SEERaBomb (version 2019.2)

mkDemographics: Make Demographics Tables

Description

Provides, in an Excel file, quartiles of age at diagnoses in one sheet and median overall survival times on a second. Many tables are placed in each sheet. One Excel file is produced per cancer type.

Usage

mkDemographics(canc,outDir="~/Results/SEERaBomb")

Arguments

canc

A dataframe that includes cancer, age at diagnosis (agedx), age (grouped agedx), race, sex, year (grouped), COD, surv, and trt.

outDir

Folder of the Excel file(s) that will be generated.

Value

Returned invisibly is a list of data frames corresponding to tables of the Excel file(s).

See Also

SEERaBomb-package

Examples

# NOT RUN {
library(SEERaBomb)
rm(list=ls())
load("~/data/SEER/mrgd/cancDef.RData")
canc$year=cut(canc$yrdx,c(1973,2003,2009,2015),include.lowest = T,dig.lab=4)
canc$age=cut(canc$agedx,c(0,40,50,60,70,80,90,126),include.lowest = T)
canc=canc%>%filter(surv<9999)
canc=canc%>%select(-age86,-radiatn,-chemo,-db,-casenum,-modx,-seqnum,-yrbrth,-ICD9,-reg,-histo3)
canc=canc%>%filter(cancer%in%c("AML","MDS","MPN"))
head(canc,3)
mkDemographics(canc)
# }