similar to: Mono in postscript device

Hi, I would like to convert a simple list into an environment object. It seems I have to create an environment object with new.env() and assign the single values afterwards. Now what I did not really understand from the guides until now is, how the parent environment supplied to the new.env() function influence the final environment. So: 1. Do I ALWAYS have to supply a parent during creation? 2.

Hi, When I create an environment object with new.env() and populate it with values then how can I save it into an .RData file properly, so it can be loaded later on in a new session? Saving an environment object with save() or save.image() results in an error message when loading again: Error: protect(): protection stack overflow Regards, benjamin ======================================

Hi, is there any R-package providing a Passing Bablok regression procedure? This Question seems to have occurred once or twice before, but I never saw an answer to the previous inquiries. Best regards Benjamin Otto ====================================== Benjamin Otto University Hospital Hamburg-Eppendorf Institute For Clinical Chemistry Martinistr. 52 D-20246 Hamburg

Dear R-helpers, I´m in the context of writing a general function for error propagation in R. There are somehow a few questions I would like to ask (discuss), as my statistical knowledge is somewhat restricted. Below is the function I wrote, the questions are marked. Many thanks in advance. propagate <- function(expr, varList, type = c("stat", "raw"), cov = TRUE) {

Dear R-helpers, does anyone know of some package/function that can build a network from the functions that are implemented in a package, i.e. visualize the cross-references from one function to another in the same or some dependent package? An example would be a function like 'nls' on top of the hierarchy and then a network of nodes from the functions that are called within 'nls'

Hi, here is a practical problem we would like to solve. In a pneumatic post the acceleration of the capsule is measured and plotted over time. From the graph achieved we would like to derive some kind of statistic value that describes the stress the capsule, or what is in it, is exhibited to. The amount of stress introduced to the capsule will probably depend on two things, the maximum

Dear all, I encounter some discrepancies when comparing the deviance of a weighted and unweigthed model with the AIC values. A general example (from 'nls'): DNase1 <- subset(DNase, Run == 1) fm1DNase1 <- nls(density ~ SSlogis(log(conc), Asym, xmid, scal), DNase1) This is the unweighted fit, in the code of 'nls' one can see that 'nls' generates a vector

Dear All, I encounter some discrepancies when comparing the deviance of a weighted and unweigthed model with the AIC values. A general example (from 'nls'): DNase1 <- subset(DNase, Run == 1) fm1DNase1 <- nls(density ~ SSlogis(log(conc), Asym, xmid, scal), DNase1) Now for a weighted fit: fm2DNase1 <- nls(density ~ SSlogis(log(conc), Asym, xmid, scal),

Hi Eik, thank you so much - it works perfectly! Thank you and best wishes Alain   Eik Vettorazzi <E.Vettorazzi@uke.de> hat am 6. Februar 2013 um 17:01 geschrieben: > Hi Alain, > here is a one-liner for a df without the rowSum column > >

Hi, While trying to install hgu133acdf- windows package in R im getting the following error and unable to install the same. > source("http://bioconductor.org/biocLite.R") > biocLite("hgu133acdf") Using R version 2.10.0, biocinstall version 2.5.10. Installing Bioconductor version 2.5 packages: [1] "hgu133acdf" Please wait... trying URL '

Hello, After running R CMD check on my package I received the following error on package dependencies: * using log directory 'C:/z-zBackup/Nuvera Bio on Iatros01/Development/RPackages/nvNormalize/nvNormalize.Rcheck' * using R version 2.9.1 (2009-06-26) * using session charset: ISO8859-1 * checking for file 'nvNormalize/DESCRIPTION' ... OK * checking extension type ... Package *

Hello, I came across this by using R cmd check - otherwise I would probably not have noticed. One of my functions does something like this: # postscript() # plot(1, xlim = c(0, 10), ylim = c(0, 4), type = "n", ann = FALSE, axes = FALSE) # text(1:10, 2, c("a","b"), cex = seqcex, family="mono",font=2) Which results in the error: Error in text.default(1:10, 2,

Hi, Can I rotate a plot (e.g. a distribution plot) by 90 degrees? The barplot function provides the "horiz" command but that's not availeable for the base package functions. I found an old advice from Paul Murrell on a similar problem suggesting to use viewports (grid package). Yet I couldn't reproduce his examples successfully. And going through the examples in the current grid

I am using the standard phonetic font "Doulos SIL" in a graph (http://scripts.sil.org/cms/scripts/page.php?site_id=nrsi&id=DoulosSILfont) This is an example: windowsFonts(IPA="TT Doulos SIL") barplot(c(1,2,3,4,5),names=c("\u{0251}","\u{0252}","\u{0253}","\u{0254}","\u{0255}"),family="IPA") However, I am unable

I'm running Ubuntu 9.04. I could use some advice about fonts in postscript devices. > sessionInfo() R version 2.9.0 (2009-04-17) i486-pc-linux-gnu locale: LC_CTYPE=en_US.UTF-8;LC_NUMERIC=C;LC_TIME=en_US.UTF-8;LC_COLLATE=en_US.UTF-8;LC_MONETARY=C;LC_MESSAGES=en_US.UTF-8;LC_PAPER=en_US.UTF-8;LC_NAME=C;LC_ADDRESS=C;LC_TELEPHONE=C;LC_MEASUREMENT=en_US.UTF-8;LC_IDENTIFICATION=C attached base

Hi Eric, you can use an annotate-layer, eg ind<-which(sig>0,arr.ind = T) ggplot(m1.melted, aes(x = Month, y = Site, fill = Concentration), autoscale = FALSE, zmin = -1 * zmax1, zmax = zmax1) + geom_tile() + coord_equal() + scale_fill_gradient2(low = "darkred", mid = "white", high = "darkblue",

well the subject tell's it.. it's not able to change password's for users from a miupoms xp/2000 machine... windows is complaining about, domain not availeable.. and samba show's an (incor.password lenght error) i used an password over 5 char's (6 and 8) and the min. passwd lenght is 5 !! anny clue's?? there is an encryped passwords=yes in the conf.. l8r

Hello to the list, I noticed something that it seems weird to me with postscript device in dev.print function. Suppose this little code: x<-1:10 par(family="sans") plot(x, main="main") Using dev.print with pdf device brings no problem dev.print(device=pdf, file="test.pdf") But using postscript device dev.print(device=postscript, file="test.ps") I get

Hi Steven, It's not entirely clear what you actually want to achieve in the end. As soon as you "know" x1, and assuming that the different "xi" do not differ in length in the real application, you know the length of the target vector. Instead of the loop, you can use 'Reduce' without having to initialize a starting vector. # generate sample vectors, put them in

Hi Anne, I would suggest to change the linear model to lm(BloodPressure~Age), as this model makes more sense in biological means (you would assume that age influences pressure, not vice versa) and also obeys the statistical assumption of weak exogeneity, that age can be measured without error, at least compared to error-prone bp measures. Cheers Am 18.04.2018 um 16:07 schrieb Gerrit Eichner: