Get the Slope of regression log(y) ~ x
It calculates the slope with linear regression of log(y) ~ x
Slope(x, y)
x |
vector values of independent variable, usually time |
y |
vector values of dependent variable, usually concentration |
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.
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 |
Kyun-Seop Bae <k@acr.kr>
Slope(Indometh[Indometh$Subject==1, "time"], Indometh[Indometh$Subject==1, "conc"])
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