similar to: Subdirectory 'data' contains no data sets.

Full_Name: David Pleydell Version: 2.2.1 OS: Debian Etch Submission from: (NULL) (193.55.70.206) There appears to be a conflict between the chol functions from the Matrix and the SparseM packages. chol() can only be applied to a matrix of class dspMatrix if SparseM is not in the path. with gratitude David > library(Matrix) > sm <- as(as(Matrix(diag(5) + 1), "dsyMatrix"),

Hello everybody, I Would like to get some help to plot together, Principal Components Analysis (PCA) and clusters. I am handling environmental data from 25 locations spread across 5 different ecosystems.When grouped into 5 clusters, locations from different ecosystems are arranged in the same group. So, I want to plot together PCA and Clusters, in a such way that locations belonging to the same

I am getting the following erro rmessage in ordistep. I have a number of similarly structured datasets using ordistep in a loop, and the message only occurs for some of the datasets. I cannot include a reproducible sample - the specific datasets where this is occur ing are fairly large and there are several pcnm's in the rhs of the formula. thanks for any pointers that may allow me to

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"

Hey all, I get a warning about an unsupported file type in the data directory during R CMD check (for R 2.13.1) if I use the save function to create an Rdata, but if I save the same object to a .rda file, no warning. Section 1.1.5 (pg 11 of the pdf) of the Writing R Extensions manual (2.13.1) appears to say that .Rdata files should be fine: " Data files can have one of three types as

I need to have all elements of a matrix multiplied by a weight before being post-multiplied by itself, as shown in the forst block of codes below. I can also multiply the matrix by the square root of the weight and then take the outer product. Actually, what I need is this. Denote each row of the matrix by a row vector as xi and each element of the weighting vector as wi. Then, I need the

Dear Developers, I've been struggling through writing R extension in C. I've been using an external pointer to store my data (please see sample below). I encountered a very weird erroneous behaviour: when I tried to use my external pointer to a structure holding several types of data, including SEXPs, I discovered that SEXPs change their types between returning from initialization

Colleagues: I am having trouble loading data from within .Rdata file within the environment of a function. That is, the following always loads to the global environment: f1 <- function() { load("mydata.Rdata") # compute with objects from mydata.Rdata. } I wish to load mydata.Rdata only within the function f1. Perhaps I have misunderstood

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, 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

hello, for my present project i need to use the data stored in a ca. 100mb stata dataset. when i import the data in R using: library("foreign") x<-read.dta("mydata.dta") i find that R needs a startling 665mb of memory! (in stata i can simply allocate, say, 128mb of memory and go ahead) is there anyway around this, or should i forget R for analysis of datasets of

I am the proud owner of a new laptop since my old one died the other day. Currently I have a dual-boot Windows 7 Home and Ubuntu 12.04 . I'll leave the Windows problems for another post. I know practically nothing about Linux so I am probably doing something stupid but ... at the moment I cannot seem read or write files in Ubuntu. I am not having any problem saving other documents to the

Hello - I would like to create a wrapper to the 'save' function in the base package, but have a small problem with the name of the object that is getting saved in the file. Below is a simple example illustrating my problem. ## BEGIN SAMPLE R CODE ################################################## ## Here is the wrapper for the save function

Hi, I have tried to follow the instructions in the ``save`` documentation and it doesn't seem to work (see below): mydata <- do.call(rbind, rep(iris, 10000)) con <- pipe("pigz -p8 > fname.gz", "wb"); save(mydata, file = con); close(con) # This runs R.utils::gunzip("fname.gz", "fname.RData", overwrite = TRUE) load("fname.RData") #

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

I frequently use Makefiles to manage routine data manipulations and repeated analyses where the "raw" data tend to change with time. With S/Splus, this has worked quite naturally, as long as I'm careful to use S object names that map directly to Unix/Linux filenames. For example, say I'm building a particular graphic (chart.ps) from a data.frame in S (mydata) that comes from an

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

Greetings, I wanted to add a dataset to a complete R package I am working on (the package cleanly installs and passes the R CMD check). The data (a matrix) was saved, and the save() image dragged to the /data folder, and is a .Rdata file. It can be read directly using load (see below), but now the R CMD check indicates "subdirectory data contains no datasets" and it won't load

Dear Listers, I got this message when compiling a package: * creating pgirmess-manual.tex ... OK * checking pgirmess-manual.text ... ERROR LaTex errors when creating DVI version. This typically indicates Rd problems. The message is quite explicit but I struggled a lot before understanding that the trouble comes from a single file "selMod.rd" among 44 topics. Even though I have

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