if else statement for rain data to define zero for dry and one to wet
Thank you jim.
On Saturday, June 6, 2015, Jim Lemon <drjimlemon at gmail.com> wrote:
Hi rosalinazairimah,
I think the problem is that you are using "if" instead of "ifelse". Try
this:
wet_dry<-function(x,thresh=0.1) {
for(column in 1:dim(x)[2]) x[,column]<-ifelse(x[,column]>=thresh,1,0)
return(x)
}
wet_dry(dt)
and see what you get.
Also, why can I read your message perfectly while everybody else can't?
Jim
-----Original Message----- From: roslinaump at gmail.com <javascript:;> Sent: Fri, 5 Jun 2015 16:49:08 +0800 To: r-help at r-project.org <javascript:;> Subject: [R] if else statement for rain data to define zero for dry and one to wet Dear r-users, I have a set of rain data: X1950 X1951 X1952 X1953 X1954 X1955 X1956 X1957 X1958 X1959 X1960 X1961 X1962 1 0.0 0.0 14.3 0.0 13.5 13.2 4.0 0 3.3 0 0
0.0
2 0.0 0.0 21.9 0.0 10.9 6.6 2.1 0 0.0 0 0
0.0
3 25.3 6.7 18.6 0.8 2.3 0.0 8.0 0 0.0 0 0
11.0
4 12.7 3.4 37.2 0.9 8.4 0.0 5.8 0 0.0 0 0
5.5
5 0.0 0.0 58.3 3.6 21.1 4.2 3.0 0 0.0 0 0
15.9
I would like to go through each column and define each cell with value greater than 0.1 mm will be 1 and else zero. Hence I would like to
attach
the rain data and the category side by side:
1950 state
1 0.0 0
2 0.0 0
3 25.3 1
4 12.7 1
5 0.0 0
...
This is my code:
wet_dry <- function(dt)
{ cl <- length(dt)
tresh <- 0.1
for (i in 1:cl)
{ xi <- dt[,i]
if (xi < tresh ) 0 else 1
}
dd <- cbind(dt,xi)
dd
}
wet_dry(dt)
Results:
wet_dry(dt)
X1950 X1951 X1952 X1953 X1954 X1955 X1956 X1957 X1958 X1959 X1960
X1961
X1962 X1963 X1964 X1965 X1966 X1967 X1968 X1969 X1970 X1971 X1972 X1973
X1974 X1975 X1976 X1977
1 0.0 0.0 14.3 0.0 13.5 13.2 4.0 0.0 3.3 0.0 0.0
0.0
4.2 0.0 2.2 0.0 4.4 5.1 0 7.2 0.0 0.0 0.0 5.1
0 0.0 0 0.3
2 0.0 0.0 21.9 0.0 10.9 6.6 2.1 0.0 0.0 0.0 0.0
0.0
8.4 0.0 4.0 0.0 4.9 0.7 0 0.0 0.0 0.0 0.0 5.4
0 3.3 0 0.3
3 25.3 6.7 18.6 0.8 2.3 0.0 8.0 0.0 0.0 0.0 0.0
11.0
4.2 0.0 2.0 0.0 14.2 17.1 0 0.0 0.0 0.0 0.0 2.1
0 1.7 0 4.4
4 12.7 3.4 37.2 0.9 8.4 0.0 5.8 0.0 0.0 0.0 0.0
5.5
0.0 0.0 5.4 0.0 6.4 14.9 0 10.1 2.9 143.4 0.0 6.1
0 0.0 0 33.5
It does not work and give me the original data. Why is that?
Thank you so much for your help.
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