| Type: | Package |
| Title: | A Comprehensive Collection of Agricultural and Agronomic Datasets |
| Version: | 0.1.0 |
| Maintainer: | Renzo Caceres Rossi <arenzocaceresrossi@gmail.com> |
| Description: | Offers a rich and diverse collection of datasets focused on agriculture, agronomy, animal science, and related fields. The package includes experimental, observational, and field-trial data on crops such as rice, wheat, corn, soybean, cotton, coffee, avocado, and orange, as well as forestry species including bamboo, eucalyptus, and timber. Datasets cover plant breeding and genetics, factorial and randomized block experiments, herbicide and insecticide efficacy trials, pest and disease infestation, soil characteristics and land suitability, plant growth regulators, seed germination, and crop yield modeling. Additional datasets address animal science topics such as cattle insemination and conception, pig and broiler growth, lamb births, and toxicology studies on aquatic and non-target species. Data sources include peer-reviewed agronomic studies, uniformity and Latin square field trials, glasshouse experiments, and international agricultural surveys. Designed for agronomists, researchers, plant and animal scientists, data scientists, and students, this package facilitates exploratory data analysis, statistical modeling, and hypothesis testing in agricultural and biological sciences. |
| License: | GPL-3 |
| Language: | en |
| URL: | https://github.com/lightbluetitan/agridatasets, https://lightbluetitan.github.io/agridatasets/ |
| BugReports: | https://github.com/lightbluetitan/agridatasets/issues |
| Encoding: | UTF-8 |
| LazyData: | true |
| Suggests: | ggplot2, testthat (≥ 3.0.0), dplyr, knitr, rmarkdown |
| Depends: | R (≥ 4.1.0) |
| Imports: | utils |
| Config/testthat/edition: | 3 |
| VignetteBuilder: | knitr |
| Config/roxygen2/version: | 8.0.0 |
| NeedsCompilation: | no |
| Packaged: | 2026-08-03 03:53:27 UTC; Renzo |
| Author: | Renzo Caceres Rossi
 [aut, cre] |
| Repository: | CRAN |
| Date/Publication: | 2026-08-08 11:50:18 UTC |
agridatasets: A Comprehensive Collection of Agricultural and Agronomic Datasets
Description
This package provides a diverse collection of datasets focused on agriculture, agronomy, animal science, and related fields. The package includes experimental, observational, and field-trial data on crops such as rice, wheat, corn, soybean, cotton, coffee, avocado, and orange, as well as forestry species including bamboo, eucalyptus, and timber.
Details
agridatasets: A Comprehensive Collection of Agricultural and Agronomic Datasets
A Comprehensive Collection of Agricultural and Agronomic Datasets.
Author(s)
Maintainer: Renzo Caceres Rossi arenzocaceresrossi@gmail.com
See Also
Useful links:
Alfalfa Soil Requirement for Land Evaluation
Description
This dataset, alfalfa_soil, is a data frame containing alfalfa soil requirement information for land evaluation. It includes codes for soil parameters together with values across suitability classes and weights.
Usage
data(alfalfa_soil)
Format
A data frame with 12 observations and 8 variables:
- code
Character vector indicating the soil parameter code
- s3_a
Character vector indicating the s3_a value
- s2_a
Character vector indicating the s2_a value
- s1_a
Character vector indicating the s1_a value
- s1_b
Character vector indicating the s1_b value
- s2_b
Character vector indicating the s2_b value
- s3_b
Character vector indicating the s3_b value
- wts
Character vector indicating the weight
Details
The dataset name has been kept as 'alfalfa_soil' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the ALUES package version 0.2.1
Apple Canker Infestation of Apple Shoots
Description
This dataset, apple_canker, is a data frame containing apple canker infestation data across apple cultivars and inoculum levels. It includes information on inoculum level, cultivar, block, number infested, and total number of shoots.
Usage
data(apple_canker)
Format
A data frame with 36 observations and 5 variables:
- inoculum
Integer vector indicating the inoculum level
- gen
Factor w/ 3 levels indicating the cultivar
- block
Factor w/ 4 levels indicating the block
- y
Integer vector indicating the number of infested shoots
- n
Integer vector indicating the total number of shoots
Details
The dataset name has been kept as 'apple_canker' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the agridat package version 1.26
Uniformity Trial in Apple
Description
This dataset, apple_uniformity, is a data frame containing apple yield data from a uniformity trial experiment. It includes information on row, column, and yield.
Usage
data(apple_uniformity)
Format
A data frame with 198 observations and 3 variables:
- row
Integer vector indicating the row
- col
Integer vector indicating the column
- yield
Integer vector indicating the yield
Details
The dataset name has been kept as 'apple_uniformity' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the agridat package version 1.26
Arabica Coffee Soil Requirement for Land Evaluation
Description
This dataset, arabica_soil, is a data frame containing arabica coffee soil requirement information for land evaluation. It includes codes for soil parameters together with values across suitability classes and weights.
Usage
data(arabica_soil)
Format
A data frame with 11 observations and 8 variables:
- code
Character vector indicating the soil parameter code
- s3_a
Character vector indicating the s3_a value
- s2_a
Character vector indicating the s2_a value
- s1_a
Character vector indicating the s1_a value
- s1_b
Character vector indicating the s1_b value
- s2_b
Character vector indicating the s2_b value
- s3_b
Character vector indicating the s3_b value
- wts
Character vector indicating the weight
Details
The dataset name has been kept as 'arabica_soil' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the ALUES package version 0.2.1
Arabica Coffee Temp Requirement for Land Evaluation
Description
This dataset, arabica_temp, is a data frame containing arabica coffee temperature requirement information for land evaluation. It includes codes for temperature parameters together with values across suitability classes and weights.
Usage
data(arabica_temp)
Format
A data frame with 3 observations and 8 variables:
- code
Character vector indicating the temperature parameter code
- s3_a
Character vector indicating the s3_a value
- s2_a
Character vector indicating the s2_a value
- s1_a
Character vector indicating the s1_a value
- s1_b
Character vector indicating the s1_b value
- s2_b
Character vector indicating the s2_b value
- s3_b
Character vector indicating the s3_b value
- wts
Character vector indicating the weight
Details
The dataset name has been kept as 'arabica_temp' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the ALUES package version 0.2.1
Arabica Coffee Terrain Requirement for Land Evaluation
Description
This dataset, arabica_terrain, is a data frame containing arabica coffee terrain requirement information for land evaluation. It includes codes for terrain parameters together with values across suitability classes and weights.
