uvsum: Get univariate summary dataframe

Description Usage Arguments

Description

Returns a dataframe corresponding to a univariate table

Usage

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  uvsum(response, covs, data, type = NULL, strata = 1,
    markup = T, sanitize = T, nicenames = T, testing = F)

Arguments

response

string vector with name of response

covs

character vector with the names of columns to fit univariate models to

data

dataframe containing data

type

string indicating he type of univariate model to fit. The function will try and guess what type you want based on your response. If you want to override this you can manually specify the type. Options in clude "linear", "logistic", "coxph", "crr", "boxcox","logistic"

strata

character vector of covariates to stratify by. Only used for coxph and crr

markup

boolean indicating if you want latex markup

sanitize

boolean indicating if you want to sanitize all strings to not break LaTeX

nicenames

booling indicating if you want to replace . and _ in strings with a space

testing

boolean to indicate if you want to print out the covariates before the model fits. This will allow you to see which model is not fitting if the function throws an error


reportRx documentation built on May 2, 2019, 10:44 a.m.

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