riskDifference: riskDifference
In TaylorAndrew/atAnalyze: Methods for Iterative Analytical Reporting

Description Usage Arguments Value Examples

riskDifference provides the risk difference for a categorical predictor and binary outcome. The reference/control group is the first level of the predictor variable.

1	riskDifference(data, y, x)

`data`	data.frame containing x and y
`y`	outcome variable name
`x`	categorical predictor variable name

A data.frame object containing relative risks with 95

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#test_df <- data.frame(x=sample(c(1,2,3), 50, replace = T),
#                      y=sample(c(0,1), 50, replace = T))
#riskDifference(test_df, x = 'x', y = 'y')

TaylorAndrew/atAnalyze documentation built on May 9, 2019, 4:21 p.m.