similar to: data.frame with variable-length list

http://bugzilla.mindrot.org/show_bug.cgi?id=335 dyw at iohk.com changed: What |Removed |Added ---------------------------------------------------------------------------- Severity|major |normal Keywords| |help-wanted OS/Version|Linux |BSDI

Hi, I want to compute the lower triangle of a square matrix (optionally, sans diagonal). With for() loops I can do something like this: ## 5 by 5 matrix rtn for (j in 1:5) { for (k in 1:j) { if (j != k) { ## optional rtn[j, k] <- my.func(j, k) } } } I'd like to do this with apply(). Is there some way I can do this kind of 'short-circuit'? Thanks, Mark Wilkinson

Can someone explain me what's going on and why the receiver of this fax guives up saying communication error? Slow carrier up Slow carrier down Slow carrier up <<< CSI: 40 20 20 20 20 20 20 20 34 39 34 35 36 34 39 35 30 20 39 33 2b CSI without final frame tag Remote fax gave CSI as: "+39 059465494 " <<< DIS: 80 00 ee f8 c4 00 DIS with final frame tag In

Newbie and trying to learn the right way of doing things in R. in this case, I just have that feeling that my convoluted line of code is way more complicated than it needs to be. Please help me in seeing the easier way. I want to do something pretty simple. I have a dataframe called x that is 6945 elements long. I'd like to create a vector rtn= log(x[2,2]/x[1,3]), then log(x[3,2]/x[2,3]),

Hi, I apologize if this has previously been posted. I've just subscribed to the R-help digest. I'm writing a plotting function that uses layout() to plot several different plots on the same device. This function uses plot(), image(), and a custom function that uses text(). Each cell of the layout needs different par() parameters, so what I'd like to do is pass them as lists:

In Henric's recent post, he included this output: @BOOK{R:Harrell:2001, AUTHOR = {Frank E. Harrell}, TITLE = {Regression Modeling Strategies, with Applications to Linear Models, Survival Analysis and Logistic Regression}, PUBLISHER = {Springer}, YEAR = 2001, NOTE = {ISBN 0-387-95232-2}, URL =

Hi Krzysztof, Sure, please see below. DAG.dump.() before and after, annotated with what I believe the DAG means. I've spent some time debugging the method but it's proving difficult to determine where the logic is misfiring. Disabling the entire combine causes a lot of failing x86-64 tests - I may have to learn an upstream vector ISA to make progress on this. Thank you >From your

I'm trying to learn statistics and R at the same time. I have an undergraduate science degree and one year of calculus (30 years ago), but never took a stats course. I hope to take some stats courses in the next year, but thought I would start to see how much I could teach myself. I work for an organization that analyses behavior change communication programs regarding HIV/AIDS and

The function 'wilcox.test' in R and S gives (almost) identical results (see below). 'qwilcox' however, does not: > qwilcox(p,5,5) p: 0.025 0.975 -------------------- R> 3 22 S> 18 37 I originally wanted to ask a questions, but then I found the answer. Given the confusion I run into, I wonder if this experience is worth reporting. The

I think I've gotten my Emacs/Sweave/R system set up correctly, thanks to Vincent and Jim, but I haven't been successful getting my first document produced. I'm trying to use one of Friedrich Leisch's examples, http://www.ci.tuwien.ac.at/~leisch/Sweave/example-1.Snw. I cut and pasted the text into a document sweaveexample.Rnw in Emacs. It seemed to be processed successfully with R:

I hope this question is sufficiently different from the other requests for book recommendations that it's not repetitious. If not, I apologize in advance. I'm curious what standard reference books working statisticians, or biostatisticians, have within easy reach of their desk. I'm a computer systems administrator, and have a two-foot bookshelf directory under my monitor that contains

Hi, I would like to do a MannWitney test. Can anyone help me with the propper command? Thanks, Margarida

I've been working with R for all of about 8 hours, so anyone with more experience than this should be able to help me. General comments about my methods of work are also welcomed. I have a table that I've imported thusly: > w <- read.table("woodford.data", header=T) > w start therms gas KWHs elect temp days 1 10-Jun-98 9 16.84 613 63.80 75 40 2

Should tablegen detect this as an error, or is it documented as a limitation somewhere that we've missed? In the tablegen-generated file AMDILGenIntrinsics.inc, we have a bunch of if statements comparing strings, many of which are dead, preventing correct recognition of some intrinsics in the their text form. I'm not quite sure what GET_FUNCTION_RECOGNIZER is used for, but if it's

Hi, you can use this simple function: add.col<-function(df, new.col) {n.row<-dim(df)[1] length(new.col)<-n.row cbind(df, new.col) } see this example: > x<-cbind(c(1,2,3),c(4,5,6)) > x [,1] [,2] [1,] 1 4 [2,] 2 5 [3,] 3 6 > y<-c(7,8) > y [1] 7 8 > add.col<-function(df, new.col)

We just studied randomized block design analysis in my statistics class, and I'm trying to learn how to do them in R. I'm trying to duplicate a case study example from my textbook [1]: > # Case Study 13.2.1, page 778 > cd <- c(8, 11, 9, 16, 24) > dp <- c(2, 1, 12, 11, 19) > lm <- c(-2, 0, 6, 2, 11) > table <- data.frame(Block=LETTERS[1:5], "Score

I have two lists: xa <- list( X=c(1,2,3), Y=c(4,5,6), Z=c(7,8,9) ) xb <- with( barley, tapply( X=seq(1:nrow(barley)), INDEX=site , FUN=function(z)yield[z])) I can convert xa to a dataframe easily with: as.data.frame(xa) But if i try the same with xb I get: as.data.frame(xb) Error in as.data.frame.default(xb) : can't coerce array into a data.frame What

Dear useRs, I have a list, each entry of which is a matrix of constant dimensions. Is there a good way (i.e., not using a for loop) to apply a mean to each matrix entry *across list entries*? Example: foo <- list(rbind(c(1,2,3),c(4,5,6)),rbind(c(7,8,9),c(10,11,12))) some.sort.of.apply(foo,FUN=mean) I'm looking for a componentwise mean across the two entries of foo, i.e., the

If the source being scanned has "llvm.AMDIL.barrier.global, it will match the first barrier test and return AMDIL_barrier, not AMDIL_barrier_global. On Nov 29, 2012, at 7:19 PM, Chris Lattner <clattner at apple.com> wrote: > Out of curiosity, what is wrong about that? It looks ok to me. > > -Chris > > On Nov 29, 2012, at 6:52 PM, "Relph, Richard"

I have the following csv file: name,x,y,z category,delta,gamma,epsilon a,1,2,3 b,4,5,6 c,7,8,9 I'd like to create a numeric matrix of just the numbers in this csv dataset. I've tried the following program: sample.data <- read.csv("sample.csv") numerical.data <- as.matrix(sample.data[-1,-1]) However, print(numerical.data) returns what appears to be a matrix of