prjv: Project a vector using a transition matrix.

In bjornbrooks/landat: R functions for calculating IT statistics

Description

Project a vector using a transition matrix.

Usage

prjv(m, v)

Arguments

m	A matrix of numeric values in the form of a two-way table of frequencies: Fr 40 38 37 ... To 89 89 87 ... 75 74 89 ... ... ... ... ... m can be constructed using xt.
v	A vector of numeric values with the same number of values as columns in m. v could be the initial distribution of frequencies m.

Details

prjv calculates the...

Value

Returns ...

Author(s)

Bjorn J. Brooks, Lars Y. Pomara, Danny C. Lee

References

PAPER TITLE.

Examples

data(transitions)                # Load example data
b <- brkpts(transitions$phenofr, # Find 10 probabilistically
            10)                  #  equivalent breakpoints
m <- xt(transitions,             # Make transition matrix
        fr.col=2, to.col=3,
        cnt.col=4, brk=b)
pxy <- jpmf(m)                   # Joint distribution
rmd <- rowSums(pxy)              # Row marginal distribution
cmd <- colSums(pxy)              # Column marginal distribution
r_c <- cpf(pxy,                  # Transition matrix
           margin='p(row|col)')  #  (row | col)
r_c.prj <- prjm(r_c,10^3)        # Project matrix 1,000 steps
seqv <- prjv(r_c.prj,cmd)        # Stable equilibrium vector

bjornbrooks/landat documentation built on May 17, 2019, 7:32 p.m.