I have a data set with a number of columns. I am wanting to create a data set from this using a selection of the columns:
In iml
Instead of
use = old_use[1:100, 1:75];
I want to have
use = old_use[1:100, 1:50] + old_use[1:100, 53:57] + old_use[1:100, 59:75];
But it is not returning the correct number of columns....
The addition operator is trying to add matrices that do not have the same number of columns. Perhaps you mean to use the concatenation operator:
use = old_use[1:100, 1:50] || old_use[1:100, 53:57] || old_use[1:100, 59:75];
If so, a more efficient method is to form a vector of the column indices and then do a single extraction:
cols = (1:50) || (53:57) || (59:75);
use = old_use[1:100, cols];
The addition operator is trying to add matrices that do not have the same number of columns. Perhaps you mean to use the concatenation operator:
use = old_use[1:100, 1:50] || old_use[1:100, 53:57] || old_use[1:100, 59:75];
If so, a more efficient method is to form a vector of the column indices and then do a single extraction:
cols = (1:50) || (53:57) || (59:75);
use = old_use[1:100, cols];
Thank you that works really well!
When posting questions, look if there's a suitable community. My moving of your post to the IML community probably triggered @Rick_SAS's attention.
Thanks - will do
Don't miss out on SAS Innovate - Register now for the FREE Livestream!
Can't make it to Vegas? No problem! Watch our general sessions LIVE or on-demand starting April 17th. Hear from SAS execs, best-selling author Adam Grant, Hot Ones host Sean Evans, top tech journalist Kara Swisher, AI expert Cassie Kozyrkov, and the mind-blowing dance crew iLuminate! Plus, get access to over 20 breakout sessions.
Learn how to run multiple linear regression models with and without interactions, presented by SAS user Alex Chaplin.
Find more tutorials on the SAS Users YouTube channel.