autogenerate_design

Autogenerate a blocked factorial design for given number of factors, factor levels, block size and replications

Opens a 'shiny' app which supports theoretical and computational analysis of block designs for symmetrical and mixed level factorial experiments. This package includes tools to check whether a design has orthogonal factorial structure (OFS) with balance or not and is able to find the orthogonality deviation value if not having OFS. This package includes function to evaluate efficiency factor of all factorial effects in two situations, in the first situation if the design is verified with OFS and balance then calculate the efficiencies of all factorial effects using a specific analytical procedure and in the second situation if the design is verified with non-OFS and balance then a new general method has been developed and used to calculate efficiencies under the condition that the design should be proper and equi-replicated, See Gupta, S.C. and Mukerjee, R. (1987): "A Calculus for factorial arrangements". Lecture Notes in Statistics. No. 59, Springer-Verlag, Berlin, New York, <doi:10.1007/978-1-4419-8730-3>. For the easy use of package, 'shiny' app is used for giving inputs and inputs validation.

B N Mandal

FactEff

Efficiencies of Block Designs for Factorial and Fractional
Factorial Experiments

Sukanta Dash

Baidya Nath Mandal

Anil Kumar

autogenerate_design function

<dl><dt>n_factors</dt>
<dd>a positive integer, denoting number of factors</dd><dt>factor_levels</dt>
<dd>a numeric vector with positive entries with length same as n_factors, elements denoting levels of factors</dd><dt>block_size</dt>
<dd>a positive integer, denoting block size</dd><dt>replications</dt>
<dd>a positive integer, denoting number of replications</dd></dl>

Arguments

Autogenerate a blocked factorial design for given number of factors, factor levels, block size and replications — autogenerate_design

<dl>

<dt>n_factors</dt>
<dd>a positive integer, denoting number of factors</dd>

<dt>factor_levels</dt>
<dd>a numeric vector with positive entries with length same as n_factors, elements denoting levels of factors</dd>

<dt>block_size</dt>
<dd>a positive integer, denoting block size</dd>

<dt>replications</dt>
<dd>a positive integer, denoting number of replications</dd>

</dl>

autogenerate_design: Autogenerate a blocked factorial design for given number of factors, factor levels, block size and replications

Description

Usage

Value

Arguments

Examples