similar to: R recursion depth and stack size

Hi all, Is there a function to check if a particular value is contained in a vector? I've looked at grep in the hope that I could use a Perl-like syntax, but obviously it's different... I'd like to do something like: y <- c("a","b","c") if("a" in y) { # "a" is not in y } Also, is there a way to

Hi all, Given a number of points (x,y) in a plane, I'd like to plot a map of polygons, so that 1) each polygon contains exactly one point 2) the polygon defines the area for which this specific point is closer than any other point. It's a bit like a map of areas "influenced" by that point, and it's obviously a matter of intersecting the perpendicular bisectors

Hi all, I am trying to produce some panels with dots in an X/Y plane where the diameter of the dots indicates a Z value (like e.g. earthquake maps where dot sizes indicate magnitudes and X/Y the location). This works fine with xyplot, e.g.: xyplot(1:3~1:3,cex=1:3,pch=16) However, when I do this with a panel variable, e.g.: x<-rep(1:3,5) y <- rep(1:3,5) sz <- rep(1:5,each=3) grp

Hi all, I wonder how to correctly write the following expression (it's the axis label in a plot command): ylab=expression(y' == y - bar(y) ) Somehow the single quote in y' is causing the problems, I guess because it is interpreted as a quote... Does it have to be escaped? But how? Thanks for your help Pascal

Hi all, I tried to save a complete log of a R session we had in a seminar today... but I didn't succeed. 1) R | tee session.log This saves both input and output, but I do get the cursor key escape sequences from editing (cursor-up to get last command etc) instead of the actual command line executed. 2) savehistory Gets commands only, not the output 3) sink Gets output, without the

Dear all, I am not sure if this mail is for R-help or should be sent to R-devel instead, and therefore post to both. While using nlrob from package 'robustbase', I ran into the following problem: For psi-functions that can become zero (e.g. psi.bisquare), weights in the internal call to nls can become zero. Example: d <- data.frame(x=1:5,y=c(2,3,5,10,9)) d.nlrob <-

Hi all, I ran into a problem in some of my code that could be traced back to 'mean' sometimes returning NA and sometimes NaN, depending on the value of na.rm: > mean(c()) [1] NA > mean(c(NA),na.rm=T) [1] NaN However, I don't understand the reasoning behind this and would appreciate and explanation. I understand that the mean of an empty vector is not definied, but I

Hi all, I repeatedly encounter the following problem: After importing a data set into a data frame, I wish to set a column with numeric values to be a factor, but can't figure out how to do this. Also, I do not wish to write as.factor(x) all the time. I can create a new vector with x <- factor(x), but the new vector resides outside the attached data frame. Pascal > attach(ngrad)

Hi all, is there an easy way to build up a data frame by sequentially adding individual rows? The data frame consists of numeric and character columns. I thought of rbind, but I ended up with numeric values for the character columns. Pascal

Dear all, I hope this is the right mailing list for my question -- I felt that this was too technical for R-help. I am trying to compile R-2.4.0 on a HP-UX system: ./configure MAKE=gmake --prefix=$HOME --without-x --without-tcltk --disable-R-profiling --without-readline --disable-multibyte R is now configured for ia64-hp-hpux11.23 Source directory: . Installation directory:

Hi all, Thanks for the incredibly quick help with the "%in%"... There's a second question, though: I'd like to increment an element of a vector if a certain event occurs, e.g. count[event] <- count[event] + 1; # works, but... Is this efficient? I wonder whether R needs to subset the count vector on both sides of the assignment operator (i.e., twice), or

I am trying to plot a figure within a figure (an inset that shows a closeup of part of the data set). I have searched R-help and other sources but not found a solution. What I would like to do is (1) produce a plot (2) specify a window that will be used for the next plot (in inches or using the coordinate system of the plot produced in (1) (3) overlay a new plot in the window specified under (2)

Dear all, In lme, models in which a factor is fully "contained" in another lead to an error. This is not the case when using lm/aov. I understand that these factors are aliased, but believe that such models make sense when the factors are fitted sequentially. For example, I sometimes fit a factor first as linear term (continuous variable with discrete levels, e.g. 1,2,4,6), and

Hi all, Is there a way to modify the optional arguments (...) passed to a function, so that these can be passed in modified form to a subsequent function call? I checked "Programming with Data" but could not find a solution there. What I'd like is something along these lines: test <- function(x,y,...) { if(!hasArg(xlab)) { ___add xlab to ...___ } if(hasArg(xlab)) {

Hi all, I'd like to extract a value from an ANOVA table, but experience the following problem: ### This works: > s.pseudo <- summary(aov(m ~ block + mix*graz,data=split1)) > s.pseudo Df Sum Sq Mean Sq F value Pr(>F) block 2 1114.66 557.33 4.4296 0.04192 * mix 1 6.14 6.14 0.0488 0.82956 graz 2 1.45 0.72 0.0057 0.99427 mix:graz

Dear R-user, I already received quite a lot of replies to this mail and like to do a preliminary sum up. A few were sceptical about the use of such a beginner mailing list. The arguments were that people starting with R will only stay subscribed for a short time until they reached the R-help "level" and therefore only beginner will teach beginner how to use R. But as far

Hi, For a n-level factor, I'd like to specify the first contrast and have the remaining n-2 constructed automatically so that the set is orthogonal. I then test the contrasts with summary.lm(anova-object). In S-Plus, the following works: >y.anova <- aov( y ~ C(CO2,c(1,0,-1)) ) >summary.lm(y.anova) In R, it fails with the following error: >levels(CO2) [1]

Hi all, I'm not sure how to correctly analyse the following data with glm, and hope for some advice from this list, ideally showing how to specify the model in R and perform the tests, and also for suggestions of literature. The data structure is like this: - 20 plant populations were investigated (random factor pop), which belong to different habitat types (factor ht) - Within

Full_Name: Pascal Version: 1.9.0 OS: GNU/Linux Submission from: (NULL) (212.152.21.2) In order to compile under SuSE 9.1, I needed to change #define NeedFunctionPrototypes 0 to #define NeedFunctionPrototypes 1 in line 29 of src/modules/X11/dataentry.c; /* don't use X11 function prototypes (which tend to ...): */ #define NeedFunctionPrototypes 1 #include <X11/X.h> HTH Pascal

Hi all, I could not find a way to add the dashed horizontal separator line to the top panel of a coplot (the one indicating which panel belongs to which range of the given variable a in y~x | a). This line should separate the ranges plotted in a row of panels in the panel matrix below (hmmm, hope this is reasonably clear). I like it because it enhances readability. I'll try a sketch: >