similar to: apply

hi, I have a matrix (representing original data) that looks e.g. like this (consider it beeing x,y,z coords): 441 447 0 265 407 0 374 223 0 288 574 0 669 309 0 591 195 0 595 475 0 424 351 0 I get a second matrix (subject data) that is similiar to the above matrix but it is scaled, translated and rotated (and of course a little inprecise). Also I have an

hi, i am working on a little R-project with a couple od other guys.we use CVS, but everyone keeps the R-source files in different locations in his home-directory. of course this causes trouble when sourcing R-files. i thought a UNIX environment variable could be the solution, but R doesn't seem to know about the environment variables. e.g. >> source("$PROJECT/xxx.R")

hi, knowing there are a lot of statistics guru's in the R-mailing list, i throw in a statistics question. i have data that i do not know how to statistically test: subjects are repeatedly asked to make a decision (e.g. left-right -> coded as 0 or 1). i have 20 subjects, each subject made 8 decisions. i now want to analyse whether my experimental manipulation induced a systematic bias

hi, when performing a wilcox.test or a wilcox.exact i get results that looks like this: wilcox.exact(x, mu=.5) Exact Wilcoxon signed rank test data: x V = 207, p-value = 0.0006905 alternative hypothesis: true mu is not equal to 0.5 the way i understand the wilcox.test (or wilcox.exact) the V-value represents the summed up ranks of either the positive or negative differences,

hi, I am looking for a possibility to open several graphics in independent windows (is that the graphics device ?). up to now, i was only able to generate a graphic, then save it (e.g. as eps) and then generate a new plot that always overwrites the old graphic. I am aware of the fact that I can generate multiple plots in a single graphics window, but this is not what i am looking for ..

hi, is there a way to source all R-files that reside in a given directory with a single R-call ? greetinx jan -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To:

how can i sort a matrix by sorting the first colloum in ascending order and have the values of the other colloums in the relative position to the sorted values. thanks for help -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or

hi, i just recognized that the t() function converts a data frames into a matrix (R 1.5). is that a bug or a feature ? greetinx jan -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the

hi, i want to plot percentage values using barplot. everything works fine so far. giving a chance level of 50% i want to plot only the area above 50 percent. i can of course cut using ylim=c(50,100) but this does not work properly since i also see some of the area below 50%. thanks for suggestions, jan -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help

Hi, I am looking for ways to donwsample one-dimensional vectors. For example, x=sample(1:5, 115, replace=TRUE) How do I downsample this vector to 100 entries? Are there any R functions or packages that provide such functionality. I did find the zoo package and the aggregate() function, but these appear to be rather specific for time-series. Thanks in advance, Jan

hi, during a for(i in 1:xx]) loop I always newly calculate a vector (e.g. tmp<-c(a,b,c,d,e) ) now i need that vector to be attached at the bootom of a matrix (or data.frame). e.g. m<-matrix() for(i in 1:5]){ #some calculations for a,b,c,d,e a<- ... b<- ... c<- .. .... tmp<-c(a,b,c,d,e) ??? now I need to attach this tmp to the matrix m ??? } i couldn't get rbind

hello, sorry for posting what may be a simple question: i do have a matrix of coordinates (positional judgments, see below) and now want to calculate and plot the corresponding error ellipse. can anyone help me with the exact steps/syntax? > xyDat X Y 1 -0.49 -2.13 2 0.91 0.48 3 0.20 -2.80 4 -0.76 -3.23 5 -0.36 2.50 6 1.38 1.24 7

Hallo, I was trying some code, but couldn't make one step of the code properly. Can anybody please help me? I have one matrix like this > values [,1] [,2] [,3] [,4] [,5] [1,] 0.7777778 0.36111111 0.22222222 0.1388889 0.0000000 [2,] 1.0000000 0.00000000 0.53846154 0.0000000 0.5384615 [3,] 0.5200000 0.48000000 0.64000000 0.0000000 0.8800000 [4,] 0.8928571

Hi guys, I use "veto files = /.mp3/.mpg/" etc. on the [homes] share to prevent users from storing media files on a Samba server in the home directories. My client now wishes to make this restriction apply to users who are members of only certain groups. E.g. This restriction must apply to users who are members of the "Students" group and not apply to users in the

-- Dr. Jan Malte Wiener Max-Planck-Institute for Biological Cybernetics Spemannstr. 38, 72076 Tuebingen, Germany tel.: +49 7071 601 631 email: jan.wiener at tuebingen.mpg.de url: www.kyb.tuebingen.mpg.de/~malte -------------- next part -------------- An embedded message was scrubbed... From: Jan Wiener <jan.wiener at tuebingen.mpg.de> Subject: Re: [R] reading "special" text files

hi, i am looking for a way to correct for ties in the wilcoxon signed rank test -> e.g. wilcox.test(x,mu=.5) one way i have heard of is to look up the p value in a table that has been produced by Buck (1975). obviously i need to know the T-value to do that -> how do i get the T-value from the wilcox.test() function. is there any other (already implemented) way to correct for ties in

hi, another anova question !! how does aov() treat missing values ? since it might depend on my experimental design: i have a within subject design with two factors ... i use aov() like this: aov(performance~type*block+Error(subj/(type+block)),data=anovaData) now it might happen that i have a couple of NaN data points in my result dataFrame. how can i know/control how aov() is treating those

hi, i am using the barplot function, but i have problems with the plot region when adjusting the bar width manually. if you only want to plot 2 bars the default barwidth is to wide (aesthetically speaking). by adjusting width and xlim one can actually produce narrow bars, but then the plotted graph is not in the center of the plot region, which means that for example the title of the plot

Hi all, I would like to know if it is posible by, someway, to get colMeans from a data.frame with numeric as well as character data, dispersed all over the object. Note that I would like to get colMeans neglecting character data. I am really in need of some function proceeding in that way… All the best Diogo André Alagador [[alternative HTML version deleted]]

Hi, I keep getting the error message. Please help. Error in colMeans(x, na.rm = TRUE) : 'x' must be an array of at least two dimensions The codes are: data2_1 <- matrix(c(0.9584190, 0.2710325, -0.9495618, -0.1301772, -0.7539687, 0.5344464, -0.8205933, 0.1581723, -0.5351588, 0.04448065, 0.9936430, 0.2278786, -0.8160700, -0.3314779, -0.4047975, 0.1168152, -0.7458182, - 0.2231588,