similar to: recovering value of scalar from false color map and image

The documentation for the arima function in the package stats has a slight error. It references: Ripley, B. D. (2002) Time series in R 1.5.0. R News, 2/1, 2–7. [1]http://www.r-project.org/doc/Rnews/Rnews_2002-1.pdf This should be: Ripley, B. D. (2002) Time series in R 1.5.0. R News, 2/2, 2–7. [2]http://www.r-project.org/doc/Rnews/Rnews_2002-2.pdf Anyone know who I should tell about this?

I wondered if there were standard practices in CRAN for delivery of R source implementing functions in R packages. I has encountered a couple of packages where the gzipped version of source contains very little, primarily the Help files describing the functions in the package. In some cases I can find the source as the value of the function name. Given that these packages are released as GPL,

Apologies if this is the wrong place to ask. I'm not aware of a mail list devoted to database interfaces. Please direct me if so. I am trying to use TSMySQL. It loads RMySQL, and apparent the CRAN version has an .onLoad script which seeks out the local MySQL server. If that fails, the package fails to load. Thing is, I'm trying to access a MySQL database on a remote machine for which

I'm interested in the Rsolnp package. For their primary function "solnp", one example is given, and there is a reference to "unit tests". Anyone know where these can be found? Also, Rsolnp is used in a few other packages (e.g., depmixS4), but I cannot seem to find source illustrating its call sequence, and the precise definition of the functions passed. Can anyone help?

I admire package-builders being proactive and having their facilities ready for upcoming R releases. However, if the publicly released version of R is 2.10.1 and a package is built for R 2.11.0, users get the embarrassing notice about a disconnect, and cannot do much about it. If it is tedious to roll out a new package on time, perhaps there's a possibility for automation here. Thanks. I

lm's "predict" function offers an "interval" parameter to choose between 'confidence' and 'prediction' bands. In the package "robust" and for "lmRob", there is also a "predict" but it lacks such a parameter, and the documented "type" parameter has only "response" offerred. Is there some way of obtaining

Is it possible to export a list of installed packages from WinXP, and use that export to import the same set of packages on Ubuntu (Jaunty)? No doubt there is custom code that could be written, but I wonder if R 2.9.1 has anything built it to do that? Is it as simple as moving something like Rprofile.site from one machine to the other? I had a look at R-admin.pdf, and although it talks a lot

Dear R list members I would be grateful if anyone could guide me to a solution for fixing my rimage package problem described below. I recently upgraded my machine from fedora core 3 to fedora core 6 and then upgraded R from version 2.3.1 from version 2.4.1. I then fired up R, tried to load the rimage library and received the following messages: > library(rimage) Error in dyn.load(x,

Recently, a package for convex optimization was announced for Python, based upon the LP solver GLPK, the SDP solver in DSDP5, and the LP and QP solvers in MOSEK. I'm aware GLPK is available for R, but wondered if anyone had good packages for convex optimization along these lines for R. TIA.

Is there any way to write an imagematrix generated by the rimage package? Reproducible example: library(rimage) x <- read.jpeg(system.file("data", "cat.jpg", package="rimage")) png("newcat.png") plot(x) dev.off() The newcat.png image is different from the original file, because there are ugly white borders around it. Alberto Monteiro

Dear all I prepared some image processing routine which depended on package ReadImages. Basically I imported image to R, changed rgb to grayscale, normalised an image made some selections and changed to image by imagematrix. Recently I learned that this package was removed from CRAN and can not be used in R 3.0.0. What options I have now to import image to R, change it to grayscale, make some

Can someone point me to the proper place in the documentation or on the Wiki where I can learn how to get R to stop interpreting the string "NA" as something special? I have a table in a database which contains (among other things) country codes and continent codes. The standard set of two-letter codes includes "NA" to denote "North America". I learned of the

I've written a piece of code (see below) to do a wavelet image decomposition, during the evaluation of this code I would like to write the results of some calculations back to the R root directory. I used assign() to do so because the names should vary when going thrue a while() loop. For some unknown reason I get an error that says: Error in assign(varname[i], imwrImage) :

Joyful. I'm adapting a FORTRAN 77 package for use with R. Pretty straightforward. Except for a glitch it took me some time to figure out. This existing package has subroutines which have parameters called "NA". So, I called subroutines like bnodes <- function(n, lst, lptr, lend, nodes, nb, na, nt) { ensure.all.numeric(list(n, lst, lptr, lend, nodes, nb, n.a, nt),

Colleagues, I am using R to assemble RTF documents (which are plain text). I need to embed a JPEG graphic that was created with R. I presume that the steps need to be: a. read the file into R b. convert the object to HEX format c. write the converted object to a textfile. If I read the file into R using readLines, I get the following (only the first 5 lines shown): > >

Dear All, There is a question I met when using Affy package in Bioconductor. I asked it in BioC and didn't get any responses. Sorry to post again: Could anyone tell me how to draw a deep-blue Affymetrix image through Image() function in Affy package? The default settings of image() draw me a black-white image and if I modify it to 256 colors, I get a somehow yellowish image. The reason

Hi, I'm trying to create a heatmap with color ranges for different values in my matrix. For example: If x > 5 , use orange gradient if x < 1.5, use red gradient ..... Right now I have the following: orgPal<-brewer.pal(3,"Oranges") bluPal<-brewer.pal(3,"Blues") redPal<-brewer.pal(3,"Reds") grad <- ifelse(randMat >

Hi, I went ahead and implemented something. However: - I cannot garantie it gives correct results since, unfortunately, the data used in Syrjala 1996 is not published along with the paper. To avoid mistakes, I started by coding things in a fast and simple way and then tried to optimize the code. At least all versions given the same results. - As expected, the test is still quite slow

There's Renka's STRIPACK, and TRIPACK, respectively, ACM TOMS Algorithms 772 and 751, and there's the R package "deldir" which does the Delaunay for a plane, but does anyone have or know of the tessellation in R for a sphere? Also, is there a standard indexing scheme for Delaunay facets, and perhaps of edges in such facets? I'd expect that to be a publication reference,

I wanted to put this on the R Wiki, but found the suitable pages were read-only. I wanted to get it out in public to save people work. I was converting dates like "2009/03/26 01:00:00 AM" using as.POSIXct. I found that using a format of "%Y/%m/%d %I:%M:%S %p" did not work correctly to distinguish AM from PM. Both were converted into the same timestamp. Indeed, what I found