R: Plot the results of a simulation of the random effects

plotREsim {merTools} | R Documentation

## Plot the results of a simulation of the random effects

### Description

Plot the simulated random effects on a ggplot2 chart. Points that are distinguishable from zero (i.e. the confidence band based on `level` does not cross the red line) are highlighted. Currently, the plots are ordered according to the grouping factor.

### Usage

    plotREsim(data, level = 0.95, stat = "median", sd = TRUE,
      sigmaScale = NULL, oddsRatio = FALSE, labs = FALSE)

### Arguments

`data` | a data.frame generated by `REsim` with simulations of the random effects of a `merMod`
`level` | the width of the confidence interval
`stat` | a character value indicating the variable name in data of the midpoint of the estimated interval, e.g. "mean" or "median"
`sd` | a logical indicating whether or not to plot error bars around the estimates (default is TRUE). Calculates the width of the error bars based on `level` and the variable named "sd" in `data`
`sigmaScale` | a numeric value to divide the estimate and the standard deviation by in the case of doing an effect size calculation
`oddsRatio` | logical, should the parameters be converted to odds ratios before plotting
`labs` | logical, include the labels of the groups on the x-axis

### Value

a ggplot2 plot of the coefficient effects

### Examples

     require(ggplot2); require(lme4);
     fm1 <- lmer(Reaction ~ Days + (Days | Subject), sleepstudy)
     (p1 <- plotREsim(REsim(fm1)))
     #Plot just the random effects for the Days slope
     (p2 <- plotREsim(REsim(fm1)[REsim(fm1)$term=="Days",]))

[Package merTools version 0.3.0 Index]