tutorial_r_introductio
By karoliskoncevicius
xlispstat
Luke Tierney's Xlispstat statistical environment (by jhbadger)
| tutorial_r_introductio | xlispstat | |
|---|---|---|
| 1 | 2 | |
| - | 16 | |
| - | - | |
| - | 10.0 | |
| - | over 8 years ago | |
| C | ||
| - | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
tutorial_r_introductio
Posts with mentions or reviews of tutorial_r_introductio.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-02-06.
-
A Quick Introduction to R
> Recycling
https://github.com/karoliskoncevicius/tutorial_r_introductio...
Gotta say this is very elegant.
xlispstat
Posts with mentions or reviews of xlispstat.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-02-06.
-
A Quick Introduction to R
On the other hand, if it were lispiness that was the issue, surely xlispstat would be the winner. I love xlispstat. I used it in grad school in the 1990s and even maintain the github repository https://github.com/jhbadger/xlispstat . But the fact is xlispstat never appealed to the general statistical community and R did.
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Ask HN: Would prog. language look like if that was designed by no-programmer
I was a huge fan of xlispstat in the 1990s (which I've archived on Github at (https://github.com/jhbadger/xlispstat), but the simple fact is that the majority of the statistics community just didn't like Lisp-like languages, and not only xlispstat, but newer projects like Incanter (statistics for Clojure) have pretty much failed as well. R meets its need far better than a Scheme library that nobody would have used. It's yet another example of "worse is better".
What are some alternatives?
When comparing tutorial_r_introductio and xlispstat you can also consider the following projects:
r_notes - Personal collection of R notes
diptest - :exclamation: This is a read-only mirror of the CRAN R package repository. diptest — Hartigan's Dip Test Statistic for Unimodality - Corrected. Homepage: https://github.com/mmaechler/diptest Report bugs for this package: https://github.com/mmaechler/diptest/issues