similar to: Re: trailing zeroes

Once you hae in stalled Guido's NT port of R it is nice and easy to install the add-on packages too. However, it would be nice to have links to the documentation of the functions in all the packages from the "All Installed Functions" html-page, and not have to go through each of the packages. Is there a utility somewhere to do this? Bendix \\\|///

We are using dbox with lz4 compression and dovecot-lda + sieve for delivery. Mail recieved: Mar 16 06:27:55 mail2 dovecot: lda(svs at example.com): sieve: msgid=<20160316032754.4C89D2C4 at rdbms.oldstable.office.example.com>: stored mail into mailbox 'INBOX' Around 08:14:00 user start his thunderbird with local filters. He found one mail without headers. Around that time user do

The function addmargins() adds margins to a table, but returns a matrix. But even after converted to a table the print.zero="." option of print.table() does not work: > x <- sample( 1:7, 20, replace=T ) > y <- sample( 1:7, 20, replace=T ) > tt <- table( x, y ) > tx <- as.table( addmargins( table( x, y ) ) ) > print( tt, zero.print="." ) y x 1 2

The function addmargins() adds margins to a table, but returns a matrix. But even after converted to a table the print.zero="." option of print.table() does not work: > x <- sample( 1:7, 20, replace=T ) > y <- sample( 1:7, 20, replace=T ) > tt <- table( x, y ) > tx <- as.table( addmargins( table( x, y ) ) ) > print( tt, zero.print="." ) y x 1 2

Hallo, I have a question concerning SVM regression in R. I intend to use SVMs for feature selection (and knowledge discovery). For this purpose I will need to extract the weights that are associated with my features. I understand from a previous thread on SVM classification, that predictive models can be derived from SVs, coefficiants and rhos, but it is unclear for me how to transfer this

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

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"

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

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

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,

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.

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

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

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"

Further to the discussion between Murray Jorgensen and Brian Ripley, it seems to me better to choose tabulations that will not come and bite you. Suppose your data are sligtly irregular, e.g. (for the sake of the argument): data( warpbreaks ) warpbreaks$variant <- rep( 1:5, len=54 ) attach( warpbreaks ) tb <- table( wool, tension, variant ) tb # in this case you would like to see: tp

Further to the discussion between Murray Jorgensen and Brian Ripley, it seems to me better to choose tabulations that will not come and bite you. Suppose your data are sligtly irregular, e.g. (for the sake of the argument): data( warpbreaks ) warpbreaks$variant <- rep( 1:5, len=54 ) attach( warpbreaks ) tb <- table( wool, tension, variant ) tb # in this case you would like to see: tp

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 =

[This turned into a bug report which will go to r-devel, so I have taken it off r-help.] Bugs reported here: (1) formatC's help page need some clarification. (2) formatC needs to treat modes "double" and "real" as equivalent. (3) format's help page or (preferably) format needs correction re the meaning of `digits' On Sun, 28 Feb 1999, Martin Maechler wrote: