data_ex

It is a real dataset in agriculture, which includes planted cultivars in
multi-environment and the resulting yield.

datasets

The Stochastic Dominance (SD) is the classical way of comparing two
random prospects, using their distribution functions. Almost Stochastic
Dominance (ASD) has also been developed to cover the SD failures due to
the extreme utility functions. This package focuses on classical and heuristic methods
for testing the first and second SD and ASD methods given the probability mass
function (PMF) of the random prospects. The goal is to apply these methods
easily, efficiently, and effectively on real-world datasets. For more
details see Hanoch and Levy (1969) <doi:10.2307/2296431>, Leshno and Levy
(2002) <doi:10.1287/mnsc.48.8.1074.169>, and Tzeng et al. (2012)
<doi:10.1287/mnsc.1120.1616>.

Shayan Tohidi

Compares Random Distributions using Stochastic Dominance

Sigurdur Olafsson

data_ex function

A data frame with 377 rows and 3 columns:<dl>
 <dt>gen</dt>
<dd>Character vector of genotype (cultivar) names</dd> <dt>env</dt>
<dd>Character vector of environment names</dd> <dt>yield</dt>
<dd>Numeric vector of yield of planting each cultivar in each
 environment</dd>
</dl>

Format

The example dataset — data_ex

A data frame with 377 rows and 3 columns:<dl>
 <dt>gen</dt>
<dd>Character vector of genotype (cultivar) names</dd>

 <dt>env</dt>
<dd>Character vector of environment names</dd>

 <dt>yield</dt>
<dd>Numeric vector of yield of planting each cultivar in each
 environment</dd>


</dl>

data_ex: The example dataset

Description

Usage

Arguments

Format