Displaying 4 results from an estimated 4 matches for "comdemn".
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condemn
2017 Jan 20
4
How to handle INT8 data
...ply(read.table("res.csv",sep=";",header=T),class)
col1 col2
"numeric" "factor"
> read.table("res.csv",sep=";",header=T,colClasses="character")
col1 col2
1 -1311071933951566764 toto
2 -1311071933951566764 tata
Am I comdemned to provide a R script with the data in order to exploit the dataset ?
Le 20 janv. 2017 ? 18h29, Murray Stokely ?crivait :
> 2^53 == 2^53+1
> TRUE
>
> Which makes joining or grouping data sets with 64 bit identifiers problematic.
>
> Murray (mobile)
>
> On Jan 20, 2017...
2017 Jan 20
2
How to handle INT8 data
...; col1 col2
> "numeric" "factor"
>
> > read.table("res.csv",sep=";",header=T,colClasses="character")
> col1 col2
> 1 -1311071933951566764 toto
> 2 -1311071933951566764 tata
>
> Am I comdemned to provide a R script with the data in order to exploit the
> dataset ?
>
> Le 20 janv. 2017 ? 18h29, Murray Stokely ?crivait :
> > 2^53 == 2^53+1
> > TRUE
> >
> > Which makes joining or grouping data sets with 64 bit identifiers
>...
2017 Jan 20
0
How to handle INT8 data
...t;;",header=T),class)
> col1 col2
> "numeric" "factor"
>
> > read.table("res.csv",sep=";",header=T,colClasses="character")
> col1 col2
> 1 -1311071933951566764 toto
> 2 -1311071933951566764 tata
>
> Am I comdemned to provide a R script with the data in order to exploit the
> dataset ?
>
> Le 20 janv. 2017 ? 18h29, Murray Stokely ?crivait :
> > 2^53 == 2^53+1
> > TRUE
> >
> > Which makes joining or grouping data sets with 64 bit identifiers
> problematic.
> >
> &...
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