similar to: Getting error message using R: Please help (it's coursework due in on Friday)

Hola, tengo que leer más de 2000 ficheros en un programa largo de estimación sobre imágenes médicas, con una estructura como ésta: desde "IM-0005-0001.dcm" hasta "IM-0005-2021.dcm" Si hago esto: ui <- NULL for (i in 1:8){ ui[i] <- paste("IM-0005-", i,".dcm", sep="") } ui Obtendría: [1] "IM-0005-1.dcm"

Dear R Helpers, Currently I'm working with the ts package of R and created a TimeSerie from pixels extracted from satellite imagery(S10 NDVI data, 10 daily composites). I'm trying to decompose this signal in different signals (seasonal and trend). When testing out the STL method is says => Only univariate timeseries are allowed, but the current Timeserie I'm using is univariate!

Hello guys, I get the following error whenever i try to check if the following pass exists. I am using Mac OSX leopard and gcc4 opt -load ../Release/lib/LLVMHello.dylib -hello Error opening '../Release/lib/LLVMHello.dylib': dlopen(../Release/lib/LLVMHello.dylib, 1): Symbol not found: __ZN4llvm12FunctionPass11runOnModuleERNS_6ModuleE Referenced from:

Hi list, Is there a configuration for gluster to have symlinks working with gluster nfs exports? When I try to create a symlink on a glusterfs nfs mount I get: ln: creating symbolic link `test' to `httpdocs': Unknown error 526 From nfs.log: [2012-02-18 01:27:27.541155] E [client3_1-fops.c:173:client3_1_symlink_cbk] 0-dcm-gluster-backup1-client-0: remote operation failed: Operation not

Is there any way to give a "decent" title after I plot something generated by decompose? For example: # generate something with period 12 x <- rnorm(600) + sin(2 * pi * (1:600) / 12) # transform to a monthy time series y <- ts(x, frequency=12, start=c(1950,1)) # decompose z <- decompose(y) # plot plot(z) Now, the title is the ugly "Decomposition of additive time

Greetings, For the following quarterly data I did a classical decomposition by hand in a spreadsheet and got reasonably similar results using Minitab 15. x 1 36 2 44 3 45 4 106 5 38 6 46 7 47 8 112 9 42 10 49 11 48 12 118 13 42 14 50 15

I just got this error: > library(igraph) > comp <- decompose.graph(gr) Error: protect(): protection stack overflow Error: protect(): protection stack overflow > what can I do? the digraph is, indeed, large (300,000 vertexes), but there are very many very small components (which I would rather not discard). PS. the doc for decompose.graph does not say which mode is the default. --

Hi, Richard, Your decompose vector patch works perfect on my site. Unfortunately, I still get stupid code because llvm '-dse' fails followed by 'decompose-vector' . I read the DSE code and it is definitely capable of eliminating unused memory stores if its AA works. I don't think basic AA works for me. I found my program have complex memory accesses, such as bi-dimentional

Dear R Users, I am doing stats::decompose() on 4 different time series. When I issue csdA <- decompose(tsA) plot(csdA) I get a summary plot for observed, trend, seasonal and random components of decomposed time series tsA. As I understand it, the object returned by decompose() has it's own plot method where mfrow(4,1) etc. is defined. Now suppose I wanted to wrap those mfrow(4,1) into

Liu Xin <navy.xliu at gmail.com> writes: > Your decompose vector patch works perfect on my site. Unfortunately, I > still get stupid code because llvm '-dse' fails followed by > 'decompose-vector' . > I read the DSE code and it is definitely capable of eliminating unused > memory stores if its AA works. I don't think basic AA works for me. I > found

i am new to time series,whatever i know up till now,from that i have uploaded time series file & what to build arma model,but for that i want p & q values(orders) tell me how to calculate best p & q values to find best AIC values for model i am doing but giving error >bhavar<-read.table(file.choose()) #taking time series file > decompose(bhavar$V1) Error in

Hi, I have a dataframe (try.1) with  date/time and temperature columns, and the date/time is in POSIXct fomat. Sample included below. I would like to to try decompose () or stl() to look at the trends and seasonality in my data, eventually so that  I can  look at autocorrelation.  The series is 3 years of water temperature with clearly visible seasonal periods. Right now, if I try decompose,

Dear R People: In the function "decompose", the object has the class of "decomposed.ts". (from package stats) I would like to see the class definition and the method for the plotting. However, when I use isClass("decomposed.ts") I get "FALSE". When I check getMethods("plot") there is no method for plot on decomposed.ts Any suggestions,

Hi R users, I have a time series variable that is only available at a monthly level for 1 years that I need to decompose to a weekly time series level - can anyone recommend a R function that I can use to decompose this series? eg. if month1 = 1200 I would to decompose so that the sum of the weeks for month1 equals 1200, etc.. Many thanks in advance for any help. -- View this message in

Hi there, I'm using asterisk meetme function like: exten => 9070,n,MeetMe(|dcM) and everything works pretty well. But I would like to add a review of the entered conference number before the user jumps into the conference. Somthing like: *:"Please enter the conference number followed by the hash key" (works) U: 123456# (works) *: "You are entering conference number

Hi I have a table called active and another one called authreg I did a one to one relation but it turns out that one of this legacy database column name has an hyphen!!! "-" now im screw how can I tell rails to use it? or make an alias of some sort like with table names.? @active = Active.new( :collection-owner => authreg.username, :time =>

Hello, I'd like to know how R does calculate each component in the decompose() function? More precisely, how is calculated the final trend component in this function? Thanks for your answer Myriam -- View this message in context: http://www.nabble.com/Decompose-function-%3A-calculation-of-each-component-tp24362207p24362207.html Sent from the R help mailing list archive at Nabble.com.

Hello all, I'd like to announce the availability of a mailing list for a newly-formed SIG (Special Interest Group) dedicated to using R for Discrete Choice Modelling. This list is intended for discussion of issues revolving around the design and analysis of Discrete Choice (aka Stated Choice, Stated Preference or Choice-Based Conjoint) experiments. While R has good infrastructure for

Liu Xin <navy.xliu at gmail.com> writes: > Hi, LLVM community, > > I write some code in hand using LLVM IR. for simplicity, I write them in <4 > x float>. now I found some stores for elements are useless. > > for example, If I store {0.0, 1.0, 2.0, 3.0} to a <4 x float> %a. maybe > only %a.xy is alive in my program. our target doesn't feature SIMD >

Hi, There is reported bug about this (#2771), or at least related. http://llvm.org/bugs/show_bug.cgi?id=2771 Though it seems there is no "proper" solution known so far. The workaround is to use 'opt' from the Release/bin directory In your case: ../Release/bin/opt -load ../Release/lib/LLVMHello.dylib -hello Would probably work. Best regards Vlado > Hello guys, > >