plot_prop_by_level: Statified Proportion Plot with Confidence Intervals

In jraffa/MIMICbook: R functions for the Secondary Analysis of Electronic Health Records Book/ Course

Description

Statified Proportion Plot with Confidence Intervals

Usage

plot_prop_by_level(dat, factor.var1, prop.var, alpha = 0.05,
  factor.var2 = NULL, ylab = "Proportion")

Arguments

dat	a data frame of patient characteristics from a study.
factor.var1	string indicating the first factor variable to stratify by (what will be on the x-axis)
prop.var	string indicating the outcome variable to calculate the proportion of. Must be binary or logical
alpha	the confidence level to use for the confidence interval construction. by default it uses 0.05 => 95% confidence intervals.
factor.var2	string indicating the second factor variable to stratify by (what will be designated by color), default is NULL which ignores this argument.

Details

This function produic

Value

a ggplot of the probability of the outcome stratified by factor.var1 and (optionally) factor.var2

Author(s)

Jesse D. Raffa

See Also

ggplot

Examples

set.seed(1)
require(ggplot2); require(dplyr)
N <- 100;
dataf <- data.frame(outcome=sample(c(0,1),N,replace=TRUE),age=c(runif(N-1,0,100),NA),sex=as.factor(sample(c(0,1,NA),N,replace=TRUE)),cholesterol=rnorm(N,100,30),rx=as.factor(sample(c(0,1),N,replace=TRUE)))
plot_prop_by_level(dataf,"rx","outcome",factor.var2="sex")

jraffa/MIMICbook documentation built on May 19, 2019, 11:51 p.m.