Usage
data(arabica_terrain)
Format
A data frame with 6 observations and 8 variables:
- code
Character vector indicating the terrain parameter code
- s3_a
Character vector indicating the s3_a value
- s2_a
Character vector indicating the s2_a value
- s1_a
Character vector indicating the s1_a value
- s1_b
Character vector indicating the s1_b value
- s2_b
Character vector indicating the s2_b value
- s3_b
Character vector indicating the s3_b value
- wts
Character vector indicating the weight
Details
The dataset name has been kept as 'arabica_terrain' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the ALUES package version 0.2.1
Arabica Coffee Water Requirement for Land Evaluation
Description
This dataset, arabica_water, is a data frame containing arabica coffee water requirement information for land evaluation. It includes codes for water-related parameters together with values across suitability classes and weights.
Usage
data(arabica_water)
Format
A data frame with 4 observations and 8 variables:
- code
Character vector indicating the water-related parameter code
- s3_a
Character vector indicating the s3_a value
- s2_a
Character vector indicating the s2_a value
- s1_a
Character vector indicating the s1_a value
- s1_b
Character vector indicating the s1_b value
- s2_b
Character vector indicating the s2_b value
- s3_b
Character vector indicating the s3_b value
- wts
Character vector indicating the weight
Details
The dataset name has been kept as 'arabica_water' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the ALUES package version 0.2.1
Hass Avocado Weekly US Sales
Description
This dataset, avocado_us_sale, is a data frame containing weekly Hass avocado sales data in the US. It includes information on week ending date, type, average selling price, total bulk and bags units, PLU 4046 units, PLU 4225 units, PLU 4770 units, total bagged units, small bagged units, large bagged units, and extra-large bagged units.
Usage
data(avocado_us_sale)
Format
A data frame with 810 observations and 11 variables:
- week_ending
Date vector indicating the week ending date
- type
Character vector indicating the type
- avg_selling_price
Numeric vector indicating the average selling price
- total_bulk_and_bags_units
Numeric vector indicating the total bulk and bags units
- plu4046_units
Numeric vector indicating the PLU 4046 units
- plu4225_units
Numeric vector indicating the PLU 4225 units
- plu4770_units
Numeric vector indicating the PLU 4770 units
- total_bagged_units
Numeric vector indicating the total bagged units
- sml_bagged_units
Numeric vector indicating the small bagged units
- lrg_bagged_units
Numeric vector indicating the large bagged units
- xlrg_bagged_units
Numeric vector indicating the extra-large bagged units
Details
The dataset name has been kept as 'avocado_us_sale' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the avocado package version 0.2.0
Bamboo Growth by Geographic Location
Description
This dataset, bamboo_growth, is a data frame containing observations on bamboo growth collected from different geographic locations. It includes information on sampling compartments, locality blocks, transect numbers, and counts of old and new bamboo shoots.
Usage
data(bamboo_growth)
Format
A data frame with 595 observations and 5 variables:
- Compartment
Integer vector indicating the sampling compartment
- Locality_Block
Integer vector indicating the locality block
- Transect_Number
Integer vector indicating the transect number
- Old_Shoots
Integer vector indicating the number of old bamboo shoots
- New_Shoots
Integer vector indicating the number of new bamboo shoots
Details
The dataset name has been kept as 'bamboo_growth' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the gpk package version 1.0
Biological Pest Control
Description
This dataset, biological_control, is a data frame containing measurements related to biological pest control experiments. In a study of the effectiveness of biological control of the exotic weed tansy ragwort, researchers manipulated the exposure to the ragwort flea beetle on 15 plots that had been planted with a high density of ragwort.
Usage
data(biological_control)
Format
A data frame with 15 observations and 2 variables:
- Load
Numeric vector indicating the flea beetle load (beetles/gram of ragwort dry mass)
- Mass
Numeric vector indicating the average dry mass of ragwort remaining (grams/plant)
Details
The dataset name has been kept as 'biological_control' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the Sleuth3 package version 1.0-6
Bird Abundance in Grazing Areas
Description
This dataset, bird_grazing, is a data frame containing the density of understorey birds at a series of sites in two areas either side of a stockproof fence. It includes information on time period, grazing area, and bird count.
Usage
data(bird_grazing)
Format
A data frame with 62 observations and 3 variables:
- When
Factor w/ 2 levels indicating the time period
- Grazed
Factor w/ 2 levels indicating the grazing area
- Birds
Integer vector indicating the bird count
Details
The dataset name has been kept as 'bird_grazing' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the GLMsData package version 1.4
Survival of Black Ducks
Description
This dataset, black_duck_survival, is a data frame containing survival data on black ducks (Anas rubripes) followed by the US Fish and Wildlife Service. It includes information on duck identifier, time, status, age, weight, and length.
Usage
data(black_duck_survival)
Format
A data frame with 50 observations and 6 variables:
- duck
Integer vector indicating the duck identifier
- time
Integer vector indicating the time
- status
Integer vector indicating the status
- age
Integer vector indicating the age
- weight
Integer vector indicating the weight
- length
Integer vector indicating the length
Details
The dataset name has been kept as 'black_duck_survival' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the collett package version 0.1.2
Herbicide Efficacy
Description
This dataset, blackgrass_herbicide, is a data frame containing data from a factorial experiment conducted to evaluate the efficacy of three herbicides across nine different populations of black-grass. It includes information on plot identifier, replicate, pot, population, type, herbicide, and fresh weight.
Usage
data(blackgrass_herbicide)
Format
A data frame with 135 observations and 7 variables:
- ID
Factor w/ 135 levels indicating the plot identifier
- Rep
Factor w/ 5 levels indicating the replicate
- DPot
Factor w/ 27 levels indicating the pot
- Population
Factor w/ 9 levels indicating the black-grass population
- Type
Factor w/ 2 levels indicating the type
- Herbicide
Factor w/ 3 levels indicating the herbicide
- Fwt
Numeric vector indicating the fresh weight
Details
The dataset name has been kept as 'blackgrass_herbicide' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the smbdata package version 0.2.0
Broiler Chicken Daily Measurements
Description
This dataset, broiler_growth, is a data frame containing daily weight, feed, and egg measurements for a broiler chicken. It includes information on body weight, target body weight, average daily feed intake, average daily gain, egg weight, and age.
Usage
data(broiler_growth)
Format
A data frame with 59 observations and 6 variables:
- bw
Integer vector indicating the body weight
- targetbw
Integer vector indicating the target body weight
- adfi
Numeric vector indicating the average daily feed intake
- adg
Numeric vector indicating the average daily gain
- eggwt
Numeric vector indicating the egg weight
- age
Integer vector indicating the age
Details
The dataset name has been kept as 'broiler_growth' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the agridat package version 1.26
Insecticide Doses and Tobacco Budworm
Description
This dataset, budworm_pyrethroid, is a data frame containing the number of tobacco budworms dying at various doses of pyrethroid. It includes information on number killed, total number of budworms, dose, and gender.
