View source: R/dispRity.wrapper.R
dispRity.through.time | R Documentation |
Performs a disparity through time analysis.
dispRity.through.time(data, tree, time, metric = c(median, centroids), ...)
data |
An ordinated |
tree |
A |
time |
A |
metric |
A vector containing one to three functions (default = |
... |
Optional arguments to be passed to |
By default the time subsets use method = "discrete"
, the matrix is bootstrapped 100 times.
Note that this is a wrapper function that allows users to run a basic disparity-through-time analysis without too much effort.
As such it has a lot of defaults described in the functions that make up the analysis.
See chrono.subsets
, boot.matrix
, dispRity.metric
, summary.dispRity
, plot.dispRity
for more details of the defaults used in each of these functions.
Note that any of these defaults can be changed within the disparity.through.time
function.
A dispRity
object that can be passed to summary
or plot
.
Thomas Guillerme
chrono.subsets
, boot.matrix
, dispRity.metric
, summary.dispRity
, plot.dispRity
.
## Load the Beck & Lee 2014 data
data(BeckLee_mat50) ; data(BeckLee_tree)
## Run a simple disparity through time analysis (with three time bins)
result <- dispRity.through.time(BeckLee_mat50, BeckLee_tree, 3)
summary(result) ; plot(result)
## This is equivalent to run the following decomposed code
dispRity(boot.matrix(chrono.subsets(BeckLee_mat50, BeckLee_tree, time = 3, method = "discrete"),
bootstraps = 100),
metric = c(median, centroids))
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