be_least_squares_diff: be_least_squares_diff

In jkennel/waterlevel: Well Water Level Analysis Tools

Description

Calculate the barometric efficiency by using the least squares with differences

Usage

be_least_squares_diff(dat, dep = "wl", ind = "baro", lag_space = 1,
  inverse = TRUE, return_model = FALSE)

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.
lag_space	space between difference calculation in number of observations
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).
return_model	whether to return the lm model or just the barometric/loading efficiency (logical).#'

Value

barometric efficiency calculated by least squares

Examples

library(data.table)
datetime <- seq.POSIXt(as.POSIXct("2016-01-01 12:00:00"),
                       as.POSIXct("2016-01-05 12:00:00"), by='hour' )
baro <- sin(seq(0, 2*pi, length.out = length(datetime)))
wl <- -0.4 * baro
dat <- data.table(baro, wl, datetime)
be_least_squares_diff(dat, lag_space = 1)

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