Usage
data(budworm_pyrethroid)
Format
A data frame with 12 observations and 4 variables:
- Killed
Integer vector indicating the number killed
- Number
Integer vector indicating the total number of budworms
- Dose
Integer vector indicating the dose
- Gender
Factor w/ 2 levels indicating the gender
Details
The dataset name has been kept as 'budworm_pyrethroid' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the GLMsData package version 1.4
Carrot Fly Infestation of Carrots
Description
This dataset, carrot_fly_infestation, is a data frame containing carrot fly infestation data across carrot genotypes and treatments. It includes information on treatment, genotype, block, total number of plants, and number of infested plants.
Usage
data(carrot_fly_infestation)
Format
A data frame with 96 observations and 5 variables:
- trt
Factor w/ 2 levels indicating the treatment
- gen
Factor w/ 16 levels indicating the genotype
- block
Factor w/ 3 levels indicating the block
- n
Integer vector indicating the total number of plants
- y
Integer vector indicating the number of infested plants
Details
The dataset name has been kept as 'carrot_fly_infestation' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the agridat package version 1.26
Insecticide Treatments for Carrot Fly Larvae
Description
This dataset, carrot_insecticide, is a data frame containing carrot fly damage data for different insecticide treatments and depths. It includes information on treatment, insecticide, depth, replicate, number of damaged carrots, and total number of carrots.
Usage
data(carrot_insecticide)
Format
A data frame with 36 observations and 6 variables:
- treatment
Factor w/ 11 levels indicating the treatment
- insecticide
Factor w/ 3 levels indicating the insecticide
- depth
Numeric vector indicating the depth
- rep
Factor w/ 3 levels indicating the replicate
- damaged
Integer vector indicating the number of damaged carrots
- total
Integer vector indicating the total number of carrots
Details
The dataset name has been kept as 'carrot_insecticide' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the agridat package version 1.26
Butterfat and Dairy Cattle
Description
This dataset, cattle_butterfat, is a data frame containing the average butterfat content for dairy cattle. It includes information on butterfat content, breed, and age.
Usage
data(cattle_butterfat)
Format
A data frame with 100 observations and 3 variables:
- Butterfat
Numeric vector indicating the butterfat content
- Breed
Factor w/ 5 levels indicating the breed
- Age
Factor w/ 2 levels indicating the age
Details
The dataset name has been kept as 'cattle_butterfat' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the GLMsData package version 1.4
Leaves for Cauliflower Plants at Different Times
Description
This dataset, cauliflower_growth, is a data frame containing cauliflower leaf growth data across different growing times. It includes information on year, degree days, and number of leaves.
Usage
data(cauliflower_growth)
Format
A data frame with 14 observations and 3 variables:
- year
Integer vector indicating the year
- degdays
Numeric vector indicating the degree days
- leaves
Integer vector indicating the number of leaves
Details
The dataset name has been kept as 'cauliflower_growth' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the agridat package version 1.26
Arabica and Robusta Chemical Composition Samples
Description
This dataset, coffee_composition, is a data frame containing chemical composition samples of Arabica and Robusta coffee. It includes information on variety, country, water, bean weight, extract yield, pH value, free acid, mineral content, fat, caffeine, trigonelline, chlorogenic acid, neochlorogenic acid, and isochlorogenic acid.
Usage
data(coffee_composition)
Format
A data frame with 43 observations and 14 variables:
- Variety
Factor w/ 2 levels indicating the coffee variety
- Country
Factor w/ 29 levels indicating the country
- Water
Numeric vector indicating the water content
- Bean Weight
Numeric vector indicating the bean weight
- Extract Yield
Numeric vector indicating the extract yield
- ph Value
Numeric vector indicating the pH value
- Free Acid
Numeric vector indicating the free acid content
- Mineral Content
Numeric vector indicating the mineral content
- Fat
Numeric vector indicating the fat content
- Caffine
Numeric vector indicating the caffeine content
- Trigonelline
Numeric vector indicating the trigonelline content
- Chlorogenic Acid
Numeric vector indicating the chlorogenic acid content
- Neochlorogenic Acid
Numeric vector indicating the neochlorogenic acid content
- Isochlorogenic Acid
Numeric vector indicating the isochlorogenic acid content
Details
The dataset name has been kept as 'coffee_composition' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the IMIFA package version 2.2.0
World Coffee Production 2016 - 2017
Description
This dataset, coffee_production, is a data frame containing world coffee production data. It includes information on country name, coffee production in 2016, and coffee production in 2017.
Usage
data(coffee_production)
Format
A data frame with 47 observations and 3 variables:
- name_long
Character vector indicating the country name
- coffee_production_2016
Integer vector indicating the coffee production in 2016
- coffee_production_2017
Integer vector indicating the coffee production in 2017
Details
The dataset name has been kept as 'coffee_production' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the spData package version 2.3.5
Cork Samples Weight on Four Sides of Trees
Description
This dataset, cork_tree_direction, is a data frame containing weight measurements of cork samples taken from four sides of trees. It includes information on tree identifier, direction, and weight.
Usage
data(cork_tree_direction)
Format
A data frame with 112 observations and 3 variables:
- tree
Factor w/ 28 levels indicating the tree identifier
- dir
Factor w/ 4 levels indicating the direction
- y
Integer vector indicating the weight
Details
The dataset name has been kept as 'cork_tree_direction' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the agridat package version 1.26
Factorial Experiment on Corn Hybrids
Description
This dataset, corn_hybrid_density, is a data frame containing observations from a factorial experiment comparing three corn hybrids across two sowing densities. It includes information on hybrid, sowing density, and the corresponding response variable.
Usage
data(corn_hybrid_density)
Format
A data frame with 24 observations and 3 variables:
- A
Character vector indicating the corn hybrid
- B
Character vector indicating the sowing density
- Resp
Numeric vector indicating the response variable
Details
The dataset name has been kept as 'corn_hybrid_density' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the AgroR package version 1.3.7
Cotton Response to Herbicide and Insecticide
Description
This dataset, cotton_pesticide, is a data frame containing observations on cotton response to herbicide and insecticide treatments. It includes information on plot identifier, herbicide level, insecticide level, and weight.
