compute_number_jumps: Compute the number of jumps

In modal-inria/cfda: Categorical Functional Data Analysis

Compute the number of jumps

Description

For each individual, compute the number of jumps performed

Usage

compute_number_jumps(data, countDuplicated = FALSE)

Arguments

data	data.frame containing id, id of the trajectory, time, time at which a change occurs and state, associated state.
countDuplicated	if TRUE, jumps in the same state are counted as jump

Value

A vector containing the number of jumps for each individual

Author(s)

Cristian Preda, Quentin Grimonprez

See Also

hist.njump

Other Descriptive statistics: boxplot.timeSpent(), compute_duration(), compute_time_spent(), estimate_pt(), hist.duration(), hist.njump(), plot.pt(), 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)

# compute the number of jumps
nJump <- compute_number_jumps(d_JK)

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