annual_range {SWMPrExtension} | R Documentation |
Annual Range Timeseries
Description
Assess variability within each season for a single year
Usage
annual_range(swmpr_in, ...)
## S3 method for class 'swmpr'
annual_range(
swmpr_in,
param = NULL,
target_yr = NULL,
criteria = NULL,
free_y = FALSE,
log_trans = FALSE,
converted = FALSE,
criteria_lab = "WQ Threshold",
plot_title = FALSE,
plot = TRUE,
...
)
Arguments
swmpr_in |
input swmpr object |
... |
additional arguments passed to other methods. See |
param |
chr string of variable to plot |
target_yr |
numeric, the target year that should be compared against the historic range. If target year is not specified then the dot will not be plotted. |
criteria |
numeric, a numeric criteria that will be plotted as a horizontal line |
free_y |
logical, should the y-axis be free? Defaults to |
log_trans |
logical, should y-axis be log? Defaults to |
converted |
logical, were the units converted from the original units used by CDMO? Defaults to |
criteria_lab |
chr, label for the threshold criteria defined in |
plot_title |
logical, should the station name be included as the plot title? Defaults to |
plot |
logical, should a plot be returned? Defaults to |
Details
This function summarizes average daily values, average daily minimums/maximums, and absolute minimums/maximums across user-defined seasons for a target year (target_yr
).
The user also has the option to add a threshold hold line using the criteria
argument. Typically, this value is a water quality threshold, which is why criteria_lab
defaults to 'WQ Threshold'
. However, the user has the option to specify any other type of threshold they wish. when doing so, the value for criteria_lab
should be changed accordingly.
Value
Returns a ggplot
object
Author(s)
Julie Padilla
See Also
ggplot
, assign_season
, y_labeler
Examples
## get data, prep
data(elksmwq)
dat <- elksmwq
dat <- qaqc(elksmwq, qaqc_keep = c('0', '3', '5'))
do_plt <- annual_range(dat, param = 'do_mgl', target_yr = 2012)
do_plt <- annual_range(dat, param = 'do_mgl', target_yr = 2012, criteria = 2)