# Truncation of vector values based on another vector

Here is the general algorithm I wish to implement in R:

if (x[i]>y[i]) x[i]=y[i]

I am generally taking Census data and adjusting the dummy variables to fit my needs.

x,y are of course vectors. This problem looks like a loop is the solution. But, my loop skills in R are poor. I can seem to get my indexes to increment properly.

Thanks Cloud :)

A couple of possibilities. First with the ifelse function (since the if (){ } else{ } constuct does not work on vectors):

```x <- ifelse( x > y, y, x) ```

Or with logical indexing:

```x[ x>y ] <- y[ x>y ] ```

Both of these assume that x and y are the same length and are implicitly comparing and assigning elementwise so no need for an index

Good, DWin showed you already why you absolutely don't need a loop in R. But apparently you don't want to do what you asked, or your comment wouldn't make sense whatsoever.

If you want to choose which ones you want to change, you just add an extra logical vector to the solution of DWin, eg:

```x <- 1:10 y <- 10:1```

``` # say I want to change every second index id <- seq.int(length(x))%%2 ```

```ifelse(x>y & id,y,x) ```

You can do what you want, as long as id :

• is as long as x and y
• contains 1/TRUE for can change and 0/FALSE for cannot change
Category:r Views:0 Time:2010-11-08
Tags: r

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