gsta_data

CRUTEM World Mean Temperature Data Set from 1851 to 2022

datasets

Detection of a statistically significant trend in the data provided by the user.
This is based on the a signed test based on the binomial distribution.
The package returns a trend test value, T, and also a p-value. A T value
close to 1 indicates a rising trend, whereas a T value close to -1 indicates a decreasing
trend. A T value close to 0 indicates no trend. There is also a command to visualize
the trend. A test data set called gtsa_data is also available, which has global mean
temperatures for January, April, July, and October for the years 1851 to 2022.
Reference: Walpole, Myers, Myers, Ye. (2007, ISBN: 0-13-187711-9).

Matthew Cserhati

binomialtrend

Calculates the Statistical Significance of a Trend in a Set of
Measurements

gsta_data function

<div class="section" id="gsta-data">
<h3><code>gsta_data</code></h3>
A data set with 172 rows and 4 columns, for Jan, Apr, Jul and Oct from 1851-2022<dl>
<dt>Jan</dt>
<dd>world mean temperature for January</dd><dt>Apr</dt>
<dd>world mean temperature for April</dd><dt>Jul</dt>
<dd>world mean temperature for July</dd><dt>Oct</dt>
<dd>world mean temperature for October</dd>
</dl></div>

Format

CRUTEM World Mean Temperature Data Set from 1851 to 2022 — gsta_data

<div class='section' id='gsta-data'>
<h3><code>gsta_data</code></h3>


A data set with 172 rows and 4 columns, for Jan, Apr, Jul and Oct from 1851-2022<dl>
<dt>Jan</dt>
<dd>world mean temperature for January</dd>

<dt>Apr</dt>
<dd>world mean temperature for April</dd>

<dt>Jul</dt>
<dd>world mean temperature for July</dd>

<dt>Oct</dt>
<dd>world mean temperature for October</dd>


</dl>

</div>

gsta_data: CRUTEM World Mean Temperature Data Set from 1851 to 2022

Description

Usage

Arguments

Format

`gsta_data`