cropyield

Yield from Danish agricultural production of grain and root crop.

datasets

Utility package containing:
1) Facilities for working with grouped data: 'do' something to data
stratified 'by' some variables.
2) LSmeans (least-squares means), general linear estimates.
3) Restrict functions to a smaller domain.
4) Miscellaneous other utilities.

Søren Højsgaard

doBy

Groupwise Statistics, LSmeans, Linear Estimates, Utilities

Ulrich Halekoh

cropyield function

A dataframe with 97 rows and 7 columns.<dl>
<dt><code>year</code></dt>
<dd>From 1901 to 1997.</dd><dt><code>precip</code></dt>
<dd>Milimeter precipitation.</dd><dt><code>yield</code></dt>
<dd>Million feed units (see details).</dd><dt><code>area</code></dt>
<dd>Area in 1000 ha for grains and root crop.</dd><dt><code>fertil</code></dt>
<dd>1000 tons fertilizer.</dd><dt><code>avgtmp1</code></dt>
<dd>Average temperature April-June (3 months).</dd><dt><code>avgtmp2</code></dt>
<dd>Average temperature July-Octobre (4 months).</dd>
</dl>

Format

Yield from Danish agricultural production of grain and root crop. — cropyield

A dataframe with 97 rows and 7 columns.<dl>
<dt><code>year</code></dt>
<dd>From 1901 to 1997.</dd>

<dt><code>precip</code></dt>
<dd>Milimeter precipitation.</dd>

<dt><code>yield</code></dt>
<dd>Million feed units (see details).</dd>

<dt><code>area</code></dt>
<dd>Area in 1000 ha for grains and root crop.</dd>

<dt><code>fertil</code></dt>
<dd>1000 tons fertilizer.</dd>

<dt><code>avgtmp1</code></dt>
<dd>Average temperature April-June (3 months).</dd>

<dt><code>avgtmp2</code></dt>
<dd>Average temperature July-Octobre (4 months).</dd>


</dl>

cropyield: Yield from Danish agricultural production of grain and root crop.

Description

Usage

Arguments

Format

Details

References