Le vendredi 12 février 2016 à 09:51 +0100, Michele Zaffalon a écrit : > But the original point is still valid: using the search box in the > official documentation page http://docs.julialang.org/en/release-0.4, > searching for "standard deviation" does not bring up any useful hit, > despite the fact that Base.std is fairly well documented and contains > the words standard deviation. > Is there a reason why it should work at the REPL but not in the > webpage? Searching for "deviation" works, so it's quite mysterious that "standard deviation" doesn't... Looks like a bug in the Sphinx search engine.
Google's behavior is really weird too. Even a query like "standard deviation julia site:docs.julialang.org" gives the manual page home for the standard library first (even if it doesn't contain "deviation"), as well as pages mentioning "standard error". Maybe some pages are not indexed at all? Could something be tweaked in the Sphinx configuration? Regards > > On Fri, Feb 12, 2016 at 9:25 AM, Mauro <[email protected]> wrote: > > Also at the Julia REPL: > > > > julia> apropos("standard deviation") > > randn! > > stdm > > std > > randn > > > > help?> std > > search: std stdm STDIN STDOUT STDERR setdiff setdiff! hist2d > > hist2d! stride strides StridedArray StridedVector StridedMatrix > > StridedVecOrMat redirect_stdin > > > > std(v[, region]) > > > > Compute the sample standard deviation of a vector or array v, > > optionally along dimensions in region. The algorithm returns an > > estimator of the generative > > distribution's standard deviation under the assumption that > > each entry of v is an IID drawn from that generative distribution. > > This computation is equivalent to > > calculating sqrt(sum((v - mean(v)).^2) / (length(v) - 1)). > > Note: Julia does not ignore NaN values in the computation. For > > applications requiring the handling of > > missing data, the DataArray package is recommended. > > > > Having said this, documentation always needs improvements and is > > certainly not on Matlab's level of completeness. Please contribute > > where you find it lacking. See > > https://github.com/JuliaLang/julia/blob/master/CONTRIBUTING.md#impr > > oving-documentation > > > > > > On Fri, 2016-02-12 at 09:18, NotSoRecentConvert <[email protected]> > > wrote: > > > You can even download the entire thing as a PDF, HTML, or EPUB if > > you want > > > to highlight, annotate, or bookmark your most searched functions. > > Look in > > > the lower right of the page for "v: latest" and click it for more > > options. > > > > > > On Friday, February 12, 2016 at 8:03:27 AM UTC+1, Lutfullah Tomak > > wrote: > > >> > > >> There is this one > > >> > > >> http://docs.julialang.org/en/release-0.4/stdlib/math/#Base.std > > >> > > >> Instead of google, I use this manual for search. > > >> > > >> > >
