search for: recaptured

Normal 0 21 false false false MicrosoftInternetExplorer4 Dear R-helpers,   I was wondering whether there are any good books and/or website links that introduce mark-recapture analysis in R. In

...1 but not seen on time 2, 3 > and 4 > 1 0 0 0 1 0 male capture on time1 but not seen on time 2, 3 > and 4 > 1 0 0 0 0 1 female capture on time1 but not seen on times 2, > 3 and 4 > 1 0 1 1 1 0 male captured on time 1, not seen on time 2, > recaptured on time 3 and 4 > 1 0 1 1 1 0 female captured on time 1, not seen on time 2, > recaptured on occasions 3 and 4 > 1 0 1 1 1 0 female captured on time 1, not seen on time 2, > recaptured on occasions 3 and 4 > 1 0 1 1 1 0 female captured on time 1...

Hello, I am almost new in R, so perhaps my question will be silly. I try to use R for analyzing capture-recapture data in epidemiology. A cancer registry has different sources of patients. We know in each list, patients already known in all other list. The aim is to use capture-recapture models for estimating the number of patients unknow of all the sources. Because no order in sources, one

Hi Does R have a proceedure/software for capture recapture? Thank you. Lawrence Lessner Please respond to LLessner at nycap.rr.com

...cieved... > > So,may I bother you with a follow-up question: > > I have data on morphology on birds from several different years. > Each year about 50-100 birds are captured, marked with a unique id > and measured. The recapture rate is very low and on average 1-2 > birds are recaptured the subsequent year. Again a small example data > set, which hopefully is more realistic: > > #### > year <- as.factor(rep(1:4,each= 5)) # the four study years > id <- c("a", "b", "c", "d", "e", "b", "f", &...

Hi All, My kit : Centos4.4 + Postfix + SA + ClamAV (not that its relevant) General question - Does anyone know of a product which can take a folder / mbox of mail (spam, ham, virus infected stuff, scam mail and hoaxes) and "replay" it back against a test server to determine the servers ability to filter? I have looked at some low level (IP) packet replayers, but i cant really find

Hello, I have a couple questions regarding generalized linear mixed models specifically around fitting the random effects terms correctly to account for any pseudo-replication. I am reading through and trying to follow examples from Zuur et al. Mixed Effects Models and Extensions in Ecology with R, but am still at bit unsure if I am specifying the models correctly. Background information: Our

...---------- Rajarshi Guha <rajarshi at presidency.com> <http://jijo.cjb.net> GPG Fingerprint: 0CCA 8EE2 2EEB 25E2 AB04 06F7 1BB9 E634 9B87 56EE ------------------------------------------------------------------- Did you hear that two rabbits escaped from the zoo and so far they have only recaptured 116 of them?

On Wed, Nov 5, 2014 at 10:01 AM, Philip Reames <listmail at philipreames.com> wrote: > Would one of you mind taking a step back and explaining what you believe > the "stack colouring problem" to be? I'm familiar with the general meaning > of the term and even some of LLVM's implementation; I'm just not sure what > specific issue you're referring to.

...------------------- Rajarshi Guha <rxg218 at psu.edu> <http://jijo.cjb.net> GPG Fingerprint: 0CCA 8EE2 2EEB 25E2 AB04 06F7 1BB9 E634 9B87 56EE ------------------------------------------------------------------- Did you hear that two rabbits escaped from the zoo and so far they have only recaptured 116 of them?

Dear R-users, I have the following data x <- runif(300,min=1,max=230) y <- x*0.005 + 0.2 y <- y+rnorm(100,mean=0,sd=0.1) y <- y%%1 # <------- modulo operation plot(x,y) and would like to recapture the slope (0.005) and intercept(0.2). I wonder if there are any clever algorithms to do this. I was looking at the function lm.cirucalar. Is this the method to use? If, which of the

Dear R-Team! I am a beginner in R and use the WISP library for a project. I am using mark-recapture to estimate abundance. I would like to know if it is possible to only survey a part of the created area (with the created population) and not all of it. I am trying to quantify bias introduced by non random sampling design (i.e. the area is 24x100 but I only wanna search 24x40) Thank you already in

Hello. I am running a state space model (the example from Marc kery's Bayesian population analysis using WinBUGS ) The code runs fine for the examle as shown in the book. However I played around and changed the nodes monitored to the latent variable z I get the following error- even though it is monitored in the code: Initializing model

I spent quite a bit of time setting up what I wanted to update and install via yumex. I left my system for a few minutes to attend to another computer. A helpful family member logged me off without checking. So can I recapture what I had queued? I cannot find anything that looks like a yumex queue file. yum.log does not have any updates from today.... :(

Folks: A couple of people have mentioned that the HTML I use in the Depot app could be better (and I don''t necessarily disagree: I''m not a CSS maven). What''s the general feeling on this? Is it worth using more compliant markup for the Depot HTML? If so, would anyone be willing to markup the depot_r application (ideally so that it looks the same and I

Hello R users, and perhaps William Revelle in particular, I'm curious as to how ICC deals with missing data, so for example you are sampling individuals over set periods in time and one individual is missing or was not recaptured at that given time point - leading to NA in the dataset. My thought was that it should then omit data by individual, but I'm not convinced that that is what it is doing? Does anyone know, I have looked at ?ICC but there is no information there, apologies if I have missed it in any other help f...

Hi all, I have just started using RMark to analyse capture-recapture data. I am trying to analyse a simulated data set using the Robust Design (two primary periods with three secondary sessions in each) to estimate apparent survival. On specifying the time intervals (that tell R about the primary and secondary sampling sessions), this is the error I get: > time.int <- c(0,0,1,0,0) >

Hi all, I am working with a capture-recapture analyses and my data set consists of a typical set of encounter histories. Thus, for each individual I have a string (same length for all the individuals) consisting of 0 (not seen) and other numbers (seen in state "1", seen in state "2", etc. where state may refer to breeding, nesting, feeding, etc.). At the end of each string I

Before anything else, let me state this: Of course it''s going to be PAINFULLY slow on MRI. That''s not the point :) I thought I''d try out writing out a Ruby version of the parser for the purposes of Rubinius. For those of you who aren''t aware, Ragel supports a goto-driven FSM on Rubinius by injecting assembly directly, and Rubinus head honcho guy Evan Phoenix

...? using survival tests, but the resultant Kaplan-Meier plot does not seem to make sense. Since I am dealing with a wild animal and only trapped a few days out of a month the data is fairly messy, with gaps in capture history that require assumptions of tag survival. An animal that is tagged and recaptured 2 days later with a tag and 30 days later without one could have an assumed tag retention of 2 days (minimum confirmed) or 30 days (maximum possible). Both are significant with a survtest, but the K-M plots differ. A plot of minimum confirmed (overall harsher data, lots of 0 days and 1 or 2 day...