tsboxplot

Produce box-and-whisker plot of a given univariate time series.

Fundamental time series forecasting models such as autoregressive integrated moving average (ARIMA), exponential smoothing, and simple moving average are included. For ARIMA models, the output follows the traditional parameterisation by Box and Jenkins (1970, ISBN: 0816210942, 9780816210947). Furthermore, there are functions for detailed time series exploration and decomposition, respectively. All data and result visualisations are generated by 'ggplot2' instead of conventional R graphical output. For more details regarding the theoretical background of the models see Hyndman, R.J. and Athanasopoulos, G. (2021) <https://otexts.com/fpp3/>.

Ka Karl Wu

tsforecast

Time Series Forecasting Functions

Ka Yui Karl Wu

tsboxplot function

<dl><dt>x</dt>
<dd>a univariate time series object or a numeric vector or matrix.</dd>
<dt>title</dt>
<dd>title of the box plot</dd>
<dt>x.name</dt>
<dd>name of the series. If omitted here, the series name found by <code>tsname()</code> will be taken over here. If <code>tsname()</code> is <code>NULL</code>, the variable name will be used instead. Default is <code>NULL</code>.</dd>
<dt>x.col</dt>
<dd>line colour of the box plot.</dd>
<dt>mean.col</dt>
<dd>colour of the dot indicating the series mean.</dd></dl>

Arguments

Author

Box Plots — tsboxplot

<dl>

<dt>x</dt>
<dd>a univariate time series object or a numeric vector or matrix.</dd>


<dt>title</dt>
<dd>title of the box plot</dd>


<dt>x.name</dt>
<dd>name of the series. If omitted here, the series name found by <code>tsname()</code> will be taken over here. If <code>tsname()</code> is <code>NULL</code>, the variable name will be used instead. Default is <code>NULL</code>.</dd>


<dt>x.col</dt>
<dd>line colour of the box plot.</dd>


<dt>mean.col</dt>
<dd>colour of the dot indicating the series mean.</dd>

</dl>

tsboxplot: Box Plots

Description

Usage

Value

Arguments

Author

Details

References

Examples