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

In NonCompart: Noncompartmental Analysis for Pharmacokinetic Data

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 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.

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

Author(s)

Kyun-Seop Bae <[e-mail]>

See Also

BestSlope

Examples

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

NonCompart documentation built on Nov. 15, 2023, 9:06 a.m.