SEERaBomb (version 2019.2)

mkDF: Converts seerSet$L series to a data.frame

Description

Creates a data.frame of observed and expected cases for each first and second cancer and treatment. Use of this function is deprecated. Use getDF() instead, if needed: csd now calls getDF internally for the most recent time series, so even it may not need to be called directly.

Usage

mkDF(seerSet,srs)

Arguments

seerSet

seerSet object produced by tsd().

srs

Series. The time series of interest. NULL (default) implies the currently active series, which is the most recent. A number i implies the ith series. A string identifies the series by name (numeric vectors will be coerced to such a string via paste0("b",paste(brks,collapse="_")) where brks = vector of time breakpoints.

Value

A data.frame in long format that can be used by ggplot.

See Also

SEERaBomb-package, mk2D, tsd

Examples

# NOT RUN {
library(SEERaBomb)
load("~/data/SEER/mrgd/cancDef.RData") #load in canc
load("~/data/SEER/mrgd/popsae.RData") # load in popsae
canc=canc%>%select(-reg,-recno,-agerec,-numprims,-COD,
          -age19,-age86,-radiatn,-ICD9,-db,-histo3) 
popsa=popsae%>%group_by(db,race,sex,age,year)%>%summarize(py=sum(py)) # sum on regs
pm=seerSet(canc,popsa,Sex="male",ageStart=0,ageEnd=100) #pooled (races) male seerSet
pm=mk2D(pm,secondS=c("AML","MDS"))
brks=c(0,1,5)
firstS=c("NHL","MM")
pm=tsd(pm,brks=brks,trts=c("rad","noRad"),firstS=firstS)
mkDF(pm)
# }