Stata模块绘制小提琴图
violinplot绘制所谓的小提琴图，说明指定变量的分布。小提琴图是（反射的）密度估计和箱线图的叠加。
violinplot Stata 15 或更新版本以及来自 SSC 的以下软件包： dstat 、 moremata 、 palettes 、 colrspace
从 GitHub 安装：
. net from https://raw.githubusercontent.com/benjann/violinplot/main/
. net install violinplot, replace
从 SSC 安装：
. ssc install violinplot, replace
从 SSC 安装依赖项：
. ssc install dstat, replace
. ssc install moremata, replace
. ssc install palettes, replace
. ssc install colrspace, replace
一些示例（使用grytsle软件包；输入ssc install grstyle来安装该软件包）：
clear all
sysuse nlsw88
grstyle init
grstyle set imesh
grstyle set color sb muted
violinplot wage ttl_exp tenure, pdf(ll(0))
violinplot wage ttl_exp tenure, pdf(ll(0)) fill
violinplot wage ttl_exp tenure, pdf(ll(0)) fill vertical
violinplot (ttl_exp) (tenure), pdf(ll(0)) fill over(race)
violinplot wage, pdf(ll(0)) noline fill(fcolor(%50) lcolor(%100)) over(union) overlay
violinplot wage ttl_exp tenure, pdf(ll(0)) split(union) key(fill)
violinplot wage, pdf(ll(0)) over(industry) colors(plasma) fill nomedian nobox nowhiskers
violinplot wage, pdf(ll(0)) over(industry, sort) colors(plasma) box(type(fill)) nowhiskers
violinplot wage, left dscale(.) rag(offset(-.005) mlcolor(%20))
violinplot wage, over(union) overlay left dscale(.) nomedian ///
rag(offset(-.005 -0.01) mlcolor(%40))
violinplot wage, over(union) vertical fill absolute ///
rag(spread(10) msymbol(o) mcolor(%20) mlc(%0) pstyle(p2))
sysuse auto, clear
violinplot mpg turn, left rag(stack right msymbol(o) offset(-.05))
主要变化：
15feb2024 (1.1.9)
- markers of rag will now always be printed in the order of the weights (so that
(so that large dots will be at the back; if there are weights)
15feb2024 (1.1.8)
- rag(stack) now uses the same default step size for symmetric and asymmetric
stacks
- rag(stack) and rag(spread) now print large dots in the back (this is relevant,
e.g., if weights have been specified)
- rag(spread) now takes account of relative weights when generating the spread
(so that large dots tend to be placed more in the center)
14feb2024 (1.1.7)
- revised the computation of weighted markers in the rag; the sizes are now
determined in a way such that average weight typically corresponds to the
default (unweighted) marker size
- reorganized some code and fixed some minor issues
13feb2024 (1.1.6)
- markers in rag() will now be scaled by the weights if weights have been
specified; likewise, if suboption -unique- is specified, the markers of the
rag will be scaled by the number of collapsed observations (or sum of
weights); across results, the scaling of markers will be determined in a
way such that it is consistent with the scaling applied to the density
estimates; specify rag(noweight) to omit the scaling of markers
12feb2024 (1.1.5)
- rag() now has suboption stack() that can be used to produce raindrop plots
10feb2024 (1.1.3)
- second argument in rag(spread()) now allowed to use a fixed value for the
width of the spread (i.e. do not scale the distribution in proportion to the
density estimate)
- noline and nofill are now both allowed; noline and fill(select()) are now both
allowed
- key(fill) now also allowed with fill(select()); default key now rearmost
element if noline is specified
22mar2023 (1.1.2)
- violinplot did not work in Stata 15; this is fixed
02dec2022 (1.1.1)
- suboption unique added to rag()
29nov2022 (1.1.0)
- numlist now allowed in offset(), doffset(), and rag(offset()); numbers
will be recycled across physical plots
28nov2022 (1.0.9)
- options rag(), ragcolors(), and p#rag() added
- options left and right added
- options offset() and doffset() added; split(, offset())) no longer documented
(but still supported for backward compatibility)
- option dscale(.) now retains the original scaling of the PDFs (and replaces
the categprical axis by a continuous axis if there is only one violin or only
one overlay of violins)
- shorter abbreviations are now allowed for various options
- internal change in how positions of the violins are determines; counting now
starts at zero; now using negative counting in case of -horizontal- (rather
then using a revered axis)
25nov2022 (1.0.8)
- option slabels() did not work as expected; this is fixed
- options color(), lcolor(), fcolor() etc. did not allow color specifications
enclosed in double quotes; this is fixed
20nov2022 (version 1.0.7)
- options split() and slabels() added
- option absolute added
- can now also specify ltight or rtight; [l|r]tight is now passed through to
dstat; this requires the newest updates of dstat and moremata
07nov2022 (version 1.0.6)
- suboptions sort(), descending, and tlast added in over()
- suboptions type() and stat() added in box(), median(), and mean()
- option order() added
- p#el() options added; behavior of p#() improved
- option n() added
- addplot() did not work well if by() has been specified; this is fixed
- now using labsize(medium) for main axis labels if there are two levels
of axis labels
01nov2022 (version 1.0.5)
- option by() added
- options over(), olabels(), swap, gap(), atover, asover, nostack added
- change in suboptions of dscale()
- option nolabel added
- option addplot() added
- option cw added
- support for p#() options added
- now returning error if there are no valid observations
- density estimation now skipped if x is constant
- now using exact density estimation if range() restricts the evaluation
range to less than half the default evaluation range
- ticks and grid lines on categorical axis now deactivated (unless atover is
specified)
25oct2022 (version 1.0.4)
- weights were not taken into account; this is fixed
- option key() added
- option qdef() added
- option tight added
24oct2022 (version 1.0.3)
- the definition used to compute the whiskers was not correct; this is fixed
22oct2022 (version 1.0.2)
- changed default rendering of box and median (such that box is less thick)
22oct2022 (version 1.0.1)
- documentation added
- overlay option added
- option pstyles() added
- option horizontal added
- dscale(,subgraph) renamed to dscale(,group)
- various additional refinements and bug fixes
20oct2022 (version 1.0.0)
- released on GitHub
