library(data.table)
library(palmerpenguins)
Test 1: ordinary dt
<- data.table(penguins)
dat dim(dat)
[1] 344 8
== "Adelie"] dat[species
species island bill_length_mm bill_depth_mm flipper_length_mm
<fctr> <fctr> <num> <num> <int>
1: Adelie Torgersen 39.1 18.7 181
2: Adelie Torgersen 39.5 17.4 186
3: Adelie Torgersen 40.3 18.0 195
4: Adelie Torgersen NA NA NA
5: Adelie Torgersen 36.7 19.3 193
---
148: Adelie Dream 36.6 18.4 184
149: Adelie Dream 36.0 17.8 195
150: Adelie Dream 37.8 18.1 193
151: Adelie Dream 36.0 17.1 187
152: Adelie Dream 41.5 18.5 201
body_mass_g sex year
<int> <fctr> <int>
1: 3750 male 2007
2: 3800 female 2007
3: 3250 female 2007
4: NA <NA> 2007
5: 3450 female 2007
---
148: 3475 female 2009
149: 3450 female 2009
150: 3750 male 2009
151: 3700 female 2009
152: 4000 male 2009
nrow(dat)
[1] 344
Filtering does not modify in place.
:= body_mass_g > 4000]
dat[, Big names(dat)
[1] "species" "island" "bill_length_mm"
[4] "bill_depth_mm" "flipper_length_mm" "body_mass_g"
[7] "sex" "year" "Big"
Mutating does modify in place.
dat[, ]
species island bill_length_mm bill_depth_mm flipper_length_mm
<fctr> <fctr> <num> <num> <int>
1: Adelie Torgersen 39.1 18.7 181
2: Adelie Torgersen 39.5 17.4 186
3: Adelie Torgersen 40.3 18.0 195
4: Adelie Torgersen NA NA NA
5: Adelie Torgersen 36.7 19.3 193
---
340: Chinstrap Dream 55.8 19.8 207
341: Chinstrap Dream 43.5 18.1 202
342: Chinstrap Dream 49.6 18.2 193
343: Chinstrap Dream 50.8 19.0 210
344: Chinstrap Dream 50.2 18.7 198
body_mass_g sex year Big
<int> <fctr> <int> <lgcl>
1: 3750 male 2007 FALSE
2: 3800 female 2007 FALSE
3: 3250 female 2007 FALSE
4: NA <NA> 2007 NA
5: 3450 female 2007 FALSE
---
340: 4000 male 2009 FALSE
341: 3400 female 2009 FALSE
342: 3775 male 2009 FALSE
343: 4100 male 2009 TRUE
344: 3775 female 2009 FALSE
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