similar to: replace double backslash with singel backslash

Dear all, I have a problem with the function read.xls from the gdata package, error message see below. Two examples: First, I try to read my data, which does not work; Secondly, I tried the example code/data with the Iris data, which worked Any idea? Thanks, Lars > path<-"I:/subProjects/bh/HPGD/" > > setwd(path) > > xls <- "Platten_Liste_090421.xls"

Hi, I have a strange behaviour of openBUGS and WinBUGS when I start them from R. Version: R: 2.10.1 openBUGS: 3.07 WinBUGS: 1.43 R2WinBUGS: 2.1-16 BRugs: 0.5-3 I have a model and data without initial start values. If I use the stand alone versions of openBUGS and WinBUGS I don't have any problems and I get what I want. If I use function bugs() from R2WinBUGS- resp. BRugs-Library then

Dear friends of R, I want to produce a pdf file with the contents of a matrix. I employ the latex command in combination with dvi, both contained in the Hmisc package. It seems to me that the function does not correctly set the directory. > tbl.loc <- matrix(1:4, nc=2) > latex.obj <- latex(tbl.loc) > dvi(latex.obj) warning: extra args ignored after 'cd' H:\PROJECTS\data

... and is there also such a nice tool (like spss.get) for exporting data frames to SPSS? write.table does not keep the data frame labels - neither did the other exporting tools that I found. Thanks! Michael [[alternative HTML version deleted]]

Hi everybody, I don't get odfWeave to run properly. My odt file is as a simple as: ------------------------ Some text. <<echo=FALSE>>= print(1:10) @ ----------------------- The output I get ist the following: ----------------------------------- > odfWeave("roffice.odt", "rofficeOUT.odt") Copying roffice.odt Setting wd to

hello, i want to stack two lattice plots beneath each other using one x-axis and sharing the same text-panels, like: ##################################################################### library(lattice) y1 <- rnorm(100,100,10) y2 <- rnorm(100,10,1) facs<-expand.grid(Sites=rep(c("Site I","Site II"),25),Treatment=c("A","B")) pl1<-dotplot(y1 ~

HI everyone, I try to get some bootstrap CIs for coefficients obtained by quantile regression. I have influencial values and thus switched to quantreg.. The data is clustered and within clusters the variance of my DV = 0.. Is this sensible for the below data? And what about the warnings? Thanks in advance for any guidance, Kay > dput(d) structure(list(Porenfläche = c(4990L, 7002L, 7558L,

hello, i need to add legend text: "4th-root transformation", with the "th" superscripted - tried much - but nothing worked.. thanks for any hints, kay ----- ------------------------ Kay Cichini Postgraduate student Institute of Botany Univ. of Innsbruck ------------------------ -- View this message in context:

hello, all my attempts to get a plot with tick marks on both sides of axis failed - can someone please help me with this? thanks, kay ----- ------------------------ Kay Cichini Postgraduate student Institute of Botany Univ. of Innsbruck ------------------------ -- View this message in context: http://r.789695.n4.nabble.com/tick-marks-on-both-sides-of-axis-tp2336668p2336668.html Sent from the

Hello, I'm searching for a test that applies to a dataset (N=36) with a continuous zero-inflated dependent variable and only one nominal grouping variable with 2 levels (balanced). In fact there are 4 response variables of this kind which I plan to test seperately - the amount of zeroes ranges from 75 to 97%.. I searched the web and found several modelling approaches but have the feeling

hello, i did several binomial tests and noticed for one sparse dataset that binom.test(1,1,0.5) gives a p-value of 1 for the null, what i can't quite grasp. that would say that the a prob of 1/2 has p-value of 0 ?? - i must be wrong but can't figure out the right interpretation.. best, kay ----- ------------------------ Kay Cichini Postgraduate student Institute of Botany Univ. of

hello, i'd like to evaluate the 2 factors (f1 with 4, f2 with 2 levels) and its interactions in my model for writing up a summary table with likelihood-ratio tests for publication purpose. now i'm unsure about which terms of my model may be dropped from the full model and which not. mfull<-lme(resp~f1*f2,random=...) m1<-lme(resp~f1+f2,..) m2<-lme(resp~f1,..)

hello, i'd like to extract values from stressplot, but as this should happen within a long run of code, which also does a multiple plot, i need to prevent stressplot to print to the device. i tried ..,plot=F), but this is useless. any advise on this? thanks, kay ----- ------------------------ Kay Cichini Postgraduate student Institute of Botany Univ. of Innsbruck

Hi all, how would you test if a sample mean of integers with range -inf;inf is different from zero: # my sample of integers: c <- c(-3, -1, 0, 1, 0, 3, 4, 10, 12) # is mean of c <> 0?: mean(c) Thanks, Kay [[alternative HTML version deleted]]

hello list, i'd very much appreciate help with setting up the contrast for a 2-factorial crossed design. here is a toy example: library(multcomp) dat<-data.frame(fac1=gl(4,8,labels=LETTERS[1:4]), fac2=rep(c("I","II"),16),y=rnorm(32,1,1)) mod<-lm(y~fac1*fac2,data=dat) ## the contrasts i'm interressted in: c1<-rbind("fac2-effect in

hello everyone, i sampled 100 stands at 20 restoration sites and presence of 3 different invasive plant species. i came across logistic regression trees and wonder if this is suited for my purpose - predicting presence of these problematic invasive plant species (one by one) by a set of recorded ecological / geographical parameters. i'd be glad if someone would comment on applying this

hello, i'd be happy if someone could provide help with the following problem: i have a dist.matrix that comes from vegdist() function of the vegan package. the used method = "horn" is not accepted as argument in hvcluster(...,dist.method="..."). is there a way to incorporate the method "horn" in hvcluster()? thanks in advance! yours, kay -- View this

Hello list, I' d very much appreciate some help with a two sample repeated measures ANOVA. I did the analysis yielding sign. main effects (between subj.=site, within subj.=cover) and a sign. interaction: Univariate Type II Repeated-Measures ANOVA Assuming Sphericity SS num Df Error SS den Df F Pr(>F) site 18.7620 1 18.831 10 9.9631 0.010220 *

Hi everyone! I'm matching two samples to create one sample that have pairs of observations equal for the k1 variable. Merge() doesn't work because I dont't want to recycle the values. x <- data.frame(k1=c(1,1,2,3,3,5), k2=c(20,21,22,23,24,25)) x y <- data.frame(k1=c(1,1,2,2,3,4,5,5), k2=c(10,11,12,13,14,15,16,17)) y merge(x,y,by="k1") k1 k2.x k2.y 1 1 20

hello, i found it most convenient to use package contrast for planned comparisons on mixed models. for instance i have a model with 2 fixed factors, one with 4 levels (stage) and one with 2 levels (gap) and a nested random factor (site) and i tested gap within level A of factor stage: library(contrast) library(nlme) m1<-lme(rich ~ stage*gap, random=~1|site,data=richness) contrast(m1, a =