Function reference • msSPChelpR

Data Preparation Functions for dataset preparation
`histgroup_iarc()`	Create variable for groups of malignant neoplasms considered to be histologically 'different' for the purpose of defining multiple tumors, ICD-O-3
`pat_status()`	Determine patient status at specific end of follow-up - tidyverse version
`pat_status_tt()`	Determine patient status at specific end of follow-up - tidytable version
`renumber_time_id()`	Renumber the time ID per case (i.e. Tumor sequence)
`renumber_time_id_tt()`	Renumber the time ID per case (i.e. Tumor sequence) - tidytable version
`reshape_long()`	Reshape dataset to long format - stats::reshape version
`reshape_long_tidyr()`	Reshape dataset to wide format - tidyr version
`reshape_long_tt()`	Reshape dataset to wide format - tidytable version
`reshape_wide()`	Reshape dataset to wide format
`reshape_wide_tidyr()`	Reshape dataset to wide format - tidyr version
`reshape_wide_tt()`	Reshape dataset to wide format - tidytable version
`vital_status()`	Determine vital status at end of follow-up depending on pat_status - tidyverse version
`vital_status_tt()`	Determine vital status at end of follow-up depending on pat_status - tidytable version
Calculations Functions to do calculations
`asir()`	Calculate age-standardized incidence rates
`calc_futime()`	Calculate follow-up time per case until end of follow-up depending on pat_status - tidyverse version
`calc_futime_tt()`	Calculate follow-up time per case until end of follow-up depending on pat_status - tidytable version
`calc_refrates()`	Calculate age-, sex-, cohort-, region-specific incidence rates from a cohort
`ir_crosstab()`	Calculate crude incidence rates and crosstabulate results by break variables
`ir_crosstab_byfutime()`	Calculate crude incidence rates and cross-tabulate results by break variables; cumulative FU-times as are used as xbreak_var
`sir_byfutime()`	Calculate standardized incidence ratios with custom grouping variables stratified by follow-up time
`sir_ratio()` `sir_ratio_lci()` `sir_ratio_uci()`	Calculate Ratio of two SIRs or SMRs
Results presentation Functions to present results
`summarize_sir_results()`	Summarize detailed SIR results
Data Data sets used in examples
`us_second_cancer`	US Second Cancer Data
`us_refrates_icd2`	US Reference Rates for Cancer Data (ICD-O 2digit code)
`population_us`	US Populations Data
`standard_population`	Standard Populations Data

Reference

Data Preparation

Calculations

Results presentation

Data