Code to make a dot and 95% confidence interval figure in Stata

Dot and confidence interval figures in Stata

Stata has a pretty handy -twoway scatter- code that can be combined with -twoway rcap- to make the figure below. Example code at the bottom.

Horizontal version

Vertical version

First step, make an Excel file

I made an excel file with the below columns called “dot and 95 percent ci data.xlsx” saved in the same folder as my .do file. This figure will display row 1 at the top and row 14 at the bottom. The gaps in between the lines are the absent rows 3,6, 9, and 12. Group tells Stata if you want a red diamond or blue square. Proportion is the point estimate and low95 and high95 are the surrounding 95% confidence intervals.

Note that the data here are made up and are not related to any actual ongoing clinical investigation. 

Next step, make a .do file

In the same folder as the Excel file, copy/paste/save the code below as a .do file. Close Excel and close Stata then find the .do file from Windows Explorer and double click it. Doing this will force Stata to set the working directory as the folder containing the .do file (and the Excel file).

If the code won’t work, you probably have Excel open. Close it and try again.

That’s it!

Share and enjoy. Code below.

********************************************************************************
******************************IMPORT DATA HERE**********************************
********************************************************************************
import excel "dot and 95 percent ci data.xlsx", firstrow clear
destring, replace


******************************************************************************** 
******************************CODE STARTS HERE********************************** 
******************************************************************************** 
set scheme s1mono // black and white

twoway ///
(rcap low95 high95 row, horizontal) /// code for 95% CI
(scatter row proportion if group ==1, mcolor(red)) /// dot for group 1
(scatter row proportion if group ==2, mcolor(blue)) /// dot for group 2
, legend(row(1) order(2 "legend 1" 3 "legend 2") pos(6)) /// legend at 6 o'clock position
ylabel(1.5 "Model A" 4.5 "Model B" 7.5 "Model C" 10.5 "Model D" 13.5 "Model E", angle(0) noticks) ///
/// note that the labels are 1.5, 4.5, etc so they are between rows 1&2, 4&5, etc.
/// also note that there is a space in between different rows by leaving out rows 3, 6, 9, and 12 
xlabel(.95 " " 1 "1.0" 1.1 "1.1" 1.2 "1.2" 1.3 "1.3" 1.4 "1.4" 1.5 "1.5" 1.6 " ", angle(0)) /// no 1.6 label
title("Title") ///
xtitle("X axis") /// 
ytitle("Y axis") /// 
yscale(reverse) /// y axis is flipped
xline(1.0, lpattern(dash) lcolor(gs8)) ///
/// aspect (next line) is how tall or wide the figure is
aspect(.5)

graph export "dot and 95 percent ci figure.png", replace width(2000)
//graph export "dot and 95 percent ci figure.tif", replace width(2000)


********************************************************************************
******************************CODE STARTS HERE**********************************
********************************************************************************
set scheme s1mono // black and white

twoway ///
(rcap low95 high95 row, vert) /// code for 95% CI
(scatter proportion row if group ==1, mcolor(red)) /// dot for group 1
(scatter proportion row if group ==2, mcolor(blue)) /// dot for group 2
, legend(row(1) order(2 "legend 1" 3 "legend 2") pos(6)) /// legend at 6 o’clock position
xlabel(1.5 "Model A" 4.5 "Model B" 7.5 "Model C" 10.5 "Model D" 13.5 "Model E", angle(0) noticks) ///
/// note that the labels are 1.5, 4.5, etc so they are between rows 1&2, 4&5, etc.
/// also note that there is a space in between different rows by leaving out rows 3, 6, 9, and 12
ylabel(0.9 "0.9" 1 "1.0" 1.1 "1.1" 1.2 "1.2" 1.3 "1.3" 1.4 "1.4" 1.5 "1.5" , angle(0)) /// no 1.6 label
title("Title") ///
xtitle("X axis") ///
ytitle("Y axis") ///
yline(1.0, lpattern(dash) lcolor(gs8)) ///
/// aspect (next line) is how tall or wide the figure is
aspect(.5)

graph export "dot and 95 percent ci figure vert.png", replace width(2000)
//graph export "dot and 95 percent ci figure.tif", replace width(2000)