nicepolr: Lisa's Propoportional Odds Logistic Regression Table Function

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

Usage

nicepolr(df, fit = NA, method = "logistic", covs = NA, out = NA,
  regtype = "multi", exp = TRUE, estname = "Estimate", labels = NA,
  overallp = FALSE, est.dec = 2, ci.dec = 2, pval.dec = 3,
  color = "#EEEEEE", printRMD = FALSE, htmlTable = TRUE)

Arguments

df	Dataframe [REQUIRED].
fit	polr model object [fit or method/covs/out are REQUIRED].
method	Method name in quotes ("logistic", "probit", "loglog", "cloglog", "cauchit") [REQUIRED if fit = NA].
covs	Vector of covariates to include in model [fit or method/covs/out are REQUIRED].
out	Outcome for regression model [fit or method/covs/out are REQUIRED].
regtype	Should the covariates be run separately ("uni") or together in a multiple regression model ("multi") [REQUIRED if no fit].
exp	Option to exponentiate coefficients and CI's. Default is NA (estimates are only exponentiated for binomial and poisson method models by default).
estname	Option to override default estimate column name. Default is NA.
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 95 \item pval.decNumber of decimal places for pvalues. Default is 3. \item colorHex color to use for htmlTable output. Default is "#EEEEEE" (grey). \item printRMDWhether to print resulting table to Rmd via xtable. Default is FALSE \item htmlTableWhether to use htmlTable package to display table (instead of xtable). Default is TRUE

This function creates a nice looking regression table for a polr MASS model. Input either a polr object or outcome variable, vector of covariates, method, and type of analysis (bivariate or multiple regression). The function returns a dataframe with regression coefficients. By default a table is also printed via htmlTable - handy for R markdown html reports. coefficients logistic odds ordered polr proportional regression table

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