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

Description

Plot seasonal rates of change in quarters based on average estimates for multiple window widths

Usage

show_sumtrndseason2(
  mod,
  yromit = NULL,
  justify = c("center", "left", "right"),
  win = 5:15,
  txtsz = 6,
  cols = c("lightblue", "lightgreen"),
  base_size = 11
)

Value

A ggplot2 plot

Arguments

mod: input model object as returned by anlz_gam
yromit: optional numeric vector for years to omit from the plot, see details
justify: chr string indicating the justification for the trend window
win: numeric vector indicating number of years to use for the trend window
txtsz: numeric for size of text labels inside the plot
cols: vector of low/high colors for trends
base_size: numeric indicating base font size, passed to theme_bw

Details

This function is similar to show_sumtrndseason but results are grouped into seasonal quarters as four separate plots with a combined color scale.

The optional yromit vector can be used to omit years from the plot and trend assessment. This may be preferred if seasonal estimates for a given year have very wide confidence intervals likely due to limited data, which can skew the trend assessments.

Examples

Run this code

library(dplyr)

# data to model
tomod <- rawdat %>%
  filter(station %in% 34) %>%
  filter(param %in% 'chl') %>% 
  filter(yr > 2015)

mod <- anlz_gam(tomod, trans = 'log10')
show_sumtrndseason2(mod, justify = 'center', win = 2:3)