search for: alfredotello

...r,names.arg=levels(db$date),las=2,cex.axis=0.8,cex=0.8) This labels all the tickmarks in my barplot, which is the default behavior. I would like to label every other tick mark in the barplot --> 1,3,5,7 and so on. Thank you very much for your help! All the best, A -- Alfredo Tello (http://alfredotello.com) Sustainable Aquaculture Group Institute of Aquaculture University of Stirling Scotland, UK. [[alternative HTML version deleted]]

Hi All, I'd like to randomly sample a vector N times, where each successive random sample increases in size. I have realised that the function sample does not take vectors for arguments. For example, x<-rnorm(20,0,1) sample(x,c(1,2,3)) ## will only return one random sample of size 1. The trick seems to be getting past the size argument of the function. I've tried different things

Hi Everyone, I have a 2-dim data.matrix(e.g., table1) in which row1 specifies a range of values. row2 - rown specify the number of times I want to replicate each corresponding value in row1. I can do this with the following function: rep(c(table1[1,]),c(table1[X,])) #where X would go from 2 - n. Now, I can do this manually by changing the values of X and save each resulting array/vector in

Hi Folks, Ran into something I'd really like to do in R simply/elegantly, but my R - coding skills seem surpassed. This is the thing. Imagine the following data: labs<-c("abcdef","abcgg","tgthefdk","tgtijuel","tgtnjmoi","gbnt","dlift") dat<-c(0.5,0.25,1,2,16,0.250,4) dframe<-data.frame(labs,dat) I would like to

Hi Folks, I'm hoping someone could help me a bit. I have plotted the following: ########################################### tiff("plot7.tiff",units="cm",width=15,height=36,res=700) layout(matrix(c(1,2,3,4,5,6),3,1),widths=lcm(c(15)),heights=lcm(c(12,12,12)),respect=TRUE) plot.t1<-plot(data.dist,flot1.bray.hell,xlab="",ylab="Bray-Curtis dissimilarity

Hi There, Just a question regarding the function that is specified to boot (I have read the help, the manual and online examples.........). The description of boot says that the second argument of "statistic" (non parametric bootstrap) must be a vector of indices, frequencies or weights which define the bootstrap sample. If what I will be bootstrapping is e.g., the mean of a vector of