riskdiff.table: Risk difference

In catfun: Categorical Data Analysis

Description

Calculate risk difference and 95 percent confidence interval using Wald method.

Usage

## S3 method for class 'table'
riskdiff(df, conf.level = 0.95, rev = c("neither",
  "rows", "columns", "both"), ...)

Arguments

df	a 2 x 2 frequency table.
conf.level	confidence level for confidence interval, default is 0.95.
rev	reverse order of cells. Options are "row", "columns", "both", and "neither" (default).
...	further arguments passed to or from other methods.

Value

a list with class "rdiff" containing the following components:

rd	risk difference
conf.level	specified confidence level
ci	calculated confidence interval
p1	proportion one
p2	proportion two
tab	2x2 table using for calculating risk difference

Examples

trial <- data.frame(
  disease = c(rep("yes", 2), rep("no", 2)),
  treatment = c(rep(c("estrogen", "placebo"), 2)),
  count = c(751, 623, 7755, 7479))

xtabs(count ~ treatment + disease, data = trial) %>% riskdiff()

catfun documentation built on June 14, 2019, 5:04 p.m.