niceclogit: Lisa's Conditional Logistic Regression Table Function

In lisaerein/daphne: This package creates nice looking regression tables.

Description

This function creates a nice looking regression table from a clogit object. Estimates are presented as OR's (coefficients and CI's are exponentiated).

Usage

niceclogit(df, fit, intercept = FALSE, ref = FALSE, labels = NA,
  blanks = FALSE, overallp = TRUE, est.dec = 2, ci.dec = 2,
  pval.dec = 3, htmlTable = FALSE, color = "#EEEEEE",
  printRMD = TRUE)

Arguments

df	Dataframe.
fit	clogit model object.
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).
printRMD	Whether to print resulting table to Rmd via xtable. Default = TRUE.

lisaerein/daphne documentation built on May 21, 2019, 6:42 a.m.