event_timeseries_precip: event_timeseries_precip

In LimnoTech/SWMPrStorm: Organizing, and Analyzing Estuary Monitoring Data for Storm Events

event_timeseries_precip

Description

event_timeseries_precip

Usage

event_timeseries_precip(
  var_in,
  data_path,
  reserve = NULL,
  storm_start = NULL,
  storm_end = NULL,
  stn_met = NULL,
  keep_flags = NULL,
  flip = FALSE,
  skip = NULL,
  user_units = NULL
)

Arguments

var_in	.xlsx with all required input variables defined (string).
data_path	pathway to cdmo data folder (string).
reserve	3 digit reserve code (string).
storm_start	YYYY-MM-DD HH:MM:SS start of storm event (string).
storm_end	YYYY-MM-DD HH:MM:SS end of storm event (string).
stn_met	comma separated list of data quality flags that should be kept (string).
keep_flags	comma separated list of data quality flags that should be kept (string).
flip	TRUE/FALSE. If TRUE, the plot axes will flip.
skip	TRUE/FALSE. If TRUE, function will be skipped (string).
user_units	User defined units. Set to "English" or "SI". Default CDMO data is in SI units. Not all parameters have common equivalent English units (e.g. concentrations), and therefore not all will be converted.

Value

plots are generated and saved in /output/met/barplot/

Examples

## Not run: 
#StormVariables.xlsx is a template variable input file saved in data/
vars_in <- 'data/StormTrackVariables.xlsx'
single_storm_track(var_in = vars_in)

## End(Not run)

LimnoTech/SWMPrStorm documentation built on June 14, 2022, 6:27 p.m.