similar to: Fishers exact test

i have been trying to get this to work for a while now. my controller is sort = [ Ferret::Search::SortField::SCORE_REV ] @results = Record.multi_search(params[:search_terms], [ Link, Post, Event ], {:limit => :all, :sort => sort }) and in my view i just render a conglomeration of the appropriate partials for each model. it seems that no matter what i do, i can''t get the

Soemthing goes wrong with this mail list: I am getitng something like it: >Sorry. Your message could not be delivered to: >Aster risk (Mailbox or Conference is full.) ?????????? Regards, Corvin

Hi everyone, is there a way/package in R that would allow me to select a group of points from a scatterplot by drawing a circle around them or some such? I can use 'identify' to pick individual points, but that gets tedious if one has more than 10-20 spots. I can easily select spots within a rectangle defined by picking points using identify... but a simple rectangle sometimes will

In an effort to select the most appropriate number of clusters in a mixture analysis I am comparing the expected and actual membership of individuals in various clusters using the Fisher?s exact test. I aim for the model with the lowest possible p-value, but I frequently get p-values below 2.2e-16 and therefore does not get exact p-values with standard Fisher?s exact tests in R. Does anybody know

I originally built my Asterisk server without installing the Zaptel package as it was going to be a purely SIP based system. However when I went to setup conferencing using meetme I found out that app_meetme is dependant on the ztdummy for timing. I have now installed the zaptel package and I believe the ztdummy module is loading ok [root@astro asterisk-1.4.0-beta2]# lsmod Module

Dear R users, I have noticed that my R startup is extremely slow. It takes almost 3 minutes from "double-click" to R prompt. I have been running R-0.64.1 till recently and it took about 30 sec. I still have access to R-0.64.1. When I started it up, it took about 25 sec. Can anyone tell me if this is a bug in R or a problem with my machine? Note: This is after bootup with R being the

From: Erik de Castro Lopo <mle+la at mega-nerd.com> >To: flac-dev at xiph.org >Cc: Josh Coalson <xflac at yahoo.com> >Sent: Wednesday, April 25, 2012 4:42 PM >Subject: Re: [flac-dev] [Flac-dev] Git branch with compiling fixes for win32 > >Josh Coalson wrote: > >> But regardless of submitter, any patch that affects encoding must be >> reviewed very

Dear R-Help, I am trying to run the following: apply(Data,1, fit-non-linear-curve) where fit-non-linear-curve() is a bootstrapping procedure that uses the nls() function. Unsuprisingly there are some lines in the Data for which the nls() procedure fails, probably due to bad starting values. How do I make R just give up on that particular line of Data and carry on? I am using R 0.99 on

My group is working with datasets between 100 Mb and 1 GB in size, using multiple log ins. From the documentation, it appears that vsize is limited to 2^30-1, which tends to prove too restrictive for our use. When we drop that restriction (set vsize = NA) we end up hanging the server, which requires a restart. Is there any way to increase the memory limits on R while keeping our jobs from

I am running R version ??? under Redhat 5.2. It seems as though the --nsize object has no effct on the size of the allocated Ncells as determined using gc(). Yes, I have that much data.... That is if I envoke R with R --vsize 100 --nsize 5000000 then type gc() I get free total Ncells 92202 200000 Vcells 12928414 13107200 Thanks Tony Long Ecology and Evolutionary Biology Steinhaus

Dear R-ers, somehow it is not possible to increase nsize to more than 20000k. When I specify e.g. > R --vsize=10M --nsize=21000K the result is: free total (Mb) Ncells 99658 350000 6.7 Vcells 1219173 1310720 10.0 Maybe I have overlooked s.th.... Marcus -- +------------------------------------------------------- | Marcus Eger | E-Mail: eger.m at gmx.de (NEW) |

Dear all, I don't get it: First of all, the help doesn't say what are the memory limits of R. Say, what's the max heap size for instance ???? Secondly, I invoke R with the following commands each time: rgui --vsize 30M --nsize 1000K rgui --vsize 30M --nsize 2000K rgui --vsize 30M --nsize 3000K rgui --vsize 30M --nsize 4000K I try to open a matrix 8000x8000 by issuing

Hi all I am having some trouble using the ext2online utility, I have reduced the problem down to its simplist form, and it goes soemthing like this: Start with a regular msdos labelled disk (I have tried lvm volumes): Command (m for help): p Disk /dev/sdb: 18.3 GB, 18351967232 bytes 64 heads, 32 sectors/track, 17501 cylinders Units = cylinders of 2048 * 512 = 1048576 bytes Device Boot

I have a dataframe of 25 columns and 100,000 rows called ?testdf?. I wish to build a new dataframe, with 14 columns and 100,000 rows. I wish the new dataframe to have the ?trailing 12 column? mean. That is, I want column 1 of the new dataframe to have soemthing like: ?( mean(testdf[,1:12],na.rm=T)? What is the best way to accomplish this?

Martin M has suggested I widen this discussion to R-devel, and > I agree that we should increase them, > but I'm not sure at all about the amount. > > The default could even depend on the architecture (via "./configure").. Views, please. ------------- Begin Forwarded Message ------------- Is is not time we increased the defaults a bit? As the base gets bigger I hit

I am trying to translate code from S-PLUS to R and R really struggles! After starting R with the foll. R --vsize 50M --nsize 6M --no-restore on a 400 MHz Pentium with 192 MB of memory running Linux (RH 6.2), I run a function that essentially picks up an external dataset with 2121 rows and 30 columns and builds a lm() object and also runs step() ... the step() takes forever to run...(takes very

Hi everyone, I have a problem that some people may have already encountered but i did not find the solution yet. As I use R to simulate several arrays of data, my workspace is now 35Mb big and I cannot launch R with it. An "xdr real data read error occured" and R tells me to delete .RData or increase memory. I WON'T delete this file and changing the max-nsize to 40600k did not

Hi, Is the following command used to increase the memory or any other command when a background R job is run? R --min-vsize=vl --max-vsize=vu --min-nsize=nl --max-nsize=nu --max-ppsize=N source: http://stat.ethz.ch/R-manual/R-patched/library/base/html/Memory.html Thx Carol [[alternative HTML version deleted]]

G'day R friends, I didn't get any replies on the main list so I thought I'd try with the experts. I was wondering if anyone's ported R to os390. If so, are the vsize and nsize limits the same as other platforms? I could really annoy those SAS guys then. thanks, John Strumila john.strumila@team.telstra.com

Let me begin stating that I read all help files and faq's on the subject matter (there aren't more than about a dozen) but either did not find solutions or found them not to work. Here is the issue. I am trying to run a spatial regression on a medium-sized dataset. Part of the functions in the spdep package I use require me to allocate a vector of 1.1 Gb (mine is not a spatial SIG