similar to: plus/minus +/- in factor; not plotmath not expression

Hi R people! :-) I am printing a table of percentages (P) and their 95% confidence interval half-widths (CI). I would like to (i) create a character string of P and CI that has the plus/minus character to the left of CI, then (ii) use write.csv to save that file with the P, CI and the special plus/minus character. I poured over the r-help archives and did not find advice on this. That

Dear list, I read in ?plotmath that I can use bgroup to draw scalable delimiters such as [ ] and ( ). The same technique fails with < > however, and I cannot find a workaround, grid.text(expression(bgroup("<",atop(x,y),">"))) Error in bgroup("<", atop(x, y), ">") : invalid group delimiter Regards, baptiste sessionInfo() R version

Dear list, I read in ?plotmath that I can use bgroup to draw scalable delimiters such as [ ] and ( ). The same technique fails with < > however, and I cannot find a workaround, grid.text(expression(bgroup("<",atop(x,y),">"))) Error in bgroup("<", atop(x, y), ">") : invalid group delimiter Regards, baptiste sessionInfo() R version

A student entered some data with text characters like epsilon and alpha. On her Windows system, the Greek letters did not display properly in a plot. There were some ordinary ASCII instead. I asked her to send me the code so I could test. For me, the plot looks ok on the screen. Format1 <- c(320,500,700,1000,500,320,700,500,320) Format2 <- c(800,1000,1150,1400,1500,1650,1800,2300,2500)

I would like to use lattice graphics to plot multiple functions (or groups or subpopulations) on the same plot region, using different line types "lty" or colors "col" to distinguish the functions (or groups). In traditional graphics, this seems straightforward: First plot all the data using 'type="n"', and subsequently execute a series of "points"

Is there any documentation on what kind of SPSS file can and cannot be read by read.spss? Alternatively, how can one modify or "clean" an SPSS file to make it readable by read.spss? What properties must a *.sav file before read.spss can read it? The file in this example is 270KB, with 5 rows and 173 columns. I have no trouble reading larger files with read.spss, so it's not

There have been spasmodic reports of symbols such as pi and infinity in plotmath being reproduced incorrectly on the X11 device on some Linux systems (at least Ubuntu 10 and Fedora 12/13), and we've managed to track down one cause whilst investigating PR#14355. Some systems have Wine and hence the Wine symbol font installed. 'fontconfig', which is used by cairographics in

When we call a lattice function such as xyplot, to what extent does the "data" designation cause the function to look inside the "data" for variables? In the examples below, the "subset" argument understands that "Variety" is a variable in the data. But the "scales" argument does not understand that "nitro" is a variable in the data.

Is there a way to specify the color of the main title, the subtitle, or the axis labels? I mean, for instance, something like title(main="cougar", col=2) For me, the above command produces the color black; that is, the "col" argument has no effect. I'm on a Windows 2000 machine with > version _ platform i386-pc-mingw32 arch i386 os mingw32 system

Signed-off-by: Simon COURTOIS <scourtois at linagora.com> --- src/app/controllers/vm_controller.rb | 16 ++++++++++++++ src/app/views/vm/edit_vmpool.rhtml | 36 ++++++++++++++++++++++++++++++++ src/app/views/vm/show.rhtml | 3 ++ src/public/images/icon_vmpool_11px.png | Bin 0 -> 542 bytes 4 files changed, 55 insertions(+), 0 deletions(-) create mode 100644

How would I create the following plot using lattice? symbols( combPsummary$pastRate, combPsummary$finRate, circles=sqrt(combPsummary$N) ) The idea is to plot finRate vs pastRate using circles whose areas are proportional to the number of people in each group. The following attempt does not really work: xyplot( finRate ~ pastRate , data=combPsummary , panel=function( x, y,

help.search("groupedData") says that it's part of the lme4 package, but it appears not to be there (details below). Is this because lme4 is new and (perhaps) still under development? > update.packages() trying URL `http://cran.r-project.org/bin/windows/contrib/1.9/PACKAGES' Content type `text/plain; charset=iso-8859-1' length 19113 bytes opened URL downloaded 18Kb >

Alternate title: How can I persuade my students that R is for them? Alternate title: Can R replace SAS, SPSS or Stata for clinicians? I am teaching introductory statistics to twelve physicians and two veterinarians who have enrolled in a Mentored Clinical Research Training Program. My course is the first in a sequence of three. We (the instructors of this sequence) chose to teach R rather than

Readers, According to the documentation for the function 'plotmath' there is no apparent possibility to add the percent sign (%) to a plot function, e.g. plot(a[,1]~b[,2],ylab=expression(x~%),xlab=expression(z)) How to achieve this please? yours, rhelp at conference.jabber.org r251 mandriva2009

Suppose we have some glm object such as: myglm <- glm( y ~ x, data=DAT) Is there an elegant way--or the "right way" within the R way of thinking--to obtain the names of the response variable, the predictor variables, and the dataset, as character strings? For instance, suppose the "right way" was to use the (currently fictitious) functions theresponse(), thepredictors(),

Hi, Thank you for responding quickly and explaining the behavior. By adding "include.lowest=TRUE,right=FALSE" and manually including breaks that resolved the simple test case. Next I updated my more complex data set, which already had manually defined breaks, and that resolved my issues there too. I have now gone in and updated all my functions which use hist() so I

The purpose of this email is to (1) report an example where fisher.test returns p > 1 (2) ask if there is a reliable way to avoid p>1 with fisher.test. If one has designed one's code to return an error when it finds a "nonsensical" probability, of course a value of p>1 can cause havoc. Example: > junk<-data.frame(score=c(rep(0,14), rep(1,29), rep(2, 16))) >

Consider all the text that one sees on the console during an R session. Is there a way, within R, to make all this text--both the "output" and the "messages"--automatically get copied to a single text file, in addition to seeing it on the console? If I remember to save the console to a file at the end of my R session, that does it. But (1) That requires pointing and

How does one implement a likelihood-ratio test, to test whether the variances of the random effects differ between two groups of subjects? Suppose your data consist of repeated measures on subjects belonging to two groups, say boys and girls, and you are fitting a linear mixed-effects model for the response as a function of time. The within-subject errors (residuals) have the same variance in

The print method for lme *prints out* the fitted correlation matrix for the random effects. Is there any way to get these values as an object in R? I have examined the components of the lme object (called "junk" in the example below) and the components of summary(junk) without finding these numbers. (How I did this: I dumped the entire lme object to a text file and then used egrep to