print_pred: Regression model of predictors according to STROBE, bi- and...

In agdamsbo/daDoctoR: Functions For Health Research

Regression model of predictors according to STROBE, bi- and multivariable. Printable result.

Description

Printable table of regression model according to STROBE for linear or binary outcome-variables. Includes both bivariate and multivariate in the same table. Output is a list, with the first item being the main "output" as a dataframe. Automatically uses logistic regression model for dichotomous outcome variable and linear regression model for continuous outcome variable. Linear regression will give estimated adjusted true mean in list. For logistic regression gives count of outcome variable pr variable level.

Usage

print_pred(meas, adj, data, dec = 2, n.by.adj = FALSE, p.val = FALSE)

Arguments

meas	binary outcome measure variable, column name in data.frame as a string. Can be numeric or factor. Result is calculated accordingly.
adj	variables to adjust for, as string.
data	dataframe of data.
dec	decimals for results, standard is set to 2. Mean and sd is dec-1.
n.by.adj	flag to indicate whether to count number of patients in adjusted model or overall for outcome measure not NA.
p.val	flag to include p-values in table, set to FALSE as standard.

agdamsbo/daDoctoR documentation built on Aug. 30, 2022, 4:29 p.m.