similar to: Exclude rows in xyplot

Hello everybody, I'm using the lattice package and the xyplot to make several graphs like below. However, I can just print the three grouped plots onto one page as I'm putting them into a pdf-file, which gives me a huge amount of pages... Is it possible to put them all, or at least more than one on the same page, for instance put three groups beside each other like columns? ...

Hi all, I'm making a PCA plot with eight variables (columns taken from a larger data frame "fieldTrial0809[idx,c(39:46)]"). I then want the symbols in the plot to be colored as a gradient from red to blue, depending on the value of another column in "fieldTrial0809[idx, c(48)]" containg temperatures from -12.1 to -5.4. I don't want to use the heat.colors(n)

Hi all, I'm new to PCA in R, so this might be a basical thing, but I cannot find anything on the net about it. I need to make a PCA plot with two response variables (df$resp1 and df$resp2) against eight metabolites (df$met1, df$met2, ...) and I don't have a clue how to do... and I've only used the simplest PCAs before, like this: pcaObj=prcomp(t(df[idx, c(40:47)]))

Hi all, I'm have a matrix (X) with observations as rows and parameters as columns. I'm trying to exchange all missing values in a column by the column mean using the code below, but so far, nothing happens with the NAs... Can anyone see where the problem is? N<-nrow(X) # Calculate number of rows = 108 p<-ncol(X) # Calculate number of columns = 88 # Replace by columnwise

I have a raster (which I called glc), which I read into R as a raster with "raster.create.from.file" from the raster package (R-forge). Values in glc range between 1 and 27 (whole numbers only). I'd like to extract all cells with a value of 1 to create a new raster with only the cells that have a value of 1, or to extract the xy values of all raster cells with a value of 1. Could you

Hi, I've got a data frame (556 rows and 36 columns) from which I need to create several xy plots and print to pdf, in order to detect outliers and trends in the data. 16 of the columns contains numerical values, and I would like to create graphs for all combinations. It can be done manually, but creating 256 plots by hand takes time... I guess I have to iterate through the data frame, but

On Fri, Mar 25, 2016 at 02:22:11PM -0400, Jan Vesely wrote: > Hi Tom, Matt, > > I'm working on a project that needs few coherent atomic operations (HSA > mode: load, store, compare-and-swap) for std::atomic_uint in HCC. > > the attached patch implements atomic compare and swap for SI+ > (untested). I tried to stay within what was available, but there are > few issues

Hi Tom, Matt, I'm working on a project that needs few coherent atomic operations (HSA mode: load, store, compare-and-swap) for std::atomic_uint in HCC. the attached patch implements atomic compare and swap for SI+ (untested). I tried to stay within what was available, but there are few issues that I was unsure how to address: 1.) it currently uses v2i32 for both input and output. This

I have agreed to write a HOWTO for VNC using service vncserver. I was recruited by Akemi / toracat who suggested I refer to the following thread. http://www.centos.org/modules/newbb/viewtopic.php?topic_id=13455&viewmode=flat&order=ASC&start=20 Some of my previous work and colaborations as Gerald L. Clark and glc: http://www.nslu2-linux.org/wiki/HowTo/EnableRAIDSupport

Full_Name: Giles L Crane Version: 2.8.0 2008-10-20 OS: Windows XP Submission from: (NULL) (71.168.215.186) paste(rep(" ",10),sep="") [1] " " " " " " " " " " " " " " " " " " " " As I read the documentation for paste(), this should have produced " " that is,

Hi all, Probably a simple question, but I just can't find a simple answear in the older threads or anywhere else. I've added some new vectors as columns in a data frame using cbind(). As they're all put as the last columns inte the data frame, I would like to move them to specific positions. How do you do to change the position of a column in a data frame? I know I can use

Dear people, 1) I have a data frame with named columns.For concreteness, let us say that I created a data frame from the vectors fee, fi fo, fum by giant.df <- cbind(fee, fi, fo, fum) Now, some of the entries in fee, fi fo fum are NAs. I want to remove any row which contains a NA, thus creating a new, smaller data frame, with the same column names. This seems like something people would need

Hi, i'm a wine user since years now and recently I began to use GLC, a capture soft wich can work with wine BUT this soft need wine-pthread to capture wine windows !! wine-pthread was a mandatory file in any wine version as far as I can remember, but it simply disappear in wine 1.0 rc1 package (using ubuntu hardy repository since Debian one is quite outdated if you compare them) So is it a

Hi all, I would like to remove rows from a matrix, based on the frequency of missing values. If there are more than 10 % missing values, the row should be deleted. I use the following to calculate the frequencies, thereby getting a new matrix with the frequencies: freqNA=rowMeans(is.na(exprdata)) But is there a shorter way to remove the rows based on "(1-freqNA)>0.1"

Hi all, I'm trying to write a script that changes all negative values in a data frame column to a small positive value, based on the the minimum value of the column. However, I get the following error: Error in if (x[i] < 0) { : argument is of length zero As well, I would "minimum" to be the smallest of the non-negative values...

I received a recommendation to check out Asterisk, as a platform to host a simple DTMF response system, something like: Setup up VoIP endpoint on Linux/FreeBSD system Answer incoming VoIP phone calls User enters 100#, perl script plays back "foo" User enters 101#, perl script plays back "fum" User enters 102#, perl script looks up something in

Hi all, Does anyone know how to get the independent components and loadings from an Independent Component Analysis (ICA), as well as principal components and loadings from a Pricipal Component analysis (PCA) using the fastICA package? Or perhaps if there's another way to do ICAs in R? Below is an example from the fastICA manual (http://cran.r-project.org/web/packages/fastICA/fastICA.pdf)

Hi all, I need to replace missing values in a matrix by 10 % of the lowest available value in the matrix. I've got a function I've used earlier to replace negative values by the lowest value, in a data frame, but I'm not sure how to modify it... nonNeg = as.data.frame(apply(orig.df, 2, function(col) # Change negative values to a small value, close to zero { min.val =

Hi all, I guess this might be an easy question, but I've searched multiple help pages without finding any answear... so now I put my trust in you! I have a data frame (36 variables and 556 observations). One column contains three factors, and I would like to divide the data frame into three new ones, based on the value of the factors, thereby having only one value for all elements of the

Hi all, I'm doing Multiple linear regression for a data set. However, it takes a lot of time, as I would like to check every possible combination of factors, evalute the results based for instance on their p values, and then choose the best regression model. So, I wonder if anyone might have a script for that? Or if not, do you have some suggestions how to create such a script? I've