pRep3

For the specified values of v and p, this function generates a series of p-rep designs. The input should meet the condition that v=6*p where, p&gt;=2.

Early generation breeding trials are to be conducted in multiple
environments where it may not be possible to replicate all the
lines in each environment due to scarcity of resources. For such
situations, partially replicated (p-Rep) designs have wide
application potential as only a proportion of the test lines are
replicated at each environment. A collection of several utility
functions related to p-Rep designs have been developed. Here, the
package contains six functions for a complete stepwise analytical
study of these designs. Five functions pRep1(), pRep2(), pRep3(),
pRep4() and pRep5(), are used to generate five new series of p-Rep
designs and also compute average variance factors and canonical
efficiency factors of generated designs. A fourth function NCEV()
is used to generate incidence matrix (N), information matrix (C),
canonical efficiency factor (E) and average variance factor (V).
This function is general in nature and can be used for studying the
characterization properties of any block design. A construction
procedure for p-Rep designs was given by Williams et al.(2011)
<doi:10.1002/bimj.201000102> which was tedious and time consuming.
Here, in this package, five different methods have been given to
generate p-Rep designs easily.

Vinaykumar L.N.

pRepDesigns

Partially Replicated (p-Rep) Designs

Cini Varghese

Mohd Harun

Ashutosh Dalal

Sayantani Karmakar

Vinayaka 

pRep3 function

<dl><dt>v</dt>
<dd>Total number of treatments or breeding lines or entries</dd>
<dt>p</dt>
<dd>positive integer (&gt;=2)</dd></dl>

Arguments

Third series of p-rep designs — pRep3

<dl>

<dt>v</dt>
<dd>Total number of treatments or breeding lines or entries</dd>


<dt>p</dt>
<dd>positive integer (&gt;=2)</dd>

</dl>

pRep3: Third series of p-rep designs

Description

Usage

Value

Arguments

References

Examples