Thanks to Kit Baum, the -stripplot- package has been
revised on SSC. Stata 8.2 is required.
-stripplot- is for showing univariate distributions
on a common scale. Several variables on comparable
scales may be plotted, or a single variable may be
compared according to the groups of variables
specified -by()- and/or -over()- options.
The starting point of -stripplot- is one or more strips
of data points showing values against a magnitude
scale. The name is chosen to reflect what I guess
is now the most common single term in the wider literature.
In Stata's own history, the term oneway plot has been used
previously. Some long-time users have missed the -graph,
oneway- and -graph, oneway box- commands that featured in Stata <= 7
and are now not directly available except through -graph7-
(although many oneway plots were very easy to reproduce
as scatter plots).
-stripplot- allows stacking of data points that are
identical, in terms of raw values or after user-specified
binning. This functionality thus resembles that of official
Stata's -dotplot- although in most senses -stripplot- is more
versatile than -dotplot-.
The last version of -stripplot- showed through examples in
the help how -stripplot- could be tweaked to add boxes of
median and quartiles, or bars showing confidence intervals.
The main change in this release is the addition of bar and
box options making that much easier for the user. -stripplot-
thus now allows a variety of hybrid or dual displays in which
values are shown either superimposed or adjacent to boxes
showing the middle half of each distribution, or bars showing
means and confidence intervals. For example, many statistically-minded
people are queasy about how much detail is omitted by standard
box plots or reduction to means and confidence intervals. -stripplot-
offers various ways of showing more.
The help file is fairly detailed.
To install or re-install this program, use -ssc-.
Some conversations with William Dupont were helpful in encouraging
me to push this revision forward.
Nick
[email protected]
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