Usage
data(cotton_pesticide)
Format
A data frame with 25 observations and 4 variables:
- ID
Factor w/ 25 levels indicating the plot identifier
- H
Numeric vector indicating the herbicide level
- I
Integer vector indicating the insecticide level
- Weight
Numeric vector indicating the weight
Details
The dataset name has been kept as 'cotton_pesticide' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the smbdata package version 0.2.0
Intercropping Experiment of Maize and Cowpea
Description
This dataset, cowpea_maize_yield, is a data frame containing maize and cowpea yield data under different nitrogen levels from an intercropping experiment. It includes information on block, nitrogen level, cowpea variety, maize variety, cowpea yield, and maize yield.
Usage
data(cowpea_maize_yield)
Format
A data frame with 72 observations and 6 variables:
- block
Factor w/ 3 levels indicating the block
- nitro
Factor w/ 4 levels indicating the nitrogen level
- cowpea
Factor w/ 2 levels indicating the cowpea variety
- maize
Factor w/ 3 levels indicating the maize variety
- cyield
Integer vector indicating the cowpea yield
- myield
Integer vector indicating the maize yield
Details
The dataset name has been kept as 'cowpea_maize_yield' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the agridat package version 1.26
Crossbreeding of Cows
Description
This dataset, cows_insemination, is a data frame containing records of artificial insemination and conception in cows collected over multiple time periods. It includes insemination and conception counts for three breeding cycles labeled C1, C2, and C3.
Usage
data(cows_insemination)
Format
A data frame with 10 observations and 7 variables:
- Time
Factor indicating the time period
- Sillod_Insemination_C1
Integer vector indicating the number of inseminations during cycle 1
- Sillod_Conception_C1
Integer vector indicating the number of conceptions during cycle 1
- Sillod_Insemination_C2
Integer vector indicating the number of inseminations during cycle 2
- Sillod_Conception_C2
Integer vector indicating the number of conceptions during cycle 2
- Sillod_Insemination_C3
Integer vector indicating the number of inseminations during cycle 3
- Sillod_Conception_C3
Integer vector indicating the number of conceptions during cycle 3
Details
The dataset name has been kept as 'cows_insemination' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the gpk package version 1.0
Earthworms in Cultivated Soils
Description
This dataset, earthworm_crop_soils, is a data frame containing observations on earthworm populations in cultivated soils. It includes measurements of earthworm density and biomass together with information on crop type, year, and soil type.
Usage
data(earthworm_crop_soils)
Format
A data frame with 12 observations and 5 variables:
- Density
Integer vector indicating earthworm population density
- Biomass
Numeric vector indicating earthworm biomass
- Crop
Factor indicating the crop type
- Year
Integer vector indicating the year of observation
- Soil
Factor indicating the soil type
Details
The dataset name has been kept as 'earthworm_crop_soils' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the gpk package version 1.0
Population Dynamics of Earthworms
Description
This dataset, earthworm_population, is a data frame containing observations on earthworm population dynamics over time. It includes monthly measurements of earthworm density and biomass.
Usage
data(earthworm_population)
Format
A data frame with 46 observations and 3 variables:
- Month
Factor indicating the month of observation
- Density
Numeric vector indicating earthworm population density
- Biomass
Numeric vector indicating earthworm biomass
Details
The dataset name has been kept as 'earthworm_population' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the gpk package version 1.0
Eelworm Fumigant Treatments
Description
This dataset, eelworm_fumigation, is a data frame containing counts of eelworms before and after fumigant treatments. It includes information on block, row, column, fumigant, dose, initial and final eelworm counts, grain, straw, and weeds.
Usage
data(eelworm_fumigation)
Format
A data frame with 48 observations and 10 variables:
- block
Factor w/ 4 levels indicating the block
- row
Integer vector indicating the row
- col
Integer vector indicating the column
- fumigant
Factor w/ 5 levels indicating the fumigant
- dose
Integer vector indicating the dose
- initial
Integer vector indicating the initial eelworm count
- final
Integer vector indicating the final eelworm count
- grain
Numeric vector indicating the grain measurement
- straw
Numeric vector indicating the straw measurement
- weeds
Numeric vector indicating the weeds measurement
Details
The dataset name has been kept as 'eelworm_fumigation' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the agridat package version 1.26
Sample of Egg Weights on 24 Consecutive Days
Description
This dataset, egg_weight_daily, is a data frame containing a sample of egg weights collected on 24 consecutive days. It includes information on day and weight.
Usage
data(egg_weight_daily)
Format
A data frame with 240 observations and 2 variables:
- day
Integer vector indicating the day
- weight
Integer vector indicating the egg weight
Details
The dataset name has been kept as 'egg_weight_daily' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the agridat package version 1.26
#' Eucalyptus Grandis Progenies Height
Description
This dataset, eucalyptus_progenies, is a data frame containing height measurements of 7-year-old Eucalyptus grandis trees. It includes observations across three trials and six progenies arranged in randomized blocks.
Usage
data(eucalyptus_progenies)
Format
A data frame with 72 observations and 4 variables:
- trati
Character vector indicating the progeny
- bloc
Character vector indicating the block
- exp
Character vector indicating the trial
- resp
Numeric vector indicating the height response
Details
The dataset name has been kept as 'eucalyptus_progenies' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the AgroR package version 1.3.7
Food Consumption for Fish
Description
This dataset, fish_feeding, is a data frame containing the food consumption for various fish species. It includes information on species, maximum weight, temperature, aspect ratio, food type, and food consumption.
Usage
data(fish_feeding)
Format
A data frame with 33 observations and 6 variables:
- Species
Factor w/ 33 levels indicating the species
- MaxWt
Integer vector indicating the maximum weight
- Temp
Integer vector indicating the temperature
- AR
Numeric vector indicating the aspect ratio
- Food
Factor w/ 2 levels indicating the food type
- FoodCon
Numeric vector indicating the food consumption
Details
The dataset name has been kept as 'fish_feeding' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the GLMsData package version 1.4
Latin Square Experiment for Testing Fungicide
Description
This dataset, fungicide_latin_square, is a data frame containing data from a Latin square experiment for testing fungicide. It includes information on treatment, yield, row, and column.
Usage
data(fungicide_latin_square)
Format
A data frame with 25 observations and 4 variables:
- trt
Factor w/ 5 levels indicating the treatment
- yield
Numeric vector indicating the yield
- row
Integer vector indicating the row
- col
Integer vector indicating the column
Details
The dataset name has been kept as 'fungicide_latin_square' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the agridat package version 1.26
Uniformity Trial of Grape
Description
This dataset, grape_uniformity, is a data frame containing grape yield data from a uniformity trial experiment. It includes information on row, column, and yield.
Usage
data(grape_uniformity)
Format
A data frame with 155 observations and 3 variables:
- row
Integer vector indicating the row
- col
Integer vector indicating the column
- yield
Numeric vector indicating the yield
Details
The dataset name has been kept as 'grape_uniformity' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the agridat package version 1.26
Sleep Times for Guinea Pigs
Description
This dataset, guinea_pig_sleep, is a data frame containing sleep times for guinea pigs. It includes information on dose and sleep time.
