lmerSimple: lmerSimple
In kthorstmann/horst: Functions for the processing of questionnaire data

A wrapper function for lmer models. The input are only character vectors. the function can therefore be run over lists of character vectors.

1	lmerSimple(criterion, fixed, random, interaction, cluster, data)

`criterion`	The value that is predicted.
`fixed`	The fixed part of the multilevel-model. Can be variables on any level.
`random`	The random part of the multilevel-model. Can be variables on any level.
`interaction`	The interaction variables. Please enter as interaction term in `lmer` format.
`cluster`	The cluster variable in the data frame.
`data`	The data set.

The model assumes always random intercepts.

Returns an lmer model.

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library(lme4)
fit <- lmerSimple("Reaction", "Days", "Days", "", "Subject", sleepstudy)
fit

kthorstmann/horst documentation built on May 20, 2019, 7:04 p.m.

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