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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