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This template should be used for all outbreak, epidemic and pandemic medical cases charts based on {} to maintain consistency. It displays horizontal bars for up to 5 different classifications of cases for each valid date or interval.
ggplot2 is an open-source data visualization package for the statistical programming language R.Created by Hadley Wickham in 2005, ggplot2 is an implementation of Leland Wilkinson's Grammar of Graphics—a general scheme for data visualization which breaks up graphs into semantic components such as scales and layers. ggplot2 can serve as a replacement for the base graphics in R and contains a ...
|square= Makes the chart/plot a square (default no) |width= The width of the chart |picture= The picture for the background of the chart, excluding File: or Image: (default Blank.png) |size= The size of the dots (default 8px) |bottom= Text tho show on the bottom of the template |top= The header to show on top of the graph
This template is used on approximately 4,500 pages and changes may be widely noticed. Test changes in the template's /sandbox or /testcases subpages, or in your own user subpage . Consider discussing changes on the talk page before implementing them.
This work has been released into the public domain by its author, Mik81.This applies worldwide. In some countries this may not be legally possible; if so: Mik81 grants anyone the right to use this work for any purpose, without any conditions, unless such conditions are required by law.
{{Medical citation needed span}} − functions exactly the same way as this template, except it highlights the text that needs a reference. E.g., this text is an unsourced biomedical claim. [medical citation needed] {{More medical citations needed}} – adds a banner to the article: "This article needs more medical references for verification ...
Many boosting algorithms rely on the notion of a margin to assign weight to samples. If a convex loss is utilized (as in AdaBoost or LogitBoost, for instance) then a sample with a higher margin will receive less (or equal) weight than a sample with a lower margin. This leads the boosting algorithm to focus weight on low-margin samples.
A rug plot of 100 data points appears in blue along the x-axis. (The points are sampled from the normal distribution shown in gray. The other curves show various kernel density estimates of the data.) A rug plot is a plot of data for a single quantitative variable, displayed as marks along an axis. It is used to visualise the distribution of ...