Rcmdr.kr: An R Commander User in Korea

carData 패키지에 있는  OBrienKaiser 데이터셋이다. carData 패키지는 Rcmdr 패키지가 호출될 때 자동으로 함께 호출되기 때문에 R Commander에서 carData 패키지에 포함된 데이터셋들을 자유롭게 호출할 수 있다.

https://rcmdr.kr/37

OBrienKaiser 데이터셋은 R Commander에서 활성 데이터셋으로 이용할 수 있다. 그러나 '통계 > 요약 > 활성데이터셋' 기능은 사용할 수 없다. 다음과 같은 오류문을 Rgui 창에서 보게된다.

Error in sprintf(gettextRcmdr("There are %d variables in the data set %s.\nDo you want to proceed?"),  : 
  '%d'는 유효하지 않은 포맷입니다; 문자형 객체들에는 포맷 %s를 사용해주세요

입력창에 str(OBrienKaiser) 함수를 입력하고 실행하여 OBrienKaiser 데이터셋의 구조를 살펴보자.

입력창에 summary(OBrienKaiser) 함수를 입력하고 실행하여 요약 정보를 살펴보자.

O'Brien and Kaiser's Repeated-Measures Data

Description

These contrived repeated-measures data are taken from O'Brien and Kaiser (1985). The data are from an imaginary study in which 16 female and male subjects, who are divided into three treatments, are measured at a pretest, postest, and a follow-up session; during each session, they are measured at five occasions at intervals of one hour. The design, therefore, has two between-subject and two within-subject factors.

The contrasts for the treatment factor are set to -2, 1, 1 and 0, -1, 1. The contrasts for the gender factor are set to contr.sum.

Usage

OBrienKaiser

Format

A data frame with 16 observations on the following 17 variables.

treatment

a factor with levels control A B

gender

a factor with levels F M

pre.1

pretest, hour 1

pre.2

pretest, hour 2

pre.3

pretest, hour 3

pre.4

pretest, hour 4

pre.5

pretest, hour 5

post.1

posttest, hour 1

post.2

posttest, hour 2

post.3

posttest, hour 3

post.4

posttest, hour 4

post.5

posttest, hour 5

fup.1

follow-up, hour 1

fup.2

follow-up, hour 2

fup.3

follow-up, hour 3

fup.4

follow-up, hour 4

fup.5

follow-up, hour 5

Source

O'Brien, R. G., and Kaiser, M. K. (1985) MANOVA method for analyzing repeated measures designs: An extensive primer. Psychological Bulletin 97, 316–333, Table 7.

Examples

OBrienKaiser
contrasts(OBrienKaiser$treatment)
contrasts(OBrienKaiser$gender)