plot_sensitivity: Plot bias, precision, and accuracy of metrics
In WDNR-Water-Use/CSLSlevels: CSLS Lake Level Analysis

Creates a facet plot with lakes faceted horizontally and error estimates faceted vertically.

plot_sensitivity(
  df,
  metric_name,
  variable_title = "",
  variable_breaks = "sort",
  variable_labels,
  variable_colors = NULL,
  text_size = 12,
  vline = 38,
  hlines = NULL,
  metric_title = ""
)

`df`	data frame with the following columns: lakename of lake, e.g., Pleasant, Long, Plainfield, Devils metricname of hydrologic metrics, e.g. median_level, cv_rise_rate variablename of variation on metrics, e.g. 10 for 10% exceedance level nyearnumber of years used to calculate metric fittype of fit measurement, PBIAS, CV, or RMSE valuevalue of fit measurement
`metric_name`	name of metric to display on this plot
`variable_title`	string to use for color legend, defaults to "" for no title
`variable_breaks`	vector with values to use for variable breaks in color legend. Defaults to "sort" to convert unique options in "variable" column to numeric values and sort in ascending order.
`variable_labels`	vector with strings to use for variable labels in color legend. Defaults to "breaks" to indicate use same values as breaks. Can also be "percent" to add a percent symbol to values in variable_breaks.
`variable_colors`	vector with hex codes of colors corresponding to variable_breaks and variable_lables.
`text_size`	size of text on plots. Defaults to 12.
`vline`	optional value at which to draw a dashed vertical line. Defaults to 38 (i.e., nyears from 1981-2018), but can be set to NULL for no line.
`hlines`	optional data frame with values to draw horizontal lines for PBIS, CV, and RMSE. Defaults to NULL for no line.
`metric_title`	string to use for plot title, defaults to "" for no title