| attitude {datasets} | R Documentation |
The Chatterjee–Price Attitude Data
Description
From a survey of the clerical employees of a large financial organization, the data are aggregated from the questionnaires of the approximately 35 employees for each of 30 (randomly selected) departments. The numbers give the percent proportion of favourable responses to seven questions in each department.
Usage
attitudeFormat
A data frame with 30 observations on 7 variables. The first column are the short names from the reference, the second one the variable names in the data frame:
| Y | rating | numeric | Overall rating |
| X[1] | complaints | numeric | Handling of employee complaints |
| X[2] | privileges | numeric | Does not allow special privileges |
| X[3] | learning | numeric | Opportunity to learn |
| X[4] | raises | numeric | Raises based on performance |
| X[5] | critical | numeric | Too critical |
| X[6] | advance | numeric | Advancement |
Source
Chatterjee S., Price B. (1977). Regression Analysis by Example. Wiley, New York, NY. ISBN 0471015210.
Chatterjee S., Price B. (1991). Regression Analysis by Example, Second edition. Wiley, New York, NY. ISBN 0471884790. Section 3.7, pages 68ff.
Examples
require(stats); require(graphics)
pairs(attitude, main = "attitude data")
summary(attitude)
summary(fm1 <- lm(rating ~ ., data = attitude))
opar <- par(mfrow = c(2, 2), oma = c(0, 0, 1.1, 0),
mar = c(4.1, 4.1, 2.1, 1.1))
plot(fm1)
summary(fm2 <- lm(rating ~ complaints, data = attitude))
plot(fm2)
par(opar)
[Package datasets version 4.6.0 Index]