search for: leyn

Does anyone know if Is there a way to manually install RSPython? I get this error when I try to run the script from my DOS prompt. V:\>R CMD INSTALL -c C:/Users/gene.leynes/Downloads/RSPython_0.7-1.tar.gz * installing to library 'C:/Users/gene.leynes/Documents/R/win-library/2.13' * installing *source* package 'RSPython' ... ********************************************** WARNING: this package has a configure script It probably needs ma...

...t. The first item seems like a possible R bug, but I'm not ruling out "user error". See "?user.error" for a sample error message I finally got the package installed, but wanted to report this if it really is a bug. The lines below come from a DOS prompt: c:\Users\gene.leynes\Downloads>dir /B gdata_2.8.1.zip rj_0.5.2-1.tar.gz c:\Users\gene.leynes\Downloads>R --vanilla R version 2.13.0 (2011-04-13) Copyright (C) 2011 The R Foundation for Statistical Computing ISBN 3-900051-07-0 Platform: i386-pc-mingw32/i386 (32-bit) R is free software and comes with ABSOLUTELY...

...GES=C LC_PAPER=C LC_NAME=C [9] LC_ADDRESS=C LC_TELEPHONE=C LC_MEASUREMENT=C LC_IDENTIFICATION=C attached base packages: [1] stats graphics grDevices utils datasets methods base loaded via a namespace (and not attached): [1] tools_2.14.1 > Thank you, Gene Leynes _____________________________________________ *Data Scientist* *http://www.linkedin.com/in/geneleynes * <http://goog_598053156>*http://geneorama.com/ <http://geneorama.com/%20>* [[alternative HTML version deleted]]

...gsub("^[[:space:]]+|[[:space:]]+$", "", x) } tempobj = ' many spaces ' tempvec = c(tempobj, tempobj) templist = list(tempvec, tempvec) tempdf = data.frame(x = tempvec, y = tempvec) trim(tempobj) trim(tempvec) trim(templist) trim(tempdf) Thank you, Gene Leynes _____________________________________________ *Data Scientist* *Mobile: 312-498-7702 **http://www.linkedin.com/in/geneleynes * <http://goog_598053156>*http://geneorama.com/ <http://geneorama.com/%20>* [[alternative HTML version deleted]]

Why doesn't this work? x = zoo(1:5, as.Date('2001-01-01')+1:5) x[as.Date('2001-01-05')] x[as.Date('2001-01-05')] = 0 x I think this is especially bad because it doesn't cause an error. It lets you do something to x, but then you can't see x again to see what it did. [[alternative HTML version deleted]]

** Disclaimer: I'm looking for general suggestions ** I'm sorry, but can't send out the file I'm using, so there is no reproducible example. I'm using read.table and it's taking over 30 seconds to read a tiny file. The strange thing is that it takes roughly the same amount of time if the file is 100 times larger. After re-reviewing the data Import / Export manual I think

I've been wondering what L means in the R computing context, and was wondering if someone could point me to a reference where I could read about it, or tell me what it's called so that I can search for it myself. (L by itself is a little too general for a search term). I encounter it in strange places, most recently in the "save" documentation. save(..., list = character(0L),

...than once, and "matching multiple arguments". ## The col value has the length of number of zoo ## objects rather than the number of points in each ## column.... } mycol = round((y - min(y)) / (max(y) - min(y)) * 50) + 1 plot(zobj, panel=mypanel_v2, MY_COLOR = mycol) Thank you, Gene Leynes _____________________________________________ *Data Scientist* *http://www.linkedin.com/in/geneleynes * <http://goog_598053156>*http://geneorama.com/ <http://geneorama.com/%20>* [[alternative HTML version deleted]]

I thought the "apply" functions are faster than for loops, but my most recent test shows that apply actually takes a significantly longer than a for loop. Am I missing something? It doesn't matter much if I do column wise calculations rather than row wise ## Example of how apply is SLOWER than for loop: #rm(list=ls()) ## DEFINE VARIABLES mu=0.05 ; sigma=0.20 ; dt=.25 ; T=50 ;