Usage
data(guinea_pig_sleep)
Format
A data frame with 30 observations and 2 variables:
- Dose
Numeric vector indicating the dose
- Sleep
Numeric vector indicating the sleep time
Details
The dataset name has been kept as 'guinea_pig_sleep' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the GLMsData package version 1.4
Maximum Plant Size in the Hawaiian Archipelago
Description
This dataset, hawaii_plant_size, is a data frame containing maximum plant size measurements for species in the Hawaiian archipelago. It includes information on species, family, native status, sample size, 95th percentile diameter, and maximum diameter of the three largest individuals.
Usage
data(hawaii_plant_size)
Format
A data frame with 58 observations and 6 variables:
- species
Character vector indicating the species
- family
Integer vector indicating the family code
- native.status
Factor w/ 2 levels indicating the native status
- n
Integer vector indicating the sample size
- d95
Numeric vector indicating the 95th percentile diameter
- dmax3
Numeric vector indicating the maximum diameter of the three largest individuals
Details
The dataset name has been kept as 'hawaii_plant_size' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the biometrics package version 1.0.4
Hawaii Tree Diameter Growth
Description
This dataset, hawaii_tree_growth, is a data frame containing diameter growth increments of a tropical tree species in Hawaii. It includes information on tree code, diameter at breast height, total height, crown area, competition index, and current annual increment for 1986, 1987, and 1988.
Usage
data(hawaii_tree_growth)
Format
A data frame with 63 observations and 8 variables:
- tree.code
Factor w/ 63 levels indicating the tree code
- dbh
Numeric vector indicating the diameter at breast height
- toth
Numeric vector indicating the total height
- crown.area
Numeric vector indicating the crown area
- comp.ind
Numeric vector indicating the competition index
- cai.1986
Numeric vector indicating the current annual increment for 1986
- cai.1987
Numeric vector indicating the current annual increment for 1987
- cai.1988
Numeric vector indicating the current annual increment for 1988
Details
The dataset name has been kept as 'hawaii_tree_growth' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the biometrics package version 1.0.4
Rice Production in Indonesia
Description
This dataset, idn_rice_farms, is a data frame containing observations on rice production farms in Indonesia. It includes information on farm size, status, rice varieties, program participation, input use, labor, wages, output, price, and region.
Usage
data(idn_rice_farms)
Format
A data frame with 1026 observations and 20 variables:
- id
Integer vector indicating the farm identifier
- size
Numeric vector indicating the farm size
- status
Factor w/ 3 levels indicating the status
- varieties
Factor w/ 3 levels indicating the rice varieties
- bimas
Factor w/ 3 levels indicating the bimas program participation
- seed
Integer vector indicating the seed quantity
- urea
Integer vector indicating the urea quantity
- phosphate
Integer vector indicating the phosphate quantity
- pesticide
Integer vector indicating the pesticide quantity
- pseed
Numeric vector indicating the price of seed
- purea
Numeric vector indicating the price of urea
- pphosph
Numeric vector indicating the price of phosphate
- hiredlabor
Integer vector indicating the hired labor
- famlabor
Integer vector indicating the family labor
- totlabor
Integer vector indicating the total labor
- wage
Numeric vector indicating the wage
- goutput
Integer vector indicating the gross output
- noutput
Integer vector indicating the net output
- price
Numeric vector indicating the price
- region
Factor w/ 6 levels indicating the region
Details
The dataset name has been kept as 'idn_rice_farms' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the plm package version 2.6-7
Experimental Design of Kiwifruit Cover Crops
Description
This dataset, kiwi_crop_design, is a data frame containing the experimental design of a kiwifruit cover crop study. It includes information on sample identifier and treatment.
Usage
data(kiwi_crop_design)
Format
A data frame with 12 observations and 2 variables:
- SampleID
Character vector indicating the sample identifier
- Treatments
Character vector indicating the treatment
Details
The dataset name has been kept as 'kiwi_crop_design' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the easynem package version 1.0.3
Ladybird Transmission of Fungus
Description
This dataset, ladybird_fungus, is a data frame containing data from an experiment conducted to study the transmission of fungus from ladybirds to aphids on two host plant types (beans or birdsfoot trefoil). It includes information on plot identifier, run, plant, host, ladybird presence, number of cadavers, number of live aphids, and number of infected aphids.
Usage
data(ladybird_fungus)
Format
A data frame with 72 observations and 8 variables:
- ID
Factor w/ 72 levels indicating the plot identifier
- Run
Factor w/ 2 levels indicating the run
- DPlant
Factor w/ 36 levels indicating the plant
- Host
Factor w/ 2 levels indicating the host plant type
- Ladybird
Factor w/ 2 levels indicating the ladybird presence
- Cadaver
Integer vector indicating the number of cadavers
- Live
Integer vector indicating the number of live aphids
- Infected
Integer vector indicating the number of infected aphids
Details
The dataset name has been kept as 'ladybird_fungus' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the smbdata package version 0.2.0
Number of Lambs Born to 3 Breeds on 3 Farms
Description
This dataset, lamb_births, is a data frame containing lamb birth data across sheep breeds and farms. It includes information on farm, breed, lamb class, and number of lambs.
Usage
data(lamb_births)
Format
A data frame with 36 observations and 4 variables:
- farm
Factor w/ 3 levels indicating the farm
- breed
Factor w/ 3 levels indicating the breed
- lambclass
Factor w/ 4 levels indicating the lamb class
- y
Integer vector indicating the number of lambs
Details
The dataset name has been kept as 'lamb_births' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the agridat package version 1.26
Toxicity of Nitrofen in Aquatic Systems
Description
This dataset, nitrofen_toxicity, is a data frame containing data from an experiment to measure the reproductive toxicity of nitrofen on a species of zooplankton (Ceriodaphnia dubia). Fifty animals were randomized into batches of ten and each batch was put in a solution with a measured concentration of nitrofen. It includes information on nitrofen concentration and brood sizes across three broods along with the total.
Usage
data(nitrofen_toxicity)
Format
A data frame with 50 observations and 5 variables:
- conc
Numeric vector indicating the nitrofen concentration
- brood1
Numeric vector indicating the number of offspring in brood 1
- brood2
Numeric vector indicating the number of offspring in brood 2
- brood3
Numeric vector indicating the number of offspring in brood 3
- total
Numeric vector indicating the total number of offspring
Details
The dataset name has been kept as 'nitrofen_toxicity' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the boot package version 1.3-32
Orange Plant Growth Under Rootstocks
Description
This dataset, orange_rootstocks, is a data frame containing observations on orange plants grown under different rootstocks. It includes information on rootstock treatment, block, and the corresponding response variable.
