similar to: Error in edit.data.frame

I can't run fix() or edit() anymore. Did I break my system? I'm running Debian Linux with R-2.14.1. As far as I can tell, the R packages came from Debian's testing "wheezy" repository. I would like to know if users on other types of systems see the same problem. If no, then, obviously, it is a Debian-only issue and I can approach it from that point of view. And if no other

(moved from R-help) I tried this on Ubuntu with R-2.14.1 built from source, and I do not get the segfault problem. (I don't at the moment have a debian binary R, or I would confirm whether I get the segfault problem.) My sessioninfo() is reporting additional information about namespace imports: > library(ggplot2) Loading required package: reshape Loading required package: plyr

Here I think S3 dispatch is very natural. Try the following: page <- function(x, method = c("dput", "print"), ...) UseMethod("page") page.getAnywhere <- function(x, ..., idx=NULL) { name <- x$name; objects <- x$obj; if (length(objects) == 0) stop("no object named '", name, "' was found"); if (is.null(idx)) {

Hi, I work with hyperspectral remote sensing data and I try to built a pls model with this data. I already built the model but if I try to calculate the RMSEP and R2 with a test data set I get the following error message: Error: variable 'subX' was fitted with type "nmatrix.501" but type "nmatrix.73" was supplied The problem is that I don't get the message for

Hi all, As I am new to using R on a Linux machine I have another question if that's ok. I am trying to use the fix() or edit() function on this Linux machine but I get the following error message: Error in dataentry(datalist, modes) : invalid device In addition: Warning message: In edit.data.frame(get(subx,envir=parent),title = subx, ...) : Unable to create fontset

Hello, I would like to read sets of files within a folder, perhaps using recursive methods. Right now, I rename the files before import. It would be even better to do this without renaming files, without providing explicit filenames, perhaps by importing files based on chronology, and translating each filename into a header? Please excuse my ignorance, and help cure my clunky programming

Hi, forget about the below details. It is not related to the fact that the function is returned from a function. Sorry about that. I've been troubleshooting soo much I've been shoting over the target. Here is a much smaller reproducible example: x <- 1:10 y <- 1:10 + rnorm(length(x)) sp <- smooth.spline(x=x, y=y) ypred <- predict(sp$fit, x) # [1] 2.325181 2.756166 ...

Hello, I used read.xlsx to read in Excel files but for large files it turned out to be not very efficient. For that reason I use a programme which writes each sheet in an Excel file into tab-delim txt files. After that I tried using read.table and read.delim to read in those txt files. Unfortunately, the results are not as expected. To show you what I mean I created a tiny Excel sheet with some

Dear Rs: Hi, I am trying to read a big text file (nrows=243440, ncols=144). It seems the computational time of all the read methods (scan,readtable,read.delim) is not linear to the number of rows I want to read in: things became really slow once I tried to read in 100000 lines compare to 10000 lines). If I am reading the profiling result right, I guess scan wouldn't help either. My

Hi, It would be great if someone would add write.delim() as an adjunct to write.table(), just as with write.csv(). I store a lot of data in tab-delimited files and can read it in easily with: read.delim("text.txt", as.is=TRUE) and would love to be able to write it out as easily when I create these files. The obvious setting needed for write.delim() is sep = "\t", but in

I have a very large tab-delimited file, too big to store in memory via readLines() or read.delim(). Turns out I only need a few hundred of those lines to be read in. If it were not so large, I could read the entire file in and "grep" the lines I need. For such a large file; many calls to read.delim() with incrementing "skip" and "nrows" parameters, followed by grep()

Dear ExpeRts,t I am trying to read tab delimted data produced by somewhat brain dead software that seems to think it's a good idea to have an extra tab character after the last column - except for the header line. As explained in the help page, read.delim now assumes that the first column contains the row.names (which is not even wrong) but now and all col.names get shiftet by one column.

hi: I have matrix with dimensions(200 X 20,000). I have another file, a tab-delim file where first column variables are row names and second column variables are column names. For instance: > tmat Apple Orange Mango Grape Star A 0 0 0 0 0 O 0 0 0 0 0 M 0 0 0 0 0 G 0 0 0 0 0 S 0 0 0 0 0

Hi jpm miao, You can get CSV files that can be imported into Excel like this: library(prettyR) sink("excel_table1.csv") delim.table(table(df[,c("y","z")])) sink() sink("excel_table2.csv") delim.table(as.data.frame(table(df[,c("y","z")])),label="") sink() sink("excel_table3.csv")

I have upgraded to trustix 2.1 (kernel 2.4.25-2trfirewall), there is a problem with shorewall (both 1.4.10d and 2.0) and iptables 1.2.9-2tr when I start shorewall I have the following errror: iptables v.1.2.9: Unknown arg ''--icmp-type'' Try ''iptables -h'' or ''iptables --help'' for more information with trustix 2.0 (kernel 2.4.25-2trfirewall)

It might be a bit faster to do matrix indexing: R> tbm <- as.matrix(tb) # turn it into a character matrix R> tmat[cbind(match(tbm[,2], rownames(tmat)), match(tbm[,1], colnames(tmat)))] <- 1 > tmat Apple Orange Mango Grape Star A 1 1 1 0 0 O 1 1 0 0 0 M 0 0 1 0 0 G 0 0 0 0 0 S 1 1 1 0

Hi All, I am using convert() function in RTAQ package to convert the text file into xts object.The code I am using is shown below: convert(from="2010-07-01",to="2010-07-01",datasource="C:\\TAQdata",datadestination="C:\\datadestination",trades=T,quotes=F,ticker="SUBX",dir=F) The problem is that I am not getting the text files named Ticker.trades

I have written a function which reads data from files using read.delim (). The names of these files are complicated and are built using arguments to the wrapper function. Since the files in question may or may not exist, I thought to enclose the read.delim() call in a try(): file <- <complicated expression> temp <- try(read.delim(file)) if(inherits(temp,"try-error")) {

Hello! I have this problem: I want to create a Venn's diagram with three lists of genes'names. The first is all the genome, the second a subset of it comprising all mitochondrial genes, and the third including all genes that correlate with a given gene. This is what I do: > library(gplots) > A<-read.delim("F:/.../mito genes just names.txt") >

Is there a better way to do the following? I have data in a number of tab delimited files. I am using read.delim() to read them, in a loop. I am invoking my code on Linux Fedora 20, from the BASH command line, using Rscript. The code I'm using looks like: arguments <- commandArgs(trailingOnly=TRUE); # initialize the capped_data data.frame capped_data <- data.frame(lpar="NULL",