fitplot: Plot the fitted results for a tidal object

In WRTDStidal: Weighted Regression for Water Quality Evaluation in Tidal Waters

Plot the fitted results for a tidal object

Description

Plot a tidal object to view response variable observations, predictions, and normalized results.

Usage

fitplot(dat_in, ...)

## S3 method for class 'tidal'
fitplot(
  dat_in,
  tau = NULL,
  predicted = TRUE,
  annuals = TRUE,
  logspace = TRUE,
  dt_rng = NULL,
  col_vec = NULL,
  grids = TRUE,
  min_mo = 9,
  mo_strt = 10,
  pretty = TRUE,
  lwd = 1,
  size = 2,
  alpha = 1,
  ...
)

## S3 method for class 'tidalmean'
fitplot(
  dat_in,
  predicted = TRUE,
  annuals = TRUE,
  logspace = TRUE,
  dt_rng = NULL,
  col_vec = NULL,
  grids = TRUE,
  min_mo = 9,
  mo_strt = 10,
  pretty = TRUE,
  lwd = 1,
  size = 2,
  alpha = 1,
  ...
)

Arguments

dat_in	input tidal or tidalmean object
...	arguments passed to other methods
tau	numeric vector of quantiles to plot, defaults to all in object if not supplied
predicted	logical indicating if standard predicted values are plotted, default TRUE, otherwise normalized predictions are plotted
annuals	logical indicating if plots are annual aggregations of results
logspace	logical indicating if plots are in log space
dt_rng	Optional chr string indicating the date range of the plot. Must be two values in the format 'YYYY-mm-dd' which is passed to as.Date.
col_vec	chr string of plot colors to use, passed to gradcols. Any color palette from RColorBrewer can be used as a named input. Palettes from grDevices must be supplied as the returned string of colors for each palette.
grids	logical indicating if grid lines are present
min_mo	numeric value from one to twelve indicating the minimum number of months with observations for averaging by years, applies only if annuals = TRUE. See annual_agg.
mo_strt	numeric indicating month to start aggregation years, defaults to October for USGS water year from October to September, applies only if annuals = TRUE. See annual_agg.
pretty	logical indicating if my subjective idea of plot aesthetics is applied, otherwise the ggplot default themes are used
lwd	numeric value indicating width of lines
size	numeric value indicating size of points
alpha	numeric value indicating transparency of points or lines

Value

A ggplot object that can be further modified

See Also

fitmoplot, prdnrmplot, sliceplot

Examples

## load a fitted tidal object
data(tidfit)

# plot using defaults
fitplot(tidfit)

# get the same plot but use default ggplot settings
fitplot(tidfit, pretty = FALSE)

# plot in log space
fitplot(tidfit, logspace = TRUE)

# plot specific quantiles
fitplot(tidfit, tau = c(0.1, 0.9))

# plot the normalized predictions
fitplot(tidfit, predicted = FALSE)

# plot as monthly values
fitplot(tidfit, annuals = FALSE) 

# format the x-axis is using annual aggregations
library(ggplot2)

fitplot(tidfit, annual = TRUE) + 
 scale_x_date(limits = as.Date(c('2000-01-01', '2012-01-01')))

# modify the plot as needed using ggplot scales, etc.

fitplot(tidfit, pretty = FALSE, linetype = 'dashed') + 
 theme_classic() + 
 scale_y_continuous(
   'Chlorophyll', 
   limits = c(0, 50)
   ) +
 scale_colour_manual( 
   'Predictions', 
   labels = c('lo', 'md', 'hi'), 
   values = c('red', 'green', 'blue'), 
   guide = guide_legend(reverse = TRUE)
   ) 
 
# plot a tidalmean object
data(tidfitmean)

fitplot(tidfitmean)  

WRTDStidal documentation built on Oct. 20, 2023, 5:08 p.m.