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

In pkr: Pharmacokinetics in R

Get the Slope of regression log(y) ~ x

Description

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

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.

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

Author(s)

Kyun-Seop Bae <[e-mail]>

See Also

BestSlope

Examples

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

pkr documentation built on June 11, 2022, 9:05 a.m.