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\centerline{\bf STANFORD UNIVERSITY}
\centerline{\bf DEPARTMENT OF STATISTICS}
\centerline{\big JOINT STATISTICS/BIOSTATISTICS SEMINAR}
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\centerline{4:15 p.m., Tuesday, April 20, 2004}
\centerline{Sequoia Hall Room 200}
\centerline{(Cookies at 3:45 in the 1st Floor Lounge)}


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\centerline{\sl Adi Raveh}
\centerline{\sl Hebrew University}
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\centerline{\bf Co-plot: A graphical display technique for analyzing multivariate data}
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Abstract:

Co-plot is a multivariate method that is efficient  geometrically
representing  matrices. Co-plot is a two-dimensional graphical
display. Its main feature is the simultaneous analysis of observations
and variables in a simple way. The method produces three results:

1) similarity among observations
2) the structure of correlations among the variables,
3) the mutual relationships between the observations and the variables.

The method is demonstrated on some classical case-studies and is
compared
to Principal Component Analysis.

The co-lot is relatively friendly software, and some of its properties
will be demonstrated.

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