similar to: primer on plot function

Hi, I want to look for some detailed explanation on the properties of Q-Q plot and how the properties are derived. In R, there is the following reference. Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole. Somebody also mentioned the following book chapter to me. Chambers et al., Graphical methods for Data Analysis, Ch.6. But both books are

I found out today (maybe I had known sometime before??) that objects() is a synonym for ls(). I'm curious about the history, which seems to go at least back to the beginning of R. It's been thus since SVN revision 2 (Sep 1997) ... svn cat https://svn.r-project.org/R/trunk/src/library/base/R/attach at 2 | grep objects I had a quick look at the Becker & Chambers brown book (1984)

Do you know of a reference that discusses alternative choices for plotting positions for a normal probability plot? The documentation for qqnorm says it calls ppoints, which returns qnorm((1:m-a)/(m+1-2*a)) with "a" = ifelse(n<=10, 3/8, 1/2)? The help pages for qqnorm and ppoints just refer to Becker, Chambers and Wilks (1988) The New S Language (Wadsworth & Brooks/Cole),

Hello, I am very new to R (as my Subject probably indicates). I want to do something that should, I think, be very simple. I have five vectors in a list and I want to construct a covariance matrix out of them. Given a 5X5 matrix cvm1, and the list of vectors, cvm1_list, I thought the following would work (sorry cannot find code tags): for(i in 1:5){ for(j in 1:5){ cvm1[i,j] <-

Hi R people: On page 235 of the Blue Book (Becker, Chambers, and Wilks), there is a "compose2" function. compose2 <- function(f,g) { gg <- substitute(g1(x)) print(gg) gg[[1]] <- g ff <- substitute(f1(y)) print(ff) ff[[1]] <- f ff[[2]] <- gg print(ff) fun <- function(x){ NULL } fun[[2]] <- ff fun } However, when I run this function using sum

hi: apologies for taking up everyone's time. my problem is probably documented somewhere, but I again cannot find it. (which reminds me: I cannot find a search engine that allows me to search the archives of this very useful mailing list.) * it seems that lines(lowess()) fails to plot certain line segments. (and, what does it do at the x-min and x-max of a data set?) Rather than

I'm trying to diagnose a bizarre problem in which the help files invoked from R are partially defective. help(), for instance, is missing the Description, Arguments and See Also sections; as are help files for other commands (see below). I've built 2.8.1, 2.10.1 and HEAD with the same results; do I need to set an environment or configuration variable? help

In another thread on this list, various wild allegations have been made, relating to the New York Times article on R. I object both to the subject line and to the content of several of the messages, and will not repeat or quote any of that content. It smacks to me of mischief making. Discussion has centered around the following quote from the NY Times article: ?According to them, the

Hello, I have searched for documentation on the function contourLines's algorithm but cannot find a thing. I am about to submit a paper to a journal but cannot yet do so because I need to provide some reference for this function. Does anyone know what algorithm is used for this function? Thanks, Derek Lacoursiere -- View this message in context:

I'm surprised this isn't a FAQ, but I searched all over and could not find a reference to it. Chambers (1998) makes repeated references to "Chapters" in S (e.g., p. 6), but I can find no reference to "Chapters" in R. Since Chapters were not used in earlier versions of S, I'm wondering if R uses them or not. If it does, how does one get them to work? I've

Hi I had a hard-to-find bug in some of my code the other day, which I eventually traced to my misusing of sweep(). I would expect sweep() to give me a warning if the elements don't recycle nicely, but X <- matrix(1:36,6,6) sweep(X,1,1:5,"+") [,1] [,2] [,3] [,4] [,5] [,6] [1,] 2 9 16 23 30 32 [2,] 4 11 18 25 27 34 [3,] 6 13 20 22

Hi, I have not been able to find answers to these questions in the FAQs, manuals, or R-help archives. If answers are available somewhere, please direct me to them. 1.) Is there a way to convert a table (e.g. represented as a data frame) to a function, specifying which columns are input and which column is output? It would seem that this would be useful for plotting experimental results,

Dear All, I would be very appreciative of your help with the following 1). I am running multivariate multiple regression through the manova() function (kindly suggested by Professor Venables) and getting two different answers for test=c("Wilks","Roy","Pillai") and tests=c("Wilks","Roy",'"Pillai") as shown below. In the

Hello fellow R sufferers, Is there a way to perform an appending operation in place? Currently, the way my pseudo-code goes is like this for (i in 1:1000) { if (some condition) { newRow <- myFunction(myArguments) X <- rbind(X, newRow) # <- this is the bottleneck!! } } As you can see, it works but as the matrix X gets the size of a few million rows, the

Hello, Before I consider purchasing it, can someone comment on the general applicability of John Chambers' book titled "Programming with Data" for R programming. I am currently using R-1.3.1 with the Omega SLanguage and RSMethod packages. Many thanks, Randall -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Full_Name: Maria Rizzo Version: 2.10.1 (2009-12-14) OS: Windows XP SP3 Submission from: (NULL) (72.241.75.222) platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 2 minor

Dear R-ers Could you tell me how to build DLL from Fortran source and use the DLL in R? Environments: Windows 98 Fortran compiler : DIGITAL Visual Fortran Optimizing Compiler Version: V5.0 R v1.2.3 EXAMPLE SOURCE : FOO.FOR ------------------------------------- SUBROUTINE FOO(I,J) INTEGER I,J I=0 J=I+1 END ------------------------------------- I compiled FOO.FOR with DLL option.

On Nov 6, 2012, at 2:19 PM, Marshall Clow <mclow.lists at gmail.com> wrote: > Binutils and LLVM > > As part of "owning our own toolchain", various people have expressed an interest and have been working on creating various tools that duplicate the functionality of tools available on other systems. I have summarized the information that I've gathered, and put it up

R-Version: 1.7.1 (2003-06-16) OS: Debian/GNU Linux cbind and rbind handle NULL parameters inconsistently. Consider: > cbind() NULL > cbind(NULL) NULL And: > cbind(diag(x = 1, 1, 1)) [,1] [1,] 1 > cbind(NULL, diag(x = 1, 1, 1)) [,1] [1,] 1 These seem to indicate that NULL parameters will be ignored in any call to cbind and rbind. However: >

Platform: RedHat 7.0 Samba version: 2.2.7a Client platforms Windows 2000 Pro SP3 Number of clients: 7 This is my SAMBA configuration file # Samba config file created using SWAT # from localhost.localdomain (127.0.0.1) # Creation Date: 2002/10/21 15:26:01 # Global parameters [global] workgroup = SABER netbios name = SHADOW server string = SAMBA-PDC interfaces = eth0 192.168.1.13 encrypt