Plot best fit slope

Automatically select best fit slope for the given x(usually time) and log(y)(usually concentration) values.

plotFit(concData, id, Time, conc, mol = "", adm = "Extravascular", ID = "", Mol = "")

Arguments

concData	name of data table containing time-concentration data of multiple subjects
id	column name for subject ID
Time	column name for the time
conc	column name for the concentration
mol	column name for molecular species
adm	one of "Bolus" or "Infusion" or "Extravascular" to indicate drug administration mode
ID	Subject ID for this plot
Mol	the name of molecular species to see

Details

Find the best fit slope then plot it. Currently this function uses ordinary least square method(OLS) only. This function calles BestSlope function.

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

See also

BestSlope

Examples

plotFit(Theoph, "Subject", "Time", "conc", ID="1")
#>         R2      R2ADJ    LAMZNPT       LAMZ         b0     CORRXY     LAMZLL 
#>  0.9999997  0.9999995  3.0000000  0.0484570  2.3687851 -0.9999999  9.0500000 
#>     LAMZUL      CLSTP 
#> 24.3700000  3.2801465 
plotFit(Indometh, "Subject", "time", "conc", adm="Bolus", ID="1")
#>          R2       R2ADJ     LAMZNPT        LAMZ          b0      CORRXY 
#>  0.99706673  0.99413345  3.00000000  0.15832048 -1.72421060 -0.99853229 
#>      LAMZLL      LAMZUL       CLSTP 
#>  5.00000000  8.00000000  0.05024851