instruction {rlme} | R Documentation |
Instruction
Description
A data frame on school instruction results.
Format
A data frame with 1190 observations on the following 13 variables.
- X
a numeric vector
- girl
a numeric vector
- minority
a numeric vector
- mathkind
a numeric vector
- mathgain
a numeric vector
- ses
a numeric vector
- yearstea
a numeric vector
- mathknow
a numeric vector
- housepov
a numeric vector
- mathprep
a numeric vector
- classid
a numeric vector identifying the class within school
- schoolid
a numeric vector identifying the school
- childid
a numeric vector
Source
West, B., Welch, K. B., & Galecki, A. T. (2006). Linear mixed models: a practical guide using statistical software. Chapman & Hall/CRC.
Examples
# The following code takes a few minutes to run.
# In the interest of saving CRAN's example testing time,
# it has been commented out. If you want to use it,
# just uncomment and run.
# data(instruction)
# attach(instruction)
# data = data.frame(
# y = mathgain,
# mathkind = mathkind,
# girl = girl,
# minority = minority,
# ses = ses,
# school = factor(schoolid),
# section = factor(classid))
# fit.rlme = rlme(y ~ 1 + mathkind + girl + minority + ses + (1 | school) + (1 | school:section),
# data = data,
# method = "gr")
# summary(fit.rlme)
[Package rlme version 0.5 Index]