reshape_for_SIR: Data reshaping for indirect adjustment

In mlaviolet/tidyepi: Functions for Epidemiology Analysis

Data reshaping for indirect adjustment

Description

Reshape data to four columns for indirect adjustment.

Usage

reshape_for_SIR(df, strata, split_var, study_group, n, pop)

Arguments

df	A data frame.
strata	Variable that contains strata (such as age).
split_var	Variable to split into study and referent groups.
study_group	Value of split_var to use as study group.
n	Number of events.
pop	Number of person-years at risk.

Value

A data table with the following fields:

strata

Grouping variable

study_count

Events in study group

study_pop

Person-years at risk in study group

ref_count

Events in referent group

ref_pop

Person-years at risk in referent group

mlaviolet/tidyepi documentation built on May 14, 2022, 10:04 p.m.