如果你只是想
子集
那么,@Shree的回答可能是对的。如果您只想反转这些行,但保留所有行,则类似于:
在
dplyr
:
library(dplyr)
mtcars %>%
mutate(selected = TRUE) %>%
# the heart of the answer
mutate(selected = if_else(row_number() %in% c(1, 4, 5), !selected, selected))
# mpg cyl disp hp drat wt qsec vs am gear carb selected
# 1 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 FALSE
# 2 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 TRUE
# 3 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 TRUE
# 4 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 FALSE
# 5 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 FALSE
# 6 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 TRUE
# 7 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 TRUE
# 8 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 TRUE
# ...
你说过
datatable
,我想你是说
data.table
,在这种情况下
library(data.table)
DT <- as.data.table(mtcars)
DT[, selected := TRUE]
DT[, selected := ifelse(.I %in% c(1, 3, 4), !selected, selected)]
head(DT, n = 8)
# mpg cyl disp hp drat wt qsec vs am gear carb selected
# 1: 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 FALSE
# 2: 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 TRUE
# 3: 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 FALSE
# 4: 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 FALSE
# 5: 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 TRUE
# 6: 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 TRUE
# 7: 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 TRUE
# 8: 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 TRUE
或者像管道一样
library(magrittr)
DT <- as.data.table(mtcars)
DT %>%
.[, selected := TRUE] %>%
.[, selected := ifelse(.I %in% c(1, 3, 4), !selected, selected)]
head(DT, n = 8)
# mpg cyl disp hp drat wt qsec vs am gear carb selected
# 1: 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 FALSE
# 2: 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 TRUE
# 3: 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 FALSE
# 4: 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 FALSE
# 5: 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 TRUE
# 6: 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 TRUE
# 7: 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 TRUE
# 8: 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 TRUE
在
基R
,您可以这样做:
mtcars$selected <- TRUE
mtcars$selected[c(1, 3, 4)] <- !mtcars$selected[c(1, 3, 4)]
head(mtcars, n = 8)
# mpg cyl disp hp drat wt qsec vs am gear carb selected
# Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 FALSE
# Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 TRUE
# Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 FALSE
# Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 FALSE
# Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 TRUE
# Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 TRUE
# Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 TRUE
# Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 TRUE