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2017 Jan 20
1
How to handle INT8 data
Right, they are identifiers.
Storing them as String has drawbacks:
- huge to store in memory
- slow to process
- huge to index (by eg data.table columns indexes)
Why not storing them as numeric ?
Thanks,
Le 20 janv. 2017 ? 18h16, William Dunlap ?crivait :
> If these are identifiers, store them as strings. If not, what sort of
> calculations do you plan on doing with them?
> Bill Dunlap
> TIBCO Software
> wdunlap tibco.com
>
>
> On Fri, Jan 20, 2017 at 6:33 AM, Nicolas Paris <nicolas.paris at a...
2017 Jan 20
9
How to handle INT8 data
Hello r users,
I have to deal with int8 data with R. AFAIK R does only handle int4
with `as.integer` function [1]. I wonder:
1. what is the better approach to handle int8 ? `as.character` ?
`as.numeric` ?
2. is there any plan to handle int8 in the future ? As you might know,
int4 is to small to deal with earth population right now.
Thanks for you ideas,
int8 eg:
human_id