| Type: | Package |
| Title: | Perform Weighted Linear Regression for Calibration Curve |
| Version: | 0.1.6 |
| Author: | Yonghui Dong |
| Maintainer: | Yonghui Dong <yonghui.dong@gmail.com> |
| Description: | Automated assessment and selection of weighting factors for accurate quantification using linear calibration curve. In addition, a 'shiny' App is provided, allowing users to analyze their data using an interactive graphical user interface, without any programming requirements. |
| Depends: | R (≥ 3.5.0) |
| Imports: | plotly, dplyr, stats, magrittr, shiny, bs4Dash, fresh, DT, tools, readxl, rmarkdown, readr |
| License: | GPL-3 |
| Encoding: | UTF-8 |
| LazyData: | true |
| RoxygenNote: | 7.1.2 |
| NeedsCompilation: | no |
| Packaged: | 2021-11-09 21:26:31 UTC; dong |
| Repository: | CRAN |
| Date/Publication: | 2021-11-09 21:40:02 UTC |
Perform Calibration
Description
Perform calibration
Usage
doCalibration(DF, weights = NULL)
Arguments
DF |
data frame, it must contain a column named 'Concentration' and a column named 'Response' |
weights |
default is NULL |
Value
dataframe, the quantification result
Author(s)
Yonghui Dong
Examples
Concentration <- rep(c(10, 50, 100, "unknown"), each = 3)
Response <- c(133, 156, 177, 6650, 7800, 8850, 13300, 15600, 17700, 156, 1450, 1400)
DF <- cbind.data.frame(Concentration = Concentration, Response = Response)
result <- doCalibration(DF)
Evaluate Different Weighting Factors
Description
Evaluate different weighting factors.
Usage
doEvaluation(DF, p = 0.05, userWeights = NULL)
Arguments
DF |
data frame, it must contain a column named 'Concentration' and a column named 'Response' |
p |
p-value, default is 0.05 |
userWeights |
user defined weights in linear regression, default is NULL. User can easily define weights, e.g., "1/x", "1/x^2", "1/y" |
Value
dataframe, weighting factor evaluation result
Author(s)
Yonghui Dong
Examples
Concentration <- rep(c(10, 50, 100, 500), each = 3)
Response <- c(133, 156, 177, 1300, 1450, 1600, 4000, 3881, 3700, 140000, 139000, 140000)
DF <- cbind.data.frame(Concentration = Concentration, Response = Response)
result <- doEvaluation(DF)
Perform F Test
Description
perform F test to evaluate homoscedasticity.
Usage
doFtest(DF, p = 0.01, lower.tail = FALSE)
Arguments
DF |
data frame, it must contain a column named 'Concentration' and a column named 'Response' |
p |
p-value |
lower.tail |
default is FALSE |
Value
dataframe, F test result
Author(s)
Yonghui Dong
Examples
Concentration <- rep(c(10, 50, 100, 500), each = 3)
Response <- c(133, 156, 177, 1300, 1450, 1600, 4000, 3881, 3700, 140000, 139000, 140000)
DF <- cbind.data.frame(Concentration, Response)
result <- doFtest(DF, p = 0.01)
Perform Weighted Linear Regression
Description
Perform weighted linear regression and evaluate by using summed residual.
Usage
doWlm(DF, weights = NULL)
Arguments
DF |
data frame, it must contain a column named 'Concentration' and a column named 'Response' |
weights |
the weights used in linear regression, default is NULL. User can easily define weights, e.g., "1/x", "1/x^2", "1/y" |
Value
list, weighted linear regression result
Author(s)
Yonghui Dong
Examples
Concentration <- rep(c(10, 50, 100, 500), each = 3)
Response <- c(133, 156, 177, 1300, 1450, 1600, 4000, 3881, 3700, 140000, 139000, 140000)
DF <- cbind.data.frame(Concentration = Concentration, Response = Response)
result <- doWlm(DF, weights = "1/x^2")
expData
Description
Two example data set: one with internal standards (IS), and one without IS
Usage
expData
Format
A list with 2 data frames:
- noSTD
the example data without IS
- STD
the example data with IS
Run CCWeights Gui
Description
Run CCWeights Gui.
Usage
runGui()
Value
Gui
Author(s)
Yonghui Dong
Examples
if(interactive()){}