similar to: "too large for hashing"

Hello, I have searched and failed for a program or script or method to conduct a power analysis for a MANOVA. My interest is a fairly simple case of 5 dependent variables and a single two-level categorical predictor (though the categories aren't balanced). If anybody happens to know of a script that will do this in R, I'd love to know of it! Otherwise, I'll see about writing one

Hello, I just had a lot of trouble compiling a version of R which uses a recently-compiled version of ATLAS and LAPACK. ATLAS and LAPACK compiled correctly and installed fine and passed all of their checks (and yes, I did compile them all with -fPIC as is required for R). This was my initial configure line: ./configure --with-x --enable-threads=posix --with-blas="-L/usr/local/lib

Dear colleagues, I run R on a few different machines, and view graphs and the like by tunnelling X through SSH to my local machine. This is useful for me because my local machine can't easily handle some of the data sets I work with. However, when an ssh connection dies, the tunnelled X session also dies, which breaks R's device connection, generating this error: > Error: X11

I am new Ruby on Rails, so excuse me if my question seems pretty obvious. I am trying to validate uniqueness of a filed: class EventType < ActiveRecord::Base belongs_to :sport validates_uniqueness_of :event_type end When I run it, I get this error message: Showing /event_type/new.rhtml where line #27 raised undefined method `each'' for nil:NilClass <select

This is what I would like to do and it works just fine. Is there a way to shorten this code so I don't have to subset a subset of a subset? d<-subset(subset(subset(subset(x, River.Mile<=202), River.Mile>3), Lagrangian=="Yes"), EventType=="Regular") Stephen -- Let's not spend our time and resources thinking about things that are so little or so large that

Hi everybody, I'm trying to construct contrasts for an ANOVA to determine if there is a significant trend in the means of my groups. In the following example, based on the type of 2x3 ANOVA I'm trying to perform, does the linear polynomial contrast generated by contr.poly allow me to test for a linear trend across groups? doi=data.frame( Group=c( rep(1, 5), rep(2, 5), rep(3, 5),

Dear Colleagues, I've been searching for a post or article or something which explains why having na.rm=FALSE or na.action=na.fail as the default is a better choice than TRUE or na.omit. I understand the basic argument: it does not make sense to average a nonexistance into an aggregate, and removing them implicitly leads to accidental pairwise deletion in some cases, and sum(x) /

Hello, I'm using a very large data set (n > 100,000 for 7 columns), for which I'm pretty happy dealing with pairwise-deleted correlations to populate my correlation table. E.g., a <- cor(cbind(col1, col2, col3),use="pairwise.complete.obs") ...however, I am interested in the number of cases used to compute each cell of the correlation table. I am unable to find such a

Dear Colleagues, Occasionally I deal with computer-generated (i.e., websurvey) data files that haven't quite worked correctly. When I try to read the data into R, I get something like this: Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : line 26 did not have 648 elements ...is there any way to get R to tell me how many elements line 26 *did* have? That

Dear Colleagues, Apologies for a long email to ask what I feel may be a very simple question; I figure it's better to overspecify my situation. I was asked a question, recently, by a colleague in my department about pre-aggregating variables, i.e., computing the mean of defined subsets of a data frame. Naturally, I thought of the 'by' and 'tapply' functions, as

Adam, It seems that your attachment didn't make it through. That aside, my experience with strange errors like those (random type not implemented ones) has been that you may be looking at a memory problem on you machine. Given that you can't replicate on another platform (and the .csv file didn't come through), I would think it wise to start there. My 2c. And I love bacon too :)

This message is in MIME format. The first part should be readable text, while the remaining parts are likely unreadable without MIME-aware tools. --1660387551-1458482416-1249639718=:2997 Content-Type: TEXT/PLAIN; CHARSET=US-ASCII; FORMAT=flowed Content-ID: <Pine.LNX.4.64.0908071039211.2997 at parser.ilovebacon.org> Hello, There appears to be a bug in the nlm function, which I

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Dear friends, Need to know filenames of conference recordings in Asterisk 11. Besides directory scanning the recordings could use CEL: Filter MySQL rows with eventtype equal CHAN_START and channame like ConfBridgeRecorder and then get the eventtime field and convert to timestamp to complete filename(s). Would you suggest any other approaches? Thanks. -------------- next part -------------- An

I am very new to R statistics. Have installed R-2.15.2 ; Rcmdr 1.9-2 ; RStudio 0.97.237 on Debian Squeeze and also windows7 I can Import from Excel File OK .Workbook <- loadWorkbook("/media/4C90-B739/Oct13-Dec21Bsl.xls") JJData <- readWorksheet(.Workbook, "Oct13-Dec21Bsl") remove(.Workbook) have a data frame with following. DATEEVENT

This message is in MIME format. The first part should be readable text, while the remaining parts are likely unreadable without MIME-aware tools. --1660387551-150661043-1249684349=:2997 Content-Type: TEXT/PLAIN; charset=iso-8859-1; format=flowed Content-Transfer-Encoding: QUOTED-PRINTABLE Hi Jeff, =09As mentioned in my message, I *did* replicate on another platform.=20 One platform was

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Dear colleagues, I've been running some principal components analyses, which generate tables of loadings that I'm interested in looking at. print(f1$rot$load,cutoff=.4) is what I use, and it gives me what I want. However, I'm now interested in comparing these loadings across a few data sets. In other words, I would like R to match the loadings on rownames() and display them next

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hi list, I'm trying to use CEL to display channel information in real time. It works fine for simple calls, blind transfers, or SIP attended transfers (initiated from the SIP phone). My problem is for Asterisk attended transfers (atxfer as configured in features.conf). The scenario is: . phone 107 calls phone 100, . 100 dials the atxfer code,

Dear colleagues, Has anybody any experience using the sem package to fit structural equation models using a fitting function other than ML? I have heard tell that OLS may provide better estimates when using standardized matrices generated from small sample sizes, so I was interested in comparing the two for a few models. However, ML appears to be hard-coded into the source for sem...but maybe