This function helps process linear models, such as
patlak.plot
or logan.plot
. It
finds the optimal fitting point by calling
findbestfit
and proceeeds to compute the
kinetic parameters, that will mostly consist of the
intercept and slope of the linear regression, along with
their standard errors.
1  processlinear(termx, termy, plot = TRUE, ...)

termx,termy 
The x and y values of the graph. 
plot 
Should the result be shown? Defaults to

... 
Further parameters for the 
It plot
is set to TRUE
, the regression will
be shown on screen. The data points used to compute the
regression are displayed with a filled style, while the
ones that have not been used are displayed using open
circles.
Returns a list with three fields: kparms
, the
computed kinetic parameters; stderrors
, the
standard errors for each parameter as a percentage;
fit
, the actual fitted object.
Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
Please suggest features or report bugs with the GitHub issue tracker.
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