Description Usage Arguments Author(s) See Also Examples
This selfStart model evaluates the power regression function (formula as: y=a*x^b). It has an initial attribute that will evaluate initial estimates of the parameters 'a' and 'b' for a given set of data.
1 | SSpower2P(predictor, a, b)
|
predictor |
a numeric vector of values at which to evaluate the model. |
a, b |
The numeric parameters responsing to the exp2P model. |
Weiping Mei meiweipingg@163.com
trendline
, SSexp3P
, SSpower3P
, nls
, selfStart
1 2 3 4 5 6 7 8 9 | library(basicTrendline)
x<-1:5
y<-c(2,4,8,20,25)
xy<-data.frame(x,y)
getInitial(y ~ SSpower2P(x,a,b), data = xy)
## Initial values are in fact the converged values
fitpower2P <- nls(y~SSpower2P(x,a,b), data=xy)
summary(fitpower2P)
|
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