similar to: Questions about cbind

Hi, I'd got a matrix of correaltion values. Which cluster method can I use to cluster it? Best Regards...

I created a type of object similar to a data frame. In some circumstances, It needs special methods for "[" and "[<-" and rbind() (but not cbind()). Then I found this in the cbind()/rbind() man page: The method dispatching is _not_ done via 'UseMethod()', but by C-internal dispatching. Therefore, there is no need for, e.g., 'rbind.default'.

Dear R-helpers: Suppose I have a datafram called "test_frame" like this col1 col2 col3 col4 r1 x x x x r2 x x x x r3 x x x x .. x x x x rn x x x x I know I can get data of col3 by using test_frame[,3]. My question is, if I want to do this by specifying "col3" rather

Hi all --- I note that the column name of the first column in a dataframe does not necessarily get passed on when using cbind (example below)? I'm looking for help in clarifying why this behavior occurs, and how I can get all col names, including the first, passed on to the result?while I suspect it's obvious and documented to the cognoscenti, it's puzzling me? Many thanks for any

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"

I have a dataframe that has a header like so: class value1 value2 value3 class is a factor the actual values in the columns value1, value2 and value3 are 0-255, I wish to binarize these using biclust. I can do this like so: binarize(dataframe[,-1]) this will return a dataframe, but then I lose my first column class, so I thought I could combine it like so: dataframe <-

Hello, I am using cbind in a lm-model. For standard lm-models the r.squared can be easily extracted with summary(model)$r.squared, but that is not working in in the case with cbind. Here an example to illustrate the problem: a <- c(1,3,5,2,5,3,1,6,7,2,3,2,6) b <- c(12,15,18,10,18,22,9,7,9,23,12,17,13) c <- c(22,26,32,33,32,28,29,37,34,29,30,32,29) data <- data.frame(a,b,c)

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

On 5 Aug 1999, Peter Dalgaard BSA wrote: > (1) The docs are clearly wrong (or perhaps rather, wishful thinking) Sorry, but always the docs are right and the implementation wrong. That's an axiom of professional computer programming (so I am told by several ex-professional computer programmers.) > (2) Cbind should be generic as in Splus > > (3) For the labels, one needs

>>>>> 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 >>

Dear all, I have a question about how to get a matrix by combining a large number of columns from a data file. Suppose I read a file which have 1000 columns by: test = read.table("dat.txt", header=F) I know I could use "cbind()". It's easy to do when the number of columns is small (i.e. cbind(test$V1, test$V2)). But how about build a matrix "X" by combine the

>>>>> 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

Hi there, I have the following problem: I have a package called "polLCA" which has the following syntax: poLCA(formula, data) and needs the following formula definition: formula <- cbind(V1,V2,V3,...) So far so good. What I tried now was the following: #Get "data" with the "read.table" fuction data <- read.table("d:/ .....) #Select cols to use in the

>>>>> 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

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

(1) ?cbind claims The generic functions `cbind' and `rbind' take a sequence of vector and/or matrix arguments and combine them as the columns or rows, respectively, of a matrix. Note: The method dispatching is not done via `UseMethod(..)', but by C-internal dispatching. Therefore, there's no need for, e.g., `rbind.default'. but my cbind.ts

Hello R help I have a dataframe, with 71 samples (rows) and 30 variables. I got linear models for some of the variables,? and I want to join fitted and residuals of these models to the data frame. Sometimes, these vectors have the same length of the dependant variable, but in a few cases, NA values can be found on my data, and therefore, both fitted and residuals have a few rows less than the

Hi, I am trying to process genomics data and the presence of both characters and integers in an array is giving issues. The following is an example: > a<-array(c(2,2,"X",1:3,2:4),dim=c(3,3)) > b<-cbind(a[,1],a[,2]) With the output being: [,1] [,2] [1,] "2" "1" [2,] "2" "2" [3,] "X" "3" Is there any

Hi, how can I treat data organised in classes and frequencies? Ex. class frequency 20-23 9 23-25 7 26-28 5 29-31 5 32-34 3 Thanks Angelo Scozzarella

> > I have two dataframes and want to perform cbind and then write into a > file. The number of entries are more than a million in both frames. R is > taking a lot of time performing this operation. > > Is there any alternate way to perform cbind? > > x = table1[1:1000000,1:4] > y = table2[1:1000000,3:6] > > z = cbind(x,y) //hanging the machine > >