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Big Book of R

(www.bigbookofr.com)
288 points sebg | 2 comments | 10 Apr 25 17:34 UTC | HN request time: 0.001s | source
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wpollock ◴[10 Apr 25 18:01 UTC] No.43646498[source]▶
Very nice, but instead of an owl, shouldn't the cover illustration be a pirate?
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DadBase ◴[10 Apr 25 19:41 UTC] No.43647370[source]▶
Totally agree. R is pure pirate energy. Half the functions are hidden on purpose, the other half only work if you chant the right incantation while facing the CRAN mirror at dawn.
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MrLeap ◴[10 Apr 25 20:15 UTC] No.43647653[source]▶
If you started with SAS for statistics like I did, you'd see how absolutely civilized R is in comparison.
replies(1): >>43647669 #
kylebenzle ◴[10 Apr 25 20:17 UTC] No.43647669[source]▶
Yes but today I find little to no benefit over python
replies(2): >>43647811 #>>43648686 #
raffael_de ◴[10 Apr 25 20:37 UTC] No.43647811[source]▶
no plotting library available in python even comes close to ggplot2. just to give one major example. another would be the vast amount of statistics solutions. but ... python is good enough for everything and more - so, it doesn't really feel worth maintaining two separate code bases and R is lacking in too many areas for it to compete with python for most applications.
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freehorse ◴[10 Apr 25 22:12 UTC] No.43648531[source]▶
Until you need to plot anything more than a few hundred thousand data points, in which case ggplot is extremely slow, if it even manages.
replies(1): >>43656006 #
1. raffael_de ◴[11 Apr 25 17:00 UTC] No.43656006[source]▶
I would argue that this is too much for any static plot. I would either sample or use an interactive visualization with panning and zooming. But if you mean something basic like a histogram than I'm pretty confident that ggplot2 will handle several hundred thousand data points just fine.
replies(1): >>43660238 #
2. freehorse ◴[12 Apr 25 00:38 UTC] No.43660238[source]▶
Fair; so my arguments becomes "until you need anything barely interactive such as zooming in".