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...2 ny > x$part [1] m?ll?s ny Levels: m<U+00E5>ll<U+00F8>s ny Thanks! -- Huidong Tian, Postdoc Swedish University of Agricultural Sciences Department of Aquatic Resources Institute of Marine Research Turistgatan 5, 45330 Lysekil, Sweden Phone: +47 40624112 Email: tienhuitung at gmail.com

It's important to identify the distribution of a dataset before do analysis and inference. Is there any method to identify the distribution of a given dataset? For example, I want to identify a dataset belong to normal of poisson distribution, how can I do that? -- View this message in context:

Dear friends, I will be very happy if anyone tell me the way to change work directory permanently? I mean not use the function setwd() which can only change temporary, when you close the console, it will the old directory. Sys.setenv(R_USER = '') also doesn't work. [[alternative HTML version deleted]]

Hi, I want to create a data frame including a column containing some special characters, like "ø". when I print that data frame out, the content change to <U+00F8>, and when save the data frame to a txt file, the content keep in that style, but I need it in its original form, anybody can explain? > x <- data.frame(part = c("målløs", "ny")) > x

Dear R users, I read your methods of extracting the variance explained by each predictor in different places. My question is: using the method you suggested, the sum of the deviance explained by all terms is not equal to the deviance explained by the full model. Could you tell me what caused such problem? > set.seed(0) > n<-400 > x1 <- runif(n, 0, 1) > ## to see problem