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...ences into a presence-only table (3 columns) with the names of the species (1st column), the lat information of the sites (2nd column) and the lon information of the sites (3rd column), as given in the below example? Thanks a lot for your help! Christian my dataframe: site lat lon spec1 spec2 spec3 spec4 site1 10 11 1 0 1 0 site2 20 21 1 1 1 0 site3 30 31 0 1 1 1 my desired new dataframe: species lat lon spec1 10 11 spec1 20 21 spec2 20 21 spec2 30 31 spec3 10 11 spec3 20 21 spec3 30 31 spec4 30 31 -- Christian Hof, PhD student Center for Macroecology & Evolution University of Cop...

dear R-friends, i`ve got a large dataset of vegetation-samples with about 500 variables(=species) in the following format: 1 spec1 1 spec23 1 spec54 1 spec63 2 spec1 2 spec2 2 spec253 2 spec300 2 spec423 3 spec20 3 spec88 3 spec121 3 spec200 3 spec450 . . this means: sample 1 (grassland) with the species (=spec) 1, 23, 54, 63 is it possible to get a following data-structure for further analysis? 1 2 3 ...... spec1 1 1 0 spec2 0 1 0 spec3 ... spec253 0 1 0 ... spec450 0 0 1 with...

Hi R-helpers, I have a dataframe (called data) with trees in rows (n=100) and insect species (n=10) in columns. My tree IDs are in a column called TREE and each species has a column labeled SPEC1, SPEC2, SPEC3, etc... I wish to randomize the values in my dataframe such that row and column totals are held constant, i.e. in my randomized data each tree will have the same number of individual insects as in the real data (constant row totals) and each species will have the same number of individuals as in t...

...he dataframe Y, species,,,, #where Y=number of columns in the dataframe ,Q,Q,Q,Q,Q #where the number of Qs=the number of columns in the dataframe Those 3 .csv header lines would be followed by dataframe, which consists of one row containing column headers and X "data" rows: ,spec1,spec2,spec3,sp3c4,spec5 #these are the dataframe's column headers plot1,15.84,0,0,792,7 #this is an example "data" row In case the above is unclear, I have also attached a small .csv as an example of what the output should look like. Thank you. Mark

...Formula: ~1 | Replicate %in% Species (Intercept) Residual StdDev: 4.973931 4.266302 Fixed effects: Max_speed ~ Species Value Std.Error DF t-value p-value (Intercept) 23.792040 4.798143 39 4.958593 0 Spec2 -7.121766 6.747930 0 -1.055400 NaN Spec3 -9.779830 6.725391 0 -1.454165 NaN So I get variance within species and within replicates, but what the hell are these zero DF's, leading to zero p's and how should I interpret them? Another model I tried was: mod2<-lme(Escape.parameter~Species, random=~1|Replicate) Random...

...<e40d78ce0907080854l243f9fd9h59e5accf2aeb47b6@mail.gmail..com> Content-Type: text/plain Hi R-helpers, I have a dataframe (called data) with trees in rows (n=100) and insect species (n=10) in columns. My tree IDs are in a column called TREE and each species has a column labeled SPEC1, SPEC2, SPEC3, etc... I wish to randomize the values in my dataframe such that row and column totals are held constant, i.e. in my randomized data each tree will have the same number of individual insects as in the real data (constant row totals) and each species will have the same number of individuals as in t...