Reputation: 123
Is it possible to specify by variable in descending order?
e.g. sort mtcars data by "cyl" and "mpg" in descending. Then flag first ops per "cyl"
dt <- setDT(mtcars)
dt$TEMP <- 1
dt[, ':='(first_cyl=ifelse((cumsum(TEMP)==1),1,0)), by=c("cyl", -"mpg")]
Upvotes: 0
Views: 1275
Reputation: 25225
Another option is to sort in i
, group using by
then assign by reference (:=
) in j
:
DT <- as.data.table(mtcars)
DT[order(cyl, -mpg, am), first_cyl := c(1L, rep(0L, .N - 1L)), .(cyl, mpg, am)]
Upvotes: 1
Reputation: 388797
We can first order
the data and then assign the flag as required.
library(data.table)
dt <- mtcars
setDT(dt)
dt[, temp := 1]
dt1 <- dt[order(cyl,-mpg)]
dt1[, first_cyl := seq_len(.N) == which.max(temp), cyl]
# mpg cyl disp hp drat wt qsec vs am gear carb temp first_cyl
# 1: 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 1 TRUE
# 2: 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 1 FALSE
# 3: 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 1 FALSE
# 4: 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 1 FALSE
# 5: 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 1 FALSE
# 6: 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 1 FALSE
# 7: 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 1 FALSE
# 8: 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 1 FALSE
# 9: 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 1 FALSE
#10: 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 1 FALSE
#11: 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 1 FALSE
#12: 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 1 TRUE
#13: 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 1 FALSE
#....
#....
This assigns TRUE
to the first row where temp = 1
for each cyl
.
Upvotes: 1