Not sure if there is a question in here somewhere?
But if I can point out an observation: if you are doing summary
calculations across the rows like this, my guess is that using a
data.table (data.frame) structure for that will really bite you,
because this operation on a data.table/data.frame is
In total I found 8 different way to calculate quantile in very a large
data.table. I share below their performances for future reference. Tests 1, 7
and 8 were the fastest I found.
Best,
Camilo
library(data.table)
v <- data.table(x=runif(1),x2 = runif(1),
x3=runif(1),x4=runif(100
Hi everyone,
I have a data.table with 200 columns and few million rows and am trying to
calculate the .1 and .9 quantiles for each row across all 200 columns.
I have found different ways to do this, all with different performances. The
examples I used are below. I wonder whether there is a fast
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