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roslinazairimah zakaria

2015-Jun-05 08:49 UTC

[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.

	[[alternative HTML version deleted]]

PIKAL Petr

2015-Jun-05 12:35 UTC

head link

[R] if else statement for rain data to define zero for dry and one to wet

Hi

I will not inspect your function as it is corrupted by HTML posting.

If your data frame is named rain

newrain <- (rain>.1)*1

gives you new data frame with reqired coding.

However I am not sure, what do you want to do next. Do you want to merge those 2
data frames so as coded column is beside original column? Why? What do you want
to do with such merged data? It seems to me without sense.

Cheers
Petr

> -----Original Message-----
> From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of
> roslinazairimah zakaria
> Sent: Friday, June 05, 2015 10:49 AM
> To: r-help at r-project.org
> 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.
>
>       [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-
> guide.html
> and provide commented, minimal, self-contained, reproducible code.
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John Kane

2015-Jun-05 13:41 UTC

head link

[R] if else statement for rain data to define zero for dry and one to wet

Please do not post in HTML. It made your posting unreadable.  R-help is a plain
text list and when it removes all the HTML tags often the result is gibberish

Have a look at
http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
and http://adv-r.had.co.nz/Reproducibility.html for some suggestions on how to
post to R-help.


John Kane
Kingston ON Canada

> -----Original Message-----
> From: roslinaump at gmail.com
> Sent: Fri, 5 Jun 2015 16:49:08 +0800
> To: r-help at r-project.org
> 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.
> 
> 	[[alternative HTML version deleted]]
> 
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
____________________________________________________________
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Jim Lemon

2015-Jun-06 07:50 UTC

head link

[R] if else statement for rain data to define zero for dry and one to wet

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
>> Sent: Fri, 5 Jun 2015 16:49:08 +0800
>> To: r-help at r-project.org
>> 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.
>>
>>       [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.

R help - Jun 2015 - if else statement for rain data to define zero for dry and one to wet

[R] if else statement for rain data to define zero for dry and one to wet

[R] if else statement for rain data to define zero for dry and one to wet

[R] if else statement for rain data to define zero for dry and one to wet

[R] if else statement for rain data to define zero for dry and one to wet