Hi. Maybe this can help you (you can try additionally to incorporate
threshold):

> set.seed(1)
> x<-rnorm(10,10,1)
> values <- sample(1:10,10)  #values that we are looking for
> mat <- matrix(c(x,values),ncol=2)
>
> closest<-function(x,values)    #function is an example from The R book
(Crawley)
+ {
+ x[which(abs(x-values)==min(abs(x-values)))]
+ }
>
> apply(mat[,2,drop=FALSE],1,function(y) closest(mat[,1],y))
 [1] 10.183643  9.164371  9.164371  9.164371  9.164371  9.164371  9.164371
 9.164371
 [9]  9.164371  9.164371


On Sun, Dec 4, 2011 at 7:00 PM, vamshi999 <vamshi999@gmail.com> wrote:

> Hello List,
>
> I am having trouble finding the command for my problem.
>
> I have two arrays x and y. now i would like to compare the values of x and
> y
> and then get the index of x which is exactly or approximately equal(+/-
> some
> value ) to the values in y.
>  x <- runif(100,min=0,max=5)
>  y <- runif(10,min=0,max=5)
>
>
> the threshold value(+/-) value can vary. for this example lets take it to
> be
> .5
>
> I know the regular method of doing this by writing different if and for
> loops. But i have very big dataframe the computation time is very high for
> this method. can anyone please tell me if there any functions to do this.
>
> thank you for your help.
>
> --
> View this message in context:
> http://r.789695.n4.nabble.com/equating-approximate-values-tp4157551p4157551.html
> Sent from the R help mailing list archive at Nabble.com.
>
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>

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