The analysis of environmental data often requires
the detection of trends and change-points.
This package includes tests for trend detection
(Cox-Stuart Trend Test, Mann-Kendall Trend Test,
(correlated) Hirsch-Slack Test,
partial Mann-Kendall Trend Test, multivariate (multisite)
Mann-Kendall Trend Test, (Seasonal) Sen's slope,
partial Pearson and Spearman correlation trend test),
change-point detection (Lanzante's test procedures,
Pettitt's test, Buishand Range Test,
Buishand U Test, Standard Normal Homogeinity Test),
detection of non-randomness (Wallis-Moore Phase Frequency Test,
Bartels rank von Neumann's ratio test, Wald-Wolfowitz Test)
and the two sample Robust Rank-Order Distributional Test.

Non-Parametric Trend Tests and Change-Point Detection

package-ubuntu-20.04-r-4.0.5#cran#trend-1.1.4

<p>Plotting method for objects inheriting from class "cptest"
</p>

## S3 method for class 'cptest'
plot(x, ...)

<table summary="R argblock">
<tr valign="top">
<td><code>x</code></td>
<td>
<p>an object of class "cptest"</p>
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
<p>further arguments, currently ignored</p>
</td>
</tr>
</table>

data(Nile)
(out <- br.test(Nile))
par(mfrow=c(2,1))
plot(Nile) ; plot(out)

package-ubuntu-20.04-r-4.0.5#cran#trend-1.1.4#docs#plot.cptest

plot.cptest

Description

Usage

Arguments

Examples

trend

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`x`	an object of class "cptest"
`...`	further arguments, currently ignored