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R
Boom

timeseries.boxplot

Time Series Boxplots

Description

Creates a series of boxplots showing the evolution of a distribution over time.

Usage

TimeSeriesBoxplot(x, time, ylim = NULL, add = FALSE, ...)

Arguments

x

A matrix where each row represents a curve (e.g. a simulation of a time series from a posterior distribution) and columns represent time. A long time series would be a wide matrix.

time

A vector of class Date with lenght matching the number of columns in x.
ylim

limits for the y axis.
add

logical, if TRUE then add boxplots to current plot.
...

Extra arguments to pass on to boxplot

Value

Called for its side effect, which is to produce a plot on the current graphics device.

Author(s)

Examples

x <- t(matrix(rnorm(1000 * 100, 1:100, 1:100), nrow=100))
  ## x has 1000 rows, and 100 columns.  Column i is N(i, i^2) noise.
  time <- as.Date("2010-01-01", format = "%Y-%m-%d") + (0:99 - 50)*7
  TimeSeriesBoxplot(x, time)
Boom

Bayesian Object Oriented Modeling

v0.9.7
LGPL-2.1 | file LICENSE
Authors
Steven L. Scott is the sole author and creator of the BOOM project. Some code in the BOOM libraries has been modified from other open source projects. These include Cephes (obtained from Netlib, written by Stephen L. Moshier), NEWUOA (M.J.D Powell, obtained from Powell's web site), and a modified version of the R math libraries (R core development team). Original copyright notices have been maintained in all source files. In these cases, copyright claimed by Steven L. Scott is limited to modifications made to the original code. Google claims copyright for code written while Steven L. Scott was employed at Google from 2008 - 2018, but BOOM is not an officially supported Google project.
Initial release
2021-02-15

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