similar to: Standard errors of sexual dimorphism?

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

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, I've been a bit confused by different wyas we specify random effects in lmer and MCMCglmm i just want to clear something. When I want to look for intersexual genetic correlations in the trait, is it equivalent to treat this trait for opposite sexes as separate traits and include the term idh(trait):animal - to treating this as a single trait and fitting idh(sex):animal? Do these two ways

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

On Tue, Oct 13, 2015 at 12:35:07PM -0400, Aaron Ballman via llvm-dev wrote: > On Tue, Oct 13, 2015 at 12:21 PM, Renato Golin via llvm-dev > <llvm-dev at lists.llvm.org> wrote: > > On 13 October 2015 at 16:41, Rafael Espíndola <llvm-dev at lists.llvm.org> wrote: > >>> - *Be welcoming.* We strive to be a community that welcomes and supports > >>>

Dear R Users, I am having trouble with lmer. I am looking at recombinant versus non recombinant individuals. In the response variable recombinant individuals are coded as 1's and non-recombinant as 0's. I built a model with 2 fixed factors and 1 random effect. Sex (males/females) is the first fixed effect and sexual genotype (XY, YY, WX and WY) the second one. Sexual Genotype is

On Sat, Oct 17, 2015 at 8:24 PM, Pasi Parviainen via llvm-dev < llvm-dev at lists.llvm.org> wrote: > On 14.10.2015 23:36, Chandler Carruth via llvm-dev wrote: > >> * **Be welcoming.** We strive to be a community that welcomes and supports >> people of all backgrounds and identities. This includes, but is not >> limited >> to members of any race,

Hello people I am doing some thinking about how to analyse data on dimorphic animals - where different individuals of the same species have rather different morphology. An example of this is that some male beetles have large horns and small wings, and rely on beating the other guys up to get access to mates, whereas others have smaller horns and larger wings, and rely on mobility to

On Fri, Nov 30, 2018 at 11:56:52AM -0800, Davidlohr Bueso wrote: > On Fri, 30 Nov 2018, Kees Cook wrote: > > > On Fri, Nov 30, 2018 at 11:27 AM Jarkko Sakkinen > > <jarkko.sakkinen at linux.intel.com> wrote: > > > > > > In order to comply with the CoC, replace **** with a hug. > > I hope this is some kind of joke. How would anyone get offended by

I am trying to run an ancova and am having trouble setting it up properly. I have nearly 10,000 measurements of fish length, girth and stage of sexual development. I am suspicious that the stage of development is affecting the length (as they get full of eggs they get more round and are more difficult to measure and measure shorter). My data looks somethign like this: Length girth stage 40 50

Dear all, I have a undirected network (g), representing all the sexual relationships that ever existed in a model community. I also have a directed edgelist (e) which is a subset of the edgelist of g. e represents the transmission pathway of HIV. Now I would like to superimpose the picture of the sexual relationships with arrows in a different colour, to indicate where in the network HIV was

Dear All, I am using a Procrustes analysis to compare two NMDS ordinations for the same set of sites. One ordination is based on fish data, the other is based on invertebrate data. Ordinations were derived using metaMDS() from the {vegan} library as follows: fish.mds<-metaMDS(fish.data, distance="bray", k=3, trymax=100, wascores=TRUE, trace=TRUE, zero="add")

On 13 October 2015 at 16:41, Rafael Espíndola <llvm-dev at lists.llvm.org> wrote: >> - *Be welcoming.* We strive to be a community that welcomes and supports >> people of all backgrounds and identities. This includes, but is not limited >> to members of any race, ethnicity, culture, national origin, colour, >> immigration status, social and economic class, educational

On Fri, 2018-11-30 at 12:55 -0800, Jarkko Sakkinen wrote: > On Fri, Nov 30, 2018 at 11:56:52AM -0800, Davidlohr Bueso wrote: > > On Fri, 30 Nov 2018, Kees Cook wrote: > > > > > On Fri, Nov 30, 2018 at 11:27 AM Jarkko Sakkinen > > > <jarkko.sakkinen at linux.intel.com> wrote: > > > > > > > > In order to comply with the CoC, replace

Greetings How do I do this in R? Checking the Cran site produces a bewildering array of packages that I can't seem to find to load. Surely the main program has this function? Cheers Kurt *************************************************************** Kurt Lewis Helf, Ph.D. Invertebrate Ecologist National Park Service Cumberland Piedmont Network P.O. Box 8 Mammoth Cave, KY 42259 Ph:

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Greetings I am attempting to plot observations of a cave aquatic invertebrate dating from 1901-2004. I can come up with a nice lattice plot of the eight sites from which I have data easily enough. However, I'd like to be able to highlight the 0 observations on the plots, i.e., attempts to find it at the site were unsuccessful. I'd like to be able to highlight these observations

I am trying to make some plots for a poster. Each one needs to be 6 inches by inches. Right now the fonts are too small and the plots don't read well on my poster. I am pretty much an R newbie and I can't figure out how to change the fonts. It would also be nice to know how to specify the size of the plot and maybe how to save the plots as jpeg files. Any help would be much appreciated! I

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