similar to: R-2.6.1 is released

Tested in R 2.8.1 Windows > ff <- formals(function(x)1) > ff1 <- as.list(function(x)1)[1] # ff1 acts the same as ff in the examples below, but is a list rather than a pairlist > dput( ff , control=c("warnIncomplete")) list(x = ) This string is not parsable, but dput does not give a warning as specified. > dput( ff ,

Full_Name: Antonio, Fabio Di Narzo Version: 2.6.1 OS: linux Submission from: (NULL) (213.140.16.187) In 'outer' man page, there is no mention of the Vectorize function. Moreover, I think it isn't underlined enough that the FUN argument to 'outer' must be a vectorized function (doc speaks about a function which has to 'operate elementwise'). A cross-reference from

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

In Windows, Tcl/Tk programs running under the tcltk package can update too frequently: for exmaple, we might go through a long sequence of operations to construct a complex display, and in Windows each addition will be shown separately. To work around this, I've added a function "tclServiceMode" which serves as an R interface to the "Tcl_SetServiceMode" function in the

Dear R developers, these days I'm working on some R code for fitting completely generic Bayesian Hierarchical Models in R, a la OpenBUGS and JAGS. A key feature of OpenBUGS and JAGS is that they automatically build an appropriate MCMC sampler from a generic model, specified as a directed acyclic graph (DAG). The spirit of my (would-be) implementation is instead more focused on experimentation

(Moved from r-devel to r-bugs) On 3/24/2006 5:03 AM, Antonio, Fabio Di Narzo wrote: > Hi all. > There's a bug in plot.acf, when plotting acf for multivariate time series. > Here a reproducible example: > > X <- rnorm(1000) > Y <- -X + rnorm(1000, sd=0.6) > Z <- cbind(X,Y) > > In > acf(Z) > cross-correlation plot y-axis is limited to 0-1. But: >

Hi all. Currently, if you try: > lag.plot(1:10) you get superposed labels '1' and '10'. Things go worse in more extreme cases: x <- ts(1:10) x1 <- lag(x, 4) plot(x1, x) This is due to a mistake in plot.ts. My suggestion is the following really minimal patch to plot.ts: @@ -530,7 +530,7 @@ plot.ts <- text(xy, labels =

I've enconuntered this problem with the last cran version of geoR: > library(geoR) > day <- rep(1:2, each=5) > coords <- matrix(rep(runif(10),2), 10, 2) > data <- rnorm(10) > data[1] <- NA > as.geodata(cbind(coords, data, day), realisations=4) as.geodata: 1 points removed due to NA in the data Errore in as.geodata(cbind(coords, data, day), realisations = 4) :

This code gives an error: a <- ts(1:10, start=0, freq=10) b <- ts(1:10, start=1, freq=10) ts.intersect(a,b) This one works normally (and correctly): a <- ts(1:10, start=0) b <- ts(1:10, start=1) ts.intersect(a,b) Antonio, Fabio Di Narzo. P.S. How to switch off italian error messages to post on r-help? > version _ platform i386-pc-mingw32 arch i386 os

Hi all. I'm looking for robust ways of building lagged variables in a dataset with multiple individuals. Consider a dataset with variables like the following: ## set.seed(123) d <- data.frame(id = rep(1:2, each=3), time=rep(1:3, 2), value=rnorm(6)) ## >d id time value 1 1 1 -0.56047565 2 1 2 -0.23017749 3 1 3 1.55870831 4 2 1 0.07050839 5 2 2 0.12928774 6

Hi all. A statistical question. I have to estimate the variance of the sum: X(1) + X(2) + ...+ X(n) from an observed sample, where X(i) are *correlated* and not necessarly identically distributed. Someone can suggest a simple strategy (I hope by exploiting some already present R package) for obtaining such estimate from an observed vector X[1:n]? Tnx all, Antonio, Fabio Di Narzo.

Dear list, I've noticed that, when writing examples in an Rd file, you need to escape the '%' character, even if it is valid R code. I can see maybe this is the intended behaviour, but I found it a bit surprising, and leads to cryptic error messages from 'R CMD check'. The relevant section in the "writing R extensions" manual isn't clear on that point either. To

Hi guys. I recently stumbled on an unexpected behavior of R when using functions created in a loop. The problem is silly enough to me that I had hard time choosing a good mail subject, not talking about searching in the archives... After some experiments, I trimmed down the following minimal reproducible example: ####### makeF <- function(i) function() i fList <- list(makeF(1), makeF(2))

I am running R on a corporate Windows XP SP2 machine on which I do not have administrator privileges or access to most settings in Control Panel. R is installed from my limited user account. The version of the JVM I have installed is perhaps best described as antique: > system(paste("java -version"),show.output.on.console=T) java version "1.4.1" Java(TM) 2 Runtime

Hi all. I have a pure R programming question. Having a data.frame with a 'data' variable and some (>1) ID variables (either numeric or factors), I would extract a sequence of data values given a sequence of ID values. Here's an example. Build a dataset: n1 <- 5 n2 <- 2 v1 <- rep(factor(1:n1),2) v2 <- rep(1:n2,5) x <- rnorm(10) dat <- data.frame(x=x, v1=v1, v2=v2)

Dear all, I have noticed a little change in the behaviour of as.factor from R-2.2.1 to R-2.3.0, and can't find it in the NEWS. In R-2.3.0: > times <- 1:5 > class(times) <- "Date" > as.factor(times) [1] 1 2 3 4 5 Levels: 1 2 3 4 5 In R-2.2.1: > as.factor(times) [1] 1970-01-02 1970-01-03 1970-01-04 1970-01-05 1970-01-06 Levels: 1970-01-02 1970-01-03 1970-01-04

Dear all, I have noticed a little change in the behaviour of as.factor from R-2.2.1 to R-2.3.0, and can't find it in the NEWS. In R-2.3.0: > times <- 1:5 > class(times) <- "Date" > as.factor(times) [1] 1 2 3 4 5 Levels: 1 2 3 4 5 In R-2.2.1: > as.factor(times) [1] 1970-01-02 1970-01-03 1970-01-04 1970-01-05 1970-01-06 Levels: 1970-01-02 1970-01-03 1970-01-04

Dear R-developers, I'm experiencing a problem with having an example run under R 2.6.1 RC (downloaded and installed today, r43513), which does not occur on R 2.6.0: The new version of package relaimpo does list package survey under "Depends", and an example directly (i.e. not only from within a function of relaimpo) uses function svydesign from package survey. Package survey is

The Asterisk Development Team has announced the releases of: DAHDI-Linux 2.6.1 DAHDI-Linux 2.5.1 DAHDI-Tools 2.6.1 DAHDI-Tools 2.5.1 DAHDI-Linux-Complete 2.6.1+2.6.1 DAHDI-Linux-Complete 2.5.1+2.5.1 These releases are available for immediate download at: http://downloads.asterisk.org/pub/telephony/dahdi-linux http://downloads.asterisk.org/pub/telephony/dahdi-tools

The Asterisk Development Team has announced the releases of: DAHDI-Linux 2.6.1 DAHDI-Linux 2.5.1 DAHDI-Tools 2.6.1 DAHDI-Tools 2.5.1 DAHDI-Linux-Complete 2.6.1+2.6.1 DAHDI-Linux-Complete 2.5.1+2.5.1 These releases are available for immediate download at: http://downloads.asterisk.org/pub/telephony/dahdi-linux http://downloads.asterisk.org/pub/telephony/dahdi-tools