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p#	new file:   runwikiq.sh
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lib-01-sample-datasets.R Normal file
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# Functions for creating samples of datasets
# Copyright (C) 2018 Nathan TeBlunthuis
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
sample.by.wiki <- function(dt,outcome,N.per.wiki=30){
set.seed(0)
sample.params <- dt[,.N,by=wiki.name]
sample.params[,group.sd := dt[,.(group.sd=sd(.SD[[outcome]])),by=wiki.name]$group.sd]
sample.params[,p.in.group := N / nrow(dt)]
sample.params[,min.N := min(N)]
sample.params[,n.from.group := pmin(min.N/(1-group.sd), N)]
sample.params[,p.sampled := n.from.group/N]
sample.params[,weight := 1/p.sampled]
dt[sample.params,":="(prob=p.sampled,weight=weight),on=.(wiki.name)]
sample.idx <- sample(nrow(dt),size=sum(sample.params$n.from.group,na.rm=TRUE),prob=dt$prob)
return(dt[sample.idx])
}
sample.newcomers <- function()
{
wikis.to.remove <- newcomers[,.N,by="wiki.name"][N<30]$wiki.name
remember(nrow(wikis.to.remove),"n.wikis.insufficient.newcomers")
newcomers.presample <- newcomers[!(wiki.name %in% wikis.to.remove)]
newcomers.sample <- sample.by.wiki(newcomers.presample,"survives")
return(newcomers.sample)
}
sample.ns4.edits <- function(){
wikis.to.keep <- ns4.reg.edits[,.(.N,N.reverts=sum(reverted)),by=wiki.name][(N>30)&(N.reverts > 30)]
ns4.reg.edits.sub <- ns4.reg.edits[wiki.name %in% wikis.to.keep$wiki.name]
ns4.reg.edits.sample <- sample.by.wiki(ns4.reg.edits.sub,"reverted")
return(ns4.reg.edits.sample)
}
sample.wiki.data <- function(){
## just choose 100 random wikis
wikis.to.keep <- sample(unique(wiki.data$wiki.name),100)
wiki.data.sample <- wiki.data[wiki.name %in% wikis.to.keep]
return(wiki.data.sample)
}