Boom: compare.many.ts – R documentation

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compare.many.ts

Compares several density estimates.

Description

Produce a plot that compares the kernel density estimates for each element in a series of Monte Carlo draws of a vector or matrix.

Usage

CompareManyTs(list.of.ts, burn = 0, type = "l", gap = 0,
              boxes = TRUE, thin = 1, labels = NULL,
              same.scale = TRUE, ylim = NULL, refline = NULL,
              color = NULL, ...)

Arguments

`list.of.ts`	A list of time series matrices, data.frames or 3-dimensional arrays, all of the same size. The list elements correspond to groups. The first index of the array in each list element corresponds to time. The subsequent indices correspond to variables to be plotted.
`burn`	The number of initial observations to be discarded as burn-in (when plotting MCMC output).
`type`	The plotting type to use when plotting the time series. See `plot`.
`gap`	The amount of space to put between plots.
`boxes`	Logical. Should boxes be drawn around the plots?
`thin`	Plot every thin'th observation. This can reduce the amount of time it takes to make the plot if there are many long time series.
`labels`	A character vector to use as labels for individual plots.
`same.scale`	Logical. If TRUE then all plots are shown on the same verical scale, and vertical axes are drawn. If FALSE then each plot gets its own scale.
`ylim`	The scale of the vertical axis. If non-NULL then same.scale will be set to TRUE.
`refline`	The scalar value at which a thin dotted horizontal line should be plotted in each panel. This is useful for highlighting zero, for example.
`color`	A vector of colors to use for the plots.
`...`	Extra arguments passed to 'plot' and 'axis'.

Author(s)

Steven L. Scott

Examples

x <- array(rnorm(9000), dim = c(1000, 3, 3))
dimnames(x) <- list(NULL, c("Larry", "Moe", "Curly"), c("Larry", "Eric", "Sergey"))
y <- array(rnorm(9000), dim = c(1000, 3, 3))
z <- array(rnorm(9000), dim = c(1000, 3, 3))
data <- list(x = x, y = y, z = z)
CompareManyTs(data, color = c("red", "blue", "green"))

x <- matrix(rnorm(5000), nrow = 1000)
colnames(x) <- c("Larry", "Moe", "Curly", "Shemp", "???")
y <- matrix(rnorm(5000), nrow = 1000)
z <- matrix(rnorm(5000), nrow = 1000)
data <- list(x = x, y = y, z = z)
CompareManyTs(data, color = c("red", "blue", "green"))

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