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Example of using nlsLM to fit an s-curve to data
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# Based on a post at \url{http://www.walkingrandomly.com/?p=5254} | |
library(dplyr) | |
library(ggplot2) | |
library(minpack.lm) | |
# The data to fit | |
my_df <- data_frame(x = c(0,15,45,75,105,135,165,195,225,255,285,315), | |
y = c(0,0,0,4.5,19.7,39.5,59.2,77.1,93.6,98.7,100,100)) | |
# EDA to see the trend | |
ggplot(my_df, aes(x = x, y = y)) + geom_point() | |
# Set initial values for the parameters | |
p1 <- 100 | |
p2 <- 0 | |
p3 <- 175 | |
p4 <- .01 | |
#my_fn <- my_df$y ~ p1 / (1 + exp(-my_df$x)) + p2 | |
# Fit the data with a sigmoid function | |
fit_nls <- nlsLM(formula = y ~ p1 / (1 + exp(-x * p4 + p3)) + p2, | |
data = my_df, | |
control = nls.lm.control(ftol = 1e-10, ptol = 1e-10), | |
start = list(p1 = p1, p2 = p2, p3 = p3, p4 = p4), | |
lower = c(p1 = -Inf, p2 = 0, p3 = -Inf, p4 = -Inf), | |
upper = c(p1 = 100, p2 = Inf, p3 = Inf, p4 = Inf)) | |
summary(fit_nls) | |
# Create a data set of fitted data | |
new_df <- data_frame(x = seq(min(my_df$x), max(my_df$x), length.out = 10*nrow(my_df))) | |
new_df$y = predict(fit_nls, new_df) | |
# Plot both original data and the fitted curve | |
ggplot() + | |
geom_line(data = new_df) + | |
geom_point(data = my_df) + | |
aes(x = x, y = y) | |
Thanks for reporting that. I think something must have changed in minpack.lm. I'll update when I figure it out.
Sir, how to superimpose nls plots, drawn by using easynls
Actually, I want to do a Non-linear growth curve study, where I want to draw many non-linear growth curve on the same data, e.g., logistic, Richard, von bertallanffy, Gompertz.
Thanks for reporting that. I think something must have changed in minpack.lm. I'll update when I figure it out.
Any update on this? I'm running into the same error with my own data.
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Error in nlsModel(formula, mf, start, wts) :
singular gradient matrix at initial parameter estimates