similar to: R graphics

bonjour, i'm a mathematic teacher and i have a question for R-developers : is it possible to have (in the future) a boxplot with whiskers from the first decile to the ninth decile, as usual in secondary french schools... by example : boxplot(serie,range=-1) for french boxplot ? cordialement, jean-pierre lyc?e jean zay orl?ans, france http://mathazay.free.fr/spip/

I've always been frustrated that R never puts a label on the column name for a column of row names. This is usually the "key" in a database table, and it sure would be nice to carry a "key" name along with the data instead of the field being blank. So, why is it a good idea for it to be blank? ?write.csv says this: CSV files By default there is no column

I need to process some datasets where the configuration information was stored in .INI-like files, i.e., text files with sections like this: [Section1] var1=value1 var2=value2 [Section2] A=value3 B=value4 ... >From Google and other searches I haven't found any package, or function within a package, that reads .INI files into an R list, or other data structure. Any suggestions, or

The first column in my Excel sheet has mostly numbers but I need to treat it as character data: > library(RODBC) > channel <- odbcConnectExcel("U:/efg/lab/R/Plasmid/construct list.xls") > plasmid <- sqlFetch(channel,"Sheet1", as.is=TRUE) > odbcClose(channel) > names(plasmid) [1] "Plasmid Number" "Plasmid"

Hi, I plotted 12 graphs on a page and output to a png file. I wanted to have an overall title for all 12 graphs. What command can I use to do this? Below is the code that plotted the 12 graphs in one page. # FM10 by Month/ Export the plot to Wash2005FM10.png png(file="Wash2005FM10.png",bg="white") par(mfrow = c(3,4)) # Plot 12 Month of OFM10, FFM10 for(i in

Hi all. I'd like know what is the format file saved by Leica Microsystems TCS SP2-AOBS equipped with a SP2-FCS2 Leica Microsystems workstation its datas. Cause it save in *.fcs extention file but ins't flow cytometry standart format file... Tahnks Horacio.

Hi all, excuse me by this elementary question. I wish to know if a package in language R exists to analyze FCS (Fluorescence Correlation Spectroscopy) datas. And, if it possible, in addition can read the archives in raw format generated by the ConfoCor2 program. Thanks Horacio. **************************************************************************** Dr. Horacio Castellini

In 2004 there was this R-Help posting from Jan 2004: http://finzi.psych.upenn.edu/R/Rhelp02a/archive/33097.html R equivalent of Splus peaks() function? The peaks function there has worked well for me on a couple of projects, but some code using "peaks" failed today, which had worked fine in the past. I was looking for a peak in a test case that was a sine curve over one

Does R have a dir.choose function? I can use file.choose like this as a kludge to get something like a dir.choose, but a real dir.choose would be better: cat("Select one of files in directory to process:\n") filename <- gsub("\\\\", "/", file.choose()) basepath <- dirname(filename) Windows provides a lower-level SHBrowseForFolder function to create such

The Partek package (www.partek.com) allows only two selections for Multiple Test Correction: Bonferroni and Dunn-Sidak. Can anyone suggest why Partek implemented Dunn-Sidak and not the other methods that R has? Is there any particular advantage to the Dunn-Sidak method? R knows about these methods (in R 2.1.1): > p.adjust.methods [1] "holm" "hochberg" "hommel"

# This works fine: > a <- 1 > b <- 2 > c <- 3 > E <- expression(a * exp(b*X) + c) > X <- c(0.5, 1.0, 2.0) > eval(E) [1] 5.718282 10.389056 57.598150 > D(E, "b") a * (exp(b * X) * X) > eval(D(E, "b")) [1] 1.359141 7.389056 109.196300 # But if (a,b,c) are replaced with (A[1], A[2], A[3]), how can I get a derivative

Hi, Does anyone know the name of the package that includes a function for computing the lomb periodogram on irregular spaced ts data? I saw the package once ~ 1 month ago but cannot find it now ... , Rich

Dear time-series specialist: I've got some time series representing measurements from a physical process, like atomic decay data. These time series look almost random, but should hopefully be distinguishable as they were taken under different conditions. I am looking for statistical approaches that are sensitive enough to discriminate between such series of measurements. Preferably, there

Hi list, I will help an person that will use some graphics of R in internet. But this pearson want to specify the colours. This person want me to create an pallete of colours like that: Name of color - Code - Colour White - 0xFFFFFF - color white (like an box with this color) I know that is possible with R, but i don't know how. Thanks for the advance. Atenciosamente, Leandro Lins

I'm working on some heatmaps, and the person I'm working with would prefer a red-black-green color palette (red denoting gene induction and green denoting gene repression). Does such a palette exist already? If not, is there an easy way to create one? Thanks, Jake

  I have timeseries data for some factors, and some missing values are there in those factors, I want impute those missing values without disturbing the distribution of that factor, and maintaining the correlation with other factors. Pl. suggest me some imputation methods. I tried some functions in R like aregImpute, transcan. After the imputation I am unable to retrive the data with imputed

Dear all, May I suggest to add an example in the help page of the colors() function ? The following code could be useful to easily choose any color from colors() : ## Millot G. (2011), p.71. ## Figure displaying all the 657 built-in color names of colors(). palette(colors()) tempo<-NULL for(i in 14:1){tempo<-c(tempo, rep(i,50))} windows(width=10) # replace by quartz(width=10) for MacOS and

Hi, I have a problem of estimating a mixture of two normal distributions. I need to find the starting points automatically, since this is a part of a larger piece of image processing code. I found the mix2normal1 function in VGAM package that mentions a method of finding starting values for mu1 and mu2 but refers the reader to a book by Everitt and Hand. Unfortunately, I do not have an easy

I want to get some "simple" logic regression examples to work before exploring a hard problem. I can get results, but I'm having some problems using "cat" to save the logic regression equation to a disk file. Consider this: # Simple Logic Regression Example # efg, 23 Feb 2005 library(LogicReg) # Create simulated data with known logic equation: # "noise"

R version 2.5.1 (2007-06-27) I' running some simple R jobs via the Sun Grid Engine on our Linux cluster in preparation for some bigger ones. I checked R's capabilities on the cluster nodes (after failing to create a png file) and am getting the following warning message: [Run on a cluster node using qrsh:] > capabilities() jpeg png tcltk X11 http/ftp sockets