similar to: Take care with codes()! (was type of representation)

Hi I have some data that i want to plot but i don't find how to do it. I have car types (bmw,renault,mercedes,seat ...), colors and a number for each car type-color relation.I want to come up with a matrix representation of cars vs colors where in each intersection i could set a dot proportional in size to my third variable. Can anybody give me a clue of hoe to come up with such

I've just uploaded gregmisc_0.8.2.tar.gz to CRAN. It should show up in the package repository in a day or two. This version of the gregmisc package provides an enhanced 'balloonplot' function with 'rowsrt', 'colsrt' arguments to control rotation of the labels, and 'rowmar', 'colmar' to control the amount of space reserved for the labels. Here's

You can use the graphics parameter "srt" to rotate displayed text by a specified number of degrees, e.g. srt=45 to put it on an angle, srt=90 to put it vertical. If you do this, may need to modify the call to text to increase ylim and change the plot location to give you more room. I'm working to update the 'balloonplot' function in the gregmisc package now to handle this

Normally `codes' is not the appropriate function to use with an unordered factor. Use `unclass' or `as.numeric' to extract the codes used in the internal representation of the factor, as these do not assume that the codes are sorted. and this is one of the `normally' cases. Your code will only work correctly if the levels are in alphabetical order (in the locale

Dear list, after fitting an lrm with the Design package (stored as "mymodel") I try running a summary, but I get the following error: dim(mydata) [1] 235 9 names(mydata) [1] "id" "VAR1" "VAR2" "VAR3" "VAR4" "VAR5" "VAR6" "VAR7" "VAR8" summary(mymodel) Error in `contrasts<-`(`*tmp*`,

Hi, I've written a script that checks all bivariate correlations for variables in a matrix. I'm now trying to run a logistic regression on each pair (x,y) where y is a factor with 2 levels. I don't know how (or whether I want) to try to fathom what's up with glm. What I wrote is attached. Here's what I get. *****************************************************

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

I'm trying to make a set of contour plots of bivariate kernel density estimates, showing three such plots overlaid, similar to this plot http://euclid.psych.yorku.ca/SCS/Private/Test/ridge-boot2.pdf except that I would like to have the contours *filled* (using transparent colors). To make this reproducible, I've saved the results of KernSmooth::bkde2D() in the following file:

Hi, I'd like to ask you a question again. It is basically about data frames, NAs and tabulate function. I have this data frame. I already used this in one of the previous questions of mine. It intentionally looks this simple, my real 'df' dataframe is much bigger actually and again, I am not willing to annoy anyone with huge databases... So, my database: id

Full_Name: Jens Lund Version: 1.3.1 OS: Windows Submission from: (NULL) (194.239.194.210) When we subset a dataset bartlett.test does not calculate the df correctly: X <- rnorm(50) # Generate simulated samples f <- gl(10,5) # Generate a factor with 10 levels and # 5 replications of each level # Works correctly bartlett.test(X,f) # Correct number of df = 9 #

I've written a piece of code (see below) to do a wavelet image decomposition, during the evaluation of this code I would like to write the results of some calculations back to the R root directory. I used assign() to do so because the names should vary when going thrue a while() loop. For some unknown reason I get an error that says: Error in assign(varname[i], imwrImage) :

Dear all, I have a problem that may be someone of you can help. I am a newbie and do not find how to do it in manuals. I have two arrays, for example: ar1 <- array(data=c(1:16),dim=c(4,4)) ar2 <- array(data=c(1:16),dim=c(4,4)) colnames(ar1)<-c("A","B","D","E") colnames(ar2)<-c("C","A","E","B") > ar1

Dear everyone, I am new in R and I've got difficulties in realizing the following tasks: -I have variables (factors) with different numbers of levels, either 1, 2 or 3. -I have a matrix containing these 204 factors and I have to correlate them by groups of 4 variables. -I have to delete the factors just having one level ( because when correlating one-level factors, the output is NA) here

Hi, I'd like to compare SST data for year 2000 with SST for year 2001. I managed to get filled contour plots showing monthly SST for both years (12 plots for each year, 24 plots in total). In order to compare year 2000 and year 2001, however, I'd need to have the same legend scale (same color bar) in both years plots. Thus, my question is: is there a way to set the legend scale in

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 ,

hi, I have my data time expressed in character string exple "5:20" (hour:min) and i want to convert these in times recognized by R. I have tried the POSIXct function: balise07$Hour <- as.POSXIct(balise07$Hour) but it didn't work. Do you know why? Do you know how i can convert my string character in a real time? Thanks Karine HEERAH Master 2 mention

Hello List! I asked this before (with no solution), but maybe this time... I'm trying to project a surface to the XY under a 3d cloud using lattice. I can project contour lines following the code for fig 13.7 in Deepayan Sarkar's "Lattice, Multivariate Data Visualization with R", but it fails when I try to "color them in" using panel.levelplot. ?utilities.3d says there

Hello, I came across a problem when building a randomForest model. Maybe someone can help me. I have a training- and a testdataset with a discrete response and ten predictors (numeric and factor variables). The two datasets are similar in terms of number of predictor, name of variables and datatype of variables (factor, numeric) except that only one predictor has got 20 levels in the training

Dear members of the list, it is likely a stupid question but I cannot find the information neither in R manuals nor in google. I am generating a plot (from hclust results) but I cannot see properly the labels because the default font size is too large. How can I change it? Thanks! Federico

Hello, It appears there is a limit in the number of criteria that can be put into the Aggregate sum function. (It looks like it is 32). My code is; HSfirst=aggregate(count,