similar to: question about cbind()

Dear all, I am trying to my dataframe for the PLS analysis using the PLS package. However I have some trouble generating the correct dataframe. The main problem is how to use one name to represent several columns in the dataframe. The example dataframe in PLS package is called "sensory". I cannot directly read the data file since it's a binary file. If I use

Dear all, I am trying to calculate the fitted values using a ridge model (lm.ridge(), MASS library). Since the predict() does not work for lm.ridge object, I want to get the fitted_value from the coefficients information. The following are the codes I use: fit = lm.ridge(myY~myX,lambda=lamb,scales=F,coef=T) coeff = fit$coef However, it seems that "coeff" (or "fit$coef") is

Dear all, Does anyone knwo how to add error bar to the data point in a simple xyplot? Right now, I have a .dat file including both the data points and their standard deviation and read it in R. I tried function arrows(). But it didn't gave me any arrows. Thanks for the help! Jeny

Dear, I'm doing analysis where I need to work on relatively large (50-60 MB) text files, though I'm really interested only in parts with binary variables (named indicators1, indicators2, ... etc.) Every text file contains other numeric columns, but not always the same and not always in the same order - therefore I would rather need a method connecting to file and reading only colums with

Hello everyone, I would like to use the "cbind" function to construct a dataset, combining some variable I defined before. The codes are something like var1 <- ... var2 <- ... var2 <- ... ... data <- cbind(var1,var2,var3...) The problem is I would like some flexibity in the data, i.e. the number of the variables are not fixed. Is there a method of combine the uncertain

Hi all, this question has already been posted on stackoverflow, however without success, see also http://stackoverflow.com/questions/27886535/proper-way-to-use-cbind-rbind-with-s4-classes-in-package. I have written a package using S4 classes and would like to use the functions rbind, cbind with these defined classes. Since it does not seem to be possible to define rbind and cbind directly as S4

>>>>> Michael Lawrence <lawrence.michael at gene.com> >>>>> on Sat, 24 Jan 2015 06:39:37 -0800 writes: > On Sat, Jan 24, 2015 at 12:58 AM, Mario Annau > <mario.annau at gmail.com> wrote: >> Hi all, this question has already been posted on >> stackoverflow, however without success, see also >>

>>>>> Michael Lawrence <lawrence.michael at gene.com> >>>>> on Sun, 1 Feb 2015 19:23:06 -0800 writes: > I've implemented the proposed changes in > R-devel. Minimally tested, so please try it. It should > delegate to r/cbind2 when there is at least one S4 > argument and S3 dispatch fails (so you'll probably want to

Are you able to create a reproducible example, somehow? Thanks, Michael On Mon, Feb 9, 2015 at 2:28 PM, Mario Annau <mario.annau at gmail.com> wrote: > Hi Michael, > I've tested your change in r67699 (using r67773) and the function now > correctly dispatches to r/cbind2 within the R-session without > bind_activation(TRUE). However, running unit tests using R CMD check I

>>>>> Mario Annau <mario.annau at gmail.com> >>>>> on Wed, 11 Feb 2015 20:18:53 +0100 writes: > sorry - I just got irritated by my different R-versions. > The behaviour I described in the previous mail was discovered using R > 3.1.2 without bind_activation(TRUE). In r67773 all calls are delegated > to r/cbind.matrix and not

Hello I am trying to run equations with different combinations of explanatory variables. I have managed to figure?out how to generate?the different combinations, and am trying to set up equations where I use these combinations. And this is where I?am getting stuck. I have searched several R websites but with no success. This is how I generate the different combinations of my explanatory variables

Dear list, Is there a generalised form of rbind/cbind for combining matrices/arrays into higher-D structures? ie. if I have: a <- matrix(2,2,2) b <- matrix(3,2,2) how can I get array(rep(c(3,2), each=4), c(2,2,2)) ? It seems like this would be the job of a generalised abind function: abind(a,b, along=1) == rbind(a,b) abind(a,b, along=2) == cbind(a,b) abind(a,b, along=3)

I would like to create a new dataframe from the DateTime column of an existing dataframe and a numeric vector. When I do cbind(x[,1], y) the result is: [1,] 1199370600 12.500 [2,] 1199371200 69.375 [3,] 1199371800 23.750 where the first column you see used to look like: "2008-01-03 08:30:00 Central Standard Time" "2008-01-03 08:40:00 Central Standard Time"

hi, all: Just wonder if there is any suggestions in how to get around this cbind error. I created two character lists with identical length. First tried combine the lists together with cbind, then convert the lists to matrix, and tried again. Both faied. Any fix to merge the two lists/matrices? ll<- multiget(ftID, hgu95av2LOCUSID) > class(ll) [1] "list" > sym <-

Dear R users, thank for help. SORRY I am seeing in google a maillist but I didn't find a solution for my problem I have several txt file (with the same number of column and HEADER) to merge together, this is an example: Tableanalysis_firenze_10.txt Tableanalysis_firenze_20.txt Tableanalysis_firenze_30.txt Tableanalysis_firenze_40.txt Tableanalysis_firenze_50.txt

I often need to "combine" data frames, sometimes "vertically" and other times "horizontally". When it "better" to use merge? When is it better to use rbind or cbind? Are there clear pros and cons of each approach? --------------------------------- [[alternative HTML version deleted]]

Dear list, I reduced my data to the following: x <- c(1,4,2,6,8,3,4,2,4,5,1,3) y <- as.factor(c(2,2,1,1,1,2,2,1,1,2,1,2)) z <- as.factor(c(1,2,2,1,1,2,2,3,3,3,3,3)) I can produce the statistical summary just fine. s1 <- tapply(x, y, summary) d1 <- tapply(x, y, sd) s2 <- tapply(x, z, summary) d2 <- tapply(x, z, sd) First thing: I have 100 plus factors to analyse. Theirs

Hi all, I'm just a beginner with R but I have not been able to search for any relevant answer to my problem. I apologize if it has in fact been asked before. Recently I've realized that I need to combine hundreds of pairs of data frames. The filenames of the frames I need to combine have unique strings. This is my best guess as to the approach to take: filenames<-list.files()

Hello, I have three method types and 100 generalization errors for each, all in the range [0.65,0.81]. I would like to make a stacked histogram plot using ggplot2 with this data ... Therefore I need a data frame of the form e.g. Method GE ---------- ------ "Classic" 0.76 "Classic" 0.79 "Own

## Hi, I'm having trouble understanding how the cbind function decides what method to apply to its arguments. Easy cut and paste code below. > > > > ## create two columns > c1 <- c("A","A","B","B") > c2 <- 1:4 > > ## cbind outputs a matrix with elements that are characters, seems reasonable > out <-