Displaying 20 results from an estimated 27 matches 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.
--
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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
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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
( )