plrv

Six environments: Ayacucho, La Molina 02, San Ramon 02, Huancayo,
 La Molina 03, San Ramon 03.

datasets

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

plrv function

A data frame with 504 observations on the following 6 variables.<dl class="dl-horizontal">
 <dt><code>Genotype</code></dt><dd>a factor with levels <code>102.18</code> <code>104.22</code> <code>121.31</code> <code>141.28</code> <code>157.26</code> <code>163.9</code> <code>221.19</code> <code>233.11</code> <code>235.6</code> <code>241.2</code> <code>255.7</code> <code>314.12</code> <code>317.6</code> <code>319.20</code> <code>320.16</code> <code>342.15</code> <code>346.2</code> <code>351.26</code> <code>364.21</code> <code>402.7</code> <code>405.2</code> <code>406.12</code> <code>427.7</code> <code>450.3</code> <code>506.2</code> <code>Canchan</code> <code>Desiree</code> <code>Unica</code></dd>
 <dt><code>Locality</code></dt><dd>a factor with levels <code>Ayac</code> <code>Hyo-02</code> <code>LM-02</code> <code>LM-03</code> <code>SR-02</code> <code>SR-03</code></dd>
 <dt><code>Rep</code></dt><dd>a numeric vector</dd>
 <dt><code>WeightPlant</code></dt><dd>a numeric vector</dd>
 <dt><code>WeightPlot</code></dt><dd>a numeric vector</dd>
 <dt><code>Yield</code></dt><dd>a numeric vector</dd>
 </dl>

Format

Data clones from the PLRV population — plrv

A data frame with 504 observations on the following 6 variables.<dl class='dl-horizontal'>
 <dt><code>Genotype</code></dt><dd>a factor with levels <code>102.18</code> <code>104.22</code> <code>121.31</code> <code>141.28</code> <code>157.26</code> <code>163.9</code> <code>221.19</code> <code>233.11</code> <code>235.6</code> <code>241.2</code> <code>255.7</code> <code>314.12</code> <code>317.6</code> <code>319.20</code> <code>320.16</code> <code>342.15</code> <code>346.2</code> <code>351.26</code> <code>364.21</code> <code>402.7</code> <code>405.2</code> <code>406.12</code> <code>427.7</code> <code>450.3</code> <code>506.2</code> <code>Canchan</code> <code>Desiree</code> <code>Unica</code></dd>
 <dt><code>Locality</code></dt><dd>a factor with levels <code>Ayac</code> <code>Hyo-02</code> <code>LM-02</code> <code>LM-03</code> <code>SR-02</code> <code>SR-03</code></dd>
 <dt><code>Rep</code></dt><dd>a numeric vector</dd>
 <dt><code>WeightPlant</code></dt><dd>a numeric vector</dd>
 <dt><code>WeightPlot</code></dt><dd>a numeric vector</dd>
 <dt><code>Yield</code></dt><dd>a numeric vector</dd>
 </dl>

plrv: Data clones from the PLRV population

Description

Usage

Arguments

Format

References

Examples