Dear R users,
I'm starting to use 'apply' functions rather than for loops in R, and
sometimes the output is a bit different than what I want. In this case, the
command was
tapply(myvector,myindex,cumsum)
And the output was something like this:
$`SNRL1 Core 120`
[1] 2.8546 4.0778 5.2983 6.3863 7.5141 8.5498 9.5839 10.6933
$`SNRL1 Core 230`
[1] 7.6810 8.7648 9.8382 10.8903 11.9840 13.0541 14.1132 15.1657
$`VAL 1.1.NA.na30`
[1] 22.0840 30.3001 35.2505 42.8085 48.5220 52.0604 57.9428 61.4930
64.4550 67.3543 69.8435 72.9508 74.4730 76.3104
$`VAL 1.2.NA.na15`
[1] 33.8895 38.7440 41.0536 44.1581 46.4891 48.3130 51.0973 52.9241
54.6404 56.1265 57.5064 59.0745
$`VAL 1.2.NA.na30`
[1] 6.6408 10.6838 13.8328 15.5435 18.3037 20.3315 22.8817 24.4481
26.4106 27.6658 29.6455 30.8490 31.8680
$`VAL 1.3.NA.na10`
[1] 4.8198 7.1274 8.9536 11.5954 14.0845 15.5116 16.9462 18.1269
19.3453 20.5723 21.7122 22.8643
$`VAL 1.3.NA.na20`
[1] 5.7382 8.2056 9.4489 10.8225 12.3497 13.6879 15.1077 16.3229
,
That's fine, but I need the output as a dataframe. I'm not even sure what
to call this list, but it has multiple entries for each item.
Forgive the fact that I don't have the data for you to use, I'm wondering
if anyone knows about a pre-existing function that will allow be to turn
the above list form into a dataframe. Thanks
*Ben Caldwell*
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