fit_growth: Fit a Growth Curve to the Given Data

In briandconnelly/growthcurve: Analysis of Biological Growth

Description

fit_growth fits a growth curve using either a parametric model or splines.

Usage

fit_growth(df, time, data, model = "logistic", ...)

fit_growth_(df, time_col, data_col, model = "logistic", ...)

Arguments

df	a data frame
time	column in df that contains time data
data	column in df that contains growth data (default: TRUE)
model	name of the model to fit. One of: logistic: a logistic function (default) logistic4p: a 4-parameter logistic function gompertz: a Gompertz function loess: a LOESS curve linear: a linear function spline: spline interpolation of the data grofit_parametric: a parametric function. grofit will attempt to fit each of the following models and return the best fit according to AIC. grofit_logistic: a logistic function (using grofit) grofit_gompertz: a Gompertz function (using grofit) grofit_gompertz.exp: a modified Gompertz function (using grofit) grofit_richards: a Richards growth curve (using grofit) grofit_spline: spline interpolation (using grofit)
...	Additional arguments for the specific model function
time_col	String giving the name of the column in df that contains time data
data_col	String giving the name of the column in df that contains growth data

Value

A growthcurve object

Examples

## Not run: 
# Fit the data given in columns Time and OD600
fit_growth(mydata, Time, OD600, model = "logistic")
## End(Not run)

briandconnelly/growthcurve documentation built on May 13, 2019, 5:13 a.m.