egsingle {lme4}R Documentation

US Sustaining Effects study

Description

A subset of the mathematics scores from the U.S. Sustaining Effects Study. The subset consists of information on 1721 students from 60 schools

Usage

data(egsingle)

Format

A data frame with 7230 observations on the following 12 variables.

schoolid
a factor of school identifiers
childid
a factor of student identifiers
year
a numeric vector indicating the year of the test
grade
a numeric vector indicating the student's grade
math
a numeric vector of test scores on the IRT scale score metric
retained
a factor with levels 0 1 indicating if the student has been retained in a grade.
female
a factor with levels Female Male indicating the student's sex
black
a factor with levels 0 1 indicating if the student is Black
hispanic
a factor with levels 0 1 indicating if the student is Hispanic
size
a numeric vector indicating the number of students enrolled in the school
lowinc
a numeric vector giving the percentage of low-income students in the school
mobility
a numeric vector

Source

These data are distributed with the HLM software package (Bryk, Raudenbush and Congdon, 1996). Conversion to the R format is described in Doran and Lockwood (2004).

References

Doran, Harold C. and Lockwood, J.R. (2004), Fitting value-added models in R, (submitted).

Examples

data(egsingle)
str(egsingle)
fm1 <- lme(math~year*size+female, egsingle,
           random = ~1|schoolid/childid,
           control = list(EMv = TRUE, msV = TRUE, opt = 'optim'))
summary(fm1)

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