Fac4Proc.dat

<p>The data set come from an unreplicated \(2^4\) factorial experiment to 
investigate a chemical process. The response variable is the Conversion 
percentage (Conv) and this is indexed by the 4 two-level factors Catal, Temp, 
Press and Conc, with levels &#8220;-&#8221; and &#8220;+&#8221;. The data is aranged in 
Yates order. Also included is the 16-level factor Runs which gives the order 
in which the combinations of the two-level factors were run.</p>

datasets

The content falls into the following groupings: (i) Data, (ii)
Factor manipulation functions, (iii) Design functions, (iv) ANOVA functions, (v)
Matrix functions, (vi) Projector and canonical efficiency functions, and (vii)
Miscellaneous functions. There is a vignette describing how to use the
design functions for randomizing and assessing designs available as a
vignette called 'DesignNotes'. The ANOVA functions facilitate the extraction of
information when the 'Error' function has been used in the call to 'aov'.
The package 'dae' can also be installed from
<http://chris.brien.name/rpackages/>.

Chris Brien

Functions Useful in the Design and ANOVA of Experiments

Fac4Proc.dat function

<p>A data.frame containing 16 observations of 6 variables.</p>

Fac4Proc.dat: Data for a 2^4 factorial experiment

Description

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