| schemename | Foreground | Background | Description |
|---|---|---|---|
| stcolor | color | white | factory setting |
| stgcolor | color | white | modified stcolor for the Stata manuals |
| stcolor_alt | color | white | stcolor with modified dimensions and legend |
| stgcolor_alt | color | white | modified stcolor_alt for the Stata manuals |
| s2color | color | white | factory setting prior to Stata 18 |
| s2mono | monochrome | white | s2color in monochrome |
| s2gcolor | color | white | previously used in the Stata manuals |
| s2manual | monochrome | white | s2gcolor in monochrome |
| s2gmanual | monochrome | white | previously used in the Stata [G]manual |
| s1rcolor | color | black | a plain look on black background |
| s1color | color | white | a plain look |
| s1mono | monochrome | white | a plain look in monochrome |
| s1manual | monochrome | white | s1mono but smaller |
| economist | color | white | The Economist magazine |
| sj | monochrome | white | Stata Journal |
附代码
clear
set obs 6
gen y = 3.6 in 1
replace y = 3.4 in 2
replace y = 7.6 in 3
replace y = 7.4 in 4
replace y = 11.6 in 5
replace y = 11.4 in 6
gen x = _n
reg y x
predict xb
gen e = y - xb
format %9.2f xb
format %9.2f e
egen addtext_mean = rowmean(y xb)
forv i = 1/6{
su add in `i',d
global y`i' = r(mean)
su e in `i',d
global e`i' = r(mean)
}
tw (scatter y x, mlab(y) mlabp(1)) ///
(lfit y x) ///
(scatter xb x, mlab(xb) mlabp(1)) ///
(rspike y xb x) ,legend(off) ///
text($y1 0.9 "0.63",size(vsmall) color(red)) ///
text($y2 1.9 "-1.38",size(vsmall) color(red)) ///
text($y3 2.9 "1.01",size(vsmall) color(red)) ///
text($y4 3.9 "-1.01",size(vsmall) color(red)) ///
text($y5 4.9 "1.38",size(vsmall) color(red)) ///
text($y6 5.9 "-0.63",size(vsmall) color(red)) ///
ylabel(,nogrid) xlabel(,nogrid) scheme(sj)
clear
set obs 24
egen id = repeat(), v(1/4)
sort id
egen year = repeat(),v(2011/2016)
gen x = rnormal() * (year - 2010) / 10 + year / 100 + id /5 + 0.65 * (year - 2010.5)
foreach v in cblind1 neon plottig plottigblind rainbow swift_red tab1 tab2 tab3 tfl ukraine cleanplots dsmoderation lean1 lean2 meta plotplain plotplainblind rbn1mono rbn2mono s1network s2network s3network scientific tufte{
tw (connect x year if id == 1) ///
(connect x year if id == 2) ///
(connect x year if id == 3) ///
(connect x year if id == 4) ///
,scheme(`v') name(fig`v',replace) ///
text(24 2012 "`v'",size(*1.8) color(red))
graph export "`v'.png", as(png) name("fig`v'") replace
}
