search for: species4

I was just thinking of a way to present data and if it is possible in R. I have a data frame that looks as follows (this is just mockup data). df location,"species1","species2","species3","species4","species5" "loc1",0.44,0.28,0.37,-0.24,0.41 "loc2",0.54,0.62,0.34,0.52,0.71 "loc3",-0.33,0.75,-0.34,0.48,0.61 location is a factor while all the species are numerical vectors. I would like to present this as a table (or something that looks like a tab...

...h perm.t.test() from deducer. Have fun with this trivial undergraduate problem. Code: c(rep("A", 5), rep("B", 5))->Faktor matrix(rnorm(100, mean=20, sd=4), nrow=10, ncol=10)->M colnames(M) <- c("species1","species2", "species3","species4","species5","species6","species7","species8","species9", "species10") ###Conventional T-Test to test for differences of each species per factor lapply( M, function(x) t.test(x~ Faktor) ) ###Trying it for perm.t.test witho...

...here correspond to ?species? in such analyses. My data looks like this: Trait1 Trait2 Trait3 Trait4 Trait5 Trait? Species1 228.44 16.56 1.66 13.22 1 short Species2 150.55 28.07 0.41 0.60 1 mid Species3 NA 25.89 NA 0.55 0 large Species4 147.70 17.65 0.42 1.12 NA large Species? 132.68 NA 1.28 2.75 0 short Because the traits have different variable types, different measurement scales, and also missing values for some species, I have calculated the matrix of species distances using the Gower coeffic...

Dear List, I often have to merge two or more data frames containing unique row names but with some columns (names) common to the two data frames and some columns not common. This toy example will explain the kind of setup I am talking about: mat1 <- as.data.frame(matrix(rnorm(20), nrow = 5)) mat2 <- as.data.frame(matrix(rnorm(20), nrow = 4)) rownames(mat1) <- paste("site",