Make a table with univariable and multivariable logistic results

Given a dataset, make two column output with univariable results for each predictor, and second column with single multivariable model

univAndMultiGLM(outcome, covars_uni, covars_multi = NULL, p_multiV = 0.05,
  family = "binomial", file = "", d = 2, d_pVal = 3, CIs = TRUE,
  z0 = 1.96, name = "GLM", widthCharCol = 6, markdown = FALSE)

Arguments

outcome	Vector of outcome
covars_uni	Matrix with columns to be used in univariable models
covars_multi	Matrix with columns to be used in multivariable models. If NULL, univariable predictors with p < 0.05 will be used.
p_multiV	ANOVA p-value threshold used for inclusion in multiariable model. Ignored if covars_multi passed in.
family	Model family for GLM: "binomial", "gaussian", "poisson".
file	File name for LaTeX output to be sent to.
d	Decimal places used for HR and confidence interval.
d_pVal	Decimal places used for p value.
CIs	Logical to indicate whether confidence intervals should be printed.
z0	Critical value used for confidence interval.
name	Name of model to be used for caption
widthCharCol	Width of first column with predictor names and levels.
markdown	Boolean to indicate that output be compatible with markdown rather than LaTeX.

Examples

dontrun{
univAndMultiGLM()
}

#> Error: <text>:1:8: unexpected '{'
#> 1: dontrun{
#>            ^