NJC Stata Plots | Stata FAQ

This page presents examples of graphics programs written by Nicholas J. Cox (Durham University). You can obtain these programs by typing, search command_name, into the Stata command line and following the instructions (see How can I use the search command to search for programs and get additional help? for more information about using search). This page is not an exhaustive list of all of the graphics commands written by Nick Cox but merely a collection of the ones that we use most frequently. The command ssc install njc_stuff will download two help files listing all programs written by Nick Cox, including his graph commands.

This page contains only the commands and the plots themselves, there is no further explanation. We envision that users will look through the plots and when they find one that appears to do what they want, they will download the program and carefully read the help files.

Most of these examples use the hsb2 dataset which can be downloaded from within Stata using the following command:
use https://stats.idre.ucla.edu/stat/data/hsb2, clear
Note: Most of the graphs were produced using the scheme lean1. Whenever a different scheme is used, it is given in the command.

asciiplot– graph ASCII character set in current graph font

asciiplot

anovaplot– plot cell means following anova

anova write female prog female*prog
anovaplot prog female

anovaplot prog female, scatter(msym(i))

beamplot — horizontal dotplots using beams

beamplot write

beamplotplot write, over(female)

binsm — bin smoothing and summary on scatter plots

binsm write read, width(5) scatter(jitter(2))

catplot — plots of categorical data

catplot prog race

catplot prog race, by(female)

ciplot — plots of confidence intervals

ciplot write science, by(female)

corrtable — correlation matrix as graphical table

corrtable read write math science

cpyxplot — twoway plots for each y vs each x

cpyxplot write \ read  math science

diagsm — diagonal smoothing

diagsm write math

distplot — distribution function plots

distplot write

distplot write, over(female)

doublesm — double smoothing

doublesm write math

dpplot — density probability plots

dpplot write

eqprhistogram — equal probability histograms

eqprhistogram write, mean

fractileplot — smoothing with distribution function predictors

fractileplot write read math science socst

indexplot — index plots following estimation

regress write read
indexplot, show(cooksd) hi(3)

indexplot, show(rstandard) base(0)

kaplansky — graph examples of distributions of varying kurtosis

kaplansky

mlowess — lowess smoothing with multiple predictors

mlowess write read math science socst

mrunning — running line smoother (multivariable version)

mrunning write read math

ovfplot

regress write read
ovfplot

regress write read female
ovfplot, by(female)

pairplot — plots of paired observations

pairplot write science in 1/30

pairplot write science in 1/30, diff

parplot — parallel coordinates plots

parplot female write science

pdplot — Pareto dot plots

pdplot prog

polarsm — polar smoothing

polarsm write read, over(female) by(female)

ppplot — P-P plots

ppplot connected write, by(female) ref(0)

ppplot connected write math

qplot — quantile plots

qplot write

rcspline — restricted cubic spline smoothing

rcspline write read

rdplot

regress write read
rdplot, g(3)

regplot

regress write read
regplot

generate write2 = write^2
regress math write write2
regplot

regress write read female
regplot, by(female) scheme(s2mono)

rhetplot

regress write read
rhetplot, by(prog female)

running — symmetric nearest neighbor smoothing

running write read, scatter(jitter(2))

rvfplot2

regress write read female
rvfplot2, rstandard yline(0)

rvpplot2

regress write read female
rvpplot2 read, rstandard yline(0)

skewplot — skewness plots

skewplot math

slideplot — sliding bar plots

slideplot bar female, pos(1) neg(0) by(prog)

spineplot — spine plots for two-way categorical data

spineplot ses female, bar1(color(gs14)) bar2(color(gs10)) bar3(color(gs6))

spineplot race ses

stemplot — stem-and-leaf plots

stemplot write

stemplot write, d(2) by(female) back scheme(s2mono)

stripplot — strip plots

generate pipe = "|"
stripplot write, over(prog) mlabel(pipe) mlabpos(0) msymbol(i)

tableplot — graphical display in two-way table format

use https://stats.idre.ucla.edu/stat/stata/notes/lahigh, clear
egen mabs = mean(daysabs), by(school gender)
tableplot rbar mabs school gender

tabplot — two-way table shown as table of bars

use https://stats.idre.ucla.edu/stat/data/hsb2, clear
tabplot ses female, showval percent(female)