In my last example, the function mean() is not well chosen. In fact, what
I would like to calculate is a statistical test line by lline, like TTest,
or Wilcoxon. This is why I need to iterate thought 2 DataFrames at the same
time if I subset the DataFrame first to increase speed :)
Something like :
julia> for r1,r2 in eachrow(df1, df2)
println(TTest(r1,r2))
end
ERROR: syntax: invalid iteration specification
Le samedi 21 novembre 2015 19:17:27 UTC+1, Fred a écrit :
>
> It is a good idea but how is it possible to iterate two dataframes at the
> same time ? Something like :
>
> julia> df = DataFrame(a=1:5, b=7:11, c=10:14, d=20:24)
> 5x4 DataFrames.DataFrame
> | Row | a | b | c | d |
> |-----|---|----|----|----|
> | 1 | 1 | 7 | 10 | 20 |
> | 2 | 2 | 8 | 11 | 21 |
> | 3 | 3 | 9 | 12 | 22 |
> | 4 | 4 | 10 | 13 | 23 |
> | 5 | 5 | 11 | 14 | 24 |
>
> julia> df1 = df[1:2,]
> 5x2 DataFrames.DataFrame
> | Row | a | b |
> |-----|---|----|
> | 1 | 1 | 7 |
> | 2 | 2 | 8 |
> | 3 | 3 | 9 |
> | 4 | 4 | 10 |
> | 5 | 5 | 11 |
>
> julia> df1 = df[3:4,]
> 5x2 DataFrames.DataFrame
> | Row | c | d |
> |-----|----|----|
> | 1 | 10 | 20 |
> | 2 | 11 | 21 |
> | 3 | 12 | 22 |
> | 4 | 13 | 23 |
> | 5 | 14 | 24 |
>
> julia> for r1,r2 in eachrow(df1, df2)
> println(mean(r1,r2))
> end
> ERROR: syntax: invalid iteration specification
>
>
>
>
> Le samedi 21 novembre 2015 15:08:34 UTC+1, tshort a écrit :
>>
>> For the subset, do the indexing after the conversion to an array, or
>> subset the DataFrame first (probably faster).
>>
>
