UPSgraph: Display Sensitivity Analysis Graphic in Unsupervised...

Description Usage Arguments Details Author(s) References See Also

Description

Plot summary of results from multiple calls to UPSnnltd() and/or UPSivadj() after an initial setup call to UPSaccum(). The UPSgraph() plot displays any sensitivity of the LTD and LOA Distributions to choice of Number of Clusters in X-space.

Usage

1
UPSgraph(envir, nncol = "red", nwcol = "green3", ivcol = "blue", ...)

Arguments

envir

name of the working local control classic environment.

nncol

optional; string specifying color for display of the Mean of the LTD distribution when weighted by cluster size from any calls to UPSnnltd().

nwcol

optional; string specifying color for display of the Mean of the LTD distribution when weighted inversely proportional to variance from any calls to UPSnnltd().

ivcol

optional; string specifying color for display of the Difference in LOA predictions, at PS = 100% minus that at PS = 0%, from any calls to UPSivadj().

...

Additional arguments to pass to the plotting function.

Details

The third phase of Unsupervised Propensity Scoring is a graphical Sensitivity Analysis that depicts how the Overall Means of the LTD and LOA distributions change with the number of clusters.

Author(s)

Bob Obenchain <[email protected]>

References

Kaufman L, Rousseeuw PJ. (1990) Finding Groups in Data. An Introduction to Cluster Analysis. New York: John Wiley and Sons.

Obenchain RL. (2004) Unsupervised Propensity Scoring: NN and IV Plots. Proceedings of the American Statistical Association (on CD) 8 pages.

Obenchain RL. (2011) USPSinR.pdf USPS R-package vignette, 40 pages.

Rubin DB. (1980) Bias reduction using Mahalanobis metric matching. Biometrics 36: 293-298.

See Also

UPSnnltd, UPSivadj and UPSaccum.


OHDSI/LocalControl documentation built on July 13, 2018, 3:21 p.m.