rafael
April 3, 2018, 1:33pm
1
hi everyone,
I want add confidence intervals in this code:
model<-nls(y ~ b1x^b2,start = list(b1 = 10000,b2 = -1))
model
a<-signif(summary(model)$coef[1], 6)
c<-signif(summary(model)$coef[2], 3)
p<- ggplot(b, aes(x=x, y=y))+
geom_point(aes(colour=ano),size=2)+
geom_smooth(method = "nls",
formula=y ~ b1 x^b2,
method.args=list(start=c(b1 = 10000,b2 = -1)),se=FALSE,colour="red")
p
can you help me ?
mara
April 3, 2018, 1:50pm
2
Could you please turn this into a self-contained reprex (short for minimal repr oducible ex ample)? It will help us help you if we can be sure we're all working with/looking at the same stuff.
Right now the best way to install reprex is:
# install.packages("devtools")
devtools::install_github("tidyverse/reprex")
If you've never heard of a reprex before, you might want to start by reading the tidyverse.org help page . The reprex dos and don'ts are also useful.
If you run into problems with access to your clipboard, you can specify an outfile for the reprex, and then copy and paste the contents into the forum.
reprex::reprex(input = "fruits_stringdist.R", outfile = "fruits_stringdist.md")
For pointers specific to the community site, check out the reprex FAQ, linked to below.
Why reprex?
Getting unstuck is hard. Your first step here is usually to create a reprex, or reproducible example. The goal of a reprex is to package your code, and information about your problem so that others can run it and feel your pain. Then, hopefully, folks can more easily provide a solution.
What's in a Reproducible Example?
Parts of a reproducible example:
background information - Describe what you are trying to do. What have you already done?
complete set up - include any library() calls and data to reproduce your issue.
data for a reprex: Here's a discussion on setting up data for a reprex
make it run - include the minimal code required to reproduce your error on the data…