similar to: Problem with merge() (PR#1102)

### I got bit again by the same bugs I wrote about a year ago. ### The bugs are related to matrices and arrays of lists. ### 1. There is a clear inconsistency in how R handles two ### functionally equivalent statements. ### array() is able to take a list and create a matrix. ### matrix() is unable to create that matrix. > vector("list", 2) [[1]] NULL [[2]] NULL >

My conception of how NAMESPACE and methods in R-2.7.0 resolved a generic 'func' to a func-method was to search as follows: In 2.7.0: func --> NAMESPACE, including Imports: (and other details) --> .GlobalEnv, and eventually Depends: since these are on search() In R-devel it seems like func --> NAMESPACE, including Imports: (and other details) --> ?? but not

I'd like to have two packages with S4 classes with the same name but different implementation. To that end I create a package tmpA with setClass("A", representation=representation( x="numeric"), sealed=TRUE) setClass("B", representation=representation( x="numeric")) B <- function(...)

Dear R useRs, i have the following code to compute values needed for a contour plot ############################################################ "myContour" <- function(a, b, plist, veca, vecb, dim) { tmpb <- seq(0.5 * b, 1.5 * b, length=dim) tmpa <- seq(0.5 * a, 1.5 * a, length=dim) z <- matrix(0, nrow=dim, ncol=dim) for(i in 1:dim) { for(j in 1:dim)

Greetings all, I am getting this error that is driving me nuts... (not a long trip, haha) I have a set of files and in these files I want to calculate ttests on rows 'compareA' and 'compareB' (these will change over time there I want a variable here). Also these files are in many different directories so I want a way filter out the junk... Anyway I don't believe that this is

Dear R-help folks: Here is my platform: > version platform sparc-sun-solaris2.7 arch sparc os solaris2.7 system sparc, solaris2.7 status major 1 minor 5.0 year 2002 month 04 day 29 language R I have a

This is a follow-up on the discussion originally posted on the R-devel list ( http://tolstoy.newcastle.edu.au/R/e4/devel/08/06/1901.html ), as I have encountered the exact same issue mentioned in Martin's email. Here is a simplified version of my problem: ##================================================================= ## I created a package, say, "tmpA", with a NAMESPACE with

I have plots that were stored using recordPlot() in a fairly recent but pre-1.6.0 version of R that will not replayPlot() in R 1.6.0. The error message is Error in replayPlot(x) : invalid hex digit in color or lty The plots were stored in June (2002-6-14), each as an element of a list named 'rpl'. The version of R that was current then is what I used. At that time I was able to

It appears that julian() is in R-base, but julian.default() is in the chron package. > search() [1] ".GlobalEnv" "package:ctest" "Autoloads" "package:base" > julian(1:3,4:6,1991:1993) Error in julian(1:3, 4:6, 1991:1993) : no applicable method for "julian" > find('julian') [1] "package:base" >

For certain values, round.POSIXt(tm,'day') does not round to midnight as documented. The reason is that trunc.POSIXt() does not adjust the value of the isdst element. Assuming my assessment of the reason is correct, I have a potential solution to offer. Additional discussion is in bug report #1543. -Don > x <- c(as.POSIXct('2001-4-1 3:15'),as.POSIXct('2001-5-2

I have a file of R code which I source(). The code has this structure: repeat { ## check size of each of sixteen files ## if any of the file sizes has increased, then ## read the last 65 lines of all the files ## do a few computations, make a plot } With the intention of using Ctrl-C to manually break the loop when desired. I set this thing running yesterday afternoon, and

I have found that data imported from SAS using read.xport() in package foreign (installed recently) does not match the original data, when the data consists of character strings that are only one character long. Here is an example. ---- SAS commands to create the data ---- options nocenter; data foo; a='a'; b='bb'; length c d $2; c='c'; d='

I have written a set of functions for POSIXt objects that I would like to offer for consideration for use in base R. They augment and extend existing functions. Briefly, ## pretty.ct function(x,specs=pretty.ct.specs) ## round.ct function(x, tstr='1 min' ) ## axis.ct function(side,x,specs=NULL,...) ## parse.timeint function(dv) ## parse.tstr

[some de-capitalization of *SXP done manually by mailing list maintainer ; the originally was caught as potential spam. MM] I have a little R program that crashes with the message xmalloc: out of virtual memory The code has a repeat{} loop that watches the sizes of some files. When there's an increase it updates things by reading the last 65 lines of each file, doing some

I decided my earlier email on this topic was rather long and wordy; here's a condensed version. I am sitting at a Solaris computer in the US/Pacific timezone. I have a file of data having times that includes the following three values 2002-4-7 1:30:00 GMT 2002-4-7 2:30:00 GMT 2002-4-7 3:30:00 GMT I have not been able to find a way to correctly convert these to either of the POSIX

I was surprised when seq.POSIXt() returned a single value rather than a vector, from inputs that I thought were reasonable. Here's an example to illustrate: > t0 <- ISOdatetime(2002,6,24,0,0,10) ## expected a sequence of 16 times 1 second apart > seq.POSIXt(from=t0,to=t0+15,by='1 sec') [1] "2002-06-24 00:00:10 PDT" ## traces to this call >

I have asked this question before, and received some suggestions for work-arounds that get the job done--and they are much appreciated. But I would still like to find out if I'm missing something, and whether there is a direct way using POSIXt functions (as.POSIXct, as.POSIXlt, strptime, in particular). I have environmental data collected once per minute. Here is a subset of 3 input

Hi all. I have unexpected reshape results on datasets with certain variable names. Here a reproducible example: d <- matrix(seq_len(7*7), 1, 7*7) vnames <- c('acc','ppeGross','CF','ROA','DeltaSales','invTA','DeltaRevDeltaRec') varying <- unlist(lapply(vnames, paste, 1:7, sep='.')) d <- data.frame(d) names(d) <- varying

Hi, I noticed that paste and expression in the following manner does not produce the desired result. vnames=c("pi","y","delta") vx=vn=3 m=16 # mydata any matrix that takes for the following form mydata=array(somedata,c(m,vn,vx)) # producing plots for (j in 1:vx){ for (i in 1:vn) { plot(mydata, type="l", main=expression(paste("Effect of",

I'm trying to use Rprof() to identify bottlenecks and speed up a particullary slow section of code which reads in a portion of a tif file and compares each of the values to values of predictors used for model fitting. I've written up an example that anyone can run. Generally temp would be a section of a tif read into a data.frame and used later for other processing. The first portion