painters


  The subjective assessment, on a 0 to 20 integer scale, of 54
  classical painters.  The painters were assessed on four characteristics:
  composition, drawing, colour and expression.  The data is due to the
  Eighteenth century art critic, de Piles.


datasets

Functions and datasets to support Venables and Ripley,
"Modern Applied Statistics with S" (4th edition, 2002).

Brian Ripley

MASS

Support Functions and Datasets for Venables and Ripley's MASS

painters function

The row names of the data frame are the painters. The components are:
 <dl>
 <dt><code>Composition</code></dt><dd>
 Composition score.
 </dd> <dt><code>Drawing</code></dt><dd>
 Drawing score.
 </dd> <dt><code>Colour</code></dt><dd>
 Colour score.
 </dd> <dt><code>Expression</code></dt><dd>
 Expression score.
 </dd> <dt><code>School</code></dt><dd>
 The school to which a painter belongs, as indicated by a factor level
 code as follows:
 <code>"A"</code>: Renaissance;
 <code>"B"</code>: Mannerist;
 <code>"C"</code>: Seicento;
 <code>"D"</code>: Venetian;
 <code>"E"</code>: Lombard;
 <code>"F"</code>: Sixteenth Century;
 <code>"G"</code>: Seventeenth Century;
 <code>"H"</code>: French.
 </dd> </dl>

Format

A. J. Weekes (1986)
 A Genstat Primer. Edward Arnold. M. Davenport and G. Studdert-Kennedy (1972) The statistical
 analysis of aesthetic judgement: an exploration.
 Applied Statistics 21, 324--333. I. T. Jolliffe (1986)
 Principal Component Analysis. Springer.

painters: The Painter's Data of de Piles

Description

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References