search for: traites

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-listers, I have created a plot to display the density lines for the same variable by different entities. Now, I want to fill the area under the density lines with semitransparent colors. Though I have checked that in web-searching and book-reading, I still do not perform that. Could anyone please give me any helps or advice? Thank you in advance. The data and code I used listed below: #

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

Dear Ruser's I ask for helps on how to substitute missing values (NAs) by mean of the group it is belonging to. my dummy dataframe is: > df group traits 1 BSPy01-10 NA 2 BSPy01-10 7.3 3 BSPy01-10 7.3 4 BSPy01-11 5.3 5 BSPy01-11 5.4 6 BSPy01-11 5.6 7 BSPy01-11 NA 8 BSPy01-11 NA 9 BSPy01-11 4.8 10 BSPy01-12 8.1 11 BSPy01-12 6.0 12

Following is a function that I wrote (It is working well). It's a simple one, nothing complicated. The only question that I have is a qutation mark issue, I guess. ############################################# funcname <- function(trait.file){ #line1 setwd('/root/subroot') # line 2 load('imge.RData')

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:

Dear R-listers, There is my data and my codes to create a plot. I want to know why there are two small circles in the upper right and lower left of the plot respectively. Could you please share your experience or advice with me? # dummy data factor<-rep(c("Alice","Jone","Mike"),each=100) factor<-factor(factor) traits<-c(rnorm(100, mean=1, sd=1), rnorm(100,

I have a question for users of MCMCglmm that have experience implementing the zero-inflated poisson model. I find that the documentation, and previous questions, do not offer a lot of clear guidance on specifying and interpreting the zipoisson model. In particular, I see a lot of zero-inflated poisson examples that use the at.level(trait, x):variableName syntax. Specifically, the MCMCglmm

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

Hi All, I have just started using LLVM . i am facing a issue while using ilist container. Here is a struct with ilist container as its one element. typedef ilist<Instruction *> InstListType; struct list_node { int Impact; InstListType InstList; }; list_node

Dear Ruser's I want to substitute each "NA" by the group mean of which the "NA" is belonging to. For example, substitute the first record of traits "NA" by the mean of "BSPy01-10" in the dummy dataframe. I have ever tried to solve this problem by using doBy package. But, I failed. I ask for the advice on how to use "lapplyBy" function of

Hi all, I just finally figured out how to get 2.2.2 to do this, and thought I''d share in case others run into the same thing. The situation is a find with associations, but the tricky part is that the association shouldn''t always be loaded. This is similar to putting a condition on a has_many association in a model, but the condition is dynamic rather than predefined. The

Dear MCMCglmm users, I am currently struggling with the specification of a proper prior and model formula for a multi-response MCMCglmm with two of the three response variables being Gaussian and the third being za-poisson. The model includes several fixed effects and three nested random effects. In general, I would prefer to fit a model with a fixed effect of trait and suppressed intercept for

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=',');

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

Dear R-listers, I do clustering on tens of individuals by thousands of traits. I have known the assignment of each individual. I want to classify the individuals by randomly resampling different subsets of the traits, for example, randomly resampling 100 traits for 100 times, then 200 traits for 100 times, then 300 traits for 100 times, ,,,,,,. By each subset of traits, I do clustering of the

Good afternoon, I REALLY try to answer to my question as an autonomous student searching in the huge pile of papers on my desk and on the Internet but I can't find out the solution. Would you mind giving me some help? Please. ######################################### I'm trying to use glm with factors: > Pyr.1.glm<-glm(Pyrale~Trait,DataRav,family=poisson) If I have correctly

Hello I have a data set summarized like this: File name= Height Group Ind Age Trait 1 1 1 20 1 1 2 21 1 2 1 22 1 2 2 21 1 3 1 24 1 3 2 45 1 4 1 23 1 4 2 26 2 1 1 45 2 1 2 12 2 2 1 25 2 2 2 26 2 3 1 45 2 3 2 43 2 4 1 23 2 4 2 47 . . . I would like to plot Trait ~ Age but a different plot for each Group. I tried: > plot(Height$Trait ~ Height$Age | Group) But does not work. Any

SIMPLIFY SHARING YOUR RUBYGEMS ON RUBYFORGE! ~> gem install rubyforge SYNOPSIS rubyforge [options]* mode [mode_args]* DESCRIPTION simplistic script which automates a limited set of rubyforge operations MODES setup() initializes your .rubyforge directory. you need to run this first before doing anything else. example : rubyforge setup login()