Thanks as always to Kit Baum, a new version of the eclplot package (described as below on my website) is now available for download from SSC. In Stata, use the ssc command to do this, or adoupdate if you already have an old version of eclplot.

The eclplot package creates any one of 56 varieties of confidence interval plots,some of which are more useful than others. The new version updates the supby(supby_varname [, suboptions] ) option, which enables the user to superimpose multiple confidence interval plots on the same graph. I have fixed a bug/feature, which caused legend key text labels to be truncated at 32 bytes, enabling longer key text labels. I have also enabled the supby_varname variable to be string instead of numeric, in which case the key text labels in the legend are ordered alphabetically by string value.

Best wishes

Roger

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package eclplot from http://www.rogernewsonresources.org.uk/stata13
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TITLE
eclplot: Horizontal and vertical confidence interval plots

DESCRIPTION/AUTHOR(S)
eclplot creates a plot of estimates with lower and upper confidence limits
on one axis against another numeric variable on the other axis. The estimates
and lower and upper confidence limits are stored in three variables, in a
data set with one observation per confidence interval to be plotted. Data
sets with such variables may be created manually (using a spreadsheet),
or using the parmest package, or using statsby or postfile in official Stata.
The user has a choice of plotting the confidence intervals horizontally or
vertically, a choice of plot styles for the estimates, and a choice of range
plot styles for the confidence intervals. It is also possible to overlay
the confidence interval plot with other plots using the plot() option,
and to overlay multiple superimposed confidence interval plots using the
supby() option. eclplot may be used either as a command or through a dialog.

Author: Roger Newson
Distribution-Date: 06march2021
Stata-Version: 13

INSTALLATION FILES (click here to install)
eclplot.ado
eclplot.sthlp
eclplot.dlg
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