similar to: Factor levels

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, 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 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 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 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 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

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()

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 :

Hello, We've released the int64 package to CRAN a few days ago. The package provides S4 classes "int64" and "uint64" that represent signed and unsigned 64 bit integer vectors. One further development of the package is to facilitate reading 64 bit integer data from csv, etc ... files. I have this function that wraps a call to read.csv to: - read the "int64"

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 have a data set that has 4 columns and 53860858 rows. I was able to read this into R with: cc <- rep("character",4) myData <- read.table("myData.csv",header=FALSE,skip=1,colClasses=cc,nrow=53860858,sep=",") I need to reshape this data from long to wide. On a small data set the following lines work. But on the real data set, it didn't finish even when I

Hi Renato, It's definitively not A15. Can this be the case that NEON units for cortex-A9 support it but isn't documented/recommended ? And as mentioned before code is working ! Seb > -----Original Message----- > From: rengolin at gmail.com [mailto:rengolin at gmail.com] On Behalf Of > Renato Golin > Sent: Friday, November 09, 2012 6:27 PM > To: Sebastien DELDON-GNB >

Hi Bastien, Weird gcc is generating fma for my platform STEricsson Novathor with Linaro, code works. It also works when I use LLVM to generate fma (using llc -mtriple=armv7-eabi). Maybe someone from ARM can answer the question ? Seb From: JF Bastien [mailto:jfb at google.com] Sent: Friday, November 09, 2012 5:36 PM To: Sebastien DELDON-GNB Cc: Anitha Boyapati; llvmdev at cs.uiuc.edu Subject:

Hi, Is there any official way to determine the colClasses of a data.frame? Why has POSIXct such a strange class structure? Why is colClasses "ordered" not allowed (and doesn't work)? Background ========== I am writing a chunked csv reader that provides the functionality of read.table for large files (in the next version of package ff). In chunked reading, one wants to learn the

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

Jeff, Thank you for your reply. The intent was to construct a minimum reproducible example. The same warning occurs when the 'file' argument points to a file on disk with a million lines. But you are correct, my example was slightly malformed and in fact gives an error under R version 3.2.2. Please allow me to try again; in older versions of R, ?? > read.table(file =

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 ,

cat /proc/cpuinfo ? Are you sure it's generating VFMA and not VMLA? On Fri, Nov 9, 2012 at 9:35 AM, Sebastien DELDON-GNB < sebastien.deldon at st.com> wrote: > Hi Renato, > > It's definitively not A15. Can this be the case that NEON units for > cortex-A9 support it but isn't documented/recommended ? > And as mentioned before code is working ! > > Seb >

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