vis.post.distribution: Histogram of posterior distribution

In ANTs: Animal Network Toolkit Software

Histogram of posterior distribution

Description

Create histogram of posterior distribution and compute posterior distribution statistics (p-values and confidence interval).

Usage

vis.post.distribution(
  x,
  quantile = c(0.05, 0.95),
  backgroud.color = "gray63",
  observe.value.color = "white",
  ci.lower.color = "white",
  ci.upper.color = "white",
  xlab = NULL,
  main = NULL,
  legend = TRUE,
  legend.position = "topright",
  record = TRUE
)

Arguments

x	A numeric vector with the first value corresponding to the observed value.
quantile	a numeric vector of length 2 to indicate the lower and upper confidence interval.
backgroud.color	A specification for the default histogram background color.
observe.value.color	A specification for the default abline line color of the observed value.
ci.lower.color	A specification for the default abline line color of the lower confidence interval.
ci.upper.color	A specification for the default abline line color of the lower confidence interval.
xlab	A string for x axis label.
main	A string for histogram main title.
legend	A bolean to print or not the legend
legend.position	The x co-ordinates to be used to position the legend. They can be specified by keyword or in any way which is accepted by xy.coords:
record	A bolean indicating to return or not the histogram in a R object.

Value

an histogram of posterior distribution.

Examples

t=met.strength(sim.m,sim.df,1) # Computing network metric
t=perm.net.nl(t,labels='age',rf=NULL,nperm=1000,progress=FALSE) # Node label permutations
r.c=stat.cor(t,'age','strength',progress=FALSE) # Permuted correlation test
vis.post.distribution(r.c[,1])# Histogram of posterior distribution

ANTs documentation built on July 3, 2022, 1:05 a.m.