getrmse: getrmse calculates the rmse of the input 'invar' series

In MQMF: Modelling and Quantitative Methods in Fisheries

getrmse calculates the rmse of the input 'invar' series

Description

getrmse calculates the root mean square error (rmse) of the input invar series (defaults to 'cpue') against an input 'year' time series. This is primarily designed to generate an alternative estimate of the intrinsic variability of a cpue time-series to that which may be obtained from a cpue standardization

Usage

getrmse(indat, invar = "cpue", inyr = "year")

Arguments

indat	the matrix, spmdat, or data.frame containing both a 'year' column and an invar column (default to 'cpue')
invar	the column name of the variable whose rmse is wanted; defaults to 'cpue'
inyr	the column name that points to the 'year' name

Value

a list of the rmse and the loess predicted values of the invar for each year in the time-series

Examples

year <- 1986:1994
cpue <- c(1.2006,1.3547,1.0585,1.0846,0.9738,1.0437,0.7759,1.0532,1.284)
dat <- as.matrix(cbind(year,cpue))
getrmse(dat,invar="cpue")  # should be 0.08265127
getrmse(dat,invar="cpue")$rmse

MQMF documentation built on Sept. 8, 2023, 5:14 p.m.