evalparse
evalparse
I wonder if it's possible to row append a dataset directly to a dataset stored on disk? currenlty to append two dataframes together I need to do ```r a
I work in a corporate environment and I don't have admin rights to the my Windows machine. What this means is that I can't write to `c:\` nor `c:\users\` but...
The new `arrow` package is now online, so can add `arrow::read/write_parquet/arrow`. I don't mind contributing to this but I will need to finish off a couple of CRAN submissions.
```julia a = rand(Int32, 200_000_000) using SortingAlgorithms @time sort(a, alg = RadixSort) # 4s @time countmap(a); # 35s ``` It seems like `countmap` is an order of magnitude slower than...
So it'd be something like this ``` function sample(x, frac::AbstractFloat) l = length(x) sample(x, round(Int, l * frac)) end ```
I run the below code, which should work on your computer if you have all the packages installed. Basically it downloads some CSV from football-data.co.uk and tries to save it...
## description R's Rmarkdown has this Tabbed Section feature is hugely useful https://bookdown.org/yihui/rmarkdown/html-document.html 
I can't figure out how use CCA in this package ```julia function canonicalcor(x::AbstractMatrix, y::AbstractMatrix) ma = inv(cov(x))*cov(x, y)*inv(cov(y))*cov(y,x) mb = inv(cov(y))*cov(y, x)*inv(cov(x))*cov(x,y) evx = eigvecs(ma) evy = eigvecs(mb) abs(cor(x*evx[:, end],...