similar to: two lmer questions - formula with related variables and output interpretation

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

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.

Hi R experts, I am interested on the effects of two dietry compunds on the growth of chicks. Rather than extracting linear growth functions for each chick and using these in an analysis I thought using ReML might provide a neater and better way of doing this. (I have read the pdf vignette("MlmSoftRev") and "Fitting linear mixed models in R" by Douglas Bates but I am not

Dear R users, I am trying to fit a GLMM using lmer to a dataset where the brood identity (LNRREIR) is nested within mothers identity. The reason for this is that each mother can have several nests within each year and also between years. I am running the following script (actually I have tried all different combinations with LNRREIR and mother): mod <- lmer(sr~z.hatchday +

We use .note descriptors with ELF on OpenVMS.  We have self-describing entries with tags and lengths.  The compiler encodes stuff for the linker such as compiler version, compilation date-time, module name, final severity of the compilation, etc.  The linker itself then adds/modifies the .note entries to insert linker version, link date/time, etc.  We also use .notes to record floating point

Besides supporting newer version of xfs file system, this patch also does some code refactoring and fix completely broken listing and searching on v2-3 node directories. Cc: Gene Cumm <gene.cumm at gmail.com> Cc: H. Peter Anvin <hpa at zytor.com> Cc: Raphael S. Carvalho <raphael.scarv at gmail.com> Cc: Ady <ady-sf at hotmail.com> Signed-off-by: Paulo Alcantara <pcacjr

Hi I'm encountering an error/warning when doing multiple comparisons with the package multcomp on a coxme model. My data: I'm looking at the removal of brood from the nest according to three treatments I applied on the brood. The brood and the workers caring about the brood in the nest, belonged to different colonies. Factor: treatment (3 levels: tx,uv,meta) Random effect 1: origin of

hello everyone, I'm modelling in lmer an average chick weight defined as "Total.brood.mass ~ offset(chick.number), with three fixed and two random effect. Next, I want to use function dredge from MuMIn package for model averaging. Not sure why, but in consequence the offset variable is treated as a predictor, so I get a table that mixes models with and without that offset term (the first

Hello there, Using R 2.4.0 on Solaris (Unix): I am trying to control the X axis range on a simple time of day plot. I made a test program (below) that gets file time stamp information from the files in the directory where R starts. The goal of the test program is to plot the time of day of file creation on an x axis that spans a user-specified range (like 12:00:00 to 15:00:00). If I allow

Trying to find a quick/slick/easily interpretable way to collapse a data set. Suppose I have a data set that looks like this: h <- structure(list(INDEX = structure(1:6, .Label = c("1", "2", "3", "4", "5", "6"), class = "factor"), TICKS = c(0, 0, 0, 0, 0, 3 ), BROOD = structure(c(1L, 1L, 2L, 3L, 3L, 3L), .Label =

I am trying to read some data off the zillow site. Newbie to xml, html, parsing and the xml package. I've been able to load the web page I'm interested with the following code but I'm not sure of the next step to get the information I'm interested in into R : library(XML) url <- "http://www.zillow.com/homes/511 W Lafayette St, Norristown, PA_rb" doc <-doc <-

Hello, everyone. I'm hoping to prevent myself from doing a lot of pointing and clicking in Excel. I have a dataframe of bird nest check observations, in which I know the date of the first check, the date of the second check (both currently in Julian date format), the status of the nest at the second check (alive or failed), and the date that the nest hatched (i.e. changed from Incubation

Hello! So, my problem is following. I have bird offspring growth data and I'd like to model individual growth curves (aim is to study asymptotes and inflection points) with nlme according to Pinheiro & Bates 2000: first using nlsList to generate individual curves and then nlme to study the parameters and fixed effects. The data is structured to two levels. I have broods and

Hi R folk, I have a time series of scalar downstream velocity data measured across a tidal channel. The variables are the locations in bins across the channel, the samples are over time. The fluctuation over the tide cycle is an enormous fraction of the time variation in the data ... 96%. The spectral energy of the tide is concentrated in a couple bands that make up the major constituents of the

Dear All, I would like to make partial sums (or means or any other function) of the values in intervals along a sequence (spatial transect) where groups are defined. For instance: habitats<-rep(c("meadow","forest","meadow","pasture"),c(10,5,12,6)) observations<-rpois(length(habitats),2)

Hi, I am new in statistics and i manage to make the linear model analysis but i have some difficulties in explaining the results. Can someone help me explalinig the output of my linear model analysis ? My data are with 2 variables habitat (e,s) and treatment (a,c,p) with multiple trials within. Thank you in advance Call: lm(formula = a$wild ~ a$habitat/a$treatment/a$trial) Residuals: Min

Hi: I have the following dataset in R( thanks Gabor for your help) but now the problem is that all the dashes are converted to questions marks ("?") I?am trying to get the dashes back using: mydf <- data.frame(lapply(mydf,function(x) replace(mydf,"?"(x),"-"))) but isn't working. I also tried: mydf <- replace(mydf,mydf=="?","-)")

Hi: I?need?help with a dataframe(see?pic attached). is a mix of dates and text. I want to create a table either?using latex function from hmisc or xtable. I already know how to do this but the problem is getting the dataframe into R. I don't have a reproducible example?but I am hoping that the pic attachment will make it to you.?If someone is interested in helping with this task I could send

Dear all, I want make correction depth of a bathymetric data set. To do so, I have the depth data set sample every second (a depth at each second) in one hand, and in the other hand, I have a tide variation level data set sample every 250 ms. The time register in each data sets (tide and bathymetric) is express in seconds followinf this format : hh:mm:ss.ss I would like to rectify the depth

Hi: I?need?help with a dataframe. is a mix of dates and text. I want to create a table either?using latex function from hmisc or xtable. I already know how to do this but the problem is getting the dataframe into R. I don't have a reproducible example?.?If someone is interested in helping with this task I could send the excel file?offlist. Thanks Date????????????????????????????