Graphics Reference
In-Depth Information
graph dot prev exp tenure ttl exp, ascategory
over(south, relabel(1 "N & W" 2 "South"))
yvaroptions(relabel(1 "Previous" 2 "Current" 3 "Total"))
In this example, we have multiple
y
-variables that are converted into
categorical variables via the
ascategory
option, and an
over()
variable, as well. The
relabel()
option
within the
over()
option changes the
labels for
south
, and the
relabel()
option within
yvaroptions()
changes
the labels for the multiple
Previous
N & W
Current
Total
Previous
South
Current
-variables.
Uses nlsw.dta & scheme vg past
y
Total
0
5
10
15
graph dot prev exp tenure ttl exp, ascategory
xalternate
over(south, relabel(1 "N & W" 2 "South"))
yvaroptions(relabel(1 "Previous" 2 "Current" 3 "Total"))
We add the
xalternate
option, which
moves the labels for the
x
-axis to the
opposite side, in this case, from the left
to the right. We could also use the
yalternate
option to move the
Previous
N & W
Current
y
-axis
Total
to its opposite side.
Uses nlsw.dta & scheme vg past
Previous
South
Current
Total
0
5
10
15
graph dot wage, over(occ7)
l1title("Occupations recoded" "into seven categories")
In this example, the categorical axis
represents the occupation after recoding
it into seven categories. We can use the
l1title()
option to add a title to the
left of the graph labeling this axis. Note
that we broke the title into two quoted
strings that appear on the graph as two
lines. We could also add a second title
to the left with
l2title()
;see
Standard
options : Titles
(313) for more details.
Uses nlsw.dta & scheme vg past
Prof
Mgmt
Sales
Cler.
Operat.
Labor
Other
0
2
4
6
8
10
mean of wage
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