similar to: par(mfrow=c(2,4))

Hi all, I would like to check if a string contains "." in it. If yes, I would like to know the position of "." in the string. Eg: X<-"NM1236.3" In above example, "." is at position 7. I tried functions grep() and match(). It seems they couldn't detect ".". Thanks in advance for your help, Sityee [[alternative HTML version deleted]]

Dear all, I have problem when reading a table into R. The total row of read in table has is much less than the original saved table. I built a 1,273,230 by 6 data set named "mydata2", it was saved in the following command, write.table(mydata2, "mydata2.txt", row.name=F,col.name=T,quote=F,sep="\t") The next day I read in above saved text file into R,

Hi All, The for-loop below stopped when error("Cannot get confidence intervals on var-cov components: Non-positive definite approximate variance-covariance") occurred. I assigned a row of NA values to the data frame "m1" manually and reset "j" in the for-loop every time error returned. I’m wondering if there is a function that can detect error or failure, so the

Dear all, I have problem when reading a table into R. The total row of read in table has is much less than the original saved table. I built a 1,273,230 by 6 data set named "mydata2", it was saved in the following command, write.table(mydata2, "mydata2.txt", row.name=F,col.name=T,quote=F,sep="\t") The next day I read in above saved text file into R,

Hi all, Could someone tell me how to split a word. c("AA") to c("A","A") Thanks! Phoebe [[alternative HTML version deleted]]

Hi all, I'm hoping to add texts into a plot. I'm using text() to do it. I wonder if the text() allow me to make the text vertically printed? Thanks in advance for help, phoebe [[alternative HTML version deleted]]

Hi All, I have problem about the factor features. I read in a .cvs file, a column which is supposed to be numeric, but it becomes factor level data after reading in. mydata[,"newXaxis"] [1] 0 0.430010601 11.23198508 25.00940297 37.75338045 45.98289639 [7] 48.92328133 52.51142822 61.12359751 63.85832121 70.98927949 77.16550181 [13] 97.73545713 113.6588007 118.6588007

Hi all, Is there a function that allow me to concatenate each value in a vector to a string? x<-c("a","b","c","d") output string = a+b+c+d Thanks, phoebe [[alternative HTML version deleted]]

Hi All, I have a dataset with a column named "Condition", Sample Condition 1 c20 2 c20 3 c10 4 c10 5 c9 6 c9 7 c5 8 c5 9 c20 10 c10 Could you let me know the fastest way to change c20->"AA", c20->"BB", c9->"CC", c5->"DD"

Hi all, I'm wondering if there is a function that can return summary statistics: N=total number of observation, # missing, mean, median, range, standard deviation. As I know, summary() returns some of info I've mentioned above. Thanks, SY [[alternative HTML version deleted]]

Hi there, I would like to draw a scatter plot and fit a smooth line by loess. Below is the data. However, the curve line started from 0, which my "resid" list doesn't consist of 0 value. It returned some warnings which I don't know if this is the reason affecting such problem. Here I also attached the warning messages. Please let me know if there is a solution to fix this. Thank

Hello everybody. I am trying to cluster circular data (data points which are angles), thus i can not use the "dist" function in "mclust" to generate my distance matrix, I am using the function " Dij = 0.5*( 1 - cos(theta_i - theta_j)). The thing is "hclust" will not accept this distance matrix, i tried to put it in a data frame, but again i get an error message

Hello List, I have some plots with the wireframe() function, and I'd like to display them in a single jpeg file. I know that par(mfrow=c(x,y)) will divide my display window in x rows and y columns, and although this works with plot(), it looks like it's not working with wireframe. here's my code: library(lattice) library(Cairo) CairoJPEG("wiley-rank.jpeg", width=960,

An embedded and charset-unspecified text was scrubbed... Name: not available URL: <https://stat.ethz.ch/pipermail/r-help/attachments/20091124/10d1a443/attachment-0001.pl>

Hi, Is there any package that deals with triangular matrices? Say ways of inputting an upper (lower) triangular matrix? Or convert a vector of length 6 to an upper (lower) triangular matrix (by row/column)? Thanks! ----- ###################### PhD candidate in Statistics Big R Fan Big LEGO Fan Big sTaTs Fan ###################### -- View this message in context:

Hello, I am trying to get fitted/estimated values using kernel regression and a triangular kernel. I have found packages that easily fit values from a kernel regression (e.g. ksmooth) but do not have a triangular distribution option, and density estimators that have triangular distribution options that I can't seem to use to produce estimated values (e.g. density). Any help is appreciated.

Can we add a note to the documentation that setting par(fig) resets par(mfrow) and par(mfcol) to c(1,1)? Or are mfrow and mfcol now deprecated in favor of all the split screen stuff? (I was spending the morning trying to write some code that plotted multiple subplots within whatever plot region was active at the moment; I was able to set and reset fig successfully, but got very confused as to

help(par) says: 'mfcol, mfrow' ... In a layout with exactly two rows and columns the base value of '"cex"' is reduced by a factor of 0.83: if there are three or more of either rows or columns, the reduction factor is 0.66. In reality, par(mfrow =) *resets* par ('cex'), not reduces it as documented. To reproduce: par(cex = 0.5) par(mfrow = c(2,

Given a vector;> ab = seq(0.5,1, by=0.1)> ab[1] 0.5 0.6 0.7 0.8 0.9 1.0 The euclidean distance between the vector elements is given by the lower triangular matrix > dd1 = dist(ab,"euclidean")> dd1    1   2   3   4   52 0.1                3 0.2 0.1            4 0.3 0.2 0.1        5 0.4 0.3 0.2 0.1    6 0.5 0.4 0.3 0.2 0.1 Convert the lower triangular matrix to a full

Hello, I want to create a triangular matrix and only keep the lower triangle entries without having to allocate memory for the whole matrix, is there any way I can do something like  A<-matrix(data, nrow=50)  but for a triangular matrix? Thanks ERV [[alternative HTML version deleted]]