similar to: attaching directories in R?

Dear R makers and users. I summarize answers to my question. Thanks for your help. The conclusion seems to be that, in terms of performance with large datasets, Matlab=Octave > R > Splus5.1 > Splus5.0 but Matlab/Octave lack many of the stat functions of R/S, and, R does not have as many time-series functions as S+ (but see last message to r-announce by adrian.trapletti at

Dear R-users and R-developpers, I've not been able to find 3d graphics in R, like Splus spin() or brush(). Are there any that I've missed and/or is anybody working on implementing these type of functions? Thanks Dr. Agustin Lobo Instituto de Ciencias de la Tierra (CSIC) Lluis Sole Sabaris s/n 08028 Barcelona SPAIN tel 34 93409 5410 fax 34 93411 0012 alobo at ija.csic.es

Does anybody know if there are functions to: 1. Define a convex hull on a space with more than 2 dimensions? chull just works for a plane. 2. Numerically select elements within a given complex hull. Thanks! Dr. Agustin Lobo Instituto de Ciencias de la Tierra (CSIC) Lluis Sole Sabaris s/n 08028 Barcelona SPAIN tel 34 93409 5410 fax 34 93411 0012 alobo at ija.csic.es

I've tried to move objects from S to R. In S+, I use data.dump() and data.restore(). I've made a file all.dum using data.dump(ls()) in S+, but the R command load("all.dum") gives an error: > load("/jaz/all.dum") Error: restore file corrupted -- no data loaded Is there any way to pass my objects from S+ to R? Thanks Agus Dr. Agustin Lobo Instituto de Ciencias de

I would like to fit a model of the type Y = Xf + e where f are cover fractions (or percent cover). Therefore, I must constrain the fit to 1. sum(f) = 1 2. 0<= f <=1 How can I introduce these 2 constraints in a ML fit? Currently, I'm using nlregb and I'm using the "upper and low" keywords to set the bounds and use the following to ensure that sum(f) = 1: let's say

Agustin Lobo asks (and I interpolate in his question) > -----Original Message----- > From: Agustin Lobo [mailto:alobo at ija.csic.es] > Sent: Monday, 23 July 2001 7:45 AM > To: r-help > Subject: [R] lapply and for > > > Given a list as such: > > > milista > $"1": > [1] 23 25 11 > > $"2": > [1] 34 2 > >

-----Forwarded Message----- > From: Ernesto Jardim <ernesto at ipimar.pt> > To: Agustin Lobo <alobo at ija.csic.es> > Subject: Re: [R-gui] NEdit Highligth patterns for R > Date: 10 Oct 2002 14:36:24 +0100 > > Hi > > You have to install the *.pats file. > > Use > > nedit -import R-5.1.pats > > then "save defaults". > > If

Thanks for your help on moving files from S+ to R and on attaching directories. If attaching directories is NOT possible in R, is there any other way to separate objects into different folders or something similar? For example, to keep user functions for multivariate analysis in a different "place" than user functions on time series, or to keep data objects of project_1 in a different

Thanks for your help on moving files from S+ to R and on attaching directories. If attaching directories is NOT possible in R, is there any other way to separate objects into different folders or something similar? For example, to keep user functions for multivariate analysis in a different "place" than user functions on time series, or to keep data objects of project_1 in a different

Hi! I have a 3d array: > dim(ib5km15.dbc) [1] 190 241 19 and a set of positions to extract: > ib5km.lincol.random[1:3,] [,1] [,2] [1,] 78 70 [2,] 29 213 [3,] 180 22 Geting the values of a 2D array for that set of positions would be: > ima <- ib5km15.dbc[,,1] > ima[ib5km.lincol.random[1:10,]] but don't find the way for the case of the 3D array: >

Saving lda.default as text files from within gui="none" and from within gui="gnome" and comparing afterwards with diff, I get: alobo at humboldt:> diff lda.default.gnome.txt lda.default.nognome.txt 1c1 < function (x, grouping, prior = proportions, tol = 1, method = c("moment", --- > function (x, grouping, prior = proportions, tol = 1e-04, method =

I'm trying to export an R (1.4.0 on linux) matrix to python (+Pyclimate) via a binary file. The problem is that while R writes by columns, python reads by rows. For a 2D matrix, there is no problem: writeBin writes vectors, so writeBin(t(x)[1:length(x)],...) works fine. But the objects I want to export are 3D arrays (slice rasters of lat,lon for each time t). One way is to use a loop over

Hi! I'm upgrading to 1.6.2. (linux suse7.3). I see that there is a patch in R-release.diff.gz. 1. Is this patch stable? In other words, is it adviced that I install R-release.diff.gz ? 2. When I do: zcat R-release.diff.gz | patch -p1 -E I get many lines such as: patching file AUTHORS Reversed (or previously applied) patch detected! Assume -R? [n] Should I just accept the default

I'm geting ready to compile and install R-1.5.1 (R-patched_2002-07-15.tar.gz) on Linux (Suse 8.0, 2 AMD proc., ATLAS libs installed). My current version is R.1.4.0 I'd like to get advice on two doubts: 1. Is it better that I remove my current /usr/lib/R directory? 2. Regarding ATLAS, the R-1.5.1 R-admin manual states : "This is currently not supported. The problem is that SIGINT

I'd appreciate advice on the following: I've written an R function that uses 3 vectors (temperature, precipitation and potential evapotranspiration) for a given site, calculates a water budget (which implies few (<4) iterations), and, from thresults of this water budget, calculates a number of bioclimatic indices. Now I want to calculate these indices for a large number of sites

I'm attaching an small text file on "Getting your stuff organized in R". (Sorry if sending an attachment is not considered a correct etiquette in r-help, but this is only 7911 bytes, plain ascii text and I cannot post it in a web page at the moment). Probably all the information in this document is scattered in one or more R introduction guides, but I think that it is useful to have

I've found the following and I'm kind of confused: > summary(delme) Min. 1st Qu. Median Mean 3rd Qu. Max. 1 2950 5699 5756 8572 11680 > range(delme) [1] 1 11675 summary() and range() give different Max. value for the same vector! Agus Dr. Agustin Lobo Instituto de Ciencias de la Tierra (CSIC) Lluis Sole Sabaris s/n 08028 Barcelona SPAIN tel

I'm experiencing segmentation faults from time to time that abruptely end my R sesion. In such cases, is there any way to recover the work done? (i.e., is there any temporal file that I could use?) Thanks Agus Dr. Agustin Lobo Instituto de Ciencias de la Tierra (CSIC) Lluis Sole Sabaris s/n 08028 Barcelona SPAIN tel 34 93409 5410 fax 34 93411 0012 alobo at ija.csic.es

Hi! I'm writing down the methods that I used to migrate from Splus to R and expand a bit the R docs for this subject. Prior to send these notes to the FAQ curator I would like to make sure on the following: Given an ascii text file with several functions (i.e., myfuncs.txt), is there any equivalent to load(), so that the functions become usable in R? Or is it necessary to install it as a

I have the following problem: I have a vector x of data (0<x<=1 ) with a U-shaped histogram and try to fit a beta distribution using fitdistr. In fact, hist(rbeta(100,0.1,0.1)) looks a lot like my data. The equivalent to the example in the manual sometimes work: > a <- rbeta(100,0.1,0.1) > fitdistr(x=a, "beta", start=list(shape1=0.1,shape2=0.1))1) > shape1