similar to: include a dataset in my package

Hello R helpers, I am producing a figure with dual strips, i.e., x~y | S1 + S2, where S1 and S2 are two strips. For example, in figure 2.1 at http://lmdvr.r-forge.r-project.org/figures/figures.html. In this case, I would like to combine the the top strip, since all three pictures in the same row have the same level based on the first strip. In other words, instead of | -- S11 -- | -- S11 -- |

I am new on R, so I have a maybe naive question: if I have many large data.frames and I use only one or two per session, what's the best way? If all are stored in the actual .Rdata, the system gets slow. On the other hand, I wouldn't like to make a separate package for the data. Should I save it with save() and then remove it with rm() ? Could I reload it then? Thanks for suggestions

Dear All, I have built a package which has a data.frame "annotIndex.rda in its "data" folder. I am using this data frame within two functions in my package. Though my package works fine, yet when I do a R CMD check to my package I get the following two notes get.affy.ensembl: no visible binding

Hi all, I'm putting together some common code + data into a custom package, everything is working out fine, but the ``R CMD INSTALL MyPackage`` call seems to take a particularly long time in the "**data" step: $ R CMD INSTALL MyPackage/ * installing to library ?/Library/Frameworks/R.framework/Resources/ library? * installing *source* package ? MyPackage? ... ** R ** data

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"

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I wrote a package which includes a number of genome sequencing project statistics on the web like http://www.ncbi.nlm.nih.gov/genomes/lproks.cgi. I included some generic functions to summarize, plot, and update the tables with the most recent version data(lproks) update(lproks) [1] "lproks successfully updated, 7 new genomes added" I usually save the dataset back to my package

Hi, actually while opening R console and R commander we see some packages like car and datasets. in this packages we have default datasets are available. example: women and prestige like that. now i created a sales dataset importing from excel, xml or text file. now i want to store that dataset permanently in any one of the package like i mentioned above (car or datasets). now i closed my R

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 may be doing this wrong! but I have a function which I have simplified a lot below. I want to pass some 'field names' of a data-frame to the function for it to then do some manipulation of. Here's my code: #build a simple dataset mydataset = data.frame (

I tried to post this a few times last week and it seems to have got stuck somehow so I'm trying from a different email in the hope that works. If somehow this has appeared on the list 20 tiems and I never saw any of them I apologize ;-) I'm basically an R-newbie. But I am VERY computer literate. But this has me stumped... All the examples for using the rmeta package to create a

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,

Dear List, I am building a R package which collects ecological data about plant species from both remote (web) databases and locally stored rda files (datasets): these "local rda files" are derived from publicly available databases for which no "official" licenses are provided; I was told by the creators of these databases that users can use such data provided that the

Dear everybody: We used the fine foreign library to bring in an SPSS dataset that was about 9 megabytes and I can squeeze it into a much smaller R object using compression with save(ndat, file="NatAnnES2000.rda", compress=T). I can use load() to get the "ndat" dataframe back, that's all good as far as I can see. If I put that file in the data subdirectory, then the

I found an issue with the data() command this evening when working on the survival package. 1. I have a lot of data sets in the package, almost all used in at least one vignette, help file, or test.? As a space saving measure, I have bundled many of them together, i.e., the file data/cancer.rda contains 19 data sets, many of them small. The resulting file (using xz compression) is quite a bit

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

Using gdata on windows and im having trouble to retrieve an excel file from a folder on my computer. This is my dummy: R > download.file("http://people.su.se/~lundh/data/cpi_kpix.rda", + "cpi_kpix.rda") R > URL <- "http://people.su.se/" R > PATH <- "~lundh/data/" R > FILE <- "cpi_kpix.rda" R >

Hi list, I am using the capscale function in vegan_2.0-7 to do a constrained principal coordinates analysis, and I kept getting the following error message: Error in Y.r[, oo, drop = FALSE] : subscript out of bounds I googled but I couldn't find an answer. Could anyone tell me why this error msg and what to do? Here is the command I used:

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)

Hi, I am performing a two-way ANOVA (2 factors with 4 and 5 levels, respectively). If I'm interpreting the output of summary correctly, then the interaction between both factors is significant: ,---- | ## Two-way ANOVA with possible interaction: | > model1 <- aov(log(y) ~ xForce*xVel, data=mydataset) | | > summary(model1) | Df Sum Sq Mean Sq F value Pr(>F) |