indexplot
Index plots can provide a quick way to scan large amounts of data to look unusual or aberent observations. The Stata 7 command indexplot by Nick Cox is flexible and easy to use. You can locate the command by typing findit modeldiag.
use http://www.gseis.ucla.edu/courses/data/crime, clear
regress crime pctmetro poverty single
Source | SS df MS Number of obs = 51
-------------+------------------------------ F( 3, 47) = 82.16
Model | 8170480.21 3 2723493.40 Prob > F = 0.0000
Residual | 1557994.53 47 33148.8199 R-squared = 0.8399
-------------+------------------------------ Adj R-squared = 0.8296
Total | 9728474.75 50 194569.495 Root MSE = 182.07
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crime | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
pctmetro | 7.828935 1.254699 6.24 0.000 5.304806 10.35306
poverty | 17.68024 6.94093 2.55 0.014 3.716893 31.64359
single | 132.4081 15.50322 8.54 0.000 101.2196 163.5965
_cons | -1666.436 147.852 -11.27 0.000 -1963.876 -1368.996
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indexplot, show(rstu) recast(scatter) yline(2.5 -2.5)
indexplot, show(rstu) recast(scatter) hig(3) low(3) yline(-2.5 2.5) mlabel(state)
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indexplot, show(leverage) recast(scatter) hig(3) mlabel(state)
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indexplot, show(cooksd) recast(scatter) hig(3) yline(1) mlabel(state)
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indexplot, show(dfbeta(poverty)) recast(scatter) hig(3) mlabel(state)
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indexplot, show(dfbeta(single)) recast(scatter) hig(3) mlabel(state)
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Phil Ender, 21Jan04