similar to: Read.table for macs

Hi all, I'm trying to call a function in a Python module (v2.2) from within R (Windows, v1.5.0) but am not having any luck. I've installed RSPython_0.4-0.zip and the following lines of code cause R to crash: # R code library(RSPython) out <- .Python("samp1", .module="Sample") # Python file: Sample.py def samp1() : return 1 Obviously this is not the actual Python

Iam a novice R-user and I have a few questions: 1) How can R import an Excell data file? 2) I have a file.s file which it seems I can open but I can not load it i.e. when I write the file name in the command line, for e.g. >file.s it gives me an error message thank you for your consideration, Theo Nicoleris

Hi R-users, I have a list mylist <- list(c(0.79, 0.92, 0.91, 0.86, 0.96, 0.96, 0.95, 0.94, 0.99), c(0.28, 0.45, 0.59, 0.69, 0.80, 0.87, 0.95, 0.94, 0.98), c(0.29, 0.39, 0.59, 0.69, 0.68, 0.80, 0.93, 0.95, 0.98)) Is there a way to find the index of the list element that contains the lowest value among all the other elements? As the lowest value in each element is the first, the

HLM question? Is there a minmum number of observations required for a category..I have individusals in work teams.I have incomplete data for all the teams ..sometimes I only have data for one person in a team.I assume that HLM can't work here! But what would be the mimimal.at the moment I have a sample of about 240 in about 100 teams with teamsizes form 2 to 5. Any advice? Thanks

Maybe a useful addition to the predict functions would be to return the values of the predictor variables. It just (unless there are problems) requires an extra line. I have inserted an example below. "predict.glm" <- function (object, newdata = NULL, type = c("link", "response", "terms"), se.fit = FALSE,

Hello R-users, I have a very large vector (a) containing elements consisting of numbers and letters, this is the i.e. a [1] "1.11.2a" "1.11.2d" "1.11.2e" "1.11.2f" "1.11.2x1" "1.11.2x1b" [7] "1.11.2x2" "1.11.2x2a" "1.11.2x2b" "1.11.2x3" "1.11.2x4"

Hi all, I just downloaded windows binaries of RGDAL (from http://www.stats.ox.ac.uk/pub/RWin/bin/windows/contrib/2.1/) and installed. I ran the example R_HOME\library\rgdal\R-ex\getPixmapGDAL.R and everything seemed to work as expected. However I got the following warning message: DLL attempted to change FPU control word from 8001f to 9001f The R-help (?dyn.load) describes the problem as:

Hi All, I have a greyscale image that I am reading in through RGDAL and placing in a pixmap object. As an example use the logo.jpg file that comes with the RGDAL package: #Read the file logo <- system.file("pictures/logo.jpg", package="rgdal")[1] x <- new("GDALReadOnlyDataset", logo) #Create the pixmap object xGrey <- getPixmapGDAL(x) Now I would

Colleagues, I am using R 2.4.0 on both a Mac (10.4.8) and Linux (RedHat 9). To read data from an Excel spreadsheet, I do "save as" in Excel, then select the "Text (tab-delimited)" format. The resulting file uses a tab separator and I can usually read the file using read.delim. Sometimes, the header row contains embedded carriage returns. When I view the file,

I have a data frame with two columns, one of which is a factor (Species) and the other is numeric (BA, which stands for basal area). Here's a sample: Species BA ACSA 55.7632696 FRAM 122.9933524 ACSA 67.54424205 ACSA 89.22123136 ACSA 82.46680716 ACSA 22.46238747 ACSA 19.94911335 ACSA 20.42035225 ACSA 19.00663555 ACSA 21.67698931 ACSA 57.80530483 ACSA 30.31636911 Dead 43.98229715 Dead

Dear R users, I'm having trouble using aggregate() and would greatly appreciate your advice. I am using R 1.5.1 on Windows 2000. I want to call my function in the following way extract.data(x=dat[, "Age", "Year"]) where extract.data() uses aggregate() to count the number of cases for each combination of "Age" and "Year". I've defined

Hi R-users, I have a function (myfun) that I want to apply to the rows of a matrix. Basically, "myfun" takes the values from the matrix ("exp.des"), which represent the different combinations of my experimental design, and pass them as arguments to some other functions (fun1 and fun2). As I want to replicate the results of fun1 and fun2 a certain number of time (e.g. 5), I

Dear list, I have a data frame of survey respondents, a little like this: set.seed(20081215) n <- 100 dat <- data.frame(id=1:100, addr1=sample(LETTERS, n, replace=TRUE), addr2=sample(LETTERS, n, replace=TRUE), addr3=sample(LETTERS, n, replace=TRUE)) head(dat) id addr1 addr2 addr3 1 1 R H Q 2 2 H C K 3 3

How do I get non-squared correlation coefficient in some more sensible way than sqrt(summary(lm(y~x))$r.squared)? Thanks Matej -- Matej Cepl, matej at ceplovi.cz, Finger: 89EF 4BC6 288A BF43 1BAB 25C3 E09F EF25 D964 84AC 138 Highland Ave. #10, Somerville, Ma 02143, (617) 623-1488 The difference between death and taxes is death doesn't get worse every time Congress meets -- Will

Hello, I have created a Fitness surface (persp()), with data that was created by a tp spline procedure. Now I would like to superimpose a set (XYZ) of existing points (from two different treatments) onto this surface. I didn't come across any function or command that is able to do this in R. Could somebody please help me in finding a solution to this problem Thank you Peter --

Dear users, is anybody of you aware of a R command to perform laplace transform or even its inversion? Thank you very much. Luca

Readers of this list might be interested in the following article in the New York Times and might find amusing the notion that "Some people familiar with R describe it as a supercharged version of Microsoft's Excel spreadsheet software...". http://www.nytimes.com/2009/01/07/technology/business-computing/07progra m.html?_r=1&ref=technology Art

My computer is a pentium 4 running at 2.4 GHz. My R is 1.7.1 I have written a program in R that calls C++. The program spends most of the time in C++ ( > 90% ). R basically deals with output and input. How slower can this be compared with the program I would get from rewriting everything in C++? Thank you.

Hi, I am running a loop to plot multiple plots. In s-plus, it shows multiple pages in the graphic window to allow checking on each plot. but in R, the next plot always overwrite the previous one, so i can only have the last plot produced, is there a way to have multiple pages in the graphic window just like S-plus does? Thanks

Hi, I know that this question has been asked several times before but I haven't been able to find an answer. I'm running R on a P3 933 with 384 MB of RAM. The system is running Windows XP Home. I'm trying to read a 1054 row by 30303 column matrix from a tab delimited text file ("file.txt") into R using the following command: m <- matrix(scan(file