问题
I have a data frame with 1666 rows. I would like to add a column with a repeating sequence of 1:5
to use with cut()
to do cross validation. It would look like this:
Y x1 x2 Id1
1 .15 3.6 1
0 1.1 2.2 2
0 .05 3.3 3
0 .45 2.8 4
1 .85 3.1 5
1 1.01 2.9 1
... ... ... ...
I've tried the following 2 ways but get an error message as it seems to only add numbers in increments of the full seq()
argument:
> tr2$Id1 <- rep(seq(1,5,1), (nrow(tr2)/5))
Error in `$<-.data.frame`(`*tmp*`, "Id", value = c(1, 2, 3, 4, 5, 1, 2, :
replacement has 1665 rows, data has 1666
> tr2$Id1 <- rep(seq(1,5,1), (nrow(tr2)/5) + (nrow(tr2)%%5))
Error in `$<-.data.frame`(`*tmp*`, "Id", value = c(1, 2, 3, 4, 5, 1, 2, :
replacement has 1670 rows, data has 1666
Any suggestions?
回答1:
Something, like this?
df <- data.frame(rnorm(1666))
df$cutter <- rep(1:5, length.out=1666)
tail(df)
rnorm.1666. cutter
1661 0.11693169 1
1662 -1.12508091 2
1663 0.25441847 3
1664 -0.06045037 4
1665 -0.17242921 5
1666 -0.85366242 1
回答2:
Use the length.out
argument of rep()
.
Here is an example using the built-in dataset cars.
str(cars)
'data.frame': 50 obs. of 2 variables:
$ speed: num 4 4 7 7 8 9 10 10 10 11 ...
$ dist : num 2 10 4 22 16 10 18 26 34 17 ...
Add grouping column:
cars$group <- rep(1:3, length.out=50)
Inspect the result:
head(cars)
speed dist group
1 4 2 1
2 4 10 2
3 7 4 3
4 7 22 1
5 8 16 2
6 9 10 3
tail(cars)
speed dist group
45 23 54 3
46 24 70 1
47 24 92 2
48 24 93 3
49 24 120 1
50 25 85 2
来源:https://stackoverflow.com/questions/11829481/r-rep-seq-where-number-of-rows-is-not-multiple-of-seq-length