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Hi all, I have got 2 function (see bellow) which are simplifications of what I need to do. These functions are precisely the same, except for the last line. My question is, why doesn't function testA work in the same way as function testB. Both functions produce two objects, "a" and "b" that must merged with rbind. The difference is that in testA, I specify the name

Dear R users: I have got a simple question that has been bothering me for a while. Given a certain character vector, I would like to get in a separate vector a fragment of text, in this case the 3rd and 4th letters of each element. So, if: v<- c(“stratosphere”, “mesosphere”, “troposphere”) I want to obtain a different vector like this: c(“ra”, “so”, “op”) Thanks in advance

Dear list, why does the distance between the axis labels and the tick marks looks different for x axis and y axis in the plot (see code below). In fact, the x axis labels look furthest from the tickmarks than in the y axis. How can I make them look the same? par(mfrow=c(1,1), cex.axis = 0.5, cex.lab = 0.5) plot(1,1, axes = F) axis(1) axis(2) Thanks in advance Jonas [[alternative HTML version

Dear list, I am trying to fit some mixed models using packages lme4 and nlme. I did the model selection using lmer but I suspect that I may have some autocorrelation going on in my data so I would like to have a look using the handy correlation structures available in nlme. The problem is that I cannot translate my lmer model to lme: mod1<- lmer(y~x + (1|a:b) + (1|b:c), data=mydata)

Dear list, I have a character vector such vec.names<- c("a", "b") It happens that I have also two R objects called "a" and "b" that I would like to merge. Is it possible to do something like cbind(vec.names[1], vec.names[2]) ending up with the same result as cbind(a,b) Bellow is a reproducible example of what I need to to: dat<-

Dear list: I have a dataset of geographical data that looks like this example data: dat<- data.frame( lon = c(rnorm(1000, mean=-10), rnorm(1000, mean=10), rnorm(1000, mean=5)), lat = c(rnorm(1000, mean=40), rnorm(1000, mean=30), rnorm(1000, mean=0))) plot(dat$lon, dat$lat) My positions are clearly clustered (in this example there are 3 clusters). Is there any R algorithm that allows me to

Dear list: I am trying to calculate the intersection area between two irregular polygons (see example data below). set.seed(1234) theta <- seq(0, 2 * pi, length=(100)) poly1<- cbind(c(0 + 1 * cos(theta) + rnorm(100, sd=0.1)), c(0 + 2 * sin(theta))) poly2<- cbind(c(0 + 2 * cos(theta) ), c(-1 + 1.5 * sin(theta)+ rnorm(100, sd=0.1))) plot(x, y, type = "n", ,

Dear R users, I am trying to read a huge file in R. For some reason, only a part of the file is read. When I further investigated, I found that in one of my non-numeric columns, there is one odd character responsible for this, which I reproduce bellow: In case you cannot see it, it looks like a right arrow, but it is not the one you get from microsoft word in menu "insert symbol". I

Dear list, I have a question and I'm going to give an example of my problem f<- function(d1, d2, d3) { d<- d1*d2/d3 return(d) } v1<- 1 v2<- 2 If I try f(v1, v2, v3) Error in f(v1, v2, v3) : object "v3" not found I obviously got the above error message. I would like to add something to my function to allow me to get a certain value (say zero) if one of the arguments is