I have a data.frame y as below, and I want to calculate the "weighted modal
value", where v... are the values, and w... are the weights.
At tha moment I am doing it as shown below, but my data.frame has 165900 and
more rows, and it takes ages to do the calculations. I am sure there is a
much better way.
Can somebody help me in this regard?
Thanks,
Rainer
> y
v1 v2 v3 w1 w2 w3
158726 3 3 3 7 7 6
158727 3 3 3 7 7 6
158728 3 3 3 7 7 6
158729 3 3 3 7 7 6
158730 NA NA NA NA NA NA
158731 NA NA NA NA NA NA
>
p <- apply(
y,
1,
function(x) {
if (sum(is.na(x))==length(x)) {
return(NA)
} else {
result <- aggregate(
as.numeric(x[4:6]),
list(as.numeric(x[1:3])),
sum)
result <- result[[1]][which.max(result[[2]])]
return(result)
}
}
)
> p
158726 158727 158728 158729 158730 158731
3 3 3 3 NA NA
>
--
Rainer M. Krug, Centre of Excellence for Invasion Biology, Stellenbosch
University, South Africa
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