Usage
data(orange_rootstocks)
Format
A data frame with 27 observations and 3 variables:
- trat
Character vector indicating the rootstock treatment
- bloco
Character vector indicating the block
- resp
Numeric vector indicating the response variable
Details
The dataset name has been kept as 'orange_rootstocks' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the AgroR package version 1.3.7
Uniformity Trial of Peach
Description
This dataset, peach_uniformity, is a data frame containing peach yield data from a uniformity trial experiment. It includes information on row, column, and yield.
Usage
data(peach_uniformity)
Format
A data frame with 144 observations and 3 variables:
- row
Integer vector indicating the row
- col
Integer vector indicating the column
- yield
Integer vector indicating the yield
Details
The dataset name has been kept as 'peach_uniformity' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the agridat package version 1.26
Weight Gain in Pigs for Different Treatments
Description
This dataset, pig_weight_gain, is a data frame containing weight gain data in pigs for different treatments. It includes information on pen, treatment, pig identifier, sex, initial weight, final weight, feed consumption, adjusted initial weight, average daily gain, and feed conversion ratio.
Usage
data(pig_weight_gain)
Format
A data frame with 30 observations and 10 variables:
- pen
Factor w/ 5 levels indicating the pen
- treatment
Factor w/ 3 levels indicating the treatment
- pig
Integer vector indicating the pig identifier
- sex
Factor w/ 2 levels indicating the sex
- weight1
Numeric vector indicating the initial weight
- weight2
Numeric vector indicating the final weight
- feed
Numeric vector indicating the feed consumption
- w0
Integer vector indicating the adjusted initial weight
- g
Numeric vector indicating the average daily gain
- h
Numeric vector indicating the feed conversion ratio
Details
The dataset name has been kept as 'pig_weight_gain' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the agridat package version 1.26
Plant Heights in Glasshouse
Description
This dataset, plant_growth_regulator, is a data frame containing plant height measurements from a glasshouse experiment conducted to examine how different doses of a growth regulator affect plant height under controlled conditions. It includes information on pot, row, column, growth regulator dose, and plant height.
Usage
data(plant_growth_regulator)
Format
A data frame with 24 observations and 5 variables:
- Pot
Factor w/ 24 levels indicating the pot
- Row
Factor w/ 4 levels indicating the row
- Column
Factor w/ 6 levels indicating the column
- Dose
Factor w/ 6 levels indicating the growth regulator dose
- Height
Numeric vector indicating the plant height
Details
The dataset name has been kept as 'plant_growth_regulator' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the smbdata package version 0.2.0
Pollen Removal
Description
This dataset, pollen_removal, is a data frame containing data from a study investigating reproductive strategies in plants. Biologists recorded the time spent at sources of pollen and the proportions of pollen removed by bumblebee queens and honeybee workers pollinating a species of lily.
Usage
data(pollen_removal)
Format
A data frame with 47 observations and 3 variables:
- PollenRemoved
Numeric vector indicating the proportion of pollen removed
- DurationOfVisit
Integer vector indicating the duration of visit
- BeeType
Factor w/ 2 levels indicating the bee type
Details
The dataset name has been kept as 'pollen_removal' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the Sleuth3 package version 1.0-6
Potato Scab Infection with Sulfur Treatments
Description
This dataset, potato_scab_sulfur, is a data frame containing observations on potato scab infection under different sulfur treatments. It includes information on infection score, treatment, row, and column.
Usage
data(potato_scab_sulfur)
Format
A data frame with 32 observations and 4 variables:
- inf
Integer vector indicating the infection score
- trt
Factor w/ 7 levels indicating the treatment
- row
Integer vector indicating the row
- col
Integer vector indicating the column
Details
The dataset name has been kept as 'potato_scab_sulfur' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the agridat package version 1.26
Body Weight in Rabbits
Description
This dataset, rabbit_body_mass, is a data frame containing measurements used to examine the relationship between hind foot length and body weight in rabbits. It includes continuous measurements of hind foot length and body weight.
Usage
data(rabbit_body_mass)
Format
A data frame with 141 observations and 2 variables:
- Hind_Foot_Length
Numeric vector indicating hind foot length
- Body_Weight
Numeric vector indicating body weight
Details
The dataset name has been kept as 'rabbit_body_mass' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the gpk package version 1.0
Red Wine Characteristics and Quality
Description
This dataset, red_wine_quality, is a data frame containing physicochemical characteristics and quality ratings of red wine samples from north Portugal. It includes information on acidity, sugar, chlorides, sulfur dioxide, density, pH, sulphates, alcohol, and quality.
Usage
data(red_wine_quality)
Format
A data frame with 1599 observations and 12 variables:
- fixed_acidity
Numeric vector indicating the fixed acidity
- volatile_acidity
Numeric vector indicating the volatile acidity
- citric_acid
Numeric vector indicating the citric acid content
- residual_sugar
Numeric vector indicating the residual sugar
- chlorides
Numeric vector indicating the chlorides content
- free_sulfur_dioxide
Numeric vector indicating the free sulfur dioxide
- total_sulfur_dioxide
Numeric vector indicating the total sulfur dioxide
- density
Numeric vector indicating the density
- pH
Numeric vector indicating the pH
- sulphates
Numeric vector indicating the sulphates content
- alcohol
Numeric vector indicating the alcohol content
- quality
Integer vector indicating the quality rating
Details
The dataset name has been kept as 'red_wine_quality' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the live package version 1.5.13
Rice and Wheat Production
Description
This dataset, rice_wheat_production, is a data frame containing observations on rice and wheat production over multiple years. It includes information on food type, year, area, production, yield, and irrigation.
Usage
data(rice_wheat_production)
Format
A data frame with 106 observations and 6 variables:
- Food
Factor indicating the food type
- Year
Factor indicating the year
- Area
Numeric vector indicating the area
- Production
Numeric vector indicating the production
- Yield
Integer vector indicating the yield
- Irrigated
Factor indicating irrigation
Details
The dataset name has been kept as 'rice_wheat_production' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the gpk package version 1.0
River Deforestation Temperatures
Description
This dataset, river_deforestation, is a data frame containing air and water temperature measurements before and after deforestation. It includes information on water temperature, air temperature, and deforestation period.
