Hi CR,
Assuming your data are stored in "d", perhaps something like this:
m <- nls(log(proc) ~ k + a*(b^cls), start = list(a = 2, b = .25, k =
0), data = d)
summary(m)
# gives
## Formula: log(proc) ~ k + a * (b^cls)
## Parameters:
## Estimate Std. Error t value Pr(>|t|)
## a 5.246170.50905
Subject: [R] double exponential regression R
Hello all!
I have a problem with a double exponential equation.
This are my data's> structure(list(proc = c(1870.52067384719,
766.789388745793, 358.701545859122, 237.113777545511, 43.2726259059654,
148.985133316262, 92.6242882655781, 88.45215
Hello all!
I have a problem with a double exponential equation.
This are my data's> structure(list(proc = c(1870.52067384719,
766.789388745793, 358.701545859122, 237.113777545511, 43.2726259059654,
148.985133316262, 92.6242882655781, 88.4521557193262, 56.6404686159112,
27.0374477259404, 34.334729
3 matches
Mail list logo