fitModel. onls returns the output of the
nls
function. sumonls returns the result of calling summary
on onls function. parEst returns a summary of model
parameter estimates. The remaining functions return lists
representing various aspects of the results returned by the function
fitModel.onls(result)
sumnls(result)
parEst(result, param = "", dataset = NA, verbose = TRUE)
getXList(result)
getCLPList(result, getclperr = FALSE)
getDataList(result, numsing = 2)
getResidualList(result, numsing = 2)
getTracesList(result)
getdim1List(result)
getdim2List(result)fitModelparam=="" then all parameters are given.dataset=NA in which case results from all datasets
are returnedTRUE that determines
whether parEst just returns a list invisibly or prints as well.FALSE that determines
whether a list containing the standard error estimates associated with
the conditionally linear parameters, as opposed to the conditionally
linear parameters themselvessumnls returns an object of class "summary.nls".
onls returns an object of class "nls".
parEst returns an object of class "list" representing
the parameter estimates. XList returns a "list" of length equal to the number of
datasets modeled, where each element represents the matrix determined
by the nonlinear parameters (under a kinetic model, the concentrations).
CLPList returns a "list" of length equal to the number of
datasets modeled, where each element represents the matrix determined
as conditionally linear parameters (under a kinetic model, the spectra).
getDataList returns a "list" of length 2.
The first element is named svddatalist and is a
"list" of length equal to the number of
datasets modeled, where each element is a list with elements
values, left and right, where values
contains the singular values, left contains numsing
left singular vectors, and right contains numsing
right singular vectors, all of the residuals.
The second
element is named "datalist" and
is a "list" of length equal to the number of
datasets modeled, where each element represents the matrix of
unweighted data.
getResidualList returns a "list" of length 2.
The first element is named svdresidlist and is a
"list" of length equal to the number of
datasets modeled, where each element is a list with elements
values, left and right, where values
contains the singular values, left contains numsing
left singular vectors, and right contains numsing
right singular vectors, all of the residuals.
The second
element is named "residlist" and
is a "list" of length equal to the number of
datasets modeled, where each element represents the matrix of
residuals.
getTracesList returns a "list" of length equal to the
number of datasets modeled, where each element is a "list" of
length equal to the number of x2 values in the dataset
(wavelengths for kinetic models). Each of the x2 elements
represents the trace, that is, fit with respect to time, at the
corresponding x2-value.
getdim1List returns a "list" of length equal to the
number of datasets modeled, where each element is a "vector" of
length equal to the number of x values in the dataset
(times for kinetic models).
getdim2List returns a "list" of length equal to the
number of datasets modeled, where each element is a "vector" of
length equal to the number of x2 values in the dataset
(wavelengths for kinetic models).
fitModel