I don't understand how this function can subset by i when i is missing.... ## My function: myfun = function(vec, i){ ret = vec[i] ret } ## My data: i = 10 vec = 1:100 ## Expected input and behavior: myfun(vec, i) ## Missing an argument, but error is not caught! ## How is subsetting even possible here??? myfun(vec) Is there a way to check for missing function arguments, *and*

I think that the "quietly" argument in "require" isn't working > require('JumboShrimp', quietly=TRUE) Warning in library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE, : there is no package called 'JumboShrimp' > By the way, the behavior is the same with options(warn=0) or options(warn=1) I'm using R 2.12

# Just when I thought I had the basic stuff mastered.... # This has been quite perplexing, thanks for any help ## Here's the example: db1=data.frame( olditems=c('soup','','','','nuts'), prices=c(4.45, 3.25, 4.42, 2.25, 3.98)) db2=data.frame( newitems=c('stew','crackers','tofu','goatsmilk','peanuts'))

Does anyone know how to pass a list of parameters into a function? for example: somefun=function(x1,x2,x3,x4,x5,x6,x7,x8,x9){ ans=x1+x2+x3+x4+x5+x6+x7+x8+x9 return(ans) } somefun(1,2,3,4,5,6,7,8,9) # I would like this to work: temp=c(x3=3,x4=4,x5=5,x6=6,x7=7,x8=8,x9=9) somefun(x1=1,x2=2,temp) # OR I would like this to work: temp=list(x3=3,x4=4,x5=5,x6=6,x7=7,x8=8,x9=9)

On the Mac it's pretty easy to get to a USB drive by name. For example the following command works if you have a USB drive named "MYUSB" setwd('/Volumes/MYUSB') Is there a way to do the same thing in Windows (without knowing the drive letter)? Thanks! [[alternative HTML version deleted]]

*What I want to do: *Create a windows shortcut that will start the R gui **and** simultaneously source a file *What I have already tried: *This almost works, but it's not the interactive R GUI: R --no-save --sdi -file="C:\SomePath\example.R" These open the R GUI, but doesn't recognize -f --f --file -file RGUI --no-save --sdi -file="C:\SomePath\example.R"

I've been trying to figure out how to read in a large file for a few days now, and after extensive research I'm still not sure what to do. I have a large comma delimited text file that contains 59 fields in each record. There is also a header every 121 records This function works well for smallish records getcsv=function(fname){ ff=file(description = fname) x <- readLines(ff)

I have tried a lot of ways around this, but I can't find a way to make apply work in a generalized way because it causes a failure whenever reduces the dimensions of its output. The following example is easier to understand than the question. I wish it had a "drop=TRUE/FALSE" option like the "[" (and I wish I had found the drop option a year ago, and I wish that I had 1e6

Can someone please tell me what is up with na.action in aggregate? My (somewhat) reproducible example: (I say somewhat because some lines wouldn't run in a separate session, more below) set.seed(100) dat=data.frame( x1=sample(c(NA,'m','f'), 100, replace=TRUE), x2=sample(c(NA, 1:10), 100, replace=TRUE), x3=sample(c(NA,letters[1:5]), 100, replace=TRUE),

This must be explained somewhere, but I've been searching for a couple of hours and not found it. What happened to ggplot? It appears to be missing on CRAN, except in the archives. http://cran.r-project.org/web/packages/ggplot/index.html Has ggplot2 replaced ggplot? I was trying to run some examples and found that "pscontinuous" and "ggline" are not part of ggplot2.

Does anyone know how to dock graphics windows in Eclipse when using the StatET plug-in for R? Right now every time I make a graph it pops up as a separate window, which takes up too much real estate. By the way, if you have not tried the StatET thing, you should. It's really nice, and I'm sure I'm not even using all the bells and whistles. The "automatic variable