similar to: Plot coordinates with gradien colour according to a different column

Hello, I've on my home PC CentOS 6 and Fedora 13 on different disks. When I log on the gnome enviroment at Fedora knows exactly which programm was started at which desktop (for example: thunderbird on desktop 1, firefox on desktop 2, nautilus on desktop 3, ..). The same procedure on Centos takes all programs on the first desktop, so I must arrange the programs on the right desktop.

Hello, is there a way to pass a connection to a file in a zipped archive as argument (instead of a file name of unzipped file) to shell command "cut". In general, is it possible to pipe output of a R function to a shell command? How? I want to do something like: z = unz("zipArchive.zip", "fileASCII.ASC") # open connection open(z) # cut lines of the ASCII file in

I am trying to learn how to use the graphics from the lattice package ( and am very new to R). I am trying to replicate the example plot referenced below, by using the lattice xyplot & lpolygon to create panels. I get what appears to be the correct shape of the filled region, but cannot get the position to overlay properly. I have attempted with various settings of position. ( i.e.

Could someone help me understand this Basically I want to know the position of certain numbers in large output data sets. First consider the following simple example where we get the postions of ones (1) in the vector q. > q <- c(5,1,1,3,1,1,1,1) > q [1] 5 1 1 3 1 1 1 1 > for (i in 1:length(q)) if(q[i]==1) print(i) [1] 2 [1] 3 [1] 5 [1] 6 [1] 7 [1] 8 Well done! But now consider

Hello, Sometimes I have to create and use Navision Databases on samba shares - this works with samba 2.0.x but does not with samba 2.2.x (tried 2.2.3a and 2.2.4). The following tests were done with a acl enabeled samba and an acl aware kernel/filesystem, but I also have done these tests with acl not compiled into samba on an host without acl in the kernel - same result, does not work, same

Hello All, I have a list of dataframes, and I need to subset it by keeping only those dataframes in the list that meet a certain criterion. Specifically, I need to generate a second list which only includes those dataframes whose number of rows is > 1. Could someone suggest how to do this? I have come close to what I need with loops and such, but there must be a less clumsy way... Many

Hi I am using R version 2.7.2. on a windows XP OS and have a question concerning an analysis of covariance with count data I am trying to do, I will give details of a scaled down version of the analysis (as I have more covariates and need to take account of over-dispersion etc etc) but as I am sure it is only a simple problem but I just can't see how to fix it. I have a data set with count

I am sorry to bug you, I am having this error whenever I want to run random effects regression in software R: Error in if (sigma2$id < 0) stop(paste("the estimated variance of the", : missing value where TRUE/FALSE needed. Please help me look into it. [[alternative HTML version deleted]]

Hello All, I have a data.frame with this structure: m <- matrix(sample(c(rep('yes', 10, replace = TRUE), rep('no', 10, replace = TRUE), NA), 500, replace = TRUE), nrow = 100, ncol = 5) colnames(m) <- colnames(m, do.NULL = FALSE, prefix = "col") m <- as.data.frame(m) I need to generate a Venn diagram from this data.frame, displaying the various intersections of

Hola a todos Me gustaría saber si me pueden ayudar con lo siguiente. Realicé un Boxplot usando ggplot2 para visualizar el comportamiento de dos variables. Visualmente no se notan las diferencias porque la gráfica de la derecha (parásitos en el abdomen) llega hasta 20 en el eje y. ¿Cómo puedo hacer para que las dos gráficas muestren la misma escala en el eje Y, es decir, que las dos lleguen a 60?

Dear List, I have a large (1600*1600) matrix generated with symnum, that I am using to eyeball the structure of a dataset. I have abbreviated the column names with the abbr.colnames option. One way to get an even more compact view of the matrix would be to display the column names rotated by 90 degrees. Any pointers on how to do this would be most useful. Any other tips for displaying the

https://bugzilla.netfilter.org/cgi-bin/bugzilla/show_bug.cgi?id=51 laforge@netfilter.org changed: What |Removed |Added ---------------------------------------------------------------------------- Status|NEW |RESOLVED Resolution| |WORKSFORME ------- Additional Comments From

Lara: I see you sent this email to the R helpdesk a really long time ago, but I was just wondering if you ever got an answer to this question. I was just thinking that I would build my own cross validation function, but if you figured out a way to do this automatically, could you let me know? Thanks, Eric Weine.

Dear All, Could someone please suggest how to find the Kronecker sum of two 2x2 matrices, i.e. given two matrices: -A A a -a and -B B b -b I need: -A-B A B 0 a -a-B 0 B b 0 -A-b A 0 b a -a-b Many thanks, Lara [[alternative HTML version deleted]]

Dear List, I am using function recode, from package car, within sapply, as follows: L3 <- LETTERS[1:3] (d <- data.frame(cbind(x = 1, y = 1:10), fac1 = sample(L3, 10, replace=TRUE), fac2 = sample(L3, 10, replace=TRUE), fac3 = sample(L3, 10, replace=TRUE))) str(d) d[, c("fac1", "fac2")] <- sapply(d[, c("fac1", "fac2")], recode, "c('A',

Hi I am trying to explore the use of random forests for regression to identify the important environmental/microclimate variables involved in predicting the abundance of a species in different habitats, there are approx 40 variable and between 200 and 500 data points depending on the dataset. I have successfully used the randomForest package to conduct the analysis and looked at the %IncMSE

I updated R to the last 2.4.1 version and unfortunately I can not load languageR any longer. In R-2.4.1, LanguageR requires acepack, but Hmisc doesn't work when acepack is loaded. > library(languageR) Loading required package: Design Loading required package: Hmisc Loading required package: acepack Error in dyn.load(x, as.logical(local), as.logical(now)) : unable to load

Hi all I have been trying to use the randomForest package to model insect species abundance in different habitats and identify the key variables (landscape/climate etc) in determining abundance, which has all worked fine and I get nice variable importance plots etc. Many thanks to everyone on this help forum who has given tips/advice along the way. But the percentage variance explained /pseudo r

Hi all, I have an object that looks (roughly) like the following: l <- list(a = matrix(rnorm(9), 3), b = matrix(rnorm(9), 3), c = matrix(rnorm(9), 3)) l$a[3,] <- sample(c("Message 1", "Message 2", "Message 3")) l$b[3,] <- sample(c("Message 1", "Message 2", "Message 3")) l$c[3,] <- sample(c("Message 1",

Hi, I am using the plot function to make a simple plot of my data with one variable against another and want to colour the data points according to a third variable. The third variable is continuous (Time) and I want to try two different ways of colouring the data points, either: Divide time it into three groups and then colour each data point accordingly eg. 30-60 minutes in green,