similar to: rgl.snapshot "failed"

I sent the message below to r-sig-mac yesterday, but having no reply I decided to explore a bit myself and found that editing: /Library/Frameworks/R.framework/Versions/2.3/Resources/share/make/ shlib.mk yzzy: diff shlib.mk shlib.mk~ 3c3 < include $(R_HOME)/etc/Makeconf --- > include $(R_HOME)/etc${R_ARCH}/Makeconf restored the functionality of R CMD INSTALL. Is this a known issue?

Dear Roger Koenker, I have had just the same problem (rgl.snapshot returns "failed") on my Fedora Core 6 system. It took me quite a while to figure out the solution, so I would like to post it here to make others' lives easier. My configuration: Linux zachariasz.dns6.org 2.6.18-1.2869.fc6 #1 SMP Wed Dec 20 14:51:19 EST 2006 i686 athlon i386 GNU/Linux Fedora Core 6 R version

My apologies, the data can now be found at: url <- "http://www.econ.uiuc.edu/~roger/research/ebayes/velo.d" x <- scan(url,skip = 1) If I could get each of the histograms to mimic what is produced by hist(x, 100, freq = FALSE) I?ve experimented with xlim, ylim, without success so far... url: www.econ.uiuc.edu/~roger Roger Koenker email rkoenker at uiuc.edu

Thierry, I have this: if (require(MatrixModels) && require(Matrix)) { X <- model.Matrix(Terms, m, contrasts, sparse = TRUE) in my function rqss() I've tried variants of requireNamespace too without success. If I understand properly model.Matrix is from MatrixModels but it calls sparse.model.matrix which is part of Matrix, and it is the latter function that I'm not

Does anyone have (good) experience converting tables of tournament results into dendrogram-like graphics? Tables, for example, like this: read.table(url("http://www.econ.uiuc.edu/~roger/research/ncaa/NCAA.d")) Any pointers appreciated. RK url: www.econ.uiuc.edu/~roger Roger Koenker email rkoenker at uiuc.edu Department of Economics vox: 217-333-4558

I?ve installed R 3.7.0 on a new laptop running macos 10.14.5 and have managed to get most of my usual packages to compile from source with a ~/.R/Makevars file that looks like this: CC=/usr/local/clang8/bin/clang CXX=/usr/local/clang8/bin/clang++ LDFLAGS=-L/usr/local/clang8/lib CPPFLAGS=-I/usr/local/clang8/include -I/opt/X11/include/freetype2 FC=/usr/local/gfortran/bin/gfortran

I'm trying to install the current R-devel on a G4 powerbook. I'm using ./configure --enable-R-shlib --with-blas='-framework vecLib' --with-lapack with rudjer: gcc -v Reading specs from /usr/libexec/gcc/darwin/ppc/3.1/specs Thread model: posix Apple Computer, Inc. GCC version 1175, based on gcc version 3.1 20020420 (prerelease) rudjer: g77 -v Reading specs from

Is there a painless way to find the names of all packages on CRAN that "Depend" on a specified package? url: www.econ.uiuc.edu/~roger Roger Koenker email rkoenker at uiuc.edu Department of Economics vox: 217-333-4558 University of Illinois fax: 217-244-6678 Champaign, IL 61820

In a private response to Tony Plate's suggestion to replace version() output with sessionInfo() in R-help requests, > roger koenker wrote: >> Thanks for this, it would seem useful to have version numbers for >> the packages too? and Tony replied, > > Sounds sensible to me! If I were you I'd send a message to R-devel > suggesting this. AFAIK, some changes to

I have a pdf scan of several pages of data from a quite famous old paper by C.S. Pierce (1873). I would like (what else?) to convert it into an R dataframe. Somewhat to my surprise the pdf seems to already be in a character recognized form, since I can search for numerical strings and they are nicely found. Of course, as is usual with such tables there are also headings and column

Negative indexing is often handy, but I'm in need of an appropriate idiom for handling cases in which the index set can be null: x <- rnorm(5) a <- 1:5 s <- rep(FALSE,5) y <- x[-a[s]] # I'd like y == x but instead one has x[-a[s]] == x[a[s]] == numeric(0), which is rather # unfortunate -- so far the best I have come up with is: as <- ifelse(length(a[s]),-a[s],TRUE)

I'm having problems with environments and update() that I expect have a simple explanation. To illustrate, suppose I wanted to make a very primitive Tukey one-degree-of- freedom for nonadditivity test and naively wrote: nonadd <- function(formula){ f <- lm(formula) v <- f$fitted.values^2 g <- update(f, . ~ . + v) anova(f,g) } x <-

Greetings, I'm organizing summer econometrics lunch meetings to discuss thesis work. The first meeting will be this friday July 18 12-1pm in the conference room on the third floor of Wohlers. The first talk will be by Lingjie Ma Control Variate Estimation of Structural Quantile Regression Models url: www.econ.uiuc.edu/~roger/my.html Roger Koenker email rkoenker@uiuc.edu Department of

What is the current state of the R-art for ordered probit models, and more esoterically is there any available R strategy for ordered cauchit models, i.e. ordered multinomial alternatives with a cauchy link function. MCMC is an option, obviously, but for a univariate latent variable model this seems to be overkill... standard mle methods should be preferable. (??) Googling reveals that spss

It being friday, I would like to call your attention to an innovative data analysis by Leslie Lamport available from: http://research.microsoft.com/users/lamport/pubs/hair.pdf I particularly liked the graphics. url: www.econ.uiuc.edu/~roger Roger Koenker email rkoenker at uiuc.edu Department of Economics vox: 217-333-4558 University of Illinois

On 28/06/2019 6:27 a.m., Koenker, Roger W wrote: > Thanks, I was just coming to that conclusion and beginning to look for a way to make a list of > exportable objects. After library(quantreg), ls("package:quantreg") will list all the names you currently export. So cat(ls("package:quantreg"), sep = ", ") will print the list in a form suitable for including

Motivated by Deepayan's recent inquiries about the efficiency of the R 'quantile' function: http://tolstoy.newcastle.edu.au/R/devel/05/11/3305.html http://tolstoy.newcastle.edu.au/R/devel/06/03/4358.html I decided to try to revive an old project to implement a version of the Floyd and Rivest (1975) algorithm for finding quantiles with O(n) comparisons. I used

Could someone advise me about how to react to the message: * checking R code for possible problems ... NOTE slm: no visible binding for global variable 'response' from R CMD check SparseM with * using R version 2.6.0 Under development (unstable) (2007-09-03 r42749) The offending code looks like this: "slm" <- function (formula, data, weights, na.action, method =

An extremely modest proposal: It would be nice if packages could have a FAQ and if faq(package.name) would produce this faq. And if, by default faq() FAQ() would produce the admirable R faq... Apologies in advance if there is already a mechanism like this, but help.search() didn't reveal anything. url: www.econ.uiuc.edu/~roger Roger Koenker email rkoenker at

I'm writing a new predict method and would like to be able to pass an argument called "se" via the "..." mechanism. However, predict has a "se.fit" argument that wants to interpret my specification of "se" as a partially matched version of se.fit. Surely there a standard treatment for this ailment, but I can't seem to find it. url: