Slope function

Get the Slope of regression log(y) ~ x

It calculates the slope with linear regression of log(y) ~ x

Slope(x, y)

Arguments

• x: vector values of the independent variable, usually time
• y: vector values of the dependent variable, usually concentration

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.

Returns

• R2: R-squared

• R2ADJ: adjusted R-squared

• LAMZNPT: number of points used for slope

• LAMZ: negative of the slope, lambda_z

• b0: intercept of the regression line

• CORRXY: correlation of log(y) and x

• LAMZLL: earliest x for lambda_z

• LAMZUL: last x for lambda_z

Author(s)

Kyun-Seop Bae k@acr.kr

See Also

BestSlope

Examples

Slope(Indometh[Indometh$Subject==1, "time"], Indometh[Indometh$Subject==1, "conc"])