I'm new to R and I'm working with the survival library. I used residuals() on a survival object, which nicely outputs the residuals I want.
My question / point of (mis)understanding is on how R treats its row indexes.
Here is a sample data set. My goal is to merge them back together.
> 1 - .2
> 2 - .4
> 3 - .6
> 4 - .8
> 1 - .2X
> 2 - .4X
> 4 - .8X
The output is a subset of the input (some data couldn't be processed). What I'd like is to add this new list back to the original input file to plot and run regressions, etc.
I don't know how to access the row indexes outside of the simple df[number] command. I think my approach to doing this is a bit prehistoric; I write.table() the objects which turns their row number into an actual printed column, and then go back and merge based on this new key. I feel like there is a smarter way then to write out and read back in the files. Any suggestions on how?
I hope this isn't a duplicate, as I looked around and couldn't quite find a good explanation on row indices.
I can add column or row names to a data frame, but this results in a NULL value if done to a one dimensional object (my output file). The one dimensional object just has a subset of rows that I can't access.