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Processing nested lists

    R
 Source: .Rmd/.md

So perhaps you have all figured this out already, but I was excited to figure out how to finally neatly get all the data frames, lists, vectors, etc. out of a nested list. It is as easy as nesting calls to the apply family of functions, in the case below, using plyr’s apply like functions. Take this example:



<div style="overflow: auto;"><div class="geshifilter"><pre class="r geshifilter-R"># Nested lists code, an example
# Make a nested list
mylist <- list()
mylist_ <- list()
for(i in 1:5) {
for(j in 1:5) {
mylist[[j]] <- i*j
}
mylist_[[i]] <- mylist
}
 
# return values from first part of list
laply(mylist_[[1]], identity)
[1] 1 2 3 4 5</pre><pre class="r geshifilter-R"> 
# return all values
laply(mylist_, function(x) laply(x, identity))
1 2 3 4 5
[1,] 1 2 3 4 5
[2,] 2 4 6 8 10
[3,] 3 6 9 12 15
[4,] 4 8 12 16 20
[5,] 5 10 15 20 25</pre><pre class="r geshifilter-R" style="font-family: monospace;"> 
# perform some function, in this case sqrt of each value
laply(mylist_, function(x) laply(x, function(x) sqrt(x)))</pre><pre class="r geshifilter-R">
1 2 3 4 5
[1,] 1.000000 1.414214 1.732051 2.000000 2.236068
[2,] 1.414214 2.000000 2.449490 2.828427 3.162278
[3,] 1.732051 2.449490 3.000000 3.464102 3.872983
[4,] 2.000000 2.828427 3.464102 4.000000 4.472136
[5,] 2.236068 3.162278 3.872983 4.472136 5.000000
</pre></div></div>

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