Graphics Reference
In-Depth Information
twoway (scatter rs id, text( -3 27 "Possible Outliers", size(vlarge)))
(scatteri -3 18 -4.8 10, recast(line))
(scatteri -3 18 -3 3, recast(line)), legend(off)
This graph is similar to the one above
but uses the
text()
option to add text
to the graph. Two
scatteri
commands
are used to draw a line from the text
Possible Outliers
to the markers for
those points. The
coordinates are
given for the starting and ending
positions, and
recast(line)
makes
scatteri
behave like a line plot,
connecting the points to the text.
Uses allstates.dta & scheme vg s2c
yx
Possible Outliers
0
10
20
30
40
50
twoway (scatter rs l [aw=cd], msymbol(Oh))
(scatter rs l if cd > .1, msymbol(i) mlabel(stateab) mlabpos(0))
(scatter rs l if cd > .1, msymbol(i) mlabel(cd) mlabpos(6)), legend(off)
This graph shows the
leverage-versus-studentized residuals,
weighting the symbols by Cook's
CT
.1235647
D
(
cd
). We overlay it with a scatterplot
showing the marker labels if
cd
exceeds
.1, with the
cd
value placed underneath.
Uses allstates.dta & scheme vg s2c
AK
.1903994
DC
.6812371
0
.1
.2
.3
.4
Leverage
Imagine that we have a data file called
comp2001ts
that contains variables representing
the stock prices of four hypothetical companies:
pricealpha
,
pricebeta
,
pricemu
,and
pricesigma
, as well as a variable
date
. To compare the performance of these companies,
let's make a line plot for each company and stack them. We can do this using
twoway
tsline
with the
by(company)
option, but we first need to reshape the data into a
long
format. We do so with the following commands:
. vguse comp2001ts
. reshape long price, i(date) j(compname) string
We now have variables
price
and
company
and can graph the prices by company.
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