calcLRs.RbyI: Calculate linear regressions between recruitment and index...

In wStockhausen/wtsDisMELSConn: Functions for dealing with DisMELS IBM model output, including calculating and analyzing connectivity matrices

Description

Function to calculate linear regressions between recruitment and index time series

Usage

calcLRs.RbyI(mdfrZR, mdfrI, ylab, vars, nrows = 2, labelByGroup = FALSE)

Arguments

mdfrZR	- melted dataframe with standardized recruitment time series
mdfrI	- melted dataframe with raw index time series
ylab	- label for y axis in time series plot of raw time series
vars	- subset of index time series to include in linear regresssion analysis
nrows	- number of rows for LR plots
labelByGroup	- flag to use "group" column to organize linear regression analysis

Details

none.

Value

list with elements

• mdfrZIs - dataframe with z-scores for index time series

• lms - list with linear model (lm) results by index

• summary - dataframe with summaries of linear model results

• plots - list of ggplot2 objects (raw time series, standardized time series, fits to lm's)

wStockhausen/wtsDisMELSConn documentation built on May 3, 2019, 7:36 p.m.