Usage
data(river_deforestation)
Format
A data frame with 56 observations and 3 variables:
- Temp_water
Numeric vector indicating the water temperature
- Temp_air
Numeric vector indicating the air temperature
- Deforestation
Factor w/ 2 levels indicating the deforestation period
Details
The dataset name has been kept as 'river_deforestation' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the EnTraineR package version 1.0.0
Robusta Coffee Soil Requirement for Land Evaluation
Description
This dataset, robusta_soil, is a data frame containing robusta coffee soil requirement information for land evaluation. It includes codes for soil parameters together with values across suitability classes and weights.
Usage
data(robusta_soil)
Format
A data frame with 10 observations and 8 variables:
- code
Character vector indicating the soil parameter code
- s3_a
Character vector indicating the s3_a value
- s2_a
Character vector indicating the s2_a value
- s1_a
Character vector indicating the s1_a value
- s1_b
Character vector indicating the s1_b value
- s2_b
Character vector indicating the s2_b value
- s3_b
Character vector indicating the s3_b value
- wts
Character vector indicating the weight
Details
The dataset name has been kept as 'robusta_soil' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the ALUES package version 0.2.1
Robusta Coffee Temp Requirement for Land Evaluation
Description
This dataset, robusta_temp, is a data frame containing robusta coffee temperature requirement information for land evaluation. It includes codes for temperature parameters together with values across suitability classes and weights.
Usage
data(robusta_temp)
Format
A data frame with 3 observations and 8 variables:
- code
Character vector indicating the temperature parameter code
- s3_a
Character vector indicating the s3_a value
- s2_a
Character vector indicating the s2_a value
- s1_a
Character vector indicating the s1_a value
- s1_b
Character vector indicating the s1_b value
- s2_b
Character vector indicating the s2_b value
- s3_b
Character vector indicating the s3_b value
- wts
Character vector indicating the weight
Details
The dataset name has been kept as 'robusta_temp' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the ALUES package version 0.2.1
Robusta Coffee Terrain Requirement for Land Evaluation
Description
This dataset, robusta_terrain, is a data frame containing robusta coffee terrain requirement information for land evaluation. It includes codes for terrain parameters together with values across suitability classes and weights.
Usage
data(robusta_terrain)
Format
A data frame with 5 observations and 8 variables:
- code
Character vector indicating the terrain parameter code
- s3_a
Character vector indicating the s3_a value
- s2_a
Character vector indicating the s2_a value
- s1_a
Character vector indicating the s1_a value
- s1_b
Character vector indicating the s1_b value
- s2_b
Character vector indicating the s2_b value
- s3_b
Character vector indicating the s3_b value
- wts
Character vector indicating the weight
Details
The dataset name has been kept as 'robusta_terrain' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the ALUES package version 0.2.1
Robusta Coffee Water Requirement for Land Evaluation
Description
This dataset, robusta_water, is a data frame containing robusta coffee water requirement information for land evaluation. It includes codes for water-related parameters together with values across suitability classes and weights.
Usage
data(robusta_water)
Format
A data frame with 4 observations and 8 variables:
- code
Character vector indicating the water-related parameter code
- s3_a
Character vector indicating the s3_a value
- s2_a
Character vector indicating the s2_a value
- s1_a
Character vector indicating the s1_a value
- s1_b
Character vector indicating the s1_b value
- s2_b
Character vector indicating the s2_b value
- s3_b
Character vector indicating the s3_b value
- wts
Character vector indicating the weight
Details
The dataset name has been kept as 'robusta_water' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the ALUES package version 0.2.1
Seed Germination with Different Temperatures
Description
This dataset, seed_germination, is a data frame containing seed germination data under different temperatures and concentrations. It includes information on temperature, replicate, concentration, number germinated, and total number of seeds.
Usage
data(seed_germination)
Format
A data frame with 64 observations and 5 variables:
- temp
Factor w/ 4 levels indicating the temperature
- rep
Factor w/ 4 levels indicating the replicate
- conc
Numeric vector indicating the concentration
- germ
Integer vector indicating the number germinated
- seeds
Integer vector indicating the total number of seeds
Details
The dataset name has been kept as 'seed_germination' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the agridat package version 1.26
Traditional Soil Color Names
Description
This dataset, soil_munsell_colors, is a data frame containing traditional soil color names associated with Munsell color notation. It includes information on Munsell notation and the corresponding traditional color name.
Usage
data(soil_munsell_colors)
Format
A data frame with 482 observations and 2 variables:
- munsell
Character vector indicating the Munsell color notation
- traditional_name
Character vector indicating the traditional color name
Details
The dataset name has been kept as 'soil_munsell_colors' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the aqp package version 2.3.2
Common Soil Minerals Munsell Colors
Description
This dataset, soil_munsell_minerals, is a data frame containing Munsell color information for common soil minerals. It includes information on mineral name, Munsell color notation, hue, value, and chroma.
Usage
data(soil_munsell_minerals)
Format
A data frame with 20 observations and 5 variables:
- mineral
Character vector indicating the mineral name
- color
Character vector indicating the Munsell color notation
- hue
Character vector indicating the Munsell hue
- value
Integer vector indicating the Munsell value
- chroma
Integer vector indicating the Munsell chroma
Details
The dataset name has been kept as 'soil_munsell_minerals' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the aqp package version 2.3.2
Soybean Cultivars Grain Yield
Description
This dataset, soybean_cultivars, is a data frame containing grain yield evaluations of ten commercial soybean cultivars arranged in randomized complete blocks. It includes information on cultivar, block, and grain yield.
Usage
data(soybean_cultivars)
Format
A data frame with 40 observations and 3 variables:
- cult
Factor w/ 10 levels indicating the cultivar
- bloc
Factor w/ 4 levels indicating the block
- prod
Numeric vector indicating the grain yield
Details
The dataset name has been kept as 'soybean_cultivars' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the AgroR package version 1.3.7
Ordered Disease Ratings of Strawberry Crosses
Description
This dataset, strawberry_cross_disease, is a data frame containing disease ratings for strawberry crosses across parental combinations. It includes information on male parent, female parent, block, disease category, and count.
Usage
data(strawberry_cross_disease)
Format
A data frame with 144 observations and 5 variables:
- male
Factor w/ 3 levels indicating the male parent
- female
Factor w/ 4 levels indicating the female parent
- block
Factor w/ 4 levels indicating the block
- category
Factor w/ 3 levels indicating the disease category
- count
Integer vector indicating the count
Details
The dataset name has been kept as 'strawberry_cross_disease' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the agridat package version 1.26
RCB Experiment of Strawberry
Description
This dataset, strawberry_yield, is a data frame containing strawberry yield data from a randomized complete block experiment. It includes information on row, column, block, genotype, and yield.
