It calculates the slope with linear regression of log(y) ~ x
Usage
Slope(x, y)
Arguments
x
vector values of independent variable, usually time
y
vector values of dependent variable, usually concentration
Value
R2
R-squared
R2ADJ
adjusted R-squared
LAMZNPT
number of points used for slope
LAMZ
negative of
slope, lambda_z
b0
intercept of regression line
CORRXY
correlation of log(y) and x
LAMZLL
earliest x for
lambda_z
LAMZUL
last x for lambda_z
CLSTP
predicted y value
at last point, predicted concentration for the last time point
Details
With time-concentration curve, you frequently need to estimate slope in
log(concentration) ~ time. This function is usually called by
BestSlope function and you seldom need to call this function
directly.