Plot different features of an object created from simmr_mcmc.
This function allows for 4 different types of plots of the simmr output
created from simmr_mcmc. The types are: histogram, kernel
density plot, matrix plot (most useful) and boxplot. There are some minor
customisation options.
## S3 method for class 'simmr_output'
plot(
x,
type = c("isospace", "histogram", "density", "matrix", "boxplot"),
group = 1,
binwidth = 0.05,
alpha = 0.5,
title = if (length(group) == 1) { "simmr output plot" } else {
paste("simmr output plot: group", group) },
ggargs = NULL,
...
)x |
An object of class |
type |
The type of plot required. Can be one or more of 'histogram', 'density', 'matrix', or 'boxplot' |
group |
Which group(s) to plot. |
binwidth |
The width of the bins for the histogram. Defaults to 0.05 |
alpha |
The degree of transparency of the plots. Not relevant for matrix plots |
title |
The title of the plot. |
ggargs |
Extra arguments to be included in the ggplot (e.g. axis limits) |
... |
Currently not used |
The matrix plot should form a necessary part of any SIMM analysis since it allows the user to judge which sources are identifiable by the model. Further detail about these plots is provided in the vignette.
Andrew Parnell <andrew.parnell@mu.ie>
See simmr_mcmc for creating objects suitable for this
function, and many more examples. See also simmr_load for
creating simmr objects, plot.simmr_input for creating isospace
plots, summary.simmr_output for summarising output.
## Not run:
# A simple example with 10 observations, 2 tracers and 4 sources
# The data
data(geese_data)
# Load into simmr
simmr_1 <- with(
geese_data_day1,
simmr_load(
mixtures = mixtures,
source_names = source_names,
source_means = source_means,
source_sds = source_sds,
correction_means = correction_means,
correction_sds = correction_sds,
concentration_means = concentration_means
)
)
# Plot
plot(simmr_1)
# MCMC run
simmr_1_out <- simmr_mcmc(simmr_1)
# Plot
plot(simmr_1_out) # Creates all 4 plots
plot(simmr_1_out, type = "boxplot")
plot(simmr_1_out, type = "histogram")
plot(simmr_1_out, type = "density")
plot(simmr_1_out, type = "matrix")
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.