Usage
data(strawberry_yield)
Format
A data frame with 32 observations and 5 variables:
- row
Integer vector indicating the row
- col
Integer vector indicating the column
- block
Factor w/ 4 levels indicating the block
- gen
Factor w/ 8 levels indicating the genotype
- yield
Numeric vector indicating the yield
Details
The dataset name has been kept as 'strawberry_yield' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the agridat package version 1.26
Timber Tree Genetic Characteristics
Description
This dataset, timber_genetics, is a data frame containing observations on genetic and environmental components of timber tree characteristics. It includes information on locality, year, replicate, subculture, elongation, multiples, rooting, germination, seed length, and seed width.
Usage
data(timber_genetics)
Format
A data frame with 224 observations and 10 variables:
- Locality
Integer vector indicating locality
- Year
Integer vector indicating year
- Replicate
Integer vector indicating replicate
- Subculture
Integer vector indicating subculture
- Elongation
Numeric vector indicating elongation
- Multiples
Numeric vector indicating multiples
- Rooting
Numeric vector indicating rooting
- Germination
Integer vector indicating germination
- Seed_Length
Numeric vector indicating seed length
- Seed_Width
Numeric vector indicating seed width
Details
The dataset name has been kept as 'timber_genetics' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the gpk package version 1.0
Commercial Insecticides Used in Tomato Pest Control
Description
This dataset, tomato_insecticides, is a data frame containing a curated record of 15 commercial insecticide products used for pest control in tomato (Solanum lycopersicum) cultivation. Each entry documents the product name, active ingredient, and target pest group (caterpillars, aphids, whiteflies, mites, thrips, and nematodes).
Usage
data(tomato_insecticides)
Format
A data frame with 15 observations and 4 variables:
- insecticide_id
Character vector indicating the insecticide identifier
- product_name
Character vector indicating the product name
- active_ingredient
Character vector indicating the active ingredient
- target_pest
Character vector indicating the target pest group
Details
The dataset name has been kept as 'tomato_insecticides' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from Zenodo: https://zenodo.org/records/21611429
Uniformity Trial of Tomato
Description
This dataset, tomato_uniformity, is a data frame containing tomato yield data from a uniformity trial experiment. It includes information on row, column, and yield.
Usage
data(tomato_uniformity)
Format
A data frame with 180 observations and 3 variables:
- row
Integer vector indicating the row
- col
Integer vector indicating the column
- yield
Integer vector indicating the yield
Details
The dataset name has been kept as 'tomato_uniformity' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the agridat package version 1.26
Crop Protection Product Lethal Dose
Description
This dataset, toxin_lethal_dose, is a data frame containing observations used to identify the lethal dose of a crop protection product. It includes information on dose level together with the number of dead and alive individuals.
Usage
data(toxin_lethal_dose)
Format
A data frame with 6 observations and 3 variables:
- dose
Numeric vector indicating the dose level
- dead
Integer vector indicating the number of dead individuals
- alive
Integer vector indicating the number of alive individuals
Details
The dataset name has been kept as 'toxin_lethal_dose' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the mcprofile package version 1.0-1
Density and Spacing Experiment for Turnips
Description
This dataset, turnip_density, is a data frame containing turnip yield data under different plant densities and spacings across three blocks. It includes information on yield, block, spacing, and density.
Usage
data(turnip_density)
Format
A data frame with 60 observations and 4 variables:
- yield
Numeric vector indicating the yield
- block
Factor w/ 3 levels indicating the block
- spacing
Integer vector indicating the spacing
- density
Numeric vector indicating the density
Details
The dataset name has been kept as 'turnip_density' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the agridat package version 1.26
US State Soils
Description
This dataset, us_state_soils, is a data frame containing the official state soil for each US state and territory. It includes information on the state name, its abbreviation, and the corresponding soil series.
Usage
data(us_state_soils)
Format
A data frame with 52 observations and 3 variables:
- state
Character vector indicating the state name
- abbreviated
Character vector indicating the state abbreviation
- series
Character vector indicating the soil series
Details
The dataset name has been kept as 'us_state_soils' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the aqp package version 2.3.2
View Available Datasets in agridatasets
Description
This function lists all datasets available in the 'agridatasets' package. If the 'agridatasets' package is not loaded, it stops and shows an error message. If no datasets are available, it returns a message and an empty vector.
Usage
view_datasets_agridatasets()
Value
A character vector with the names of the available datasets. If no datasets are found, it returns an empty character vector.
Examples
if (requireNamespace("agridatasets", quietly = TRUE)) {
library(agridatasets)
view_datasets_agridatasets()
}
Fungus Infection in Varieties of Wheat
Description
This dataset, wheat_bunt, is a data frame containing fungus infection data for different wheat varieties. It includes information on bunt race, percentage infection, replicate, and genotype.
Usage
data(wheat_bunt)
Format
A data frame with 400 observations and 4 variables:
- bunt
Factor w/ 20 levels indicating the bunt race
- pct
Numeric vector indicating the percentage infection
- rep
Factor w/ 2 levels indicating the replicate
- gen
Factor w/ 10 levels indicating the genotype
Details
The dataset name has been kept as 'wheat_bunt' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the agridat package version 1.26
Split-Split-Plot Experiment of Wheat
Description
This dataset, wheat_splitsplit, is a data frame containing wheat yield data from a split-split-plot experiment. It includes information on row, column, yield, inoculation, treatment, genotype, moisture condition, seed treatment, and block.
Usage
data(wheat_splitsplit)
Format
A data frame with 160 observations and 9 variables:
- row
Integer vector indicating the row
- col
Integer vector indicating the column
- yield
Integer vector indicating the yield
- inoc
Factor w/ 2 levels indicating the inoculation
- trt
Integer vector indicating the treatment
- gen
Factor w/ 2 levels indicating the genotype
- dry
Factor w/ 2 levels indicating the moisture condition
- dust
Factor w/ 5 levels indicating the seed treatment
- block
Factor w/ 4 levels indicating the block
Details
The dataset name has been kept as 'wheat_splitsplit' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the agridat package version 1.26
Effect of Type and Size of Cutting on Willow Yield
Description
This dataset, willow_cutting_yield, is a data frame containing observations on the effect of cutting type and size on willow yield. It includes information on plot identifier, block, plot, cutting type, cutting size, and yield.
Usage
data(willow_cutting_yield)
Format
A data frame with 25 observations and 6 variables:
- ID
Factor w/ 25 levels indicating the plot identifier
- Block
Factor w/ 5 levels indicating the block
- Plot
Factor w/ 5 levels indicating the plot
- Type
Factor w/ 5 levels indicating the cutting type
- Size
Factor w/ 3 levels indicating the cutting size
- Yield
Numeric vector indicating the yield
Details
The dataset name has been kept as 'willow_cutting_yield' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.
Source
Data taken from the smbdata package version 0.2.0