reshape_long_tidyr: Reshape dataset to wide format - tidyr version

In marianschmidt/msSPChelpR: Helper Functions for Second Primary Cancer Analyses

Reshape dataset to wide format - tidyr version

Description

Reshape dataset to wide format - tidyr version

Usage

reshape_long_tidyr(wide_df, case_id_var, time_id_var, datsize = Inf)

Arguments

wide_df	dataframe
case_id_var	String with name of ID variable indicating same patient. E.g. idvar="PUBCSNUM" for SEER data.
time_id_var	String with name of variable that indicates diagnosis per patient. E.g. timevar="SEQ_NUM" for SEER data.
datsize	Number of rows to be taken from df. This parameter is mainly for testing. Default is Inf so that df is fully processed.

Value

long_df

Examples

data(us_second_cancer)

#prep step - reshape wide a sample of 10000 rows from us_second_cancer
usdata_wide_sample <- msSPChelpR::reshape_wide(us_second_cancer,
                         case_id_var = "fake_id", 
                         time_id_var = "SEQ_NUM", 
                         timevar_max = 2,
                         datsize = 10000)

#now we can reshape long again
msSPChelpR::reshape_long_tidyr(usdata_wide_sample,
                         case_id_var = "fake_id", 
                         time_id_var = "SEQ_NUM")

marianschmidt/msSPChelpR documentation built on Feb. 1, 2024, 6:45 a.m.