问题
This is a very basic question, but it\'s annoying me, so I\'m asking.
I need a sequence of repeated numbers, i.e. 1 1 ... 1 2 2 ... 2 3 3 ... 3 etc. The way I implemented this was
nyear<-20
names<-c(rep(1,nyear),rep(2,nyear),rep(3,nyear),rep(4,nyear),
rep(5,nyear),rep(6,nyear),rep(7,nyear),rep(8,nyear))
which works, but is clumsy, and obviously doesn\'t scale well. How do I repeat the N integers M times each in sequence? I tried nesting seq() and rep() but that didn\'t quite do what I wanted. I can obviously write a for loop that will do it, but this also seems clumsy -- there should be an intrinsic way to do this!
回答1:
You missed the each=
argument to rep()
:
R> n <- 3
R> rep(1:5, each=n)
[1] 1 1 1 2 2 2 3 3 3 4 4 4 5 5 5
R>
so your example can be done with a simple
R> rep(1:8, each=20)
回答2:
For your example, Dirk's answer is perfect. If you instead had a data frame and wanted to add that sort of sequence as a column, you could also use group
from groupdata2 (disclaimer: my package) to greedily divide the datapoints into groups.
# Attach groupdata2
library(groupdata2)
# Create a random data frame
df <- data.frame("x" = rnorm(27))
# Create groups with 5 members each (except last group)
group(df, n = 5, method = "greedy")
x .groups
<dbl> <fct>
1 0.891 1
2 -1.13 1
3 -0.500 1
4 -1.12 1
5 -0.0187 1
6 0.420 2
7 -0.449 2
8 0.365 2
9 0.526 2
10 0.466 2
# … with 17 more rows
There's a whole range of methods for creating this kind of grouping factor. E.g. by number of groups, a list of group sizes, or by having groups start when the value in some column differs from the value in the previous row (e.g. if a column is c("x","x","y","z","z")
the grouping factor would be c(1,1,2,3,3)
.
来源:https://stackoverflow.com/questions/6432067/sequence-of-repeated-values-in-r