sfit: Create a scale_fit object from a dataframe or matrix object

In SATK: Scaling Analysis Toolkit

Description

Extends the native nls object to specialize it for fitting scaling models Allows multiple models to be stored in one workspace.

Usage

  sfit(formula, x, stype = NA, data.cols, start,
    eff.check = TRUE, ...)

Arguments

formula	a formula for to fit
x	a data.frame or matrix object containing data for model. A data.frame should the data in columns named N,for "scaled objects" (e.g. users, cpus), and X_N, for measured throughput. The default for a matrix object is to put scaled objects in the matrix's column 1 (i.e. x[,1]) and throughput in column 2 x[,2]
data.cols	a vector indicating which columns in x has scaled object number and throughput data. data.cols[[1]] is scaled objects, and data.col[[2]] is measured throughput. It can be a numeric vector containing column numbers or a character vector containing the column names.
start	vector with initial guess for parameters
stype	character string to set the sfit_type attribute to.
eff.check	toggle check for over-acheivers
...	additional arguments to pass to function

Value

sfit object

SATK documentation built on May 2, 2019, 4:49 p.m.