Re: [datatable-help] := and ':=" throwing errors

Thank you, I did not even think of wrapping in ( ) for the ':=" scenario. Feeling a bit silly about that. Just fooling around I did discover that dt[, "new.var" := fun(var), by = something] does work. For some reason I had been wrapping that (go figure), i.e. dt[, .("new.var" := fun(var)), by

Re: [datatable-help] Correcting for transience in mark-recapture data with R

Hi Yasir, For now, I am trying to run the script as identical as possible as the way Madon and her colleagues ran it in her paper. When I removed the function(data=data) it did not change anything to the results, hence why I just left it as it is. Cheers, Tim On Fri, Apr 1, 2016 at 4:35 PM,

Re: [datatable-help] Correcting for transience in mark-recapture data with R

Why don't you just simply read the CSV with read.csv instead of that function in the beginning? Le ven. 1 avr. 2016 7:36 PM, TimvdStap a écrit : > Hi everyone, > > I'm working on estimating the population size of Risso's dolphins in the > Azores using mark-recapture

[datatable-help] Correcting for transience in mark-recapture data with R

Hi everyone, I'm working on estimating the population size of Risso's dolphins in the Azores using mark-recapture data, whereby I take transient individuals into account (i.e., I estimate a transience-corrected population size). For this, I use an R script, as used in Madon et al (2013) (see link

[datatable-help] prediction.strength test prediction strength with an separate test set?

I am at the moment using prediction.strength{fpc} to test how well my kmeans clustered data classifies using knn. I do that by calling this function. prediction.strength(training, Gmax = 10, M = 5, classification = "knn", count = TRUE,nnk = 20) Is it possible to provide a separate test set to