plot.pt: Plot probabilities

In modal-inria/cfda: Categorical Functional Data Analysis

Plot probabilities

Description

Plot the probabilities of each state at each given time

Usage

## S3 method for class 'pt'
plot(x, col = NULL, ribbon = FALSE, ...)

Arguments

x	output of estimate_pt
col	a vector containing color for each state
ribbon	if TRUE, use ribbon to plot probabilities
...	only if ribbon = TRUE, parameter addBorder, if TRUE, add black border to the ribbons.

Value

a ggplot object that can be modified using ggplot2 package.

Author(s)

Quentin Grimonprez

See Also

estimate_pt

Other Descriptive statistics: boxplot.timeSpent(), compute_duration(), compute_number_jumps(), compute_time_spent(), estimate_pt(), hist.duration(), hist.njump(), plotData(), statetable(), summary_cfd()

Examples

# Simulate the Jukes-Cantor model of nucleotide replacement
K <- 4
PJK <- matrix(1 / 3, nrow = K, ncol = K) - diag(rep(1 / 3, K))
lambda_PJK <- c(1, 1, 1, 1)
d_JK <- generate_Markov(n = 10, K = K, P = PJK, lambda = lambda_PJK, Tmax = 10)

d_JK2 <- cut_data(d_JK, 10)

pt <- estimate_pt(d_JK2)

plot(pt, ribbon = TRUE)

modal-inria/cfda documentation built on Oct. 19, 2023, 10:03 a.m.