similar to: 'Split' character

Dear R-users, The following code splits a very simple dataframe into a list, each element of the list being one line of the dataframe. You will see that the split function names each element of the list by using uses the content of a and b and merging them with a "." character. Is there a way to customize this character? a<-1:10 b<-21:30 mydata<-data.frame(a,b)

Dear R users, I have to import some csv files in which column headers contain the character "~". Following the following import call, the character seems to be replaced by dots in the column names of my data frame. Plus, I cannot query names(mydata) to find the column index which header should contain "~" or "." > mydata <-

Dear R users, I am currently trying to create my first personnal function and use it with the apply function. The purpose of this function is to create a vector summarizing the number of levels in a given selection of data.frame columns. I tried to transpose the indexation method used by the nlevels function but it doesn't seem to work. I did not find anything uesful in the archives so

Dear R-users, The strsplit function does not exist in S-plus and I would like to use it. How could I reproduce the function in Splus or access to its source code? Thank you in advance, Sebastien

Dear R Users, I am quite surprised to see that mtext gives different results when it is used with 'pairs' and with "plot'. In the two following codes, it seems that the 'at' argument in mtext doesn't consider the same unit system. I would appreciate your comments on this issue. Sebastien ##### Pairs mydata<-data.frame(x=1:10,y=1:10) par(cex.main=1,

Dear R-users, I have found this not-so-recent post in the archives - http://tolstoy.newcastle.edu.au/R/devel/00a/0291.html - while I was looking for a particular way to reorder factor levels. The question addressed by the author was to know if the read.table function could be modified to order the levels of newly created factors "according to the order that they appear in the data

Dear R Users, I recently posted an email on this list about the use of data.frame and overlaying multiple plots. Deepayan kindly indicated to me the panel.superposition command which worked perfectly in the context of the example I gave. I'd like to go a little bit further on this topic using a more complex dataset structure (actually the one I want to work on). >mydata Plot

Hello I apologize in advance if this question has already be posted on the list, although I could not find a relevant thread in the archives. I would like to overlay xyplots using different datasets for each plot. I typically work on the following data.frame (mydata) structure >mydata Drug Time Observed Predicted 1 A 0.05 10

Dear R-users, I have written the following code to generate some trellis plots. It works perfectly fine except that it is quite slow when it is apply to my typical datasets (over several thousands of lines). I believe the problem comes from the loops I am using to subset my data.frame. I read in the archives that the tapply function is often more efficient than a loop in R. Unfortunately ,

Dear R-users, My script imports a dataset from a csv file, in which missing values are represented by ".". This importation is done into a dataframe using the read.table function with na.strings = "." Then I want to replace the NAs in the first column of the dataframe by "Missing data". I am using the following code to do so :

Hi, I have a dataframe column from which I want to calculate the number of 1's in each entry. Some column values could, for example, be "0001001000" and "11110000111". To get the number of occurrences from a string I use this: sum(unlist(strsplit(mydata[,"my_column"], "")) == "1") However, as my data is not in string form.. How do I convert

Dear R-users, I am trying to produce trellis (png, or jpeg) graphs with transparent background, but I cannot manage to make that happen. I tried to play around with themes but to no avail. Any advise on the following example will be greatly appreciated: Thank you Sebastien #### library(lattice) df <- data.frame(a=rep(1:4,4), b=rep(1:4,4), c=rep(1:4,each=4)) settings <- standard.theme()

Hi all! I would like to import a matlab or gauss code to R. Could you help me? Bye, Sebasti?n. 2007/6/23, r-help-request en stat.math.ethz.ch <r-help-request en stat.math.ethz.ch>: > Send R-help mailing list submissions to > r-help en stat.math.ethz.ch > > To subscribe or unsubscribe via the World Wide Web, visit >

Dear R-users, I would like to know if there is a function (in base R or the extension packages) that would automatically detect the break points in a vector x for later use in the cut function. The idea is to determine the boundaries of the n intervals (n>=1) delimiting clusters of data points which could be considered "reasonably" close, given a numerical vector x with unknown

I'm using read.delim to successfully read in tab delimited data, but some columns' values are comma seperated, reflecting the fact that user chose a few answers on a multi-select question. I understand that each answer is its own category and so could be represented as a seperate column in the data set, but I'd like the option of reading in the data column, and converting it to a

Dear R-users, I have found on the list several posts addressing the issue of getting data for a list of defined files. However, I found nothing about scanning a given folder and retrieving the list of, let's say, .txt files (I probably used the wrong keywords). Could someone tell me which posts or function help I should look at? Thanks in advance Sebastien

Dear R-users, In the R internals manual, it is said that one can extract the elements of the dot-dot-dot argument using the special symbols ..1 or ..2. It seems to work just fine but I was wondering if there is a way one can extract or modify the content of the dot-dot-dot argument using a level name instead of its position? For instance, assuming that list(...) returns: $a [1] 1 2 3 4 5

Dear R-users, I was wondering if there was a way to adjust the placement of the axis titles for the last page of a multi-page lattice plot (see example below). Depending on the total number of panels, the placement of these titles might look strange on the last page, if the layout is not adjusted (e.g. in some template code). Any thought on this issue would be welcome. Sebastien

I am new to R. I try to search the web but could not find the answer so I post it here asking for help. I have a csv file looks like this: (between two ==== lines) =========================== Machine Name,"Resource, Type","Resource, Sub-type","Resource, Instance",Date,,Data ->,,,,,, ,0.041666667,,,,,,,,,,, Time (HH:MM)

Dear Mao Jianfeng, "r-help-owner" is not the place for help, but: r-help at r-project.org (CC-ed here) In any case, strsplit() does the job, i.e.: > unlist(strsplit("BCPy01-01", "-")) [1] "BCPy01" "01" You can work with the whole variable, like: splitpop <- strsplit(df1$popcode, "-") then access the first part with >