search for: kstest

Dear R-users Idea: Analysing tree height frequency with hist(), normal distribution (ks.test & shapiro.test) and skewness (package e1071 - thanks a lot for this useful package)as an indication of possible self-thinning in an experimental tree stand. Problem: Results from the ks.test and the shapiro.test are not comparable (see example of both tests). Tree height is a nice continuous

...Anyway, I look for a test which backens me up that my data is gumbel-distributed. I estimated the gumbel-parameters mue and beta and after having a look on resulting plots, in my opinion: that looks quite good! You can the plot, related data, and the rscript here: www.jochen-bauer.net/downloads/kstest/Rplots-1000.pdf http://www.jochen-bauer.net/downloads/kstest/rm2700-1000.txt http://www.jochen-bauer.net/downloads/kstest/rcalc.R The story about the data: I am wondering what test I should choose if KS-Test is not appropriate? I get real high p-Values for data-row-1-histogram-heights and fitted-...

...lt; 0.05) test3 <- ks.test(samp1, samp2,alternative = c("two.sided"), exact = TRUE) pks.test[i] <- (test3$p.value < 0.05) } pow.ttest[j] <- sum(pt.test)/sim.size # Calculate powers for jth setting pow.wtest[j] <- sum(pw.test)/sim.size pow.kstest[j] <- sum(pks.test)/sim.size } # End of j loop Error in pt.test[i] <- (test1$p.value < 0.05) : object "pt.test" not found Chat on a cool, new interface. No download required. Go to http://in.messenger.yahoo.com/webmessengerpromo.php [[alternative HTML version...

Hi, I got two data point vectors. Now I want to make a ks.test(). I you print both vectors you will see, that they fit pretty fine. Here is a picture: http://www.jochen-bauer.net/downloads/kstest-r-help-list-plot.png As you can see there is one histogram and moreover there is the gumbel density function plotted. Now I took to bin-mids and the bin-height for vector1 and computed the distribution-values to all bin-mids as vector2. I pass these two vectors to ks.test(). Are those the righ...