SSpower3P: Self-Starting Nls 'power3P' Regression Model

In ggtrendline: Add Trendline and Confidence Interval to 'ggplot'

Self-Starting Nls 'power3P' Regression Model

Description

This selfStart model evaluates the power regression function (formula as: y=a*x^b+c). It has an initial attribute that will evaluate initial estimates of the parameters a, b, and c for a given set of data.

Usage

SSpower3P(predictor, a, b, c)

Arguments

predictor	a numeric vector of values at which to evaluate the model.
a, b, c	Three numeric parameters responding to the exp3P model.

Value

No return value (called for side effects).

See Also

ggtrendline, SSexp3P, SSpower3P, nls, selfStart

Examples

library(ggtrendline)
x<-1:5
y<-c(2,4,8,20,25)
xy<-data.frame(x,y)
getInitial(y ~ SSpower3P(x,a,b,c), data = xy)
## Initial values are in fact the converged values

fitpower3P <- nls(y~SSpower3P(x,a,b,c), data=xy)
summary(fitpower3P)

prediction <- predFit(fitpower3P , data.frame(x=x), se.fit = TRUE,
                          level = 0.95, interval = "confidence")
yfitpower3P <- prediction$fit
yfitpower3P # output a matrix of predictions and bounds with column names fit, lwr, and upr.

ggtrendline documentation built on April 27, 2022, 9:06 a.m.