similar to: Licence for datasets in a R-package

Dear List, I've realized that the "CRAN Checking Package" system returns some Warnings for my package TR8 under "r-release-osx-x86_64-mavericks"; all the warnings include the following message "Invalid MIT-MAGIC-COOKIE-1 key" which I find a little cryptic. After some web searches, I understood that "MIT-MAGIC-COOKIE" is related to the X server and

I just checked your package on a mavericks VM and it seems fine, so I wouldn't worry about it. Probably some configuration issue on the CRAN server, perhaps xquartz is outdated. Unfortunately there is no easy way anymore to check on Mavericks. Travis used to support it, but they have deprecated mavericks (along with Apple and homebrew). Hopefully CRAN will update to the current MacOS for the

Thanks Joe for the reply: 1) why do you say to use fuzzy twice? Do you mean in both directions? 2) I have to mention that the remote system is a Synology NAS, which for whatever reason (I can't think about), doesn't support symlinks, even in the same disk volume or "share"! > But I could make some symlinks in the local system (archlinux) and user > exclude filters to

Hi, Recently added to doc/NEWS.Rd: 'R CMD check' now gives a warning rather than a note if it finds inefficiently compressed datasets. With 'bzip2' and 'xz' compression having been available since R 2.10.0, there is no excuse for not using them. Why isn't a note enough for this? Generally speaking, warnings are for things that are dangerous, or unsafe,

I'm pretty sure I'll feel like [more of] an idiot but... Using Rgui working in a fresh, blank directory. > require(MASS) Loading required package: MASS [1] TRUE > data(cabbages) Warning message: ======> Data set `cabbages' not found in: data(cabbages) <===== > ls() [1] "last.warning" > search() [1] ".GlobalEnv" "package:MASS"

OK , but then the solution with symlinks is equivalent, just with the right options for rsync. Make the link. Sync + exclude. Remove the link. Don't have to live with the folder on the source. *_______________Gionata Boccalini* 2015-06-08 22:49 GMT+02:00 Michael Johnson - MJ <mj at revmj.com>: > Oh, actually, I just thought of a couple other another options that don't >

Hi all ! I noticed a strange behaviour of the function `class<-` when a class-specific '[[.' method is defined. Here below a reproducible example : #-------------------------------------------------------------------. counttt <- 0 `[[.MYCLASS` = function(x, ...) { counttt <<- counttt + 1 # browser() x = NextMethod() return(x) } df <- as.data.frame(matrix(1:20,

RSiteSearch("creating datasets", restrict="doc") gives me R-exts.html as the first hit... I did pretty much the same thing you did and had no problem. In the data/ directory of the source package I only have the one .rda file and nothing else. Did you try installing the package and test it before you run check? Andy > From: Jim Lemon > > Hi folks, > >

I tried to build the gold plugin and receive the errors posted below. I checked out the gold plugin using "cvs -z 9 -d :pserver:anoncvs at sourceware.org:/cvs/src co src," as documented on llvm.org. Is that version bleeding edge and perhaps not stable? The first errors have to do with the libtool version. I have libtool 2.2.6 on my system, which is what the README-maintainer-mode

For example, Type 2 case, scalar-foo used call by value while vector-foo used call by ref. The question Johannes is asking is whether we can decipher that after the fact, only by looking at the two function signatures, or need some more info (what kind, what's minimal)? I think we need to list up cases of interest, and for each vector ABI of interest, we need to work on the requirements and

Hello I try to fit a LDA and RDA model to the same data, which has two classes. The problem now is that the training errors of the LDA model and the training error of the RDA model with alpha=0 are not the same. In my understanding this should be the case. Am I wrong? Can someone explain what the reason for this difference could be? Here my code: LDA model: =========== % x is a dataframe tmp =

I have posted, at http://wwwmaths.anu.edu.au/~john/r/newsets/ image (.rda) files, and first stabs at .Rd files for various data on deaths in London from 1629 to 1939. (There are of course gaps.) The sources (Guy 1882 & Stocks 1942) are documented in the .Rd files: (1) poxetc: measles, smallpox & total deaths: 1629-1881 [I have deliberately left several inconsistencies that were in

Hi there, I have a question on how to read a bunch of dataset, assign each of the dataset to a matrix in the memory, and append them. Suppose I have 20 dataset saved to different .rda files named gradeFileData1, gradeFileData2,...., gradeFileData20. And I would like to read them each into a dataset in the memory, then combine them. I wrote something like: e1<-new.env(parent=.GlobalEnv)

If save() fails because an object is not found, it should not overwrite an existing file. > a <- 1:9 > save(a, file = "a.rda") > rm(a) > load("a.rda") > a [1] 1 2 3 4 5 6 7 8 9 > rm(a) > save(a, file = "a.rda") Error in save(a, file = "a.rda") : object 'a' not found > load("a.rda") Error in

The attached patch to the qemu emulation of the pcnet hardware fixes several problems. It will now only read and write a transmit or receive descriptor once. It will correctly handle transmitting frames with more than two fragments. It will discard oversize frames instead of corrupting memory. I have tested all the changes I have made and even seen an improvement in receive performance from

I'm encountering excruciatingly slow load times for character vectors in R 2.6.0-- up to 30sec for a 15K file that contains a no-attributes character vector of length ~1e4 and object size ~0.5MB. In R 2.5.1, repeated loads of the same set of files are near-instantaneous. The problem is proving tricky to reproduce consistently from scratch, so I have attached the 3 files used in the examples

Dear all, I'm performing RDA on plant presence/absence data, constrained by geographical locations. I'd like to constrain the RDA by the "extended matrix of geographical coordinates" -ie the matrix of geographical coordinates completed by adding all terms of a cubic trend surface regression- . This is the command I use (package vegan): >rda(Helling ~

I've got something that might be a clue to understand the strange behaviour of lda in R --gui="gnome": in R --vanilla: library(MASS) load("mod23puriflda.rda") > a <- lda.default(x=mod23puriflda[,2:5],grouping=mod23puriflda[,6],CV=F) works fine. I save lda.default as a local rda file: > milda.nognome <- lda.default >

I've tried a few things both with prcomp(), and rda() and its friends in vegan (including biplot.rda and ordiplot), but can't find a solution. I'd like to associate subsets of the points in a resulting biplot ("sites" in the rda object) with different plotting colors/text styles to emphasize certain sets of points. I can't figure out how to keep the arrows (for

Hello R user, I have four data sets in dir "D:/Bharat Warule/Rdata_file" which are output_data_prod_1.rda, output_data_prod_2.rda, output_data_prod_3.rda, output_data_prod_4.rda. Each data set is huge size like number of rows 343297 and columns are near to 50. For example: x1 <- data.frame(x11=c(1,2,3,4,5),x112=c(10,10,10,10,10)) x2 <-