SSexp2P | R Documentation |
This selfStart model evaluates the power regression function (formula as: y=a*exp(b*x)). It has an initial attribute that will evaluate initial estimates of the parameters 'a' and 'b' for a given set of data.
SSexp2P(predictor, a, b)
predictor |
a numeric vector of values at which to evaluate the model. |
a, b |
The numeric parameters responding to the exp2P model. |
No return value (called for side effects).
ggtrendline
, SSexp3P
, SSpower3P
, nls
, selfStart
library(ggtrendline) x<-1:5 y<-c(2,4,8,20,25) xy<-data.frame(x,y) getInitial(y ~ SSexp2P(x,a,b), data = xy) ## Initial values are in fact the converged values fitexp2P <- nls(y~SSexp2P(x,a,b), data=xy) summary(fitexp2P) prediction <- predFit(fitexp2P , data.frame(x=x), se.fit = TRUE, level = 0.95, interval = "confidence") yfitexp2P <- prediction$fit yfitexp2P # output a matrix of predictions and bounds with column names fit, lwr, and upr.
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