or:
with(yourData,table(year,month,yourData[["rain"]]>0))
Clint Bowman INTERNET: cl...@ecy.wa.gov
Air Quality Modeler INTERNET: cl...@math.utah.edu
Department of Ecology VOICE: (360) 407-6815
PO Box 47600 FAX: (360) 407-7534
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On Thu, 26 Feb 2015, Peter Alspach wrote:
Tena koe
Something like:
set.seed(153)
# Create some (unrealistic) rainfall data
yourData <- data.frame(year=rep(1950:1954, each=10), month=rep(rep(1:2,
each=5), 5), rain=sample(0:1, 50, replace=TRUE)*round(rnorm(50, 20, 2), 1))
tapply(yourData$rain>0, yourData[,c('year','month')], sum)
will give your final table, but it will need some tidying up.
HTH ....
Peter Alspach
-----Original Message-----
From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of smart hendsome
Sent: Thursday, 26 February 2015 11:54 a.m.
To: r-help@r-project.org
Subject: [R] Replace the value with 1 and 0
Hi everyone,
I have this kind of rainfall dataset:
Year Month Day Amount
1 1950 1 1 0.0
2 1950 1 2 35.5
3 1950 1 3 17.8
4 1950 1 4 24.5
5 1950 1 5 12.3
6 1950 1 6 11.5
7 1950 1 7 5.7
8 1950 1 8 13.2
9 1950 1 9 11.3
10 1950 1 10 14.7
11 1950 1 11 11.9
12 1950 1 12 17.5
13 1950 1 13 8.1
14 1950 1 14 0.4
15 1950 1 15 0.0
16 1950 1 16 19.5
17 1950 1 17 10.7
18 1950 1 18 0.5
19 1950 1 19 12.7
20 1950 1 20 6.3
I want to set as rain for Amount> 0 and not rain for Amount = 0. I want to
replace the Amount>0 with 1 and Amount equal to zero with 0. Then I want to count
how many rain in that particular month in that year. Anyone can help me?
This is what I want:
Year Month Day Amount
1 1950 1 1 0
2 1950 1 2 1
3 1950 1 3 1
4 1950 1 4 1
5 1950 1 5 1
6 1950 1 6 1
7 1950 1 7 1
8 1950 1 8 1
9 1950 1 9 1
10 1950 1 10 1
11 1950 1 11 1
12 1950 1 12 1
13 1950 1 13 1
14 1950 1 14 1
15 1950 1 15 1
16 1950 1 16 1
17 1950 1 17 1
18 1950 1 18 1
19 1950 1 19 1
20 1950 1 20 1
Then become like this:
|
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec |
| 1950 | 17 | 6 | 23 | 20 | 19 | 9 | 17 | 23 | 18 | 20 | 20 | 17 |
| 1951 | 23 | 19 | 20 | 20 | 19 | 11 | 16 | 20 | 22 | 25 | 25 | 16 |
| 1952 | 15 | 21 | 30 | 24 | 23 | 20 | 16 | 19 | 20 | 19 | 21 | 15 |
Thanks.
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