rocplot {Zelig}R Documentation

Receiver Operator Characteristic Plots

Description

The rocplot command generates a receiver operator characteristic plot to compare the in-sample (default) or out-of-sample fit for two logit or probit regressions.

Usage

rocplot(y1, y2, fitted1, fitted2, cutoff = seq(from=0, to=1, length=100), 
        lty1 = "solid", lty2 = "dashed", lwd1 = par("lwd"), lwd2 = par("lwd"),
        col1 = par("col"), col2 = par("col"), main, xlab, ylab, ...)

Arguments

y1 Response variable for the first model.
y2 Response variable for the second model.
fitted1 Fitted values for the first model. These values may represent either the in-sample or out-of-sample fitted values.
fitted2 Fitted values for the second model.
cutoff A vector of cut-off values between 0 and 1, at which to evaluate the proportion of 0s and 1s correctly predicted by the first and second model. By default, this is 100 increments between 0 and 1, inclusive.
lty1, lty2 The line type for the first model ({tt lty1}) and the second model (lty2), defaulting to solid and dashed, respectively.
lwd1, lwd2 The width of the line for the first model (lwd1) and the second model (lwd2), defaulting to 1 for both.
col1, col2 The colors of the line for the first model (col1) and the second model (col2), defaulting to black for both.
main a title for the plot. Defaults to "Roc Curve".
xlab a label for the x-axis. Defaults to "Proportion of 1's Correctly Predicted".
ylab a label for the y-axis. Defaults to Proportion of 0's Correctly Predicted".
... Additional parameters passed to plot, including xlab, ylab, and main.

Author(s)

Kosuke Imai <kimai@princeton.edu>; Gary King <king@harvard.edu>; Olivia Lau <olau@fas.harvard.edu>

See Also

The full Zelig manual (available at http://gking.harvard.edu/zelig), plot, lines.


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