search for: forage

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2016 Apr 26
0
From NUM to INT
Can you explain why you need them as 'integer', A floating point representation can hold a value upto ~4.5e15 as an "integer" keeping the precision that you might need. Jim Holtman Data Munger Guru What is the problem that you are trying to solve? Tell me what you want to do, not how you want to do it. On Tue, Apr 26, 2016 at 1:11 PM, Andr? Luis Neves <andrluis at
2016 Apr 26
2
From NUM to INT
...EASE do read the posting guide >> http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. >> > > -- Andre -------------- next part -------------- ID Crossover Period Diet Pen Time Baci Fungii fNDF Starch 126BLK 1 1 Forage 1 End1 2.90E+12 43645 3.87056104 1.443771827 13ZBLK 1 1 Forage 1 End1 5.55E+11 19009 3.970286296 1.480970702 157BLK 1 1 Forage 1 End1 9.46E+11 15998 4.114130366 1.534626493 162ZRED 1 1 Forage 1 End1 8.13E+11 2189 3.600760128 1.343132423 17ZBLKY 1 1 Forage 1 End1 4.06E+11 8972 3.79087129 1.414046468...
2016 Apr 26
5
From NUM to INT
Dear all: I converted the columns (Baci, Meti, Fungii, Protozoai) into integers (using excel) and then imported the data (.txt) into R. Interestingly, the other three variables were loaded as INT, but the 'Baci' one continued as Num. I imported the data using the following command line: X <- read.delim(file.choose(), header = TRUE, dec =
2009 Apr 20
1
doing zero inflated glmm for count data with fmr
...raging tray. habitat: the habitat type of the foraging tray. season: the season in which the experiment session took place (summer or winter). moon: the moon phase (new or full). position: a random factor (I had 4 foraging stations) individual_id: a random factor indicating the individual foraged in the tray. This is the lmer parameters I have used: model<-lmer(count~ta*habitat*season*moon + (1|individual_id) + (1|position), data=countdata, family=poisson) I would really appreciate the help. I love working with R and it really changed the way I work with my data. Thanks again, Ofir...
2008 Nov 03
3
descretizing xy data
Hello, I have a dataset with a continuous independent variable (fish length, range: 30-150 mm) and a binary response (foraging success, 0 or 1). I want to discretize fish length into 5 mm bins and give the proportion of individuals who successfully foraged in each each size bin. I have used the cut function to discretize the length values into my desired bins, but I can't figure out how to manipulate my response data in terms of the levels I've created. Any advice on how to achieve my task? Thanks in advance. -- View this message in cont...
2012 Mar 28
3
Urgent - I really need some help lme4 model avg Estimates
Hello all, If someone could take a little time to help me then I would be very grateful. I studied piping plovers last summer. I watched each chick within a brood for 5 minutes and recorded behaviour, habitat use and foraging rate. There were two Sites, the first with 4 broods and the second with 3 broods. http://r.789695.n4.nabble.com/file/n4511178/Table_PP_Maslo_et_al.png As the data within a
2007 Apr 04
6
transition matrices
I am working with transition matrices of sequences of animal behaviours. What I would like to do is parse the original matrices, adjusting row/column order so that the matrix has its main values in blocks surrounding the diagonal. This would cause behaviours involved in functional groupings (e.g. grooming, resting, foraging etc) to appear as blocks. This can be done manually by applying
2011 Dec 30
1
Fwd: Re: Poisson GLM using non-integer response/predictors?
Hi, Use offset variables if count occurrences of an event and you want to model the observation time. glm(count ~ predictors + offset(log(observation_time)), family=poisson) If you want to compare durations, look at library(survival), ?coxph If tnoise_sqrt is the square root of tourist noise, your example seems incorrect, because it is a predictor, not the dependent variable tnoise_sqrt ~
2012 Jan 23
2
model non-nested random effects in nlme library
Hello all, In lme4 if you want to model two non-nested random effects you code it like this: mod1 <- lmer(y~x + (1|randomvar1) + (1|randomvar2)) How would you go about to model something similar in nlme? In my database I have two variables for which I have repeated measures, lets call them "individual" and "year". But none of the "individuals" were measured in
2011 Apr 04
1
moving mean and moving variance functions
Hello Lets say as an example I have a dataframe with the following attributes: rownum(1:405), colnum(1:287), year(2000:2009), daily(rownum x colnum x year) and foragePotential (0:1, by 0.01). The data is actually stored in a netcdf file and I'm trying to provide a conceptual version of the data. Ok. I need to calculate a moving mean and a moving variance for each cell on the following temporal windows - 7 day, 14 day, and 28 day. So far I have code for the...
