similar to: Help with seting up comparison

Dear bugs @r; The following reproduces erroneous results on my system using R-gui: platform i386-pc-mingw32 arch x86 os Win32 system x86, Win32 status major 1 minor 4.1 year 2002 month 01 day 30 language R ##################################################### inter.gp.effect <- 0.1 animals <- data.frame(pos = 0:2) SI.model <- function(Animal.group) {

Hi, I want to create variable names from within my code, but can't find any documentation for this. An example is probably the best way to illustrate. I am reading data in from a file, doing a bunch of stuff, and want to generate variables with my output. (I could make a "list of lists" and name all the elements, but I really want separate variables.) ################# #This is

Hi, I'm using metafor to perform a mixed-effects meta-analysis. I'd like to test whether the effect is different for animals and plants/whether "group" (animal/plant) influences the effect size, but am having trouble interpreting the results I get. I've read previous posts about QM in metafor, but I'm still a bit confused. I've dummy-coded the factors:

Hi, I am a Rails noob. Suppose you have: --- class Animal < ActiveRecord::Base end class Mammal < Animal end class Cow < Mammal end --- I provide Animal,Mammal and Cow controllers with the scaffolding, just to test and to fill up the Animal table. I can see the "type" column getting it''s value set with the class name. So far, soo good. Now, since listing Animals

Hi, I am trying to simulate animal movement in a gridded landscape made up of cells. At each time step (iteration), the animal moves from one cell to another in a random fashion. This is how I am simulating movement, where a and b are the x,y co-ordinates of the animal at the previous time step: for (i in 1:no.of.steps){ direction <- sample(1:8, 1) if(direction == 1){ a <- a b <- b -

1. Emma is performing an experiment that requires individual handling of some animals. The sizes of the animals are lognormally distributed: The natural logarithms of their sizes has a normal distribution with mean 3 and standard deviation 0.4. The time (in minutes) it takes to handle each animal is given by 10 + s · 1.5 + eε for animals with s ≤ 20 20 + s · 0.8 + eε for animals with s > 20

I''ve been playing around with some easier ways of specifying conditions in active record, and have come up with a little plugin that some may find useful. Currently active record finder and calculations methods can take a :conditions option with a string or array listing some sql conditions, eg: Animals.find :first, :conditions => "name = ''Tiger''" My

Hi, I hope this is not too trivial, but I've had this recurring problem and I think there is super easy solution, just not sure what it is. Please see short example below. ?I would like to get the frequency (counts) of all the variables in a single column (that is easy), but I would also like to return the value 0 for the absence of variables defined in another column. For example: animals

Hi, I have one controller in the /app/controllers/animals_controller.rb directory, and another in /app/controllers/production/services_controller.rb. The thing is that one Animal has many Services, and i''d like to access to them using something like: http://localhost:3000/animals/1/production/services/1 or at least with: http://localhost:3000/animals/1/services/1 I tried the last one

Hi all, I have a data frame with some measured values of some animals. Sometimes the measurement failed, resulting in a NA for a measurement and sometimes the animal died, resulting in NA for all measurements. I have several groups of animals. How do I find the size of each group with only alive animals? And how do I find the size of the groups for each measurement? An example: l1 <-

I have a list of observations of individuals. I would like to make a list of individuals, with a data frame of observations for each individual. The following code usually works, but not always ---------------------------------------------------------------------- # Make a list of empty data frames animals = list() indivs = levels(Z$individual_id) donotprint <- sapply(indivs, function(i){

Hi all, I have a population in which I want to follow living and dead animals through time ( 1 simulation, 100 years). I have created 2 arrays for living and dead animals In the starting population there are, say, 500, animals To determine whether each of these animals survives to a following age-class, a uniformal chance is generated, resulting in "TRUE" if the animal lives, or

I am trying to graph weight data for our colony. We a data frame with Animal, Weight and Date. I'd like to display this data a series of simple xyplots. We only need to display these plots together, we do not need to make comparisons between animals. Each animal has been weighted over a different time period, so we do not want the same range for each X axis. Using the following, I can

Dear all, I want to build a model in R based on animal collection data, that look like the following Nr Village District Site Survey Species Count 1 AX A F Dry B 0 2 AY A V Wet A 5 3 BX B F Wet B 1 4 BY B V Dry B 0 Each data point shows one collection unit in a certain Village, District, Site, and Survey for a certain Species. 'Count' is the number of animals collected in that

Hi I have data in the following format Cort Day Animal 23 0 1 27 3 1 24 0 2 27 1 2 34 2 2 30 3 2 24 4 2 20 0 3 24 1 3 28 2 3 34 4 3 etc. It is measured across time(day) however no every individual is measured the same number of times. All I want to do is plot the Raw data and then run a line connecting the

All, I have some data of animal movements that I'm plotting using xyplot() from lattice. I want to have the date (class POSIXct object) on the Y-axis and the animals longitude on X-axis. Eg. xyplot(date ~ longitude, groups = animal, data = my.data) with data like: animal ptt year month day lon date 125 03P0014 13273 2003 7 10 150.38 2003-07-10 14:03:48 126

Dear all, How can I run a constrained correspondence analysis with the following data: 15 animals were measured repeatedly month-wise (over to 2 years) according to ther diet composition (8 food categories). our data.frame looks like this: food 1 2 ... 8 sex season year animal freq 12 8 ... 1 0 summer 2011 1 freq 0 7 ... 0 1 winter 2011 1 ... freq 0 7 ... 0 1 spring 2011 15 We

Hi all, I have a simple data frame of three columns - one of numbers (really a categorical variable), one of dates and one of data. Imagine: collar date data 1 01/01/2013 x 2 02/01/2013 y 3 04/01/2013 z 4 04/01/2013 a 5 07/01/2013 b The 'collar' is a GPS collar that's been worn by an animal for a certain amount of time, and then may have been worn by a different animal after

For example, c("dog.is.an.animal", "cat.is.an.animal", "rat.is.an.animal"). How can I identify the common prefix is ".is.an.animal" and delete it to give c("dog", "cat", "rat") ? Thanks _________________________________________________________________ [[alternative HTML version deleted]]

Hello, I am learning rails and ruby and I have some questions about how should I go about doing certain things. [1]Many of my models have some functionality which is common, and instead of duplicating it across models, I want to store it in a single file, and then import the file into the models. Should I do this using modules, and then store them in the `lib'' directory? What is the