Hi,
I've built a function to generate plots and would like to be able pass in
column names as a parameter. Here's a boiled down version of what I have right
now:
pmts <- data.frame(date=c(1,2,3), all=c(5,6,7),maj=c(4,5,6),ind=c(3,4,5))
perc.mktshare <- function(df){
range1 <- floor(min(with(df, 100*ind/all)))
range2 <- ceiling(max(with(df, 100*ind/all)))
with(df,plot(date,100*ind/all,ylim=c(range1,range2),ylab="% Marketshare"))
}
perc.mktshare(pmts)
What I'd like to do is something like this:
perc.mktshare <- function(df, scaling.column){
range1 <- floor(min(with(df, 100*scaling.column/all)))
range2 <- ceiling(max(with(df, 100*scaling.column/all)))
with(df,plot(date,100*"scaling.column"/all,ylim=c(range1,range2),ylab="%
Marketshare"))
}
perc.mktshare(pmts,"ind")
perc.mktshare(pmts,"maj")
I've tried going about this a couple of different ways but I can't make it
work. My suspicion is that there's probably no way to do this using the 'with'
statement and I'll have to trim the input dataframe to the pertinent columns
first using subset or something.
Thanks for your help!
David
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