similar to: Size of an object in workspace

Why will the following command not work sapply(objects(),dim) What does it say about the objects list? What does it say about the dim command? Likewise, the following also does not work all<-ls() for (f in all) print(dim(f)) -- Farrel Buchinsky [[alternative HTML version deleted]]

Does R provide a function analogous to LS() or str() that reports the storage space, on disk or in memory, required by objects? Ben Fairbank

I was a bit puzzed by: > formatC(6.65,format="f",digits=1) [1] "6.6" So I experimented and found: > formatC(6.6500000000000001,format="f",digits=1) [1] "6.6" > formatC(6.650000000000001,format="f",digits=1) [1] "6.7" > round(6.6500000000000001,1) [1] 6.7 > round(6.650000000000001,1) [1] 6.7 > version

As a sequel to my previous mail on cut, formatC does not produce what I have been taught is significant digits: > x <- c(1.0793,1.0796, 11.0954, 11.0736 ) > formatC(x,digits=3,format="g") [1] "1.08" "1.08" "11.1" "11.1" (3,3,3,3) significant digits OK > formatC(x,digits=3,format="f") [1] "1.079"

Hello R users -- If I have a dataframe such as the following, named "frame" with the columns intended to be named col1 through col6, > frame col1 col2 cmlo3 col4 col5 col6 [1,] 3 10 2 6 5 7 [2,] 6 8 4 10 7 1 [3,] 7 5 1 3 1 8 [4,] 10 6 5 4 9 2 and I want to correct or otherwise change the

> Date: Fri, 26 Feb 1999 09:59:39 +0000 > From: Bendix Carstensen <bxc at svs.dk> > When you require 2 digits you expect to find 5.96 printed Correction, _you_ expect! Very few computer programs do that. You cannot `require' two digits by options(digits=2): ?options says digits: controls the number of digits to print when print- ing numeric values. It is a

I've changed the heading because this really is another thread. I think it inevitable that there will, in the course of time, be other lists that are devoted, in some shape or form, to the concerns of practitioners (at all levels) who are using R. One development I'd not like to see is fracture along application area lines, allowing those who are comfortable in coteries whose

I would like to extract the names, modes [numeric/factor] and levels of variables needed in a data frame supplied as newdata= argument to predict.glm() Here is a small example illustrating my troubles; what I want from (both of) the glm objects is the vector c("x","f","Y") and an indication that f is a factor: library( splines ) dd <- data.frame( D =

A funny thing happened when I wanted a student of mine to install Brugs. Using the InstallPackages in the windows version, firts gives an erro, but trying again works flawlessly. R version is 2.7.0 on WinXP. Any explanation? Bendix Carstensen ______________________________________________ Bendix Carstensen Senior Statistician Steno Diabetes Center Niels Steensens Vej 2-4 DK-2820 Gentofte

I bogged down about half way through reading the Green Book, in part because it became increasingly difficult to understand how some of the ideas related to R, as opposed to S (which I have not used). Does any reader know whether there is a document that points out differences between S and R that would be helpful in reading the Green Book? Ideally, perhaps, I need a "crib sheet" to

Hi, Some try: > names(mi$xlevels) [1] "f" > all.vars(mi$formula) [1] "D" "x" "f" "Y" > names(mx$xlevels) [1] "f" > all.vars(mx$formula) [1] "D" "x" "f" When offset is indicated out of the formula, it does not work... Marc Le 07/03/2018 ? 06:20, Bendix Carstensen a ?crit?: > I would like

all.vars works fine, EXCEPT, it give a bit too much. I only want the regression variables, but in the following example I also get "k" the variable holding the chosen knots. Any machinery to find only "real" regression variables? cheers, Bendix library( splines ) y <- rnorm(100) x <- rnorm(100) k <- -1:1 ml <- lm( y ~ bs(x,knots=k) ) mg <- glm( y ~

Did not seem to reach Saikat DebRoy, this might be the forum. Bendix -----Original Message----- From: BXC (Bendix Carstensen) Sent: 24. november 2008 15:00 To: 'saikat at stat.wisc.edu'; 'stvjc at channing.harvard.edu' Subject: read.ssd It's always annoyed me that that read.ssd crashed on datasets with long variable names, but the other day a collegue of mine pointed out to

This is how I get the month names from within R: > mon <- rep(strptime("01/01/1952", format = "%d/%m/%Y"), 12) > mon$mon <- mon$mon + 0:11 > mnam <- months(mon, abbreviate = F) > mnam [1] "januar" "februar" "marts" "april" "maj" "juni" "juli" "august"

In version 2.8.1, running Rcmd check on the package foo would leave the file foo-manual.tex in the folder foo.Rcheck. But as of 2.9.0 only foo-manual.pdf and foo-manual.log are there. Is this intentional? Anyway it is inconvenient, because I would occasionally like to include the manual at the end of a set of exercises, and this was a convenient file to \input with a few select %'s added.

Running R : Copyright 1999, The R Development Core Team Version 0.90.1 (December 15, 1999) on NT 4.0 gives me problems with: win.metafile(file="./x.emf") x <- 1:100/7 plot(x,cos(x),type="n") lines(x,sin(x)) abline(v=0:15,h=-2:2/2,col=gray(0.8)) Only labels and titles on axes are in the file. No axes or lines of any kind. (I look at the file by inserting it in Word,

Greetings listeRs - Given a data frame such as times time1 time2 time3 time4 1 70.408543 48.92378 7.399605 95.93050 2 17.231940 27.48530 82.962916 10.20619 3 20.279220 10.33575 66.209290 30.71846 4 NA 53.31993 12.398237 35.65782 5 9.295965 NA 48.929201 NA 6 63.966518 42.16304 1.777342 NA one can use "transform" to

Tha handy thinb about the fig=TRUE option in Sweave is that you do not have to bother about filenames and starting and stpping the device. I want the the resulting LaTeX to look as: \begin{Schunk} \begin{Sinput} > x <- seq(-2 * pi, 2 * pi, 0.1) > plot(x, cos(x), type = "l", lwd = 4) \end{Sinput} \end{Schunk} \begin{figure} \includegraphics[width=0.6\textwidth]{xx-001}

Consider the following two specifications of a model: library( splines ) x <- 1:100 y <- rnorm( 100 ) w <- rep( 1, 100 ) A <- factor( sample( 1:2, 100, replace=T ) ) B <- factor( sample( letters[1:4], 100, replace=T ) ) summary( lm( y ~ ns( x, knots=c(30, 50, 70 ), intercept=T ):A - 1 + B ) ) summary( lm( y ~ ns( x, knots=c(30, 50, 70 ), intercept=T ):A - 1 + B:w ) ) The

I have an odd problem in building a package with only R-code in it. I have a package mainly used by myself which I last build under R 1.9.0. The operation system is Win2000 5.00.2195, Service Pack 3 When I do: c:\stat\r\rw2000\bin\Rcmd install --docs=normal --build --library=c:\stat\R\bxc\library c:\stat\R\bxc\library.sources\xx then after updating help pages I get: preparing package xx for