similar to: read.table: fill=T for header?

Dear ExpeRts, I am trying to plot a bunch of growth curves and would like to get some more control over groups and line colors than I seem to have. Example: # make some data dat <- Orange dat$group <- ifelse(dat$Tree%in%c('1','4','5'), 'A', 'B') # plot xyplot(circumference~age, dat, groups=group) # now use lines to make the growth curve more

Hi! In a current project, I am fitting loess models to subsets of data in order to use the loess predicitons for normalization (similar to what is done in many microarray analyses). While working on this I ran into a problem when I tried to predict from the loess models and the data contained NAs or NaNs. I tracked down the problem to the fact that predict.loess will not return a value at all

Hello, There: I read data from tab-delimted text file(1888.txt) in C:/temp, which has thousands rows and 80 colulms, using read.delim("C:/temp/1888.txt"). when I retrieved the numeric coulum which has real zero values and applies R buid-in function such as mean( ), sum() and got a result of NA. It seems that R (R 1.6.2 in windows) considers zero as missing value (NA). Thus my

Full_Name: Hannu Kahra Version: 1.0.0 OS: Windows Submission from: (NULL) (153.1.50.127) x1 <- lag(x, k=1) returns the original series x. The time series is not shiftet at all. Only the time is shiftet: for x1 new start = old start -1 and new end = old end -1. When I run, e.g. lm(x~x1) the result is not what I expect. Both x and x1 are time series. Is this a bug or am I forgetting something?

All, I have a data file with 56 entries that looks like this: City State JanTemp Lat Long Mobile, AL 44 31.2 88.5 Montgomery, AL 38 32.9 86.8 Phoenix, AZ 35 33.6 112.5 Little Rock, AR 31 35.4 92.8 Los Angeles, CA 47 34.3 118.7 San Francisco, CA 42 38.4 123.0 I would like to "read" this data into a dataframe. Is it possible to do without editing the datafile? D.

Dear R user, I am running R under Windows 2000. I am looking for a routine for importing - shape files (ESRI) into R - dbase files (FOXPRO) into R and I am looking for time-space models for description and prediction of Bernoulli-, Binomial- and Poissonvaraibles. Thank's a lot for a reply. Sincerely yours, Ekkehardt Altpeter Swiss Federal Office of Public

I am trying to write a C function that reads lines from a file and passes them back to R. Here is a simplified version: --- C code --- #include <R.h> void read_file(char **filename, char **buf, char **buflen) { FILE *infile; infile = fopen(*filename, "r"); fgets(*buf, *buflen, infile); fclose(infile); } --- R code --- buffer = "xxxxxxxxxx" #

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

I thought I would post this in case it might be of any use to anyone. Not anything special but it does work. Keep in mind you need sox and wmix. Here is some relevant exerpts of my extensions.conf using John Todds macro. [globals] CALLFILENAME=foo FOO=foo CALLERIDNUM=foo [default] exten => 287,1,Macro(dial,SIP/agent20002|20) exten => 287,2,Voicemail(u287) exten =>

objcopy needs "output-target" and "binary-architecture" parameters which makes it necessary to keep a list of known architectures. The bin2s.pl script generates input for the GNU assembler which should produce an object file that is equivalent to that produced by objcopy. I have successfully tested the change on an amd64 Debian/unstable system. --- helper/Makefile.am |

Hi all, I have got a seemingly simple problem (I am an R starter) with subsetting my data set, but cannot figure out the solution: I want to subset a data set from six to two levels, so that all analyses are done only with these two remaining levels. I tried TOTAL<-read.delim('total.csv',header=T) SUBSET.OF.TOTAL<-subset(TOTAL, FactorX %in% c("Level1","Level2"))

Hello All, I have a toy dataframe like this. It has 8 columns separated by tab. Name SampleID Al1 Al2 X Y R Th rs191191 A1 A B 0.999 0.09 0.78 0.090 abc928291 A1 B J 0.3838 0.3839 0.028 0.888 abcnab A1 H K 0.3939 0.939 0.3939 0.77 rx82922 B1 J K 0.3838 0.393

I have the following script (also attached): #!/usr/bin/Rscript spec=matrix(c( 'verbose', 'v', 1, "integer", 'help' , 'h', 0, "logical" ),ncol=4, byrow=TRUE) spec.dim=dim(spec) spec.opt.long=spec[,1] spec.opt.short=spec[,2] spec.opt.l <- spec.dim[1] infile <- "test.dat" args=commandArgs(TRUE); l=length(args) self =

Dear R experts, Suppose I have a data frame of three variables: > foo <- data.frame(row=1:5, col=1:3, val=rnorm(15)) > foo row col val 1 1 1 -1.00631642 2 2 2 0.77715344 3 3 3 0.17358793 4 4 1 -1.67226988 5 5 2 1.08218836 6 1 3 1.32961329 7 2 1 -0.51186267 8 3 2 -1.20990127 9 4 3 -0.57786899 10 5 1 0.67102887 11 1 2

Here it is: read.inputs<-function(infile) { for (counter in 1:length(input.list)) { seek(infile,where=0,origin='start') newline<-readLines(infile,n=1) while(length(newline)>0) { if(!is.na(grep(as.character(input.list[[counter]][1]),newline)[1])) { break } newline<-readLines(infile,n=1) } if (length(newline)>0)

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

Hi all, Please a moment to look my source code, this is very similar to example of the documentation. I added FIXED_POINT flag. My source code compile and build but not decode correctly (the error may be in the while). I work with eVC 4.0 and pocket pc 2003. Someone know what is the error? Thanks. Rodrigo. #include "speex.h" #define FRAME_SIZE 160 void CPlayerDlg::OnButton3() {

Hello All, I use Cygwin ( unix on windows) heavily for all my text data processing. Also use Cygwin inbuilt *R* to do numerical processing. *My aim is to integrate R and unix commands to avoid heavy memory usage that R takes normally.* I can run many unix commands using system("some unix command or sh script.sh or even R file itself ") inside R. But, When I tried to run the command

Hi, i think i found a suspect in lzo/prepcore.c and it would indeed be a wrong range of checksumming (speculative congratulations to Ady). Looking at http://repo.or.cz/syslinux.git/blob/0d82b71304d596d80f3c4520f9dcf90048ca50b7:/lzo/prepcore.c it seems that this change in line 374 could yield correct checksums: unsigned int ptr; - for (ptr = 64; ptr < offset; ptr += 4) +

Hello Speex, I think I've noticed a bug in version 1.1.6. In the source file "speexdec.c", lines 558 to 560 say wav_format = strlen(outFile)>=4 && ( strcmp(outFile+strlen(outFile)-4,".wav")==0 || strcmp(inFile+strlen(inFile)-4,".WAV")==0); . I think each