design.lattice

SIMPLE and TRIPLE lattice designs. It randomizes treatments in k x k lattice.

 design 

Original idea was presented in the thesis "A statistical analysis tool for agricultural research" to obtain the degree of Master on science, National Engineering University (UNI), Lima-Peru. Some experimental data for the examples come from the CIP and others research. Agricolae offers extensive functionality on experimental design especially for agricultural and plant breeding experiments, which can also be useful for other purposes. It supports planning of lattice, Alpha, Cyclic, Complete Block, Latin Square, Graeco-Latin Squares, augmented block, factorial, split and strip plot designs. There are also various analysis facilities for experimental data, e.g. treatment comparison procedures and several non-parametric tests comparison, biodiversity indexes and consensus cluster.

Felipe Mendiburu

agricolae

Statistical Procedures for Agricultural Research

design.lattice function

<dl> <dt>trt</dt>
<dd>treatments</dd> <dt>r</dt>
<dd>r=2(simple) or r=3(triple) lattice</dd> <dt>serie</dt>
<dd>number plot, 1: 11,12; 2: 101,102; 3: 1001,1002</dd> <dt>seed</dt>
<dd>seed</dd> <dt>kinds</dt>
<dd>method for to randomize</dd> <dt>randomization</dt>
<dd>TRUE or FALSE - randomize</dd></dl>

Arguments

Author

Lattice designs — design.lattice

<dl>

 <dt>trt</dt>
<dd>treatments</dd>

 <dt>r</dt>
<dd>r=2(simple) or r=3(triple) lattice</dd>

 <dt>serie</dt>
<dd>number plot, 1: 11,12; 2: 101,102; 3: 1001,1002</dd>

 <dt>seed</dt>
<dd>seed</dd>

 <dt>kinds</dt>
<dd>method for to randomize</dd>

 <dt>randomization</dt>
<dd>TRUE or FALSE - randomize</dd>

</dl>

The Learning Leader's Guide to AI Literacy

design.lattice: Lattice designs

Description

Usage

Value

Arguments

Author

Details

References

See Also

Examples