similar to: R data query

Dear all, I am encountering some issues with my data and need some help. I am trying to run glm analysis with a presence/absence variable as response variable and several explanatory variable (time, location, presence/absence data, abundance data). First I tried to use the glm() function, however I was having 2 warnings concerning glm.fit () : # 1: glm.fit: algorithm did not converge # 2:

Hello all! I have a data frame with nine variables and 293 cases. (attached goes the csv file). I need to calculate a index using the sum of one variable (N) divided by the length of other variable (Fisherman), but for each day (Date). I tried to use that codes: by (cpue, cpue$Date, function (x) sum (cpue$N)/length(cpue$Fisherman)) tapply (cpue$Data, cpue$Data, function (x) {sum

I have a plotted a stacked panel graph (single x axis and multiple y axis) using the package zoo and would like to add a title for each separate panel. I am using the script: z <- with(mydata,zoo(cbind(mydata$Water.level,mydata$Submerged.plants, mydata$Crayfish.CPUE,mydata$Carp.CPUE),Year)) plot(z,type="b",pch=16,lty=2,xlab="Year",ylab=c("Metres","Realtive

I'm having trouble with some catch per unit effort data (CPUE, fisheries data). Some of the samples were "retained" and some "unretained," and they are entered as 2 separate entries for the same sampling event (Date and time). I want to calculate the total CPUE (so sum the "retained" and "unretained" number for each sampling event) and am having troubld

Dear list, I am new with ggplot2 and I have spend quiet some time putting together the following code to create the attached plot. However there's still a few things that I'm having trouble with! I would be grateful if someone can tell me how to fix (1) the colour of my bars into grey scales (2) removing the y-axis (species name) on the right figure to avoid duplication, and (3) fix the

Hi R users, I have a dataset with multiple variables and i'm trying to weigh average depths for fish species per year by their abundance (CPUE. I have tried the weighted.mean function but as i have two columns for the x value the lenghts differ with the w (CPUE). How do I solve this problem? So far I have tried this: data<-by(allspecies, list(allspecies$Depth, allspecies$Year),

Hi- I'm wrestling with some of my data apparently not being called into a GLM or an LM. I'm looking at factors affecting fish annual catch rates (ie. CPUE) over 30 years. Two of the factors I'm using are sea surface temperature and sea surface temperature anomaly. A small sample of my data is below: CPUE Year Vessel_ID Base_Port Boat_Lgth Planing SST Anomaly 0.127

Hi everyone, I have a problem with running a glm using a subset of my data. Whenever I choose a subset, in the summary the factors arent shown (as if the variable was a continuous variable). If I dont use subsets then all the factors are shown. I have copied the output from summary for both cases. Thanks for the help, Muri > model<-glm(log(cpue)~year,family=gaussian) Call: glm(formula =

Hi, I need to have both italics and standard font on the y axis. This is my script: plot(x,y,pch=16,xlab="metric",ylab="species CPUE") I want species in italics and CPUE in standard text. Any tips would be appreciated. Thanks. -- View this message in context: http://old.nabble.com/Different-fonts-on-the-same-axis-tp26482460p26482460.html Sent from the R help mailing list

Dear all, I'm trying to create a list of point patterns ppp.object {spatstat} in a loop. My dataset looks like this: > names(OT1);head(OT1);dim(OT1) [1] "EID" "latitude" "longitude" "month" "year" "CPUE" "TSUM" [8] "fTSUM" EID latitude longitude

Hola, Vaya desastre al mandar la cabecera de la base de datos. Al enviarlo, se veía bien, pero está visto que por el camino la cosa se torció. Siguiendo el consejo de Javier, he subido un pequeño fragmento al DropBox. He quitado algunas especies para no hacerlo muy largo. Espero que ésta vez no haya problemas. https://www.dropbox.com/s/q7zla50oq7owg8k/CPUE.csv?dl=0 Un saludo y gracias Juan

I'm having problems creating an axis label for a plot. y_label = expression(paste(plain('CPUE '),plain('(fish'),plain('x'),plain('h'^{-1}),plain(')'))) I'd like to replace the "x" with an interpunct symbol (dot). Any suggestions how to do this? Thanks in advance. [[alternative HTML version deleted]]

Hi -I'm running a GAM with 7 explanatory variables with a Poisson error structure. All of the variables are continuous so I'm getting error messages in R. cod.fall.full.gam.model<-gam(Kept.CPUE~s(HOUR)+s(LAT_dec)+s(LONG_dec)+s(meantemp_C)+s(meandepth_fa)+s(change_depth)+s(seds), data=cod.fall.version2,family=poisson) In dpois(y, mu, log = TRUE) ... : non-integer x = 5.325517

Greetings all The help file for GAMM in mgcv indicates that the log likelihood for a GAMM reported using summary(my.gamm$lme) (as an example) is not correct. However, in a past R-help post (included below), there is some indication that the likelihood ratio test in anova.lme(mygamm$lme, mygamm1$lme) is valid. How can I tell if anova.lme results are meaningful (are AIC, BIC, and logLik

Dear all, I am modeling the incidence of recreational anglers along a stretch of coastline, and with a vary large proportion of zeros (>80%) have chosen to use a zero inflated negative binomial (ZINB) distribution. I am using the same variables for both parts of the model, can anyone help me with R code to compute overall marginal effects of each variable? My model is specified as follows:

________________________________ From: Rowland Penny <rpenny at samba.org> Sent: Sunday, March 31, 2019 3:57 PM To: samba at lists.samba.org Subject: Re: [Samba] error in samba 4.10.0 while using samba-tool domain provision On Sun, 31 Mar 2019 11:10:12 +0000 Emad Yousuf Said Al Kharusi via samba <samba at lists.samba.org> wrote: > Dear samab developer, > > Im getting the

R-help, Sorry for posting again the same question (dated 26-03-2007) but all my mails have been sent to the recycle bin without possibility of recovering and thus I don't know if anyone has answer my query. Here is the original message: I'm applying a gam model (package mgcv) to predict relative abundances of a fish species. The covariates are year, month, vessel and statistical

Dear list fellows, I want to study time series and use R to analyse time series of fishing data from several species (landings and cpue) investigating the correlation between them and with environmental factors (water temperature, wind, etc.). Searching at Amazon I found three books with examples in R: Time Series Analysis: With Applications in R by Jonathan D. Cryer and Jonathan D. Cryer

Hi All, I am running quantile regression in a "for loop" starting with 1 variable and adding a variable at a time reaching a maximum of 20 variables. I get the following warning messages after my "for" loop runs. Should I be concerned about these messages? I am building predictive models and am not interested in inference. Warning messages: 1: In

Hello. I am a beginer in R and I can not implement the KhmaladzeTest in the following command. Please help me!!!!!!!!!!! PD: I attach thw results and the messages of the R program R : Copyright 2006, The R Foundation for Statistical Computing Version 2.3.1 (2006-06-01) ISBN 3-900051-07-0 R es un software libre y viene sin GARANTIA ALGUNA. Usted puede redistribuirlo bajo ciertas