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library(data.table)
#> Warning: package 'data.table' was built under R version 4.0.5
options(datatable.verbose=TRUE)
d= as.data.table(iris)
d[, head(.SD,1L),by="Species"]
#> Finding groups using forderv ... forder.c received 150 rows and 1 columns#> 0.000s elapsed (0.000s cpu) #> Finding group sizes from the positions (can be avoided to save RAM) ... 0.000s elapsed (0.000s cpu) #> lapply optimization changed j from 'head(.SD, 1L)' to 'list(head(Sepal.Length, 1L), head(Sepal.Width, 1L), head(Petal.Length, 1L), head(Petal.Width, 1L))'#> GForce optimized j to 'list(ghead(Sepal.Length, 1L), ghead(Sepal.Width, 1L), ghead(Petal.Length, 1L), ghead(Petal.Width, 1L))'#> Making each group and running j (GForce TRUE) ... gforce initial population of grp took 0.001#> gforce assign high and low took 0.000#> gforce eval took 0.000#> 0.000s elapsed (0.000s cpu)#> Species Sepal.Length Sepal.Width Petal.Length Petal.Width#> 1: setosa 5.1 3.5 1.4 0.2#> 2: versicolor 7.0 3.2 4.7 1.4#> 3: virginica 6.3 3.3 6.0 2.5d[, head(.SD,2L),by="Species"]
#> Finding groups using forderv ... forder.c received 150 rows and 1 columns#> 0.000s elapsed (0.000s cpu) #> Finding group sizes from the positions (can be avoided to save RAM) ... 0.000s elapsed (0.000s cpu) #> lapply optimization changed j from 'head(.SD, 2L)' to 'list(head(Sepal.Length, 2L), head(Sepal.Width, 2L), head(Petal.Length, 2L), head(Petal.Width, 2L))'#> GForce is on, left j unchanged#> Old mean optimization is on, left j unchanged.#> Making each group and running j (GForce FALSE) ... #> memcpy contiguous groups took 0.000s for 3 groups#> eval(j) took 0.000s for 3 calls#> 0.000s elapsed (0.000s cpu)#> Species Sepal.Length Sepal.Width Petal.Length Petal.Width#> 1: setosa 5.1 3.5 1.4 0.2#> 2: setosa 4.9 3.0 1.4 0.2#> 3: versicolor 7.0 3.2 4.7 1.4#> 4: versicolor 6.4 3.2 4.5 1.5#> 5: virginica 6.3 3.3 6.0 2.5#> 6: virginica 5.8 2.7 5.1 1.9d[, tail(.SD,1L),by="Species"]
#> Finding groups using forderv ... forder.c received 150 rows and 1 columns#> 0.000s elapsed (0.000s cpu) #> Finding group sizes from the positions (can be avoided to save RAM) ... 0.000s elapsed (0.000s cpu) #> lapply optimization changed j from 'tail(.SD, 1L)' to 'list(tail(Sepal.Length, 1L), tail(Sepal.Width, 1L), tail(Petal.Length, 1L), tail(Petal.Width, 1L))'#> GForce optimized j to 'list(gtail(Sepal.Length, 1L), gtail(Sepal.Width, 1L), gtail(Petal.Length, 1L), gtail(Petal.Width, 1L))'#> Making each group and running j (GForce TRUE) ... gforce initial population of grp took 0.000#> gforce assign high and low took 0.000#> gforce eval took 0.000#> 0.000s elapsed (0.000s cpu)#> Species Sepal.Length Sepal.Width Petal.Length Petal.Width#> 1: setosa 5.0 3.3 1.4 0.2#> 2: versicolor 5.7 2.8 4.1 1.3#> 3: virginica 5.9 3.0 5.1 1.8d[, tail(.SD,2L),by="Species"]
#> Finding groups using forderv ... forder.c received 150 rows and 1 columns#> 0.000s elapsed (0.000s cpu) #> Finding group sizes from the positions (can be avoided to save RAM) ... 0.000s elapsed (0.000s cpu) #> lapply optimization changed j from 'tail(.SD, 2L)' to 'list(tail(Sepal.Length, 2L), tail(Sepal.Width, 2L), tail(Petal.Length, 2L), tail(Petal.Width, 2L))'#> GForce is on, left j unchanged#> Old mean optimization is on, left j unchanged.#> Making each group and running j (GForce FALSE) ... #> memcpy contiguous groups took 0.000s for 3 groups#> eval(j) took 0.000s for 3 calls#> 0.000s elapsed (0.000s cpu)#> Species Sepal.Length Sepal.Width Petal.Length Petal.Width#> 1: setosa 5.3 3.7 1.5 0.2#> 2: setosa 5.0 3.3 1.4 0.2#> 3: versicolor 5.1 2.5 3.0 1.1#> 4: versicolor 5.7 2.8 4.1 1.3#> 5: virginica 6.2 3.4 5.4 2.3#> 6: virginica 5.9 3.0 5.1 1.8
Mentioned here: #523 (comment)
Created on 2021-07-01 by the reprex package (v1.0.0)
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