Package 'MSMwRA'

Title: Multivariate Statistical Methods with R Applications
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".
Authors: Hasan BULUT
Maintainer: Hasan BULUT <[email protected]>
License: GPL-3
Version: 1.5
Built: 2025-02-16 04:00:12 UTC
Source: https://github.com/cran/MSMwRA

Help Index


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).


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).


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).


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).