search for: nutrients

Hi Folks, I think I have searched exhaustively, including, of course R-help (D. Bates, S. Graves, and others) and but I remain uncertain about testing fixed effects with lmer(..., family=binomial). I gather that mcmcsamp does not work with Do we rely exclusively on z values of model parameters, or could we use anova() with likelihood ratios, AIC and BIC, with (or without)

...ction updater(input, item) { 2. var item_data = item.getElementsByTagName(''span'')[0]; 3. var pars = ''item-data='' + item_data.innerHTML + ''&input-text='' + input.value; 4. new Ajax.Updater(''nutrients'',''fooddb/browser/nutrients'', {method : ''get'', parameters : pars, onFailure: reportError, onComplete: reportComplete, onSuccess: reportSuccess}); 5. } 6. function reportError(request) 7....

Hi folks, Warning: I don't know if the result I am getting makes sense, so this may be a statistics question. The fitted values from my binomial lmer mixed model seem to consistently overestimate the cell means, and I don't know why. I assume I am doing something stupid. Below I include code, and a binary image of the data is available at this link:

...var item_data = > item.getElementsByTagName(''span'')[0]; > 3. > var pars = ''item-data='' + > item_data.innerHTML + ''&input-text='' > + input.value; > 4. > new > Ajax.Updater(''nutrients'',''fooddb/browser/nutrients'', > {method : ''get'', parameters : pars, onFailure: > reportError, > onComplete: reportComplete, onSuccess: > reportSuccess}); > 5. > } > 6. > functio...

Hi everyone, I am trying to construct a glm and am running into a couple of questions. The data set I am using consists of 6 categories for the response and 6 independent predictors representing nutrient concentrations at sample point locations. Ultimately I'd like to use the probabilities for each response category in a simulation model such that these probabilities are used to define a

Hello. I'm running a generalized linear model and am interested in using the random effects that are output for further analysis. My random effect is interacting with two different fixed effects (which which are factors with two levels each). When I retrieve the random effects I get something like this: (Intercept) nutrient (Intercept) light (Intercept) Aa-0 0.59679192

...and I've been unable to find the answers to my questions by trawling through the R help archives. I'm hoping someone here can help me. I'm running an analysis on Seedling survival (count data=Poisson distribution) on restoration sites, and my main interest is in determining whether the Nutrients (N) and water absorbing polymer Gel (G) additions to the soil substrate contribute positively to the survival of the seedlings, over a 3 year time period (for simplicity I'm just using 3 time periods, each in the same season for the 3 successive years). Fixed factors: Nutrients (0 and 1), Gel (...

Dear All, I am a researcher doing research in plant growth and I have a statistical problem that seems to not be able to handle. Recently, I conducted an experiment about plant growing in three different nutrient-level sediments. I harvested these every three week (three harvests in all). Some growth traits of these plants were recorded (e.g. total biomass, leaf biomass and stem biomass). In

Dear list, I've been learning how to make a 2x2 paneled dotplot in lattice without any previous experience using lattice. my code thusfar is: nut<-read.table("/Users/colinwahl/Desktop/nutsimp_noerror.csv", T, sep= ",") attach(nut) nut1<-data.frame(Nitrate, Total_Nitrogen, Phosphate, Total_Phosphorus) nut1<-as.matrix(nut1) rownames(nut1)<-group

Dear All, I have some time series data where X=month and Y=nutrient concentration (I can have several concentration data for one month). Is there a way to fit for it an Harmonic Function. Is there a package, script,etc which I can use? Thx -- View this message in context: http://r.789695.n4.nabble.com/Fitting-a-Harmonic-Function-to-Time-Series-Data-tp3901266p3901266.html Sent from the R help

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...and I've been unable to find the answers to my questions by trawling through the R help archives. I'm hoping someone here can help me. I'm running an analysis on Seedling survival (count data=Poisson distribution) on restoration sites, and my main interest is in determining whether the Nutrients (N) and water absorbing polymer Gel (G) additions to the soil substrate contribute positively to the survival of the seedlings, over a 3 year time period (for simplicity I'm just using 3 time periods, each in the same season for the 3 successive years). Fixed factors: Nutrients (0 and 1), Gel (...

Dear R-Experts. I collected different datas about Nitrogen content (mg/ml) in Dung. The dung was eighter fresh (day=0) or had different ages (15,29,47) to observe nutrient changes over time. Now I like to draw a boxplot. boxplot(nmgml~day) abline((nmgml~day) The Problem is, that the boxplot considers the day values as groups and not as time series (neighter when the days are numeric or

I don't know if there is a way to use the scale relation free argument in ggplot2 like in lattice. I have a feeling that there is not, but I would like to make a plea for this feature. It would be nice to be able to plot Total Inorganic Nitrogen Total Phosphorus and the ratio of the two- the numbers on the axis are not related, but the previous two are surely related to the last (this ratio

Hey, all. I'm working on a data set with a broken stick linear regression where I know one of the two slopes. It is a negative linear function until the line intersects with the x-axis, at which point it becomes 0. It is not a nonlinear asymptotic function, and, indeed, using negative exponential or logistic types of fits as an approximation has tended to lead to an under or

...gt; Predatory.Fish.Abundance, bottom.up.herb.fish, NA Prev.Year.Herbivorous.Invert.Abundance -> Predatory.Invert.Abundance, bottom.up.herb.invert, NA Prev.Year.Herbivorous.Invert.Abundance -> Predatory.Fish.Abundance, bottom.up.herb.invert.fish, NA Mean.Temp.C -> Kelp.Abundance, mean.nutrients.from.temp, NA Prev.Year.Predatory.Invert.Abundance -> Predatory.Invert.Abundance, prev.year.pred.invert, NA Prev.Year.Predatory.Fish.Abundance -> Predatory.Fish.Abundance, prev.year.pred.fish, NA Prev.Year.Herbivorous.Fish.Abundance -> Herbivorous.Fish.Abundance, prev.year.herb.fish,...

Hello guys I am new to this list and for R too. I am wondering if there is a patch for the SPSS reading code on the foreign package, in order to be able to read long variable names. Right now read.spss() just trunc the names to 8 characters. Or if someone could help me on other way: I have to process everyday a lot of SPSS Syntax Files and Dat files that come from one system that can only export

Hi, I am trying to run a 1D nutrient-phytoplankton-zooplankton model in R using the package 'deSolve'. The code is shown below: DEPTH = seq(2.5, 147.5, 5) NPZ = function(t, state, params){ with(as.list(params), { P <- state[1:NB] Z <- state[(NB + 1): (2*NB)] N <- state[(2*NB + 1): (3*NB)] F.I = function(z, hr){ I0 = function(hr){

I am running 1.3.1 on a Windows (NT 4.0) machine. I've fit a nonlinear model intended to predict crop yield from nutrient information, and want to use the profile function. If I type say, profile(simparj.fm) I get the following error message: "Error in prof$getProfile(): number of iterations exceeded maximum of 5.25515e-308" I used the profiler function to profile simparj,fm step

Dear All, I am working with linear mixed-effects models using the lme4 package in R. I created a model with the lmer function including some main effects, a two-way interaction and a random effect. Now I am searching how I could incorporate an interaction between the random effect and one of the fixed effects. I tried to express the interaction in: