library(dplyr) library(fluxr) library(lubridate) library(ggplot2) library(scales) library(gridExtra) theme_set(theme_bw()) data(williamson) williamson <- filter(williamson, as.Date(DATE) >= as.Date("2000-10-01"), as.Date(DATE) <= as.Date("2012-09-30"))
loads <- flux_regression(williamson, interp=TRUE)
plot_flux_summary(loads, site='Williamson', variable='TP')
plot_flux_monthly(loads, site='Williamson', variable='TP')
plot_flux_residuals(loads, site='Williamson', variable='TP')
loads_2002_2012 <- flux_regression(williamson, interp=TRUE, predict_wyear_range = c(2002, 2012)) plot_flux_summary(loads_2002_2012, site='Williamson', variable='TP') plot_flux_monthly(loads_2002_2012, site='Williamson', variable='TP') plot_flux_residuals(loads_2002_2012, site='Williamson', variable='TP')
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