similar to: [newbie] storage/use of user's own functions?

Hi! I am running rsync 2.6.4 (on Debian sarge) and I am experiencing a strange behaviour. I am trying to create an identical filetree on the same filesystems with the single files being hardlinks to the source like this: rsync -vaH --progress --delete --stats --numeric-ids -x --link-dest=/path/to/filetree/ /path/to/filetree/ /path/to/current/ /path/to is one filesystem. This creates hardlinks

summary: e.g., how to replace '<query R for package=package_name>' in the following: for RSERVER in 'foo' 'bar' 'baz' ; do ssh ${RSERVER} '<query R for package=package_name>' done or is there a better way to script checking for an R package? details: For my work I need a few non-standard R packages. I do that work on 2 clusters. One uses

I'm attempting to refactor an R script that does a lot of plotting, among other things. Ideally I'd like to do something like setup # does pdf(...) for each part of input { plot(process(part)) } cleanup # does dev.off() but have problems: 1 I'm plotting to PDF, so everytime I dev.off() creates a new file, and I want everything in one file (as does my boss :-) 2 I'm

Is there packaged code to convert geographical coordinates (e.g., longitude, latitude, elevation) to Cartesian coordinates in 3-space? I can see how to do this using 1. a spherical-to-Cartesian conversion like pracma::sph2cart(tpr) http://cran.r-project.org/web/packages/pracma/ 2. a geographical-to-spherical conversion. This seems to involve (in roughly increasing order of difficulty or

Tom Roche Thu, 12 Jan 2012 11:56:25 -0500 >>> * I have access to the cluster [where I want to run R] configured >>> [in .ssh/config] such that I can `ssh t` from commandline. >>> 1 I can open an R file on the cluster with >>> `C-x C-f /t:/home/me/onlyOrigDN2.r` >>> from my laptop, and note the following >>> *Messages* >>> >

summary: Specifically, how does one do stack/FIFO operations in R? Generally, how does one code functions with side effects in R? details: I have been a coder for years, mostly using C-like semantics (e.g., Java). I am now trying to become a scientist, and to use R, but I don't yet have the sense of "good R" and R idiom (i.e., expressions that are to R what (e.g.) the Schwartzian

summary: how to convert a 3D array (as obtained from ncdf4::ncvar_get) to a dataframe suitable for use by lattice::levelplot(), e.g., levelplot(conc ~ lon * lat | lev, data = data.frame) details: I have atmospheric data in netCDF files specifying gas concentrations over a 3D space with dimensions longitude, latitude, and (vertical) level. I need to plot the data by level. Since there are

I would appreciate * guidance regarding translation of IDL routines to R, generally * assistance translating two IDL routines to R, specifically Why I ask: I'm slowly learning how to do atmospheric modeling. One language that has been been popular in this space is IDL http://en.wikipedia.org/wiki/IDL_(programming_language) which unfortunately is proprietary (not to mention butt-ugly, IMHO

summary: I can successfully ncvar_put(...) data to a file, but when I try to ncvar_get(...) the same data, I get > Error in if (nc$var[[li]]$hasAddOffset) addOffset = nc$var[[li]]$addOffset else addOffset = 0 : > argument is of length zero How to fix or debug? details: R code @ https://github.com/TomRoche/GEIA_to_NetCDF successfully (if crudely) uses R packages={ncdf4, maps, fields}

Wanting a commandline solution (for a problem detailed @ http://mailman.unidata.ucar.edu/mailing_lists/archives/netcdfgroup/2012/msg00279.html ) I turned to Rscript, and whacked out the q'n'd https://github.com/TomRoche/GEIA_to_netCDF/blob/master/netCDF.stats.to.stdout.r However it wasn't as quick as hoped, because I spent quite a bit of time figuring out how to pass the arguments.

summary: how to make image.plot print a subtitle between the title and the image, rather than under the image? details: I've got a project https://github.com/TomRoche/ioapi-hack-R that illustrates the use of (et al) the R packages {ncdf4, fields, M3} for processing and visualizing IOAPI data. The data being visualized consists of a series of layers (mostly representing emissions from a

How best to implement a decorator pattern in R? What I mean, why I ask: A group of ncdf4 users is trying to make it easier (notably for ourselves :-) to write correctly IOAPI-formatted netCDF. Since IOAPI http://www.baronams.com/products/ioapi/ decorates netCDF, one obvious way to do a package=ioapi is to decorate the netCDF API from package=ncdf4. E.g., to add a data variable (datavar) with

summary: how to structure an R file such that it can be both 1. used as a script via, e.g., (from OS commandline) $ Rscript foo.r bar=baz 2. imported and called as a function via, e.g. (from R commandline) > source('./foo.r) > foo(bar='baz') ? I'm looking for the 'R equivalent' of how python supports this usecase. details: As discussed in the thread beginning

Hi, i am using Rsync for making backups of a MySQL database. The MySQL files can be compressed about 1:10 and i want to make use of this fact. Rsync currently doesn't support saving files in a compressed state. I personally think this should be a feature for the filesystem (in the sense of "synchronised files") but currently there is no such filesystem for Linux available.

How to programmatically (i.e., without no or minimal handcoding) copy a netCDF file? (Without calling > system("cp whatever wherever") :-) Why I ask: I need to "do surgery" on a large netCDF file (technically an I/O API file which uses netCDF). My group believes a data-assimilation error caused a data variable to be corrupted in a certain way, so I'm going to

summary: image.plot-ing two sets of netCDF data, with the second derived from the first. First plots to PDF as expected (title, data, legend). Second plots the data and title, but abends before drawing the legend, with > Error in if (del == 0 && to == 0) return(to) : > missing value where TRUE/FALSE needed > Calls: plot.layers.for.timestep -> image.plot -> seq ->

summary: spatial data to be input to a regional-scale environmental model must (1) be converted to netCDF and then (2) "regridded" (cropped, projected, increased resolution). In a public git repository https://github.com/TomRoche/GEIA_to_NetCDF I have R code (with bash drivers) that does the conversion step, and plots the converted output, apparently correctly. However attempts to plot

r-help lattice adepts: I have a question which is somewhat geospatial, so I posted to r-sig-geo rather than here: https://stat.ethz.ch/pipermail/r-sig-geo/2012-November/016757.html > summary: How to overlay a geographical map on each panel in a lattice > (or Trellis), e.g., of levelplot's? Note I am not inquiring about > creating choropleth maps[,] which Sarkar 2008 covers quite

summary: I can display a lon-lat map on a lattice::layerplot, and I can display a Lambert conformal conic (LCC) map on a spam::image, but I can't display an LCC map on a lattice::layerplot. Example follows. What am I doing wrong? details: I've been using `lattice` (via `rasterVis`) successfully to display global atmospheric data, which works well enough (though I am definitely intrigued

summary: updating R .deb's from recommended mirrors @ http://cran.r-project.org/mirrors.html has allowed me to keep my R version up-to-date for many months. But since Friday (25 Jan) I get errors like Failed to fetch <mirror URI/>/squeeze-cran/<deb name/>: Hash Sum mismatch but can install .deb's from non-CRAN sources. No fix from sudo rm /var/cache/apt/pkgcache.bin sudo