similar to: conditions on association include, hacky but more or less solved

URLS http://rubyforge.org/projects/codeforpeople/ http://codeforpeople.com/lib/ruby/traits INSTALL yes|sudo gem install traits ABOUT traits.rb is set of attr_* like methods on steroids, caffeine, and botox. it encourages better living through meta-programming and uniform access priciples. traits.rb supports smart inheritence of class attributes and a fistful of hooks for

URLS http://rubyforge.org/projects/codeforpeople/ http://codeforpeople.com/lib/ruby/traits ABOUT traits.rb is set of attr_* like methods on steroids, caffeine, and botox. it encourages better living through meta-programming and uniform access priciples. traits.rb supports smart inheritence of class attributes and a fistful of hooks for veryifying and munging attr values.

Dear R-Helpers, I am using qtl package to analyze qtl data from QTL cartographer. I have the map file and cro file from QTL cartographer. I was trying to import these two files in R using qtl package. data=read.cross("qtlcart", ".", "crofile.txt", "mapfile.txt") ### I have matched the file structure with the one on the website of qtl package - It matches

Dear all, I wanted to let you know about four phylogenetic comparative methods (PCM) packages that have become available on (3 on CRAN and 1 on GitHub) recently that hopefully will be interesting to somebody. Three of them go significantly beyond the Brownian motion (BM) and Ornstein-Uhlenbeck (OU) processes. 1) There is a new version of mvSLOUCH available. The most important change is that the

Dear all, I wanted to let you know about four phylogenetic comparative methods (PCM) packages that have become available on (3 on CRAN and 1 on GitHub) recently that hopefully will be interesting to somebody. Three of them go significantly beyond the Brownian motion (BM) and Ornstein-Uhlenbeck (OU) processes. 1) There is a new version of mvSLOUCH available. The most important change is that the

Is there a package that will allow me to fit Brownian motion and Ornstein?Uhlenbeck models of evolution for discrete traits? I know that geiger and ouch have commands for fitting these models for continuous traits, but these aren't suitable for discrete trait evolution, correct? -- View this message in context:

This bit of code finds several groups; all those which have entity_id''s of ''1'' OR ''2'' OR ''3'', as you would expect: ee = [ 1, 2, 3 ] groups = Group.find(:all, :conditions => "entity_id in (" + ee.join (",") + ")") But this bit of code only finds groups which have entity_id''s of

Hi, First I should note I am relatively new to R so I would appreciate answers that take this into account. I am trying to perform an MDS ordination using the function ?metaMDS? of the ?vegan? package. I want to ordinate species according to a set of functional traits. ?Species? here refers to ?sites? in traditional vegetation analyses while ?traits? here correspond to ?species? in such

Hello, I got an error message saying Error in lognet(x, is.sparse, ix, jx, y, weights, offset, alpha, nobs, : NA/NaN/Inf in foreign function call (arg 5) when I try to analysis a binary trait using glmnet(R) by running the following code library(glmnet) Xori <- read.table("c:\\SNP.txt", sep='\t'); Yori <- read.table("c:\\Trait.txt", sep=',');

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 should preface this problem with a statement that although I am sure this is a really easy function to write, I have tried and failed to get my head around writing functions in R. I can use R where functions exist to do what I want done, but have found myself completely incapable of writing them myself. The problem is that I have a table with several rows of species and several columns of

Hi, I am working with a species-by-trait .csv file (columns=traits, rows=species) and get the following warning message when trying to plot results of both metaMDS and pcoa:  "Warning message: In ordiplot(x, choices = choices, type = type, display = display,  :   Species scores not available" I am using a Gower's transformation in both procedures within the metaMDS or pcoa

I hope you can help with this one. I have two matricies: 1. A species abundance matrix: <http://r.789695.n4.nabble.com/file/n4643979/2species_matrix.jpg> 2. A species trait score matrix: <http://r.789695.n4.nabble.com/file/n4643979/2trait_matrix.jpg> The trait matrix lists trait scores for each species as listed in the species abundance matrix. I would like to create a script

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

Hi, I performed an experiment where I raised different families coming from two different source populations, where each family was split up into a different treatments. After the experiment I measured several traits on each individual. To test for an effect of either treatment or source as well as their interaction, I used a linear mixed effect model with family as random factor, i.e.

I have two models called entity and user. The entities table has a column called users_id that contains the user id of the user that created the entity. In entity I have... has_one :user ... as I want to be able to show the user who created the entity from the entity object. But this produces the following error... Mysql::Error: #42S22Unknown column ''users.entity_id'' in

Dear useRs, The FD package is intended for ecologists interested in functional diversity (FD). It measures different functional diversity indices from multiple traits (any type of traits). The first version of FD (1.0-0) is now available on CRAN: http://cran.r-project.org/web/packages/FD/ The main functions of FD are: dbFD: Compute different multidimensional FD indices gowdis: Gower

Dear useRs, The FD package is intended for ecologists interested in functional diversity (FD). It measures different functional diversity indices from multiple traits (any type of traits). The first version of FD (1.0-0) is now available on CRAN: http://cran.r-project.org/web/packages/FD/ The main functions of FD are: dbFD: Compute different multidimensional FD indices gowdis: Gower

Hello R people, I am looking to pay someone to help write some R code. Inputs: Study identifier: ID Number for the study, each ID number is for one study only each block set should only be used for that study. This will require that you store the results from the blocks someplace on the file system. Trait #1: dichotomous rural / urban Trait #2: dichotomous sick / healthy Assignment Ratio:

> To better understand how a client would use YAML I/O. I've completely rewritten the ReaderYAML and WriterYAML in lld to use YAML I/O. The source code is now about half the size. But more importantly, the error checking is much, much better and any time an attribute (e.g. of an Atom) is changed or added, there is just one place to update the yaml code instead of two places (the reader