search for: bodysize

Dear R-friends, I have to simple questions. First I would like to exclude some columns from a dataframe and after I need select rows that satisfy some conditions. My data frame looks like Region Species Bodysize Weigth Age Africa Sp1 10.2 20 2 Africa Sp2 12.2 12 2 Africa Sp3 15.3 18 3 Africa Sp4 11.5 40 4 Brazil Sp1 10.2 40 3 Brazil Sp2 22.2 32 2 Brazil Sp3 12.3 28 3 Brazil Sp4 21.5 30 5 And I need for example only "columns" Bodysize Weigth and Age when Region==&quot...

Dear R-experts, I have a table with following collumns: State, SamplePlot, Species and BodySize. I sampled bird species at 34 SamplePlots and 5 States (regions) monthly during two years. On each bird record I measured bodysize and identified the species. So I have many records of each species (about 150 species) at each SamplePlot and each Region (State). Now I would like bootstrap the...

...sync buffer until it syncs on page 6 and ogg_sync_pageout() returns > 0. Then I ogg_stream_pagein(). It recognizes that a reset happened -- "if(pageno!=os->pageno){" -- then inside checks the 'continued' flag and eats up all the segments of the packet in page 6, then 'bodysize' is 0 and the function returns. Then I ogg_stream_packetout() and it returns 0 because there is no packet data at all. Then I ogg_sync_pageout() and ogg_stream_pagein() again to get page 7. But now, the logic in ogg_stream_pagein() that eats up continued packet segments does not get triggere...

...of Biological Sciences Queen Mary, University of London 'Phone +44 (0)20 7882 7720 http://www.qmw.ac.uk/~ugbt794 http://www.mopane.org Here's the code: switchline<- function(X,Y,Intmin,Intmax,Intgap,Slopemin,Slopemax,Slopegap) { # X = unimodal variable (e.g. filename$bodysize) # Y = bimodal variable (e.g. filename$hornsize) # Intmin = Minimum switchline intercept # Slopemin = Minimum switchline slope # Intmax = Maximum switchline intercept # Slopemax = Maximum switchline slope # Intgap = Interval between each inter...

Dear R-friends, Unfortunately the tables that I "past" on last email gone with bad visual structure. So I send it again. Sorry to do this so confuse. Miltinho ==== Table1 - Bird records State,SampleSite,Species,Bodysize SaoPaulo,Site1,Spp01,4.39 SaoPaulo,Site1,Spp04,4.05 SaoPaulo,Site1,Spp01,2.75 SaoPaulo,Site1,Spp02,8.18 SaoPaulo,Site1,Spp02,0.80 SaoPaulo,Site1,Spp02,9.37 SaoPaulo,Site2,Spp02,2.85 SaoPaulo,Site2,Spp01,1.13 SaoPaulo,Site2,Spp03,9.83 SaoPaulo,Site2,Spp01,8.24 SaoPaulo,Site2,Spp01,5.38 SaoPaulo,Site...

...wo years of data for some species however, I would like to treat each year separately so I believe I need to account for this by nesting year (as a factor) within body size (also a factor). My first question is whether or not the code below is correct for the models outlined above? data= (mixed) fBodySize <- factor(mixed$BodySize) fYear<-factor(mixed$Year) groupedData(ABUNDANCE~RoadDensity | fBodySize/fYear, data = mixed) #random intercept m1<-lmer(ABUNDANCE~RoadDensity +(1|fBodySize/fYear), family=poisson(log), data = mixed) # random slope m2<-lmer(ABUNDANCE~RoadDensity +(-1 + R...