I see. Duplication always raises the question
if one wants to keep up with changes and have
some people dedicated to mirroring changes to
be reflected from upstream original library.
It’s a maintenance issue.
If one doesn’t then why not develop independently
to start with, without constraints. If
Hey Hauke, I think writing to files and running processes is not an uncommon
way to interface with GNU Plot/GPLK because they have their own DSLs and
therefore support text intermediaries. Obs. not GNU Scientific. Point is moreso
that I'd want to be able to work with J data types, seamlessly cal
I thought that’s the way the julia interfaces
to both gnuplot and gnu scientific work like.
They should send raw data to a process rather
than writing to files – don’t they?
And both R and python would disappoint me as
well if they didn’t do so.
But maybe I misunderstood what exact kind of
differen
Thanks Mike, I'm a J neophyte so take this with a pinch of salt. I think that
the best way to make J relevant for statistics is well thought through deep
bindings to the following libraries: GNU Plot, GNU Scientific. Not clunky write
to a file then run it in the background type stuff, but well t
Thanks for bringing this to attention.
In https://mathworld.wolfram.com/Quantile.html Eric Weisstein lists 9
different quantile implementations.
Back in the 90s there was a project to establish a library of stats
functions in APL. One result was a useful Maximum
Likelihood model workspace, bu
The manual method I learned is captured in the following formula.
load'stats/base'
midpt
-:@<:@#
median
-:@(+/)@((<. , >.)@midpt { /:~)
iqr=:((median@{.~-@>.@midpt)-(median@{.~>.@midpt))@/:~
--
(B=)
--
For informat
For summarizing a data set use
En=: 4 : 0 NB. tombola-resume
y=.x*(+/%#)(,y)^/1+i.x
e=.1
for_i. 1+i.x do.
e=.e,~i%~+/(_1^i.i)*e*i{.y
end.
_1&x:|.->{:p. e
)
The function 1&En is the mean value.
2&En is the mean value plus or minus the standard deviation.
3&En is 3 numbers summarizing the da
It's perhaps worth noting that these do not always yield the same result:
q2 5 7 11 13
6
q3 5 7 11 13
4
FYI,
--
Raul
On Sun, Feb 21, 2021 at 6:10 PM xash wrote:
>
> Without I.:
> q2=: (1r4 3r4 <.@* #) -/@:{ \:~
>
> And a fun one:
> q3=: \:~ -&({~ # <.@% 4:) /:~
> ---
Without I.:
q2=: (1r4 3r4 <.@* #) -/@:{ \:~
And a fun one:
q3=: \:~ -&({~ # <.@% 4:) /:~
--
For information about J forums see http://www.jsoftware.com/forums.htm
Directly derived from your version:
q=: 3 : '(-/@:{~ 3r4 1r4 I.~ #\ % #) /:~y'
Didn’t test it, though.
Am 21.02.21 um 22:19 schrieb Emir U:
> q=: 3 : '-/(((1+ i. #y) % #y) I. 0.75 0.25) {/:~y'
--
--
mail written using NEO
neo-layout.org
-
I couldn't find this in the archive so here is an attempt at a fairly simple
interquartile range function for those who might be looking for it.
iqr=: 3 : 0
q=: 3 : '-/(((1+ i. #y) % #y) I. 0.75 0.25) {/:~y'
q "1 |: y
)
Pretty certain it can be written much more concisely: just not by me righ
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