NonCompart (version 0.7.0)

Slope: Get the Slope of regression log(y) ~ x

Description

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

Usage

Slope(x, y)

Value

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

Arguments

x

vector values of the independent variable, usually time

y

vector values of the dependent variable, usually concentration

Author

Kyun-Seop Bae <[e-mail]>

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.

See Also

BestSlope

Examples

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