similar to: nchar on factors

The documentation for is.atomic and is.recursive is inconsistent with their behavior in R 2.9.1 Windows. ? is.atomic ???? 'is.atomic' returns 'TRUE' if 'x' is an atomic vector (or 'NULL') ???? and 'FALSE' otherwise. ???? ... ???? 'is.atomic' is true for the atomic vector types ('"logical"', ???? '"integer"',

What is the recommended class for time of day (independent of calendar date)? And what is the recommended way to get the time of day from a POSIXct object? (Not a string representation, but a computable representation.) I have looked in the man page for DateTimeClasses, in the Time Series Analysis Task View and in Spector's Data Manipulation book but haven't found these. Clearly I can

I have two vectors, a and b. b is a text file. I want to find in b those elements of a which occur at the beginning of the line in b. I have the following code, but it only returns a value for the first value in a, but I want both. Any ideas please. a = c(2,3) b = NULL b[1] = "aaa 2 aaa" b[2] = "2 aaa" b[3] = "3 aaa" b[4] = "aaa 3 aaa"

Hi, Is nchar function knowingly slow in R? I'm doing some string formatting that requires multiple call to nchar, and nchar seems to be very slow. Experiment 1, pass nchar inside sprintf, and it takes 0.7 seconds > system.time(for (i in 1:10000) + str = sprintf('0005%020d', nchar(op)) + )[3] [1] 0.7 Experiment 2, get the length of op separately using nchar, and then pass

nchar(with(list(2),ls())) gives an internal error. This is of course a peculiar call (no names in the list), but the error is not caught cleanly. It is not clear from the documentation whether with(list(2)...) is allowable; if it is not, it should presumably give an error. If it is, then ls shouldn't have problems with the resulting environment. > qq <- with(list(2),ls())

In 2.8.1/Windows: According to ? : Details: For numeric arguments 'from:to' is equivalent to 'seq(from, to)' ... Value: For numeric arguments, a numeric vector. This will be of type 'integer' if 'from' and 'to' are both integers and representable in the integer type, otherwise of type 'numeric'.... The first claim

I recently traced a bug of mine to the fact that cumsum(s)[length(s)] is not always exactly equal to sum(s). For example, x<-1/(12:14) sum(x) - cumsum(x)[3] => 2.8e-17 Floating-point addition is of course not exact, and in particular is not associative, so there are various possible reasons for this. Perhaps sum uses clever summing tricks to get more accurate results? In some

Hi all, I have a puzzling problem related to nchar. In R 3.2.1, the internal nchar gained an extra argument (see https://stat.ethz.ch/pipermail/r-announce/2015/000586.html) I've been testing code using the package copula, and at home I'm still running R 3.2.0 (I know, I know...). When trying the following code, I got an error: > library(copula) > fgmCopula(0.8) Error in

On 05/10/2015 8:25 PM, Matt Dowle wrote: > > On Mon, Oct 5, 2015 at 4:57 PM, Duncan Murdoch <murdoch.duncan at gmail.com > <mailto:murdoch.duncan at gmail.com>> wrote: > > On 05/10/2015 7:24 PM, Matt Dowle wrote: > > Joris Meys <jorismeys <at> gmail.com <http://gmail.com>> writes: > > > >> > >> Hi all,

Malcolm, I tested the code on a clean R 3.2.0 session. Not even in RStudio, just to rule that out. > sessionInfo() R version 3.2.0 (2015-04-16) Platform: x86_64-w64-mingw32/x64 (64-bit) Running under: Windows 8 x64 (build 9200) locale: [1] LC_COLLATE=English_United Kingdom.1252 [2] LC_CTYPE=English_United Kingdom.1252 [3] LC_MONETARY=English_United Kingdom.1252 [4] LC_NUMERIC=C [5]

To test two environments for object equality (Lisp EQ), I can use 'identity': > e1 <- environment(local(function()x)) > e2 <- environment(local(function()x)) > identical(e1,e2) # compares object identity [1] FALSE > identical(as.list(e1),as.list(e2)) # compares values as name->value mapping [1] TRUE # (is there a

Tested in: R version 2.8.1 (2008-12-22) / Windows Recursive default argument references normally give nice clear errors. In the first set of examples, you get the error: Error in ... : promise already under evaluation: recursive default argument reference or earlier problems? (function(a = a) a ) () (function(a = a) c(a) ) () (function(a = a) a[1] ) () (function(a = a)

On Tue, Feb 10, 2009 at 10:11 AM, Duncan Murdoch <murdoch at stats.uwo.ca> wrote: > Stavros Macrakis wrote: >> On Tue, Feb 10, 2009 at 8:31 AM, Duncan Murdoch <murdoch at stats.uwo.ca>wrote: >>> The evaluator recognizes the context of usage and will get the >>> function for a function call.... >> Can you point me to chapter and verse in the language

I don't understand why nchar() gives different string lengths for vectors in a list than it does for vectors in a dataframe. Here's a snippet of code: > temp <- list(text=c("thug","jimbob","apple","thug"),numbers=1:4) > nchar(temp$text) [1] 4 6 5 4 > temp <- data.frame(temp) > nchar(temp$text) [1] 1 1 1 1 Could someone explain

I would propose to add " See also: `nchar' for counting the number of character in character vectors. " to the helpfile of length(), because it is rather difficult to find nchar() if one has only search terms as "length", "len", "strlen" in mind. Sincerly Wolfram Fischer

What is the 'idiomatic' way of writing a vectorized switch statement? That is, I would like to write, e.g., vswitch( c('a','x','b','a'), a= 1:4, b=11:14, 100 ) => c(1, 100, 13, 4 ) equivalent to ifelse( c('a','x','b','a') ==

I was surprised to find that df$a[1] is an order of magnitude faster than df[1,"a"]: > df <- data.frame(a=1:10) > system.time(replicate(100000, df$a[3])) user system elapsed 0.36 0.00 0.36 > system.time(replicate(100000, df[3,"a"])) user system elapsed 4.09 0.00 4.09 A priori, I'd have thought that combining the row and column

Those of you who track R development closely, will have noticed yesterday's commit of enhanced versions of nchar() and nzchar(). ------------------------------------------------------------------------ r68254 | maechler | 2015-04-23 18:06:37 +0200 (Thu, 23 Apr 2015) | 1 line Changed paths: M doc/NEWS.Rd M src/library/base/R/New-Internal.R M src/library/base/R/zzz.R M

Judging from the traffic on this mailing list, a lot of R beginners are trying to write things like assign( paste( "myvar", i), ...) where they really should probably be writing myvar[i] <- ... Do we have any idea where this bizarre habit comes from? -s

I was wondering what the criteria were for including books on the Books Related to R page <http://www.r-project.org/doc/bib/R-books.html>. (There is no maintainer listed on this page.) In particular, I was wondering why the following two books are not listed: * Andrew Gelman, Jennifer Hill, *Data Analysis Using Regression and Multilevel/Hierarchical Models*. (CRAN package 'arm') *