Improvements are welcomed. On Friday, February 12, 2016, Po Choi <[email protected]> wrote:
> Good point. I tried to use this search box in Juila manual, but get > nothing. > In R and Matlab, the search would return the function sd/std. > > I think, not only the "words" in Julia documentation is needed to > improved, but also the search engine. > > On Friday, February 12, 2016 at 12:52:19 AM UTC-8, Michele Zaffalon wrote: >> >> 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? >> >> >> 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#improving-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. >>> >> >>> >> >>> >> >>
