Re: [R] Problems with aggregate() function in stats package

2011-09-15 Thread Marc Schwartz
On Sep 15, 2011, at 4:07 PM, Jon Zadra wrote: > Hi, > > I'm having some problems with the aggregate() function in the {stats} > package, and the documentation doesn't address them. > > 1) Why would the first line work, but the second not? According to the help > file, it accepts a "data=" argu

[R] Problems with aggregate() function in stats package

2011-09-15 Thread Jon Zadra
Hi, I'm having some problems with the aggregate() function in the {stats} package, and the documentation doesn't address them. 1) Why would the first line work, but the second not? According to the help file, it accepts a "data=" argument. with(tsrc, aggregate(x=DistRatio, by=list(Conditi

Re: [R] Problems with aggregate

2008-02-22 Thread Mcmahon, Kevin
artin Elff > Sent: Friday, February 22, 2008 3:52 AM > To: r-help@r-project.org > Subject: Re: [R] Problems with aggregate > > I guess it will save you some trouble to give the > results of 'aggregate' some other name than > 'min' or 'max', as in

Re: [R] Problems with aggregate

2008-02-22 Thread Henrique Dallazuanna
You can use match.fun x V1 V2 1 2 3.2 2 15 1.2 3 2 8.4 4 8 9.2 5 7 0.4 min <- aggregate(x, list(x[,1]), min) min <- aggregate(x, list(x[,1]), match.fun(min)) On 21/02/2008, Mcmahon, Kevin <[EMAIL PROTECTED]> wrote: > Hello list, > > > > I'm new to this list, so please forgive my ignoran

Re: [R] Problems with aggregate

2008-02-22 Thread Martin Elff
I guess it will save you some trouble to give the results of 'aggregate' some other name than 'min' or 'max', as in min.humanneph <- aggregate(as.numeric(humanneph[,2]), list(as.numeric(humanneph[,1])), min) max.humanneph <- aggregate(as.numeric(humanneph[,2]), list(as.numeric(hum

[R] Problems with aggregate

2008-02-21 Thread Mcmahon, Kevin
Hello list, I'm new to this list, so please forgive my ignorance. I have searched R-help for some hints into what might be my problem, but I truly have no idea where to go from here. I have an object of approximately 15,000 rows and 2 columns. There are many duplicates in the first column