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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

...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 1.41404646...

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 =

...ertion. I would like to use the fmr function from the 'gnlm' library but I just cannot figure out from the examples in the help page and some forums out there how to convert the lmer parameters to the one used in fmr... I have these variables in the model: count: the number of logs in a foraging tray (this is the response variable). ta: the ambient temperature at the foraging 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...

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 dat...

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 brood is non-independent and the fact that there were so few, then conventional statistical tests were of little use. I th...

...ition 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 subjective 'prior knowledge' of sequences, however I would like to have an algorithmic/objective method to generate at least a first cut ... Any suggestions or hints (even just thoughts) would be much appreciated, Richar...

...decimal value, square root to > adjust for skew), tourist number (the > number of tourists at a site, square root), and the number of boats passing the > site in a day (log). These are compared with predictors: total number of birds > (count data, square root), average time devoted to foraging at site (log), species > richness (sqrt), and the number of flushes per day. Apart from the last one > they are all non-integer values. When I run a glm for example: > > > parrots<- glm(tnoise_sqrt ~ lengthfeeding_log, family = > poisson) > > summary(parrots) > >...

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

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 th...

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 = "UTM East", ylab = "UTM North") ,...

dear list! i am running an anlysis on proportion data using binomial (quasibinomial family) error structure. My data comprises of two continuous vars, body size and range size, as well as 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)...

...ved. 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 my data organised as such: behaviour location specific total Travel Sun 131 303 Travel Shade 172 303 Foraging Sun 248 651 Foraging Shade 403 651 Vigilance Sun 97 224 Vigilance Shade 127 224 Rest Sun 502 1143 Rest Shade 641 1143 Abnormal Sun 33 58 Abnormal Shade 25 58 Play Sun 58 173 Play Shade 115 173 SelfGrooming Sun 183 595 SelfGrooming Shade 412 595 SocialGrooming Sun 59 358 SocialGrooming...

...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 ( )

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 acquires ornamentation upon maturation [i.e. brush-legged males]). I tested a s...

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.

...actors affect the amount of time feeding. I set up a global model with ten fixed variables plus (1|Brood). Site, tide.h.l, tide.inc.out, MF.vs.OF, Human Disturbance Rate (HDr), Human Disturbance proportion of time(HDp), non-Human Disturbance (two variables as for Human Disturbance) and Age and mean.foraging.rate. As so: gm1<-lmer(Feeding~Site+tide.level+MF.vs.OF+HDr+HDp+NHDr+NHDp+Age+mean.for.rate+(1|Brood), data=AllBrood, REML=TRUE) I wished to put all the factors together to explore which ones really did influence the time spent feeding and used 'dredge' command to run all possible c...

...ld 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 has 4 plots assigned to one of the following treatments. Fruit intact and Vegetation intact Fruit intact and Vegetation removed Fruit removed and Vegetation intact Fruit removed and Vegetation removed Within each...

...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 ( )

...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 ( )