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It calculates the slope with linear regression of log(y) ~ x
Slope(x, y)
R-squared
adjusted R-squared
number of points used for slope
negative of the slope, lambda_z
intercept of the regression line
correlation of log(y) and x
earliest x for lambda_z
last x for lambda_z
vector values of the independent variable, usually time
vector values of the dependent variable, usually concentration
Kyun-Seop Bae <k@acr.kr>
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.
BestSlope
Slope(Indometh[Indometh$Subject==1, "time"], Indometh[Indometh$Subject==1, "conc"])
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