lsddata

The data consists of Rows, Columns, Treatments and two dependent variables Yield and Plant Height. The data is generated manually.

datasets

Performs analysis of popular experimental designs used in the field of biological research. The designs covered are completely randomized design, randomized complete block design, factorial completely randomized design, factorial randomized complete block design, split plot design, strip plot design and latin square design. The analysis include analysis of variance, coefficient of determination, normality test of residuals, standard error of mean, standard error of difference and multiple comparison test of means. The package has functions for transformation of data and yield data conversion. Some datasets are also added in order to facilitate examples.

Raj Popat

doebioresearch

Analysis of Design of Experiments for Biological Research

Kanthesh Banakara

lsddata function

The data has 5 columns and 25 rows<dl class="dl-horizontal">
<dt>Row</dt><dd>Consist sequence of rows. Row consists of 5 levels</dd>
<dt>Column</dt><dd>Consist sequence of column. Column consists of 5 levels</dd>
<dt>Treatment</dt><dd>Consist sequence of treatments. There are 5 treatments A, B, C, D &amp; E</dd>
<dt>Yield</dt><dd>Yield as dependent variable</dd>
<dt>Plant Height</dt><dd>Plant height as dependent variable</dd>
</dl>

Format

Data for Latin Square Design — lsddata

The data has 5 columns and 25 rows<dl class='dl-horizontal'>
<dt>Row</dt><dd>Consist sequence of rows. Row consists of 5 levels</dd>
<dt>Column</dt><dd>Consist sequence of column. Column consists of 5 levels</dd>
<dt>Treatment</dt><dd>Consist sequence of treatments. There are 5 treatments A, B, C, D &amp; E</dd>
<dt>Yield</dt><dd>Yield as dependent variable</dd>
<dt>Plant Height</dt><dd>Plant height as dependent variable</dd>
</dl>

lsddata: Data for Latin Square Design

Description

Usage

Arguments

Format