Description Usage Arguments Value Author(s) See Also Examples
Function to calculate the derivative of drawdown wrt the log of time
1 2 | log_derivative(t, s, d = 2, method = "central", return.pos = T,
log = T)
|
t |
vector with time values |
s |
vector with drawdown values |
d |
Derivative parameter. if method equals to bourdet then d is equal to the number of adjacent values used in the derivative calculation. If method is equal to spline then d is equal to the number of knots used in the interpolation of the drawdown data. In this case a value of d=20 to d=30 is recommended. If method is equal to spane then d is equal to the number of points used in the linear regression approach. |
method |
Method to calculate the derivative (central, horner, bourdet and spline) |
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. |
This function returns a list with components named as x and y that contains the log_derivative y evaluated at specific points x.
Oscar Garcia-Cabrejo khaors@gmail.com
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_smoothspline
,
log_derivative_spane
,
log_derivative_spline
1 2 3 4 5 6 7 8 9 10 11 12 | # Load test data
data(theis)
# calculate derrivative of s wrt to logt using central differences
logd.central <- log_derivative(theis$t, theis$s)
# calculate derrivative of s wrt to logt using Horner method
logd.horner <- log_derivative(theis$t, theis$s, method = "horner")
# calculate derrivative of s wrt to logt using Bourdet method
logd.bourdet <- log_derivative(theis$t, theis$s, method = "bourdet")
# plot results
plot(logd.central$x, logd.central$y, type = "p")
points(logd.horner$x, logd.horner$y, col = "red")
points(logd.bourdet$x, logd.bourdet$y, col = "blue")
|
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