Function reference • wqtrends

Analyze

anlz_avgseason(): Extract period (seasonal) averages from fitted GAM

anlz_backtrans(): Back-transform response variable

anlz_fit(): Return summary statistics for GAM fits

anlz_gam(): Fit a generalized additive model to a water quality time series

anlz_metseason(): Extract period (seasonal) metrics from fitted GAM

anlz_mixmeta(): Fit a mixed meta-analysis regression model of trends

anlz_perchg(): Estimate percent change trends from GAM results for selected time periods

anlz_prd(): Get predicted data from fitted GAMs across period of observation

anlz_prdday(): Get predicted data from fitted GAMs across period of observation, every day

anlz_prdmatrix(): Get prediction matrix for a fitted GAM

anlz_pvalformat(): Format p-values for show functions

anlz_smooth(): Return summary statistics for smoothers of GAMs

anlz_sumtrndseason(): Estimate seasonal rates of change based on average estimates for multiple window widths

anlz_trans(): Transform response variable

anlz_trndseason(): Estimate rates of change based on seasonal metrics

Visualize

show_metseason(): Plot period (seasonal) averages from fitted GAM

show_mettrndseason(): Plot seasonal metrics and rates of change

show_perchg(): Plot percent change trends from GAM results for selected time periods

show_prd3d(): Plot a 3-d surface of predictions

show_prddoy(): Plot predictions for GAMs against day of year

show_prdseason(): Plot predictions for GAMs over time, by season

show_prdseries(): Plot predictions for GAMs over time series

show_sumtrndseason(): Plot seasonal rates of change based on average estimates for multiple window widths

show_sumtrndseason2(): Plot seasonal rates of change in quarters based on average estimates for multiple window widths

show_trndseason(): Plot rates of change based on seasonal metrics

Other

Other functions not defined by the concepts above

rawdat: Raw data from San Francisco Estuary (South Bay)