On 2015-02-26 00:33, JS Huang wrote:
Hi,
Here is an implementation. More data are added. An extra column hasRain
is added instead of replacing column Amount.
rain
Year Month Day Amount
1 1950 1 10.0
2 1950 1 2 35.5
3 1950 1 3 17.8
4 1950 1 4
Hi,
Here is an implementation. More data are added. An extra column hasRain
is added instead of replacing column Amount.
rain
Year Month Day Amount
1 1950 1 10.0
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
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$rain0, yourData[,c('year','month')], sum)
will
or:
with(yourData,table(year,month,yourData[[rain]]0))
Clint BowmanINTERNET: cl...@ecy.wa.gov
Air Quality Modeler INTERNET: cl...@math.utah.edu
Department of Ecology VOICE: (360) 407-6815
PO Box 47600FAX:
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
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