Strange behaviour of geom_smooth and splines::ns

[Glenn Stone]

Can anyone explain to me why the following example produces two different smooths. (This is a simulation based on a rather larger real data set)

The only difference in the geom_smooth is the use of splines::ns versus ns

If using R 3.4.3 on windows and ggplot2 version 2.2.1

require(splines)

require(ggplot2)

set.seed(12345)

dat = data.frame(claim=rbinom(1000,1,0.5))

mns = c(3.4,3.6)

sds = c(0.24, 0.35)

dat$wind = exp(rnorm(nrow(dat), mean=mns[dat$claim+1], sd=sds[dat$claim+1]))

dat = dat[order(dat$wind),]

ggplot(dat, aes(wind,claim))+geom_point()+

  geom_smooth(method = "glm",

              method.args = list(family = binomial), 

              formula = y ~ splines::ns(x, df=5))+

  geom_smooth(method = "glm",

              method.args = list(family = binomial), 

              formula = y ~ ns(x, df=5))

[Hadley Wickham]

I can't.  Can you please file an issue on github? I'm not sure what's going on here.

Hadley

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