calc.power: Power calcualtion function - determines the power of...
In jBernardADFG/LakeLouiseBurbotOP2020: Functions used in the 2020 Lake Louise OP

Description Usage Arguments Value Examples

View source: R/calcPower.R

Power calcualtion function – determines the power of concluding CPUE has increased from the "base" year

1	calc.power(ct_mat, ts_mat, mu_vec, sig_vec, alpha, n_mc = 100, quiet = T)

`ct_mat`	Count data from the "base" year
`mu_vec`	A numerical vector specifying the "true" mean CPUE
`sig_vec`	A numerical vector specifying the between transect log scale standard deviation
`alpha`	The prescribed level of accuracy
`n_mc`	The number of times to run the Monte Carlo simulation

Returns the power of concluding that the cpue has increased since 2005. The rows of the matrix coorespond to the entries in mu_vec while the columns coorespond to entries in sig_vec.

ct_mat <- get.ct.mat("S:/Jordy/louiseOP2020/Data/CPUE.xls", "CPUEL")
ct_mat <- ct_mat[,-11]
ts_mat <- pick.coords(lakelines, n_max)$ts_mat
mu_vec <- seq(0.1, 1, by=.1)
sig_vec <- c(0.05, 0.35, 0.85)
alpha <- 0.10
calc.power(ct_mat, ts_mat, mu_vec, sig_vec, alpha)