similar to: Date/time of formation of objects

Hi folks, Is there a function to show the size of an R object? eg. in Kbytes? Couple months ago Bendix Carstensen posted this marvelous little function lls(), which shows all objects in the current workspace by mode, class and 'size'. This is a wonderful enhancement to the build-in ls() already and I now have it sourced in my Rprofile.site at startup. The only drawback is,

Why will the following command not work sapply(objects(),dim) What does it say about the objects list? What does it say about the dim command? Likewise, the following also does not work all<-ls() for (f in all) print(dim(f)) -- Farrel Buchinsky [[alternative HTML version deleted]]

Dear R devel, Apologies for these (most probably trivial) questions, doing my first attempt to call C from R (and actually learning C in the process). I need to pass a matrix to C, and after reading R-exts.pdf (many times), I was unable to find how to handle matrices at C-level... except for, what probably is the answer, that matrices are in fact vectors with dimensions. This is a sample code I

Hello, I have a C++ code for 2D random walks with traps and I want to convert it in a R code with its syntaxs, can anyone help??????? It's easy for me to adapt the body but I want help with the beginig (variable declaration) and th end exporting the output to a file ( like write.table() or sink() ) Thank you... #include <iostream> #include <math.h>#include

Dear all, I am trying to learn lapply. I would like, as a test case, to try the lapply alternative for the Shadowlist<-array(data=NA,dim=c(dimx,dimy,dimmaps)) for (i in c(1:dimx)){ Shadowlist[,,i]<-i } ---so I wrote the following--- returni <-function(i,ShadowMatrix) {ShadowMatrix<-i} lapply(seq(1:dimx),Shadowlist[,,seq(1:dimx)],returni) So far I do not get same results

Hello everyone, I am using ggplot to plot but I am getting the following error which I do not understand Error: geom_text requires the following missing aesthetics: label My code is dimx<-256 library(ggplot2) dev.new() xandy<-expand.grid(seq(1:dimx),seq(1:dimy)) xx<-data.frame(xandy[[1]],xandy[[2]],Powermap=Powermap) subsetxx<-subset(xx, xx$Powermap>threshold)

I have an ordering and factor problem to which there must be a simple solution! The version is R 2.0.1 (2004-11-15) on A Linux platform. A data frame H is read in from a .csv file using read.csv with as.is=TRUE. Another data frame HN is constructed from data and I want to compare two columns both named ss of the (sorted) data frames that are the same length. The problem is that HN$ss is

I have the following associations. class Document < ActiveRecord::Base has_many :document_sections, :dependent => :destroy, :autosave => true has_many :document_items, :through => :document_sections end class DocumentSection < ActiveRecord::Base belongs_to :document has_many :document_items, :dependent => :destroy, :autosave => true end class DocumentItem <

Asterisk seems to be ignoring DTMF for features in Asterisk 1.4.0b3 My SNOM sends the dtmf-relay and Asterisk gets it because I can see it in the sip debug. However, once seen, Asterisk doesn't actually do anything about it. I've checked features and that seems fine. Is this a bug or something that I've screwed up? For the record, here's the features setting: asterisk*CLI>

Dear all, I am attempting to convert 10 NetCDF files into a single NetCDF file, due to the data input requirements of a model I hope to use. I am using the ncdf package, version 1.6. The data are global-scale water values, on a monthly basis for 10 years (ie. 120 months of data in total; at present the data are separated by year, with 12 months of data in each file - mrunoff_1986 through to

Dear all, I am attempting to convert 10 NetCDF files into a single NetCDF file, due to the data input requirements of a model I hope to use. I am using the ncdf package, version 1.6. The data are global-scale water values, on a monthly basis for 10 years (ie. 120 months of data in total; at present the data are separated by year, with 12 months of data in each file - mrunoff_1986 through to

Dear all As someone who leaves his R session open for days - even longer - because only I access the computer it is on, I very occasionally crash it (my most recent success was to use a very long plot() which it turned out have both 'l' and a 'b' without keyword!). I try to be careful, preserving essential bits of coding in an adjacent emacs screen and doing save.image() from

https://github.com/NV/chrome-devtools-autosave doesn’t play nice with Asset Pipeline. https://github.com/NV/chrome-devtools-autosave/issues/27 The culprit of the problem is in the asset’s URLs. I cannot decipher a file path by its URL. For instance, /assets/main.css?body=1 could be either app/assets/stylesheets/main.css, lib/assets/stylesheets/main.css or vendor/stylesheets/main.css. To fix

R developers, I have a first attempt to make an aov function. Eventually I want to build in Error() structure, but first I am trying to get this presentable for balanced data with only a single stratum, just using residual error. I am following R. M. Heiberger's Computation for the Analysis of Designed Experiments, Wiley (1989) I a using a wrapper (aov.bal) to call the

https://bugzilla.samba.org/show_bug.cgi?id=4873 Summary: rsync transfers stop when encountering Emacs autosave files with hash signs Product: rsync Version: 2.6.9 Platform: x86 OS/Version: Linux Status: NEW Severity: normal Priority: P3 Component: core AssignedTo:

This is a repost of the RCU patch I have posted some time ago. The only change from the previous post, was to move it to a more recent version of xen-unstable (changeset 13386). I am planning to submit the following additional patches, after this one is accepted: 1) rename_find_domain.patch: Rename find_domain_by_id() to get_domain_by_id() 2) add_find_domain.patch: Add new

This is a repost of the RCU patch I have posted some time ago. The only change from the previous post, was to move it to a more recent version of xen-unstable (changeset 13386). I am planning to submit the following additional patches, after this one is accepted: 1) rename_find_domain.patch: Rename find_domain_by_id() to get_domain_by_id() 2) add_find_domain.patch: Add new

Dear All, Can anyone please let me know how exactly ncdf deals with NaN. I am trying to pass in a vector of data that has some NaN in it, into a variable in NetCDF. dimX <- dim.def.ncdf("X","count",(1:6)) dimY <- dim.def.ncdf("Y","count",(1:3)) var1 <-

> The above question still stands, but otherwise, I overlooked the most > obvious solution: > > dim_1 <- function(x) dim(x) > > Unit: nanoseconds > expr min lq mean median uq max neval cld > dim(x) 0 1 72.941 1 1 2696 1000 a > base::dim(x) 11549 13474 15105.950 14245 15399 60824

Hello everyone. I would kindly request your help concerning how R converts data between different structrures. In the following example please keep attention on the following two 1) I create f <- GaussRF(x=x, y=y, model=model, grid=TRUE,param=c(mean, variance, nugget, scale, alpha)) with image(x,y,f) and image(f) I get exactly the same image. then 2)I try to store f inside a raster