我正在尝试将 Boltzmann sigmoid 拟合1/(1+exp((x-p1)/p2))到这个小型实验数据集:
xdata <- c(-60,-50,-40,-30,-20,-10,-0,10)
ydata <- c(0.04, 0.09, 0.38, 0.63, 0.79, 1, 0.83, 0.56)
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我知道这很简单。例如,使用nls:
fit <-nls(ydata ~ 1/(1+exp((xdata-p1)/p2)),start=list(p1=mean(xdata),p2=-5))
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我得到以下结果:
Formula: ydata ~ 1/(1 + exp((xdata - p1)/p2))
Parameters:
Estimate Std. Error t value Pr(>|t|)
p1 -33.671 4.755 -7.081 0.000398 ***
p2 -10.336 4.312 -2.397 0.053490 .
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Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 0.1904 on 6 degrees of freedom
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