similar to: Out-of-date manual or small bug in R CMD check?

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"

Hi, I have two .rda files that I need to include in a package. I've placed them both in a data directory after save() the are around 150Kb each. When I try to check the package I get the following warning Warning: large data file(s) saved inefficiently: size ASCII compress zagoskin.rda 137Kb FALSE none Note: significantly better compression could be obtained

Hi, I have a set of gene expression data in .RDA file. I have downloaded Bioconductor and R program for analyzing these data. Anyway, I am not sure how to open this RDA file in R program (what is the command?) in order to look at these data. And which package should I use for analyzing it e.g. plot the expression image? Thank you. Jittima

Hi, With current R devel and R 2.13.1: > aa=1:5 > save(aa, file="aa.rda", compress="xy") Error in identical(compress, "gzip") || compress : invalid 'y' type in 'x || y' Thanks! H. > sessionInfo() R version 2.13.1 (2011-07-08) Platform: x86_64-unknown-linux-gnu (64-bit) locale: [1] LC_CTYPE=en_CA.UTF-8 LC_NUMERIC=C [3]

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

Hi everyone I have a question about how to save a regression model in R and how to retrieve it for making predictions in a new session. To be more specific, I fitted a multilevel logistic regression model using the lmer from the "lme4" package. I then successfully make predictions using fitted(mymodel). Since data are complex (three levels, nested, numerous categorical and

Hi Everyone, I have two very basic questions and would appreciate your help. 1. I would like to see/access the data that comes with a given R package by using a function like read.table(). For example, I just installed car package from CRAN. I know that somewhere within the package, there is Duncan.txt file. I would not only like to look at it from file browser (or using ls command in shell) but

Hi, Can someone tell me how to create .rda data files in R so that they can be used contributed package? Thanks Deli Wang [[alternative HTML version deleted]]

blockquote, div.yahoo_quoted { margin-left: 0 !important; border-left:1px #715FFA solid !important; padding-left:1ex !important; background-color:white !important; } Mmm, Si te refieres a pasar datos de papel directamente a R en el ordenador... yo los pasaria directamente a un archivo de texto plano, que vendría a llevar el mismo tiempo, y los cargaría en R. No es Bueno tener los datos solo en R

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 =

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

On Fri, May 4, 2018 at 8:34 AM, Tomas Kalibera <tomas.kalibera at gmail.com> wrote: > The current heuristic/hack is in line with the compatibility approach: it > detects files that are obviously binary, so it changes the default behavior > only for cases when it would obviously cause damage. > > Tomas Well, I was trying to download a .gz file and download.file() didn't

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 <-

Dear all, I did a RDA and when I looked to the signification of the test with permutest, the output was non-significant. But when I used the envfit function, some of the vectors are significant. All the test's conditions are respected. What it means? Is it an error in the script? Commands and output: > permutest(rda.ind, perm=999, first=TRUE) Permutation test for rda  Call:

Dear R developers, i have already send the question below to r-help but got no responses. Perhaps it is more suitable for r-devel due to its rather technical level. It would really help me to find a solution (or to find out that there is none). Is there any way to access/print/save the content of an environment in which an error occoured? Imagine the following testcase: test =