R Dataset / Package MASS / nlschools
Attachment | Size |
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dataset-53083.csv | 54.72 KB |
Documentation |
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On this Picostat.com 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. Try to load the nlschools data set in R by issuing the following command at the console data("nlschools"). This may 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 library("MASS") followed by data("nlschools"). Perhaps strangley, if R gives you no output after entering a command, it means the command succeeded. If it succeeded you can see the data by typing nlschools at the command-line which should display the entire dataset. 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 NetherlandsDescriptionSnijders 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. Usagenlschools FormatThis data frame contains 2287 rows and the following columns:
SourceSnijders, T. A. B. and Bosker, R. J. (1999) Multilevel Analysis. An Introduction to Basic and Advanced Multilevel Modelling. London: Sage. ReferencesVenables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer. Examplesnl1 <- 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. |
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R Output | Date |
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Picostat Output - Numerical Summaries | Jan 13, 2020 |
Picostat Output - Numerical Summaries | Jun 25, 2019 |
Picostat Output - Numerical Summaries | Jun 25, 2019 |
Picostat Output - Hollow Histogram | Jun 17, 2019 |
Picostat Output - Hollow Histogram | Jun 17, 2019 |
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