search for: emg

...m forced to quit and restart Rgui. "try.menu" <- function(){ OS <- .Platform$OS.type GUI <- .Platform$GUI if (!(OS == "windows" & GUI == "Rgui")) return("Sorry, you must be running R using Rgui.exe on MS Windows") try(winMenuDelItem('EMG/Graphics','Plot.trace')) try(winMenuDel('EMG/Graphics')) try(winMenuDel("EMG")) winMenuAdd("EMG") winMenuAdd("EMG/Graphics") winMenuAddItem("EMG/Graphics","Plot trace","plot.trace()") } "plot.trace"...

Hello, I got an error if I try to install a package. For example package emg: R CMD check emg Everything is fine. R CMD INSTALL emg I got the following errors: * installing to library 'c:/R_2_13_1/library' * installing *source* package 'emg' ... Error in file_path_as_absolute(dfile) : Datei './DESCRIPTION' existiert nicht ERROR: installing package...

...have been stuck of a few hours now, and I don't seem to pinpoint where the problem is. I have a data.frame which is structured as follow: str(hDatPretty) 'data.frame': 1665 obs. of ?8 variables: $ time ? ?: num ?0 1.02 2.05 3.07 4.09 ... $ hr ? ? ?: num ?62.4 63.6 64.6 65.5 66.2 ... $ emg ? ? : num ?3.3 3.42 3.52 3.57 3.6 ... $ respRate: num ?50.4 50.6 50.7 50.8 50.9 ... $ scr ? ? : num ?1.7 1.72 1.73 1.74 1.75 ... $ skinTemp: num ?28.1 28.2 28.2 28.2 28.2 ... $ rating ?: num ?4 4 4 4 4 4 4 4 4 4 ... $ songId ?: Factor w/ 37 levels "1","2","3","4&q...

...plot() function and xyplot.histogram)? Is tehre a way around it? Thanks a lot in advance. ========================================= Arne Schr?der, PhD student Department for Ecology and Environmental Science Ume? University SE-901 87 Ume? Sweden phone: +46 (0)90 786 6635 e-mail: arne.schroder at emg.umu.se fax: +46 (0)90 786 6705

...?sa Granberg, Doktorand / Phd-student Evolution?r ekologi Ekologi, milj? och geovetenskap Ume? Universitet 901 87 Ume? Evolutionary ecology Department of Ecology and Environmental Science Ume? University 901 87 Ume?, Sweden Phone: +46 (0)90 786 7461 Fax: +46 (0)90 786 6705 e-mail:asa.granberg at emg.umu.se

...an someone give me a hint? I'm using a Swedish locale on WindowsXP and my R version is 2.3.1 Patched (2006-06-04 r38279) Thanks, Hans Gardfjell -- ********************************* Hans Gardfjell Ecology and Environmental Science Ume? University 90187 Ume?, Sweden email: hans.gardfjell at emg.umu.se phone: +46 907865267 mobile: +46 705984464

Hello, I am trying to draw a convex-polygon (envelope) connecting the outer points (of a particular class) in a scatter plot [which I want to do to illustrate the range of a particular type of samples in an ordination plot]. Is there any function to plot this kind of polygon? Kind regards Zlatko Petrin

Hi all, I'm new to the list...pretty new at learning to code in R... Is there a way to relate 2 different arrays in R? Hypothetical example: data1 ID z 1 100 2 250 3 75 4 12 5 89 data2 ID z 1 1 1 1 2 3 4 3 4 5 5 5 etc. Goal is to fill column z in data2 with appropriate z-values from data1 that correspond to a given ID. I'm looking for something akin to a

...work? This example is done in > R.Version()$version.string [1] "Version 2.3.0 Patched (2006-04-25 r37924)" on WindowsXP Cheers, Hans -- ********************************* Hans Gardfjell Ecology and Environmental Science Ume? University 90187 Ume?, Sweden email: hans.gardfjell at emg.umu.se phone: +46 907865267 mobile: +46 705984464

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When I perform a two-tailed sign test with the following simple syntax, binom.test(59,100) R returns a P-value (0.088) but nothing else. As I want the result for a one-tailed test I take P/2 = 0.044). However, the journal to which I've submitted my results requests the test statistics, not just the P-values. How can I make R return the test statistics? Best regards, Johan Stenberg, Umea

Dear all, I'm quite sure that this is a stupid question, but I'll ask anyway. I want to perform an ANCOVA with two continuous factors and three categorical factors. Plant population growth rate (GR) = dependent variable Seed reduction due to herbivory (SR) = continuous explanatory variable Herbivore species (HS, 2 levels) = categorical explanatory variable Population (Pop, 24 levels) =

Dear all, I'm wanting to do a series of comparisons among 4 categorical variables: a <- aggregate(y, list(var1, var2, var3, var4), sum) This gets me a very nice 2-dimensional data frame with one column per variable, BUT, as help for aggregate says, <<empty subsets are removed>>. I don't see in help(aggregate) how I can change this. In contrast, a <- tapply(y,

https://bugs.freedesktop.org/show_bug.cgi?id=51477 Bug #: 51477 Summary: bad/missing graphics with NV11 / GeForce 2MX/MX400 Classification: Unclassified Product: xorg Version: unspecified Platform: x86 (IA32) OS/Version: Linux (All) Status: NEW Severity: normal Priority: medium Component:

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depends on "autoconf: regenerate configure scripts with 4.4 version" This series removes some of the really old deadwood from the tools build and makes some other things which are on their way out configurable at build time with a default depending on how far down the slope I judge them to be. * nuke in tree copy of libaio * nuke obsolete tools: xsview, miniterm, lomount & sv *

Hi, I am having a hard time getting what the summary.lm-output for an ANOVA / ANCOVA means. Examples I find always seem to deal with simpler cases than what I meet in my data. My main problem is understanding the output when getting significant INTERACTION TERMS (what never occurs in examples :(). The following is the output after summary.lm(ancova) where "week" is continuous,

Dear list members, When I create a simple scatterplot with a regression line (se below) the line is automatically extrapolated outside the range of data points. Why is this and how can I prevent R from extrapolating the regression line? Thank you in advance, Johan model<-lm(Herb~Para) plot(Para,Herb) abline(model)

Hi, I successfully created 3 screens with the following: fig.mat<-c(0,.5,.5,.5,1,1,0,0,.5,1,.5,1) fig.mat<-matrix(fig.mat,nrow=3) fig.mat split.screen(fig.mat) I can plot three different plots on those 3 screens, but when I try the following: (Trying to create three graphs with a common x-axis but different y-axis on screen 1) screen(1) par(oma=c(3,3,0,0)) par(fig=c(0,1,0,0.33))