sample.curve: Provide the number of observations to simulate curvature (default is 1000)
ylab: Dependent variable name (Accepts the expression() function)
error: Error bar (It can be SE - default, SD or FALSE)
xlab: Independent variable name (Accepts the expression() function)
theme: ggplot2 theme (default is theme_classic())
legend.position: legend position (default is "top")
r2: coefficient of determination of the mean or all values (default is all)
point: defines whether you want to plot all points ("all") or only the mean ("mean")
width.bar: Bar width
scale: Sets x scale (default is none, can be "log")
textsize: Font size
pointsize: shape size
linesize: line size
linetype: line type
pointshape: format point (default is 21)
fillshape: Fill shape
colorline: Color lines
round: round equation
xname.formula: Name of x in the equation
yname.formula: Name of y in the equation
comment: Add text after equation
fontfamily: Font family
Returns
The function returns a list containing the coefficients and their respective values of p; statistical parameters such as AIC, BIC, pseudo-R2, RMSE (root mean square error); largest and smallest estimated value and the graph using ggplot2 with the equation automatically.
Details
Inverse degree 3 polynomial model without the beta 2 coefficient is defined by: