trendmap

The package calculates whether there is a statistically significant trend
in the date 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 create a
heatmap visualizing the trend.
Version 0.0.1.
Author: Dr. Matthew Cserhati
Email: csmatyi@protonmail.com
December 14, 2022

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

trendmap function

<dl><dt>data</dt>
<dd>a data frame with the measurement values</dd></dl>

Arguments

Calculates The Statistical Significance Of A Teend In A Set Of Measurements — trendmap

<dl>

<dt>data</dt>
<dd>a data frame with the measurement values</dd>

</dl>

trendmap: Calculates The Statistical Significance Of A Teend In A Set Of Measurements

Description

Value

Arguments

References

Examples