similar to: The "Green" Book?

Dear R and S people: Yet another dorky question (YADQ), please: Where can I find the data sets from Chambers' green book, please? I've tried http://cm.bell-labs.com/stat/Sbook (web site, no data or even pointers....functions and articles...good ones) http://cm.bell-labs.com/stat/project/icmanuf no web site at all. Thanks in advance!

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

Just to let everyone know: John Chambers R book is no longer at pre-order status on Amazon which is a good thing. The only problem is that now it is temporarily out of stock. There must have been many pre-orders so now I'm kicking myself for not having done that. Mark

2017-11-30 3:14 GMT+01:00 Suzen, Mehmet <mehmet.suzen at gmail.com>: > My understanding is that there is no inconsistency. `is` does what it > claims, from the documentation: > > ?is?: With two arguments, tests whether ?object? can be treated as > from ?class2?. > > With one argument, returns all the super-classes of this > object's

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,

Howdy, I looked at the references in the R and S-Plus literature to find a good introduction/reference to GLM. When I then went to Amazon it seemed to me that all the recommended books are out of print. Can anyone give me a recommendation which _available_ book to get? --Ragnar -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Hi, I found the following on Windows 2000/NT R Version 1.9.1 (2004-06-21) (also Version 1.9.0): The S4 group "Math" doesn't work as documented; i.e., "log", "log10", "gamma" and "lgamma" are included in the documentation but don't work. See example code below. Moreover, what about 'genericForPrimitive' which is used in

This article is accompanied by nice pictures of Robert and Ross. Data Analysts Captivated by Power of R http://www.nytimes.com/2009/01/07/technology/business-computing/07program.html January 7, 2009 Data Analysts Captivated by R?s Power By ASHLEE VANCE To some people R is just the 18th letter of the alphabet. To others, it?s the rating on racy movies, a measure of an attic?s insulation or

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

Dear R-Users, I'm currently studying the book Statistical model in S by Chambers J.M and Hastie T.J.. At page n 3 there's a plot showing the means of a variable at each of the levels of the factors of an experiment. I hope to be able to reproduce it here by ASCII art. B6 S | | Thin | | | | | | B3 __|_____|_____|__......etc | |

Hi all, I am trying to play around with the randomForest function for classification. I know its performance is great. I am currently using the default options. It has many options. How do I further tweak the options so that I can make its performance even better? What are the options that are mostly used? Thanks a lot! M [[alternative HTML version deleted]]

Dear R People: I'm sure that this is a very silly question, but I'm reading the Software for Data analysis book by John Chambers, and I can't find the "Declination" data that he refers to on page 15 in the book. I did all of the usual stuff: library(help=SoDA) ??Declination looked for it online but to no avail. Has anyone else run into this, please? Any help would be

I try to use ?randomForest to find variables that are the most important to divide my dataset (continuous, categorical variables) in two given groups. But when I plot the outliers: plot(outlier(FemMalSex_NAavoid88.rf33, cls=FemMalSex_NAavoid88$Sex), type="h",col=c("red","green")[as.numeric(FemMalSex_NAavoid88$Sex)]) it seems to me that all my values appear as

I bogged down about half way through reading the Green Book, in part because it became increasingly difficult to understand how some of the ideas related to R, as opposed to S (which I have not used). Does any reader know whether there is a document that points out differences between S and R that would be helpful in reading the Green Book? Ideally, perhaps, I need a "crib sheet" to

John M. Chambers Statistical Software Award - 2011 Statistical Computing Section American Statistical Association The Statistical Computing Section of the American Statistical Association announces the competition for the John M. Chambers Statistical Software Award. In 1998 the Association for Computing Machinery presented its Software System Award to John Chambers for the design and development

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

On Wed, 4 Jul 2007, Ben Chambers wrote: > Ah, I was missing that include/llvm/LinkAllPasses.h change. Thanks! > Now I have it working, except for the fact that it doesn't seem to > generate fresh names for things. Or if it does, they're the empty > string (I suspect it is the latter, since when I create the new > instruction the empty string is passed in for the name of

Can someone please recommend to me a book on the programming language that R is based on? I'm looking for a foundational book that teaches the logic of the S language. It seems that knowing the underpinnings of the language can only make using R a bit easier. Any leads are greatly appreciated . . . Matt. [[alternative HTML version deleted]]

Dear R-help Listers, The following two student competitions are of interests to the now many student R package developers. I'd appreciate your help in spreading them. #1. John M. Chambers Statistical Software Award 2018 The Statistical Computing Section of the American Statistical Association announces the competition for the John M. Chambers Statistical Software Award. In 1998 the