similar to: several plots on several pages

Hi I know how to referenc R in a scientific paper - but is there a standardised way to reference packages? Thanks Rainer -- NEW EMAIL ADDRESS AND ADDRESS: Rainer.Krug at uct.ac.za RKrug at sun.ac.za WILL BE DISCONTINUED END OF MARCH Rainer M. Krug, Dipl. Phys. (Germany), MSc Conservation Biology (UCT) Plant Conservation Unit Department of Botany University of Cape Town Rondebosch 7701

Hi I am sure this is simple - but how can I convert one charecter vector into one string? example: x <- c("This ", "is ", "one ", "sentence.") should become "This is one entence" Thanks Rainer -- NEW EMAIL ADDRESS AND ADDRESS: Rainer.Krug at uct.ac.za RKrug at sun.ac.za WILL BE DISCONTINUED END OF MARCH Rainer M. Krug, Dipl. Phys.

Hi I created a complex layout with using layout() and it looks exactly as I need it. But I don't want to print in the order in which the subfigure are numbered, but in a different order. How can I navigate in the layout so that I can specify the subfigure in which to plot? At the moment I am using a function which is converting the number to mfg parameter for par, but it does not seem to

Hi Consider the following code > x <- rep(1:13, 13) > y <- 1:3 I want to select all elements in x which are equal to 1, 2 or 3. I know that I could use > sel <- x==y[1] | x==y[2] | x==y[3] > x[sel] to obtain the values, but in my analysis, the y-vector is thousands of elements long. Is there any way, that I can do that easily? Thanks Rainer -- Rainer M. Krug, Dipl.

Hi I have a plist t which contains size measurements of individual plants, identified by the field "plate". It contains, among other, a field "year" indicating the year in which the individual was measured and the "height". The number of measurements range from 1 to 4 measurements in different years. My problem is that I would need the LAST measurement. I only

Hi I am trying to install the package "pheno", but it needs the package "nprq" by Roger Koenker et al. which I can I find this package? It does not seem to be on CRAN and googling also doesn't give me an URL - is it still somewhere available? Thanks, Rainer -- NEW EMAIL ADDRESS AND ADDRESS: Rainer.Krug at uct.ac.za RKrug at sun.ac.za WILL BE DISCONTINUED END OF

Hello everyone, I run R on Gentoo Linux and this week I upgraded R from 2.5.0 to 2.6.0. With the new build, I have stumbled upon an unpleasant problem: I can no longer install packages from CRAN through a transparent proxy. With the previous version, I simply added to /usr/lib/R/etc/Renviron the following line and it functioned like a charm: ## Proxy settings http_proxy="SERVER:3128"

Hi I tried to install rkward under ubuntu hardy heron, but it tried to use the one from the cran repository which was newer, but it did not install. To be able to install rkward, I had to disable the cran repository, install rkward, lock it's version and enable the repository again. I have the feeling, that the dependencies are not correct (it is looking for libqt4GUI, but I have a

Hi Sorry for crossposting, but I think this can be of interest for GRASS and R users. I am planning to write a package to make the use of GRASS from R easier. The idea is to wrap the system call to execute the GRASS command into an R command of the same name. e.g: r.to.vect <- function(..., intern=TRUE, ignore.stderr=FALSE) { comm <- paste( "r.to.vect ", ...,

Hi, I used the following statements to generate unsuccessfully a 5 by 5 multiple densityplots on a single page. If I use plot, the whole thing works. > data <- matrix(rnorm(25), 5, 5) > op <- par(mfrow = c(5, 5)) > for (x in 1:5) {densityplot(data[,x])} > par(op) Thanks Stanley [[alternative HTML version deleted]]

Hi I use the following code and it stores the results of density() in the list dr: dens <- function(run) { density( positions$X[positions$run==run], bw=3, cut=-2 ) } dr <- lapply(1:5, dens) but the results are stored in dr[[i]] and not dr[i], i.e. plot(dr[[1]]) works, but plot([1]) doesn't. Is there any way that I can store them in dr[i]? Thanks a lot, Rainer -- Rainer M. Krug,

Hi I am comparing four different linear mixed effect models, derived from updating the original one. To compare these, I want to use anova(). I therefore do the following (not reproducible - just to illustration purpose!): dat <- loadSPECIES(SPECIES) subs <- expression(dead==FALSE & recTreat==FALSE) feff <- noBefore~pHarv*year # fixed effect in the model reff <-

Hi if I try to import a raster layer which consists only of NULL values from grass by using the readRAST6, I get an error message: > readRAST6("HSericea_seedsDisperse_2007") ERROR: Invalid value for null (integers only) Error in readBinGrid(rtmpfl11, colname = vname[i], proj4string = p4, integer = to_int) : no such file:

Hi Dirk, Thanks for the explamnayion - Debian is running in a VM (and nothing really installed on it) , and I think the easiest is for me just to install Debian 10 and to use that one. Thanks a lot, Rainer > On 22 Sep 2020, at 15:14, Dirk Eddelbuettel <edd at debian.org> wrote: > > > On 22 September 2020 at 14:49, Rainer M Krug wrote: > | I know this is likely

Hi I want to highlight two panels in a grid created with facet_grid() by putting a box around it or usiong another background colour. Is this possible, and if yes, how? Thanks Rainer -- Rainer M. Krug, Dipl. Phys. (Germany), MSc Conservation Biology (UCT) Plant Conservation Unit Department of Botany University of Cape Town Rondebosch 7701 South Africa Tel: +27 - (0)21 650 5776 (w) Fax:

Hi this might be a little bit off topic, but here it goes: lets assume I have the following: set.seed(13) dat1 <- rnorm(2000, mean=10, sd=10) dat2 <- rnorm(100, mean=10, sd=20) d.all <- density(dat, n=1024) d.co <- density(x[[v]], , from=min(d.all$x), to=max(d.all$x), n=1024) d.diff <- list( x = d.all$x,

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hi I have 10.000 simulations for a sensitivity analysis. I have done a few sensitivity analysis for different response variables already, but now, as most of the simulations (if not all) show some cyclic behaviour, see how the independent input parameter influence the frequency of the cyclic changes and "how cyclic" they actually are. So

Hi I have a table called npl containing results of simulations. It contains about 19000 entries and the structure looks like this: NoPlants sim run year DensPlants 1 6 lng_cs99_renosterbos 1 4 0.00192 . . . it has 43 different entries for sim and year goes from 1 to 100, and run from 1 to 5. I would like to calculate the mean of DensPlants for each

Hi I want to do a series of linear models, and would like to define the input arguments for lm() as variables. I managed easily to define the formula arguments in a variable, but I also would like to have the "subset" in a variable. My reasoning is, that I have the subset in the results object. So I wiould like to add a line like: subs <- dead==FALSE & recTreat==FALSE which

Hi is there an alternative to par(new), for ading data to a plot for a different y-axis? My problem with par(new=TRUE) is, that it re-defines all axis and labels (as in example 1) and one has to use xlim=... to fix the x-axis. I am looking for something, which simply resets the y-axis, so that a new plot() (or points()/lines()) keeps the x-axis, but re-defines the y-axis. Is there something