similar to: Is there a recent book on Q-Q plot and data visualization in general?

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),

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

I have contributed a "gam" library to CRAN, which implements "Generalized Additive Models". This implementation follows closely the description in the GAM chapter 7 of the "white" book "Statistical Models in S" (Chambers & Hastie (eds), 1992, Wadsworth), as well as the philosophy in "Generalized Additive Models" (Hastie & Tibshirani 1990,

I have contributed a "gam" library to CRAN, which implements "Generalized Additive Models". This implementation follows closely the description in the GAM chapter 7 of the "white" book "Statistical Models in S" (Chambers & Hastie (eds), 1992, Wadsworth), as well as the philosophy in "Generalized Additive Models" (Hastie & Tibshirani 1990,

I am new to R and am currently gathering reference books. In 'An Introduction to R' I have read the following: "For R, the basic reference is 'The New S Language: A Programming Environment for Data Analysis and Graphics' by Richard A. Becker, John M. Chambers and Allan R. Wilks. The new features of the 1991 release of S (S version 3) are covered in 'Statistical Models in

I am sorry about the problem caused by my first attempt at reporting a bug. This is a followup to my report PR#225, hopefully being more useful. By not I have a better understanding of the problems being reported. I wish to report one bug relating to plot character and to mention two other possible bugs (these may relate to differences between R and S) I have noticed with R. We have recently

Dear R help, I have the following data frame: structure(list(prochi = c("ind_1", "ind_1", "ind_1", "ind_1", "ind_1", "ind_1", "ind_1", "ind_1", "ind_1", "ind_1"), date_1st_event = structure(c(14784, 14784, 14784, 14784, 14784, 14784, 14784, 14784, 14784, 14784 ), class = "Date"),

Actually doing both sounds good to me. Can you explain further about ringing them all at once? Here is how I tried to make mine work and failed... {global} PHONES0=SIP/2000 PHONES1=SIP/2001 [local] exten => 6001,1,Dial(${PHONES0&PHONES1),20,trf) When I dial 6001 I see my debugger tell me that I am using the wrong syntax. Do you know the correct syntax for ringing them all at once? I

hi I've used R for many years on windows machines, but have now acquired an Asus eee 1000 linux machine. In order to get the best out of the machine, I used the 'pimpmyeee.sh' script, to get the full KDE desktop. The version of Linux is Xandros, which I believe is a close relative of Debian, but sadly I have only a nodding acquaintance with Linux at present. Naturally I want to

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

I'm trying to run multiple simulations using R on a cluster of pentiums running Solaris X86 by batching the R routines and simultaneously farming them out to the cluster nodes. This works fine on some of the machines, but on others the directory structure is mapped differently, so that when I try to run R, it can't be found, I can get around this by running /net/mp1/space/local/bin/R

In November, we had a "bug repository conversation" with Peter Hagerty and myself: https://bugs.r-project.org/bugzilla/show_bug.cgi?id=16065 where the bug report title started with --->> "exists" is a bottleneck for dispatch and package loading, ... Peter proposed an extra simplified and henc faster version of exists(), and I commented > --- Comment #2

Hi all, Could you please help me? I am looking for books/pointers/resources/tutorials on visualizing complex/big data and on understanding multivariate relations in complicated data. More specifically, we have categorical variables and are interested in how to visualize the categorical data and visualize data conditioned upon categorical values. Could anybody please give me some pointers?

That could be it. What I want to do is set a group of callers and have the event cause the phone to ring them in order. I will tie it to my IVR portion and thus I can make sure peole in sales get calls based on our hierarchy in the office. So if I am reading your example right the syntax is.... Exten => 501,1,Dial(SIP/PHONE1&SIP/PHONE2&SIP/PHONE3), rtf) Is that a valid way to cause

>>> What were your biggest misconceptions or >>> stumbling blocks to getting up and running >>> with R? Easy. I terms of materials I have been unable to find good books that introduce users to R from the perspective of someone familiar only with packages like SPSS or STATA, or not familiar with statistics packages at all. Even introduction texts use jargon

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I am not new to R, but I am new to .grib files. I am downloading some climate data and I would like to analyze it in R. R has a nice netcdf package, but I don?t see any package available to deal specifically with grib files. I see a few posts from other people using grib files in R. However, I was unclear if they used grib files in a different software program and then imported the data

Hi, I forgot the name of the function 'colSums', and expected to be able to find it through the 'see also' section of the documentation for the 'sum' function. Here is the diff I made of the altered documentation to facilitate this action... (p.s. I made the diff on the R-2.1.0 source). diff sum.Rd src/library/base/man/sum.Rd --context=2 *** sum.Rd 2005-06-03

I have a data.frame, data, with 30 factor variables. I would like to tabulate the frequencies of each variable and output to a tex file using Sweave. Here is my code chunk: <<label=tab, echo=FALSE, results=tex>>= library(xtable) for(j in 1:30){   cap <- paste("Frequency counts for Q",j,".", sep="")   xtable(t(table(data[,j])),caption=cap) } @

Hi! Can anyone please let me know what numerical integration procedure does the integrate function in package stats follow? Thank you in advance Shant [[alternative HTML version deleted]]