An R6 class for holding TOXSWA water concentration (cwa) data and some associated statistics. Usually, an instance of this class will be generated by read.TOXSWA_cwa.

TOXSWA_cwa

Format

An R6Class generator object.

Fields

filename

Length one character vector.

basedir

Length one character vector.

segment

Length one integer, specifying for which segment the cwa data were read.

cwas

Dataframe holding the concentrations.

events

List of dataframes holding the event statistics for each threshold.

windows

Matrix of maximum time weighted average concentrations (TWAC_max) and areas under the curve in µg/day * h (AUC_max_h) or µg/day * d (AUC_max_d) for the requested moving window sizes in days.

Methods

get_events(threshold, total = FALSE)

Populate a datataframe with event information for the specified threshold value in µg/L. If total = TRUE, the total concentration including the amount adsorbed to suspended matter will be used. The resulting dataframe is stored in the events field of the object.

moving_windows(windows, total = FALSE)

Add to the windows field described above. Again, if total = TRUE, the total concentration including the amount adsorbed to suspended matter will be used.

Examples

H_sw_R1_stream <- read.TOXSWA_cwa("00003s_pa.cwa", basedir = "SwashProjects/project_H_sw/TOXSWA", zipfile = system.file("testdata/SwashProjects.zip", package = "pfm")) H_sw_R1_stream$get_events(c(2, 10)) H_sw_R1_stream$moving_windows(c(7, 21)) print(H_sw_R1_stream)
#> <TOXSWA_cwa> data from file 00003s_pa.cwa segment 20 #> datetime t t_firstjan t_rel_to_max cwa_mug_per_L #> 20 1978-10-01 00:00:00 0.000 273.0000 -55.333 0 #> 40 1978-10-01 01:00:00 0.042 273.0417 -55.291 0 #> 60 1978-10-01 02:00:00 0.083 273.0833 -55.250 0 #> 80 1978-10-01 03:00:00 0.125 273.1250 -55.208 0 #> 100 1978-10-01 04:00:00 0.167 273.1667 -55.166 0 #> 120 1978-10-01 05:00:00 0.208 273.2083 -55.125 0 #> cwa_tot_mug_per_L #> 20 0 #> 40 0 #> 60 0 #> 80 0 #> 100 0 #> 120 0 #> Moving window analysis #> window max_TWAC max_AUC_h max_AUC_d #> 1 7 days 2.3926551 401.9660 16.74859 #> 2 21 days 0.8369248 421.8101 17.57542 #> Event statistics for threshold 2 #> t_start cwa_max duration pre_interval AUC_h AUC_d #> 1 44.375 4.167238 0.208 44.375 17.77202 0.740501 #> 2 55.042 40.584010 0.583 10.459 398.21189 16.592162 #> Event statistics for threshold 10 #> t_start cwa_max duration pre_interval AUC_h AUC_d #> 1 55.083 40.58401 0.459 55.083 379.433 15.80971