similar to: ANCOVA when you don't know factor levels

Good day, All, Is there any way to maintain the number of decimal places in the type of situation below? I would like to maintain the number of decimal places in 0.667, despite the fact that its column-mates have a fourth decimal place. Thank you for your time. Jim dat.txt contents: MARKER ALLELES FREQ1 RSQR EFFECT2 STDERR CHISQ PVALUE rs6599753 C,T

Hello! I have a data frame mysample (sorry for a long way of creating it below - but I need it in this form, and it works). I regress Y onto X1 through X11 - first without weights, then with weights: regtest1<-lm(Y~., data=mysample[-13])) regtest2<-lm(Y~., data=mysample[-13]),weights=mysample$weight) summary(regtest1) summary(regtest2) Then I calculate Durbin-Watson for both regressions

Dear R users I recently migrated from Statistica/SigmaPlot (Windows) to R (Linux), so please excuse if this may sound 'basic'. When running a nonlinear regression (V = Vmax * conc / (Ks + conc), i.e. Michaelis-Menten) on SigmaPlot, I get the output listed below: >>>Begin SigmaPlot Output<<< R = 0.94860969 Rsqr = 0.89986035 Adj Rsqr = 0.89458984 Standard Error of

I am running a logistic regression model with a random effect using lmer. I am uncertain how to check for collinearity between my parameters. I have already run cor() and linear regression for each combination of parameters, and all Rsqr values were <0.8….but I am analyzing ecological data so a 0.8 cutoff may be unrealistic. -is there a way to check variance inflation factors or tolerance

Hello, I recently came across an OpenCL kernel in which an int vector type was subtracted from the INT_MIN constant, e.g. int2 v2 = INT_MIN - (int2)(0); INT_MIN was defined as #define INT_MIN (-2147483648) Clang in OpenCL modes (-x cl) produces the following error: vector_conversion.c:12:42: error: can't convert between vector values of different size ('long' and 'int2'

--- .gitignore | 2 ++ 1 files changed, 2 insertions(+), 0 deletions(-) diff --git a/.gitignore b/.gitignore index a6caaf9..ae3b16d 100644 --- a/.gitignore +++ b/.gitignore @@ -45,6 +45,7 @@ daemon/install-sh daemon/missing daemon/names.c daemon/stubs.c +daemon/m4/stddef_h.m4 depcomp .deps df/virt-df.1 @@ -114,6 +115,7 @@ libtool *.lo localconfigure ltmain.sh +m4/gnulib-cache.m4

Dear R Users, I am looking for an alternative to AIC or BIC to choose model parameters. This is somewhat of a general statistics question, but I ask it in this forum as I am looking for a R solution. Suppose I have one dependent variable, y, and two independent variables, x1 an x2. I can perform three regressions: reg1: y~x1 reg2: y~x2 reg3: y~x1+x2 The AIC of reg1 is 2000, reg2 is

Hello! I am working on a manuscript on sexual dimorphism in an aquatic invertebrate, where we have estimated sexual dimorphism (SD) for 7 different traits in four populations (a total of 28 SD-estimates). We have used the following formula for estimating SD: 100 * (mean male trait value - mean female trait value)/overall trait mean). Then, we have used these SD-estimates to perform a GLM against

Hi I'm getting a weird result when I try to switch from a normal box plot to a notched one. The ends of the box fold down toward the median giving a horned appearance. Is just the sample itself? It is small, but the un-notched plot looks okay. Anyway to fix this? e7=as.vector(c(234,37,98,116,47)) boxplot(e7, plot=TRUE, notch=TRUE) Thanks very much.

Hey all, I know you all saw the topic and let out a groan. However, I understand how to get an overhead paging system to work with respect *, however I am now looking for a small(?) paging amp, that I could hook 3 or 4 horns to. I would like to just have the * extention be routed to a soundcard and out an output, so I would like an amp that is voice signal activated. Has anyone found anything

Dear all, Does anyone know if the mixture analysis (i.e : sexual dimorphism, age group,…) can be done with R software ? Thanks for your help Dan --------------------------------- [[alternative HTML version deleted]]

I'm trying to perform ANCOVAs in R 1.14, on a Mac OS X, but I can't figure out what I am doing wrong. Essentially, I'm testing whether a number of quantitative dental measurements (the response variables in each ANCOVA) show sexual dimorphism (the sexes are the groups) independently of the animal's size (the concomitant variable). I have attached a 13-column matrix as a data

I know speex is not supposed to do a great job compressing music, but I've noticed that the new VBR code chokes completely when you try to compress horns. I've placed a particularly offensive example up at http://www.utdallas.edu/~matthias/ . Take a look at a-16m*{ogg,spx}. a.ogg is the first minute of an ogg created from the source media (in 44khz stereo). The rest have been mixed down

OK, I am definitely new to porting from Windows to Linux. You may have already seen my previous post about Winelib, ignore it for the time being. We have an app that dates back several developers, which of course no longer are available, and several years. We have had quite a few requests for a version that runs on Linux and hence the work to get the app ported. It is not a large app by most

Hello everyone Not strictly an R question but close... hopefully someone will be able to help. I wish to compare the switchpoints in two switchpoint regressions. The switchpoints were estimated using the segmented library running in R, and I have standard errors for the estimates. I initially thought I could just bootstrap confidence intervals for the difference between the switchpoints,

On Sun, Dec 14, 2003 at 11:32:07PM -0600, John Van Essen wrote: > would you care to take the bull by the horns and produce a release > candidate for 2.5.8 so that the rsync enthusiasts on the rsync mailing > list can give it a whirl prior to an official release (hopefully by > Christmas)? I was just about to say something about this on the list, so I'll do it in reply to your

Hello all I'm trying to do a simulation that involves identifying the minimum point between two peaks of a (usually) bimodal distribution. I can do this easily if there are only two peaks: CnBdens<-density(Ys/Xs) #probability density function for ratio of Ys to Xs for(p in 1:512) ifelse(CnBdens$y[p]>CnBdens$y[p-1],peak1<-p,break) #identifies first peak in probability

Some students of mine are trying to use gnls, the generalized non-linear least squares function within the nlme library, to study evolutionary questions where correlations between traits at the species level are non-independent because of the evolutionary relatedness of the species. Specifically, they're using a non-linear function (log(sexual dimorphism) ~ log(a + b*variation in mating

Hi Neil / Thorsten, The full test result is attached. Thanks and Regards, Anil ------------------------------------------------------------------------------------------------------------------------------- root at genericarmv8:~/anilss/AArch64/mksh_44-1/mksh# ./mksh test.sh -p $PWD/mksh Testing mksh for conformance: # $MirOS: src/bin/mksh/check.t,v 1.599 2013/02/24 14:22:41 tg Exp $

On Wed, 9 Oct 2013 10:44:27 +0000 (UTC) Thorsten Glaser <tg at mirbsd.de> wrote: > Anil Singhar dixit: > > >Manual testing as provided within the package has been done with all > >tests passing. This includes the units tests available under > >usr/klibc/tests, usr/utils, usr/dash and usr/gzip. For dash and > >gzip, only sanity testing has been done. > >