[R] Multiple ecdf plots?

[David Winsemius]

On Jun 17, 2010, at 4:46 PM, weller wrote:

>
> I have a csv file that has approximately 50k rows.  In the first  
> value of
> each row, a file name is listed, and there are 162 different file  
> names.  At
> the end of each row, there is a number value.  What I would like to  
> be able
> to do is for the 162 different files (or we could call them  
> categories), is
> compute the ecdf for the values within that category.  Then plot the  
> ecdf
> for each file on the same graph.  Essentially, it would look  
> something like
> http://www-stat.stanford.edu/~jtaylo/courses/stats202/R/chap3_data_exploration/iris_ecdf.png 
> ,
> but instead of the 3 lines, it would show 162.  They don't have to be
> different colors, and the number of records in each file category  
> changes.
> I was considering using a  matrix and adding to it via a loop, but  
> couldn't
> quite get it to work. This is what I have right now.
>
> thwop <- read.csv("real_unmod_estimated_pI.csv", header=TRUE)
> filelist <- levels(thwop$Source)
> rig=matrix(nrows=162)
>
> for (i in filelist)
> {
>   thug <- subset(thwop,  == i)
>   rig[i,length(ecdf(thug$Estimated.pI))]=ecdf(thug$Source)
> }
> rig

Perhaps:

plot(x=0, y=min(thwop$estimated.pI), xlim=c(min(thwop$estimated.pI),  
max(thwop$estimated.pI) ), ylim=c(0.0, 1.0), xlab="", ylab="")

tapply(thwop$estimated.pI, thwop$Source, function(x) { par(new=TRUE) ;  
plot(ecdf(x), verticals=TRUE, xlim=c(min(thwop$estimated.pI), max(thwop 
$estimated.pI, xaxt=FALSE) )) })

(It is going to be a mess.)



>
> Any help would be appreciated
>
>
> -- 
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>
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David Winsemius, MD
West Hartford, CT