Skip to contents

All functions

ILSAinfo
ILSA information
WeMixPV()
Survey Weighted Mixed-Effects Models with Plausible Values
autoILSA()
Options for automatic functions
center() grand.mean() group.mean() getgroup.mean()
Centering
icc()
Intraclass Correlation Coefficient
leaguetable()
ILSA's league tables
lmerPV()
Linear Mixed-Models with Plausible Values
prepILSA()
Prepare ILSA Data
proflevels()
ILSA's proficiency levels
proflevels.get()
Get ILSA's proficiency levels
repcreate() repcreateILSA()
Creation of Replicate Weights
repdata
Simulated data with 5000 cases
repglm()
Generalized Linear Models with Replicate Weights
replm()
Linear Models with Replicate Weights
repmean()
Mean, Variance and Standard Deviation with Replicate Weights
repmeanCI()
Confidence Intervals for Replicated Means
repmeandif()
Mean Difference of Independent Samples with Replicate Weights
repprop()
Proportions with Replicate Weights
repprop.table()
Tables for Proportions with Replicate Weights
repquant()
Quantiles with Replicate Weights
reprho()
Correlations with Replicate Weights
repse() repsecomp() pvse()
Standard Error for Estimates with Replicate Weights and Plausible Values
repsetup() repsetupILSA()
Setup for Analysis with Replicate Weights
timss99
Random TIMSS 99 data with 3000 cases and 3 countries