merTools: plotFEsim – R documentation

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plotFEsim

Plot the results of a simulation of the fixed effects

Plot the simulated fixed effects on a ggplot2 chart

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

`data`	a data.frame generated by `FEsim` with simulations of the fixed 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`	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`
`intercept`	logical, should the intercept be included, default is FALSE
`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

a ggplot2 plot of the coefficient effects

fm1 <- lmer(Reaction ~ Days + (Days | Subject), sleepstudy)
 (p1 <- plotFEsim(FEsim(fm1)))

Tools for Analyzing Mixed Effect Regression Models

v0.5.2

GPL (>= 2)

Authors

Jared E. Knowles [aut, cre], Carl Frederick [aut], Alex Whitworth [ctb]

Initial release