| Type: | Package |
| Title: | Multivariate Statistical Methods with R Applications |
| Version: | 1.5 |
| Date: | 2021-07-08 |
| Author: | Hasan BULUT |
| Maintainer: | Hasan BULUT <hasan.bulut@omu.edu.tr> |
| Description: | Data sets in the book entitled "Multivariate Statistical Methods with R Applications", H.Bulut (2018). The book was published in Turkish and the original name of this book will be "R Uygulamalari ile Cok Degiskenli Istatistiksel Yontemler". |
| LazyData: | true |
| License: | GPL-3 |
| RoxygenNote: | 7.1.1 |
| NeedsCompilation: | no |
| Packaged: | 2021-07-08 19:09:28 UTC; user |
| Repository: | CRAN |
| Date/Publication: | 2021-07-08 18:30:02 UTC |
Agriculture
Description
The data set is used in Sample 8.3. The data set consists of 4 variables and 9 observations. This data is imaginary. Moreover the first three variables of this data are used in Sample 8.2.
Usage
Agriculture
Format
A data frame with 9 rows and 4 variables. The variables are as follows:
- Y
The yield values (Dependent variables values)
- X1
The fertilizer values (The first independent variables values)
- X2
The irrigation values (The second independent variables values)
- D
The experience values (The third independent values)
Source
The data set is used in the book entitled Multivariate Statistical Methods with R Applications (R Uygulamalari ile Cok Degiskenli Istatistiksel Yontemler), H.Bulut (2018).
The PISA 2012 Results of OECD Countries
Description
The data set is used in Sample 10.2 and given in Table 10.3. The data set consists of 3 variables and 34 observations. This data contains PISA 2012 results published by OECD.
Usage
PISA
Format
A data frame with 34 rows and 4 variables. The variables are as follows:
- COUNTRY
The names of countries (in Turkish)
- Reading
The reading scores of countries in PISA 2012
- Science
The science scores of countries in PISA 2012
- Mathematics
The mathematics scores of countries in PISA 2012
Source
The data set is taken from PISA 2012 Report published by OECD and used in the book entitled Multivariate Statistical Methods with R Applications (R Uygulamalari ile Cok Degiskenli Istatistiksel Yontemler), H.Bulut (2018).
Sex, Education and Reading Data
Description
The data set is used in Sample 15.2 and given in Table 15.1. The data set consists of 3 variables and 21 observations. This data is imaginary.
Usage
SER
Format
A data frame with 21 rows and 3 variables. The variables are as follows:
- Sex
The sex of observations
- Education
The education level of observations
- Reading
The reading case of observations
Source
The data set is used in the book entitled Multivariate Statistical Methods with R Applications (R Uygulamalari ile Cok Degiskenli Istatistiksel Yontemler), H.Bulut (2018).
Simulated Data 1
Description
The data set is used in Sample 3.1. The data set consists of 3 variables and 10 observations. This data is imaginary.
Usage
Sim1
Format
A data frame with 10 rows and 3 variables.
Source
The data set is used in the book entitled Multivariate Statistical Methods with R Applications (R Uygulamalari ile Cok Degiskenli Istatistiksel Yontemler), H.Bulut (2018).
Simulated Data 2
Description
The data set is used in Sample 3.4. The data set consists of 2 variables and 10 observations. This data is simulated from multivariate normal distribition with mean vector (5,10) and covariance matrix [9,10,10,25].
Usage
Sim2
Format
A data frame with 10 rows and 2 variables.
Source
The data set is used in the book entitled Multivariate Statistical Methods with R Applications (R Uygulamalari ile Cok Degiskenli Istatistiksel Yontemler), H.Bulut (2018).
Economic Indicators of Cities in Turkey
Description
The data set is used in Sample 14.2 and given in Table 14.2. The data set consists of 4 variables and 81 observations. This data contains some economic indicators of cities in Turkey.
Usage
ecodata
Format
A data frame with 81 rows and 4 variables. The variables are as follows:
- Cities
The names of cities in Turkey
- X1
The employment rate in cities
- X2
The unemployment rate in cities
- X3
The satisfaction rate from job
Source
The data set is taken from Turkish Statistical Institute (TUIK) and used in the book entitled Multivariate Statistical Methods with R Applications (R Uygulamalari ile Cok Degiskenli Istatistiksel Yontemler), H.Bulut (2018).
The Happiness Data of OECD Countries
Description
The data set is given in Table 4.1. The data set gives happiness scores of 155 countries. The data consists of 3 variables and 155 observations.
Usage
happiness
Format
A data frame with 155 rows and 3 variables. The variables are as follows:
- COUNTRY
The name of countries
- Happiness
The happiness scores of countries
- Class
The class value of countries according to happiness scores
Source
The data set is taken World Happiness Report-2017 by OECD and used in the book entitled Multivariate Statistical Methods with R Applications (R Uygulamalari ile Cok Degiskenli Istatistiksel Yontemler), H.Bulut (2018).
Security and Social Life Indicators of Cities in Turkey
Description
The data set is used in Sample 13.2 and given in Table 13.1. The data set consists of 9 variables and 81 observations. This data contains security and social life indicators of cities in Turkey.
Usage
ssl
Format
A data frame with 81 rows and 9 variables. The variables are as follows:
- Cities
The names of cities in Turkey
- X1
The murder rate in cities
- X2
The number of traffic accidents in cities
- X3
The rate of people who feel safe themselves when walking alone at night
- X4
The rate of satisfaction from public security services
- Y1
Cinema and theater audience
- Y2
Shopping center area per thousand people
- Y3
Satisfaction with social relations
- Y4
Satisfaction with social life
Source
The data set is taken from Turkish Statistical Institute (TUIK) and used in the book entitled Multivariate Statistical Methods with R Applications (R Uygulamalari ile Cok Degiskenli Istatistiksel Yontemler), H.Bulut (2018).