be_visual: be_visual

In jkennel/waterlevel: Well Water Level Analysis Tools

Description

Generate dataset for comparing barometric efficiency

Usage

be_visual(dat, dep = "wl", ind = "baro", time = "datetime",
  be_tests = seq(0, 1, 0.1), inverse = TRUE, subsample = TRUE)

Arguments

dat	data that has the independent and dependent variables (data.table)
dep	name of the dependent variable column (character). This is typically the name for the column holding your water level data.
ind	name of the independent variable column (character). This is typically the name for the column holding your barometric pressure data.
time	name of the column containing the time (character)
be_tests	vector of barometric efficiencies to test (between 0 and 1) (numeric)
inverse	whether the barometric relationship is inverse (TRUE means that when the barometric pressure goes up the measured water level goes down (vented transducer, depth to water), FALSE means that when the barometric pressure goes up so does the measured pressure (non-vented transducer)) (logical).
subsample	should the data be subsampled for plotting? (logical)

Value

data.table of barometric efficiency compensated datasets

References

Smith, L. A., van der Kamp, G., & Hendry, M. J. (2013). A new technique for obtaining high‐resolution pore pressure records in thick claystone aquitards and its use to determine in situ compressibility. Water Resources Research, 49(2), 732-743. doi: https://doi.org/10.1002/wrcr.20084

Examples

library(data.table)
be <- 0.43
x <- seq(0, 28*pi, pi / (12*12))

baro <- sin(x) + rnorm(length(x), sd = 0.04)
wl <- -sin(x) * be + rnorm(length(x), sd = 0.04)
dat <- data.table(datetime = as.POSIXct(x * 86400 / (2 * pi),
                                        origin = '1970-01-01', tz = 'UTC'),
                  wl = wl, baro = baro)
be_visual(dat)

jkennel/waterlevel documentation built on Dec. 1, 2019, 6:24 p.m.