niceglmer: Lisa's GLMER Regression Table Function
In lisaerein/daphne: This package creates nice looking regression tables.

Description Usage Arguments

View source: R/niceglmer.R

This function creates a nice looking regression table from a lmer/glmer object

niceglmer(df, fit, covs, family = "gaussian", exp = NA, estname = NA,
  intercept = FALSE, ref = FALSE, labels = NA, blanks = FALSE,
  overallp = FALSE, est.dec = 2, ci.dec = 2, pval.dec = 3,
  htmlTable = FALSE, color = "#EEEEEE", printRMD = TRUE)

`df`	Dataframe.
`fit`	GLMER binomial model object.
`covs`	Vector of covariate names in model.
`family`	Model family in quotes ("guassian", "binomial", "poisson").
`exp`	Option to exponentiate coefficients and CI's. Default is NA (exp for logistic and poisson families only).
`estname`	Option to override estimate column name. Default is NA.
`intercept`	If TRUE the intercept will be included in the table. Default is FALSE.
`ref`	If TRUE, the reference category gets its own line (left blank). Default is FALSE.
`labels`	Covariate labels - default is NA (variable names are used).
`blanks`	If TRUE, blank lines will be inserted separating covariates - default is FALSE.
`overallp`	If TRUE, a likelihood ratio test pvalue (using drop1 Chisq tests) will be calculated for each variable. Default is TRUE.
`est.dec`	Number of decimal places for estimates - default is 2.
`ci.dec`	Number of decimal places for CI - default is 2.
`pval.dec`	Number of decimal places for pvalues - default is 3.
`htmlTable`	Whether to use htmlTable package to display table (instead of xtable). Default = FALSE.
`color`	Hex color to use for htmlTable output. Default = "#EEEEEE" (grey).