R Dataset / Package MASS / nlschools

On this R-data statistics page, you will find information about the nlschools data set which pertains to Eighth-Grade Pupils in the Netherlands. The nlschools data set is found in the MASS R package. You can load the nlschools data set in R by issuing the following command at the console data("nlschools"). This will load the data into a variable called nlschools. If R says the nlschools data set is not found, you can try installing the package by issuing this command install.packages("MASS") and then attempt to reload the data with the library() command. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the nlschools R data set. The size of this file is about 56,037 bytes.

Eighth-Grade Pupils in the Netherlands

Description

Snijders and Bosker (1999) use as a running example a study of 2287 eighth-grade pupils (aged about 11) in 132 classes in 131 schools in the Netherlands. Only the variables used in our examples are supplied.

Usage

nlschools

Format

This data frame contains 2287 rows and the following columns:

lang: language test score.
IQ: verbal IQ.
class: class ID.
GS: class size: number of eighth-grade pupils recorded in the class (there may be others: see COMB, and some may have been omitted with missing values).
SES: social-economic status of pupil's family.
COMB: were the pupils taught in a multi-grade class (0/1)? Classes which contained pupils from grades 7 and 8 are coded 1, but only eighth-graders were tested.

Source

Snijders, T. A. B. and Bosker, R. J. (1999) Multilevel Analysis. An Introduction to Basic and Advanced Multilevel Modelling. London: Sage.

References

Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.

Examples

nl1 <- within(nlschools, {
IQave <- tapply(IQ, class, mean)[as.character(class)]
IQ <- IQ - IQave
})
cen <- c("IQ", "IQave", "SES")
nl1[cen] <- scale(nl1[cen], center = TRUE, scale = FALSE)nl.lme <- nlme::lme(lang ~ IQ*COMB + IQave + SES,
random = ~ IQ | class, data = nl1)
summary(nl.lme)

Dataset imported from https://www.r-project.org.

Attachments: csv, json

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