| fitpoly1 {tcplfit2} | R Documentation |
Polynomial 1 (Linear) Model Fit
Description
Function that fits to f(x) = a*x and returns generic model outputs.
Usage
fitpoly1(conc, resp, bidirectional = TRUE, verbose = FALSE, nofit = FALSE)
Arguments
conc |
Vector of concentration values NOT in log units. |
resp |
Vector of corresponding responses. |
bidirectional |
If TRUE, model can be positive or negative; if FALSE, it will be positive only. |
verbose |
If TRUE, gives optimization and hessian inversion details. |
nofit |
If nofit = TRUE, returns formatted output filled with missing values. |
Details
Zero background and increasing absolute response are assumed. Parameters are "a" (y scale) and error term "er". success = 1 for a successful fit, 0 if optimization failed, and NA if nofit = TRUE. cov = 1 for a successful hessian inversion, 0 if it fails, and NA if nofit = TRUE. aic, rme, modl, parameters, and parameter sds are set to NA in case of nofit or failure.
Value
Named list containing: success, aic (Akaike Information Criteria), cov (success of covariance calculation), rme (root mean square error), modl (vector of model values at given concentrations), parameters values, parameter sd (standard deviation) estimates, pars (vector of parameter names), sds (vector of parameter sd names).
Examples
fitpoly1(c(.03,.1,.3,1,3,10,30,100), c(0,.01,.1, .1, .2, .5, 2, 5))