Create a plot of data for a single year overlaid on historical data.

A line for a single year is plotted over ribbons ofquantiles for historical data.

Usage

plot_quants(swmpr_in, ...)

# S3 method for class 'swmpr'
plot_quants(
  swmpr_in,
  paramtoplot,
  yr,
  yrstart,
  yrend,
  yaxislab = NULL,
  yrcolor = "red3",
  bgcolor1 = "lightgray",
  bgcolor2 = "gray65",
  maintitle = NULL,
  ...
)

Arguments

swmpr_in

input swmpr object.

...

additional arguments passed to or from other methods

paramtoplot

chr string of parameter to plot

yr

numeric of year to feature as a line on the plot

yrstart

numeric of year to begin range of comparison data

yrend

numeric of year to end range of comparison data

yaxislab

chr string for y-axis albel. Default is paramtoplot.

yrcolor

chr string of line color for year of interest

bgcolor1

chr string of color for outer 50% of data range

bgcolor2

chr string of color for middle 50% of data range.

maintitle

chr string of plot title. Default pastes together site name, parameter name, year to feature, and range of years to use for comparison, e.g. 'GNDBHWQ 2017 Daily Average Temp overlaid on 2006-2016 daily averages'.

Value

A a ggplot2 object.

Details

The plot is based on aggregates of daily average values for the entire time series. Quantiles (min, 25%, 75%, max) for each individual calendar day (01/01, 01/02, ... 12/31) are used to generate a ribbon plot of historical data and the selected year in yr is plotted as a line over the ribbon for historical context.

required packages: dplyr, lubridate, ggplot2, tibble

Author

Kimberly Cressman, Marcus Beck

Examples

# qaqc
dat <- qaqc(apacpwq)

# generate a plot of salinity for 2013 overlaid on 2012-2013 data
plot_quants(dat, 'sal', yr = 2013, yrstart = 2012, yrend = 2013)


# change some of the defaults
plot_quants(dat, 'sal', yr = 2013, yrstart = 2012, yrend = 2013, 
 bgcolor1 = 'lightsteelblue2', bgcolor2 = 'lightsteelblue4', 
 yaxislab = 'Salinity (psu)')