similar to: false discovery rate !

Hello All I am having a bit of trouble formatting my HTML with the desired number of digits after the decimal place. Am I doing something wrong/misunderstanding or is it a bug? Looking at the example supplied with ?HTML.data.frame: HTML(iris[1:2,1:2],nsmall=c(3,1),file="") Gives html output that includes the lines: </tr> <tr><td

using an example from r online help > state <- c("tas", "sa", "qld", "nsw", "nsw", "nt", "wa", "wa", "qld", "vic", "nsw", "vic", "qld", "qld", "sa", "tas", "sa", "nt", "wa", "vic",

Hi R guru coders I wrote a bit of code to add a new column onto a "topTable" dataframe. That is a list of genes processed using the limma package. I used a for loop but I kept feeling there was a better way using a more vector oriented approach. I looked at several commands such as "apply", "by" etc but could not find a good way to do it. I have this feeling there

Hi Jenny If you want a general solution I understand. However I just downloaded the file fine (as far as I can tell) so you are welcome to have a copy. I can email it to you if you want. I do not think your test for NA is valid. i.e if(test != "NA"){ } I think you should use if(is.na(test)){ } Or something similar. J --- John Seers Institute of Food Research Norwich

Dear All, I am trying to install R 2.7 on my openSUSE 10.3. I have faithfully followed instruction at http://cran.r-project.org/bin/linux/suse/ReadMe.txt. I have downloaded all the RPMs but still R complains about: libtcl8.4.so is needed by R-base-2.7.1-6.1.i586 I searched for this library and found a one, tcl-8.4.15-22.i586.rpm at openSUSE distribution site and installed. But R still complains

Hi R, I wanted to know how do we access the elements of a list. In particular, v=list(c(1,2,3,4,5),c(1,2,33,4,5),c(1,2,333,4,5),c(1,2,3333,4,5)) I want to access all the thirds items of the elements of the list. i.e., I want to access the elements, 3,33,333,3333. This can be done through sapply as: sapply(v,function(x) x[3]) But I need to access this without using

Dear All, I have large matrix (46000 x 11250). I would like to do the linear regression for each row. I wrote a simple function that has lm() and used apply(mat,1,func). The issue is that it takes ages to load the file and also to finish the lm. I am using LINUX 64 bit with 32G mem. Is there an elegant and fast way of completing this task? Thanks in advance. Kind regards, Ezhil

Dear All, I am using the following commands to do the scatter plot of two vectors, say X and Y. plot(X,Y, col="blue") abline(a=1,b=1, col="red") abline(a=-1,b=1, col="green") I would like to split the scatter plot into 3 part with 3 different colors: (i) points lies between 2 lines, (ii) points above line 1, and (iii) points below line 2. I am struggling to do

Dear r-users, Suppose I have three datasets: Dataset-1: Date x y Jan-1,2005 120 230 Jan-2,2005 123 -125 Jan-3,2005 -110 300 Jan-4,2005 114 -21 Jan-7,2005 11 299 Mar-5,2005 200 311 Dataset-2: Date x y Jan-2,2005 123 -125 Jan-3,2005 -110 300 Jan-4,2005 114 -21

Dear All, How can I store hist() or any plot output graphics in PNG format? I tried with bitmap() but not getting the result. Appreciate your help on fixing this. Thanks in Advance. Regrads, Ezhil

Dear All, I have a correlation matrix of size 100 x 100 and would like to extract the diagonal matrix from it. I have used the for loop to store tha correlation values of the diagonal matrix. Is there a 'R way' of doing this? Thanks in advance. Kind regards, Ezhil

Hi All How can you associate names with a list when names have not been assigned? For example if you have a list like this: list2<-list(1,2,3) list2 [[1]] [1] 1 [[2]] [1] 2 [[3]] [1] 3 How do you make it look like this with names? : f1<-1 f2<-2 f3<-3 list1<-list(name1=f1, name2=f2, name3=f3) list1 $name1 [1] 1 $name2 [1] 2 $name3 [1] 3 Thanks for any help. I expect

Dear All, I have a matrix of size 10000 x 50. I would like to calculate all possible pair-wise correlation coefficient (5x10^7 combinations) using cor(). How can I efficiently calcualte and save the result in a matrix? Thanks in advance. Kind regards, Ezhil

Dear All, I have matrix (50000 X 60) of subjects and their responses to a set of questions. All responses are classified into categories (500). I would like to average all subject's responses for each category. I wrote a code using a for loop but is not working. Could please tell me what's wrong with the code? I guess, there is a elegant R way of doing the same thing. Thanks in advance.

Hello All I cannot close R easily: > > q() Error in .Last() : could not find function "finalizeSession" > This seems to have started after I used the R.utils package. If I load the R.utils package I can close R successfully. But I do not want to have to do this every time I run R. Is there any way I can switch off /reverse this behaviour? (I have had a look in the

Dear all, I am having a data for 2 different treatments with different time points. So, I used the following code to plot the boxplot and also to do anova. T11 <- c(280, 336, 249, 277, 429) T12 <- c(400, 397, 285, 407, 313) T13 <- c(725, 373, 364, 706, 249) T21 <- c(589, 257, 466, 248, 913) T22 <- c(519, 424, 512, 298, 907) T23 <- c(529, 479, 634, 354, 1015) obs <- c(T11,

Hi, I have a matrix HR(9x27). I would like to make a single vector with elements: t(HR[,1]) followed by t(HR[,2]) and then t(HR[,3] ... etc. Is there any neat way of converting this matrix into a vector rather doing something like c(t(HR[,1]), t(HR[,2]), t(HR[,3]) ..)? Thanks in Advance. Kind regards, Ezhil ____________________________________________________________________________________

Dear All, I have two matrices A (40 x 732) and B (40 x 1230) and would like to calculate correlation between them.  I can use: cor(A,B, method="pearson") to calculate correlation between all possible pairs. But the issue is that there is one-many specific mappings between A and B and I just need to calculate correlations for those pairs (not all). Some variables in A (proteins, say p1)

Dimitris Rizopoulos wrote: > look at ?rowMeans; you can also use "apply(mat, 1, mean)" but > rowMeans() is better. By my reading of the question, this is not what Ezhil wants. He said: ``I have a 992 x 74 matrix. I would like to form a new matrix by averaging each 4 rows from the original one.'' I.e. he wants (I think) the first row of the new matrix to be the

Hi, I would like to apply the following function for i between 1 and 12, and then construct a list of the return series. for (i in 1:12){ ewma[i] <- emaTA(calm[[i]]^2,0.03) standard[i]<- calm[[i]]/sqrt(ewma[i]) standard <- cbind(standard[i]) } But it does not work. Could anyone give me some advice how can I achieve this? Many thanks -- View this message in context: