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R Books listing on R-Project
4 messages · Stavros Macrakis, G. Jay Kerns, Ben Bolker
Hello Stavros,
On Wed, May 27, 2009 at 2:53 PM, Stavros Macrakis <macrakis at alum.mit.edu> wrote:
I was wondering what the criteria were for including books on the Books Related to R page <http://www.r-project.org/doc/bib/R-books.html>. (There is no maintainer listed on this page.) In particular, I was wondering why the following two books are not listed: * Andrew Gelman, Jennifer Hill, *Data Analysis Using Regression and Multilevel/Hierarchical Models*. (CRAN package 'arm') * Michael J. Crawley, *The R Book*. (reviewed, rather negatively, in *R News * *7*:2) Is the list more or less arbitrary? ?Does it reflect some editorial judgment about the value of these books? If so, it might be more useful to include the books, but with critical reviews. ?It doesn't seem to be a matter of up-to-dateness, because 38/87 of the listed books were published in a more recent year than Gelman or Crawley. The list is currently in reverse chronological order. ?I wonder if it would be useful to group the entries thematically -- I'd be happy to help on that project.
I had a similar idea in 2008 for the R-wiki: http://tolstoy.newcastle.edu.au/R/e5/devel/08/10/0481.html There were no responses and I ran out of time to continue working on it myself. If you are interested in proceeding along these lines then I have some more ideas and would be willing to help... or, perhaps you (or somebody else) knows of an even better approach. Cheers Jay *************************************************** G. Jay Kerns, Ph.D. Associate Professor Department of Mathematics & Statistics Youngstown State University Youngstown, OH 44555-0002 USA Office: 1035 Cushwa Hall Phone: (330) 941-3310 Office (voice mail) -3302 Department -3170 FAX E-mail: gkerns at ysu.edu http://www.cc.ysu.edu/~gjkerns/
G. Jay Kerns wrote:
Hello Stavros, On Wed, May 27, 2009 at 2:53 PM, Stavros Macrakis <macrakis at alum.mit.edu> wrote:
I was wondering what the criteria were for including books on the Books Related to R page <http://www.r-project.org/doc/bib/R-books.html>. (There is no maintainer listed on this page.) In particular, I was wondering why the following two books are not listed: * Andrew Gelman, Jennifer Hill, *Data Analysis Using Regression and Multilevel/Hierarchical Models*. (CRAN package 'arm') * Michael J. Crawley, *The R Book*. (reviewed, rather negatively, in *R News * *7*:2) Is the list more or less arbitrary? ?Does it reflect some editorial judgment about the value of these books? If so, it might be more useful to include the books, but with critical reviews. ?It doesn't seem to be a matter of up-to-dateness, because 38/87 of the listed books were published in a more recent year than Gelman or Crawley. The list is currently in reverse chronological order. ?I wonder if it would be useful to group the entries thematically -- I'd be happy to help on that project.
I had a similar idea in 2008 for the R-wiki: http://tolstoy.newcastle.edu.au/R/e5/devel/08/10/0481.html There were no responses and I ran out of time to continue working on it myself. If you are interested in proceeding along these lines then I have some more ideas and would be willing to help... or, perhaps you (or somebody else) knows of an even better approach. Cheers Jay
I don't know what the editorial policy is, but Kurt Hornik put my book
up when I asked him to. (The BibTeX entries for both books are at
the bottom of this message, in case that's useful.)
Jay: why not post your R-books how to on the wiki itself???
I wrote some R code to wikify the R-books list from the
R web site -- it won't deal with LaTeX code in the abstract,
but otherwise should convert automatically.
w <- readLines(url("http://www.r-project.org/doc/bib/R-books.bib"))
g <- c(grep("^@",w),length(w)+1)
gd <- diff(g)
gd2 <- rep(1:length(gd),gd)
w2 <- split(w,gd2)
w2 <- w2[-na.omit(match(g,grep("^@comment",w)))]
w3 <- lapply(w2,
function(x) { c("<bibtex>",x,"</bibtex>") })
w4 <- lapply(w3,
function(x) {
abs.start.token <- "^ *abstract *= *{"
abs.end.token <- "} *, *$"
abs.start <- grep(abs.start.token,x)
abs.end <- grep(abs.end.token,x[-(1:abs.start)])+abs.start
abstr <- x[abs.start:abs.end]
n <- length(abstr)
abstr[1] <- gsub(abs.start.token,"",abstr[1])
abstr[n] <- gsub(abs.end.token,"",abstr[n])
c(x[-(abs.start:abs.end)],"",abstr)
})
@book{crawley_r_2007,
edition = {1},
title = {The R Book},
isbn = {0470510242},
publisher = {Wiley},
author = {Michael J. Crawley},
month = jun,
year = {2007}
}
@book{gelman_data_2006,
address = {Cambridge, England},
title = {Data Analysis Using Regression and {Multilevel/Hierarchical}
Models},
url = {http://www.stat.columbia.edu/~gelman/arm/},
publisher = {Cambridge University Press},
author = {Andrew Gelman and Jennifer Hill},
year = {2006},
keywords = {uploaded}
}
View this message in context: http://www.nabble.com/R-Books-listing-on-R-Project-tp23748687p23754282.html Sent from the R help mailing list archive at Nabble.com.
Jay: why not post your R-books how to on the wiki itself???
Because I thought that it would be better to write the instructions in R-wiki language that anybody could modify rather than post a PDF by me. Here is what I had in mind: http://wiki.r-project.org/rwiki/doku.php?id=links:books:howto Also, I put the books from the main page in the above format: http://wiki.r-project.org/rwiki/doku.php?id=links:books
?I wrote some R code to wikify the R-books list from the R web site -- it won't deal with LaTeX code in the abstract, but otherwise should convert automatically.
Excellent.... a person could use what you have written to simply copy/paste into the wiki in the appropriate place(s). One of the advantages of the R wiki is the ease with which books may be categorized - which goes back to Stavros' OP. At the time, I went to Springer or CRC somewhere and found the below categories. Judging from the flyers that fill my office mailbox, I believe that all of them are currently covered by *some* book related to R. If it were the author's responsibility to put their book in the proper category or categories, and given that authors are typically of a mind to sell books... then perhaps the R wiki would populate and maintain itself....? Jay Bayesian Statistics Biostatistics Computational Statistics Environmental Statistics Introductory Statistics Probability Theory & Applications Programming in R and S Reference Statistics & Collected Works SPC/Reliability/Quality Control Statistical Genetics & Bioinformatics Statistical Learning & Data Mining Statistical Theory & Methods Statistics for Biological Sciences Statistics for Business, Finance & Economics Statistics for Engineering and Physical Science Statistics for Psychology, Social Science & Law Unclassified