similar to: Add interpunct (dot) symbol to axis label?

Hi there, I'm looking for someone who can give me some hints how to make a nice levelplot. As an example, I have the following code: # create some example data # -------------------------------------- xl <- 4 yl <- 10 my.data <- sapply(1:xl, FUN = function(x) { rnorm( yl, mean = x) }) x_label <- rep(c("X Label 1", "X Label 2", "X Label 3", "X

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:

Dear Sir/Madam, I am encountering one of those alien computer momements one finds every so often in life. See the sequence below: > fish3.fis <-read.csv("emperor2.csv", check.names = TRUE, strip.white = TRUE) > colnames(fish3.fis) [1] "Month" "Year" "FishingArea" "SumOfTotalCatch" "CPUE" [6]

Hello, Given a vector of characters, or factors, denoting the date in the following way: 28/03/2000, is there a method of 1) Computing the earliest of these dates; 2) Using this as a base, then converting all the other dates into merely the number of days after this minimum date Many thanks Richard Hillary

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 been trying to download the latest version to my Macbook X version 10.6.8 from my institutions mirror http://cran.cnr.Berkeley.edu Usually is only takes minutes, but regardless of the browser or where I connect to the internet I have been unable to download because it would take upwards 2 days according to the download dialogue box. I'd really like to get the newest version to run some

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

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

Hillary, Richard M wrote: > Morning chaps, I have a little question for your capable minds... Say > I have an observed and predicted set of quants (in my case, length > frequencies by year and age/length), is there a way to use lattice > plots to plot the observed and predicted data together, panel by panel? > Obrigado/gracias (thankyou in Galego is?...) > Rich Hi Richard, If

Hillary, Richard M wrote: > Morning chaps, I have a little question for your capable minds... Say > I have an observed and predicted set of quants (in my case, length > frequencies by year and age/length), is there a way to use lattice > plots to plot the observed and predicted data together, panel by panel? > Obrigado/gracias (thankyou in Galego is?...) > Rich Hi Richard, If

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

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

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'm trying to make my PCA (princomp) colored. In my csv excel sheet, I have the first column numbered according to the groupings I want to assign to the PCA. I've played around with trying to set this first column as the color vector, but haven't had any luck. Any suggestions? Thanks, Hillary [[alternative HTML version deleted]]

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

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

hi, all: Just wonder if there is any suggestions in how to get around this cbind error. I created two character lists with identical length. First tried combine the lists together with cbind, then convert the lists to matrix, and tried again. Both faied. Any fix to merge the two lists/matrices? ll<- multiget(ftID, hgu95av2LOCUSID) > class(ll) [1] "list" > sym <-