similar to: Titles on panel graphs created in zoo

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 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

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]

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 =

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]]

Hello list. In browsing through this lists' archives I was unable to locate a message which completely resolved the problems and outlined a solution regarding roaming profiles. My situation is that I am attempting to set up a small lab of around 10 machines currently running win95 to a linux gateway server running samba. I have been successful in getting the network up, running, and

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

Hello: I would like to run a Cox proportional hazards regression on crayfish dislodgement at different water velocities by crayfish size class and substrate (rock) type. Additionally, there is a covariate variable, rock movement that may be influencing crayfish dislodgment. So... I have crayfish size class (CFSZCL) and substrate type (SUBSZ) as fixed factors influencing the dislodgment of

Rers: I have some ecological data (stream velocity vs. % cover of submerged weeds) that shows strong evidence of a thresholding step-function, e.g. below some velocity, % cover ranges from 0% to 100% (with no apparent relationship to velocity within this range of velocities), but above a certain "threshold" velocity, the % cover does not appear to exceed, say, 10%. There are good

Hi, i have a little question but not sure if exist in centos. Theres any way to reotre all centos to default? like a goback or a security backup? im realtive new with this and want to do a full back up of centos before trying to install things. Also i really prefer to run a commands instead of do a fresh install of centos. Theres any like this?

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:

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