2011 Apr 01
1
filled contour plot with contour lines
I'm stumped, can anyone find my error in this sequence. for(j in 1:(varsize[4]-1)) temp <- get.var.ncdf(nc=input, varid="p_foraging",c(1,1,j),c(varsize[1],varsize[2],1)) filled.contour(x, y, temp, color = terrain.colors, plot.title = title(main = paste("Everglades Wood Stork Foraging Potential \nYear", (2000+j)), xlab =
2011 Aug 27
1
hopelessly overdispersed?
...of feeding guild, nest placement, nest type and foragig strata as factors. I hope to model with these variables the preference of primary forests (#successes) by certain bird species. My code therefore looks like: y<-cbind(n_forest,n_trials-n_forest) model<-glm(y~range+body+nstrata+ntype+forage+feed,family=quasibinomial(link=logit),data=dat) however plausible the approach may look, overdispersion is prevalent (dispersion estimated at 6.5). I read up on this and learned that in case of multiple factors, not all levels may yield good results with logistic regression (Crawley "The R...
2011 Aug 17
2
Getting vastly different results when running GLMs
Dear R gurus I am analysing data from a study of behaviour and shade utilization of chimpanzees. I am using GLMs in R (version 2.13.0) to test whether shade/sun utilization is predicted by behaviour observed. I am thus interested in whether an interaction of behaviour (as a predictor) and presence in the sun/shade (also predictor) predicts the counts I have for the respective categories. I have
2006 Aug 26
2
Did a recent Samba upgrade change something to lose connection with iptables enabled?
...lk over and pick up their dead friends and carry those around. I'm pretty sure it's because they can get in the carpool lane and pass up that line." --Ellen DeGeneres /\___/\ / /\ /\ \ Phillip (Ant) @ http://antfarm.ma.cx (Personal Web Site) | |o o| | Ant's Quality Foraged Links (AQFL): http://aqfl.net \ _ / E-mail: philpi@earthlink.net or ant@zimage.com ( )
2011 Dec 15
1
lme with nested factor and random effect
Hello all, I'm having difficulty with setting up a mixed model using lme in the nlme package. To summarize my study, I am testing for effects of ornamentation on foraging behavior of wolf spiders. I tested spiders at two different ages (penultimate vs. mature) and of two different phenotypes (one species tested lacks ornamentation throughout life [non-ornamented males] while the other
2012 Mar 23
3
Using MuMIn - error message
Hello, I hope that you can bare with me. I am new to models, but I think I have a pretty godd understanding of how to run them now, including how to use AICc and Anova. The issue is that I have many factors that I wish to compare so doing each one at a time would take forever. I came across the MuMIn package and I was so excited, however I am getting an error message and i don't know why.
2012 Mar 27
1
two lmer questions - formula with related variables and output interpretation
Hello, I have been attempting to set up a lme and have looked at numerous posts including 'R's lmer cheat-sheet' as well as reading a number of papers and other resources including R help, but I am still a little confused on how to write my model (I thought I had it). I have asked a number of questions on different forums; most of which have been resolved. My main concern right now
2008 Jul 06
1
What is my replication unit? Lmer for binary longitudinal data with blocks and two treaments.
First I would like to say thank you for taking the time to read it.Here is my problem. I am running a lmer analysis for binary longitudinal (repeated measures) data. Basically, I manipulated fruits and vegetation to two levels each(present and absent) and I am trying to access how these factors affect mice foraging behavior. The design consist of 12 plots, divided in 3 blocks. So each block
2005 Oct 03
0
Newbie with NUT and his new APC Back-UPS XS BX1500
...like Windows XP Pro. SP2's autodetection and configuration which worked before I did Linux part. :( Thank you in advance. :) -- "The antics begin!" --SimAnt Game /\___/\ / /\ /\ \ Phillip (Ant) @ http://antfarm.ma.cx (Personal Web Site) | |o o| | Ant's Quality Foraged Links (AQFL): http://aqfl.net \ _ / E-mail: philpi@earthlink.net or ant@zimage.com ( )
2008 Sep 16
0
KDE v3.5.9's pager & Compwiz-fusion...
...esktops' applications running. I only can see my active virtual desktop. Thank you in advance. :) -- "An ant can do more than an ox that is lying down." --unknown /\___/\ / /\ /\ \ Phil/Ant @ http://antfarm.home.dhs.org (Personal Web Site) | |o o| | Ant's Quality Foraged Links (AQFL): http://aqfl.net \ _ / E-mail: philpi at earthlink.net or ant at zimage.com ( )