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POVectorize my thinking: Vector Operations in R
 

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    <p>So earlier I answered my own question on thinking in vectors in R. But now I have another problem which I can't 'vectorize.' I know vectors are faster and loops slower, but I can't figure out how to do this in a vector method:</p> <p>I have a data frame (which for sentimental reasons I like to call my.data) which I want to do a full marginal analysis on. I need to remove certain elements one at a time and 'value' the data frame then I need to do the iterating again by removing only the next element. Then do again... and again... The idea is to do a full marginal analysis on a subset of my data. Anyhow, I can't conceive of how to do this in a vector efficient way. </p> <p>I've shortened the looping part of the code down and it looks something like this:</p> <pre><code>for (j in my.data$item[my.data$fixed==0]) { # &lt;-- selects the items I want to loop # through my.data.it &lt;- my.data[my.data$item!= j,] # &lt;-- this kicks item j out of the list sum.data &lt;-aggregate(my.data.it, by=list(year), FUN=sum, na.rm=TRUE) #&lt;-- do an # aggregation do(a.little.dance) &amp;&amp; make(a.little.love) -&gt; get.down(tonight) # &lt;-- a little # song and dance delta &lt;- (get.love) # &lt;-- get some love delta.list&lt;-append(delta.list, delta, after=length(delta.list)) #&lt;-- put my love # in a vector } </code></pre> <p>So obviously I hacked out a bunch of stuff in the middle, just to make it less clumsy. The goal would be to remove the j loop using something more vector efficient. Any ideas?</p>
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    1. CO@joran: There must be an award for editing a question that is 30 months old. :)
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    2. COsome version of the necromancer, maybe?
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    3. COGood idea. I'm thinking something along the lines of a natural history museum curator might be less morbid. Or maybe Jurassic Park?
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