similar to: organising the display in Trellis plots

Dear all, I have a problem installing a package required by Hmisc on MacOS 10.3.5 with R 2.00. g77 -fno-common -g -O2 -c avas.f -o avas.o g77 -fno-common -g -O2 -c rlsmo.f -o rlsmo.o gcc -bundle -flat_namespace -undefined suppress -L/usr/local/lib -o acepack.so ace.o avas.o rlsmo.o -L/usr/local/lib -L/usr/local/lib/gcc/powerpc-apple-darwin6.8/3.4.2

Dear list, I would like to plot the empirical cumulative distribution of the time needed by a treatment to attain a certain goal. A number of experiments is run with a strict time limit. In some experiments the goal is attained before the time limit, in other experiments time expires before the goal is attained. The situation is very similar to survivial analysis with censored data. I tryed

Dear all, I am conducting a full factorial analysis. I have one factor consisting in algorithms, which I consider my treatments, and another factor made of the problems I want to solve. For each problem I obtain a response variable which is stochastic. I replicate the measure of this response value 10 times. When I apply ANOVA the assumptions do not hold, hence I must rely on non parametric

Dear all, I am trying to produce survfit plots in a trellis environment and I would like the plots to be logarithmic. I am trying this: print(Ecdf(~time | size*type, groups=alg,data=B,subscripts=TRUE, panel=function(x,groups,subscripts) { t <- survfit(Surv(time[subscripts],event[subscripts])~groups[subscripts],data=B)

I would like to specify that certain columns in a data frame should be treated as ordered factors. I know what numbers these columns are, but not their names. How do I do this? For example, if I know columns 1:4 are to be treated as factors, I can write dat <- matrix(c(2,1,1,1, 1,1,1,1), 2, 4) D <- as.data.frame(dat) # force all variables to be treated as binary # regardless of the small

When I create a dotplot in lattice, I frequently observe overplotting of the labels along the vertical axis. On my screen, this illustrates overplotting of the letters: windows() reps=6 dat=data.frame(let=rep(letters,each=reps), grp=rep(1:reps, 26), y=runif(26*reps)) dotplot(let~y|grp, dat) Is there a way to automatically scale the labels so that they are not over-plotted? I currently do

There seems to be a bug in "dotplot" concerning the "cex" parameter. Setting cex has no effect on the character size of the labels of the points. This problem was posted to r-help today (Thu, 18 Jan 2001); the solution given by Brian Ripley (and Uwe Ligges) seems to work for me. Heinrich Rinner. > version _ platform i386-pc-mingw32 arch x86

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*`,

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

Ahh yes, sorry about that. Here's the corrected snippet: # Create an Example Data Frame Containing Car x Color data carnames <- c("bmw","renault","mercedes","seat") carcolors <- c("red","white","silver","green") datavals <- round(rnorm(16, mean=10, sd=4),1) data <- data.frame(Car=rep(carnames,4),

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

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. *****************************************************

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

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, Below is my attempt at a function to fit Alternate Least Squares Optimal Scaling models, as described in Young (1981) "Quantitative Analysis of Qualitative Data" and Jacoby (1999) "Levels of Measurement and Political Research: An Optimistic View". I would welcome any comments on coding style, tips & tricks etc. I also have a specific problem: the output tends

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:

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

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