log_derivative_kernelreg | R Documentation |
Function to calculate the derivative of the drawdown with respect to the derivative of log time using kernel regression of the measured data.
log_derivative_kernelreg(t, s, bw = NULL, return.pos = T, log = T)
t |
Numeric vector with the time |
s |
Numeric vector with the drawdown |
bw |
bandwidth |
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. |
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
res: Kernel regression object
Oscar Garcia-Cabrejo khaors@gmail.com
Other log_derivative functions: log_derivative_bourdet
,
log_derivative_central
,
log_derivative_horner
,
log_derivative_locpol
,
log_derivative_lokern
,
log_derivative_lpridge
,
log_derivative_smoothspline
,
log_derivative_spane
,
log_derivative_spline
,
log_derivative
data(boulton)
t <- boulton$t
s <- boulton$s
ptest <- pumping_test('Well1', Q = 0.03, r = 20, t = t, s = s)
#
dptest.ks <- log_derivative_kernelreg(ptest$t, ptest$s)
plot(t,s,type="p",log="xy",ylim=c(1e-3,2))
lines(dptest.ks$x,dptest.ks$y,col="red")
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