log_derivative_smoothspline: log_derivative_smoothspline

In khaors/pumpingtest: R Package for the analysis and evaluation of pumping tests

log_derivative_smoothspline

Description

Function to calculate the derivative of the drawdown with respect to the derivative of log time fitting a smoothing spline to the measured data (Generalized Cross Validation),

Usage

log_derivative_smoothspline(t, s, return.pos = T, log = T)

Arguments

t	Numeric vector with the time
s	Numeric vector with the drawdown
return.pos	Logical flag to return only the positive values of the log-derivative (default = TRUE)
log	Logical flag to indicate that natural logarithm (a log to the base e) is used in the derivative calculation (default = TRUE). Logarithm to the base 10 is used if FALSE.

Value

A list with

• x: Numeric vector with the x coordinates where the log-derivative is evaluated

• y: Numeric vector with the value of the log-derivative

Author(s)

Oscar Garcia-Cabrejo [e-mail]

See Also

Other log_derivative functions: log_derivative_bourdet, log_derivative_central, log_derivative_horner, log_derivative_kernelreg, log_derivative_locpol, log_derivative_lokern, log_derivative_lpridge, log_derivative_spane, log_derivative_spline, log_derivative

Examples

data(boulton)
t <- boulton$t
s <- boulton$s
ptest <- pumping_test('Well1', Q = 0.03, r = 20, t = t, s = s)
#
dptest.sm <- log_derivative_smoothspline(ptest$t, ptest$s)
plot(t,s,type="p",log="xy",ylim=c(1e-3,2))
lines(dptest.sm$x,dptest.sm$y,col="red")

khaors/pumpingtest documentation built on June 10, 2025, 4:53 a.m.