Issue adjusting minw

[sebas-slau]

Hi,

Thanks for developing this test - it is useful to my work and I'm still exploring it/ going thru the documentation.

However, I can't seem to adjust the minimum window parameter. Whether I specify a value higher or lower than the default, I get the same error message. In particular, the radf() function seems ok but not when I run the results e.g. diagnostics().

Grateful for any advice/help on this, pls.

# This works fine
# (minw=17 is the default given my sample size; I'm including it here just for illustration)
> radf_test <-radf(data, minw = 17)
Using `date` as index variable.
> diagnostics(radf_test)
Using `radf_crit` for `cv`.

── Diagnostics (option = gsadf) ───────────────── Monte Carlo ──

x1:   Rejects H0 at the 5% significance level
x2:   Cannot reject H0 
x3:   Rejects H0 at the 5% significance level
x4:   Rejects H0 at the 5% significance level

# Becomes problematic when I change minw
> radf_test <-radf(data, minw = 18)
Using `date` as index variable.
> diagnostics(radf_test)
Using `radf_crit` for `cv`.
Error: minimum window does not match

> radf_test <-radf(data, minw = 16)
Using `date` as index variable.
> diagnostics(radf_test)
Using `radf_crit` for `cv`.
Error: minimum window does not match

[sebas-slau]

Silly me- I did not realise I'd have to adjust the other values consistently if I deviate from the default values at the start.

All good now!

# So this is not good:
> radf_test <-radf(data, minw = 18)
> summary(radf_test)                                                                                             
Using `radf_crit` for `cv`.
Error: minimum window does not match

# But this is fine:
> radf_test <-radf(data, minw = 18)
> radf_cv <- radf_mc_cv(n = nrow(data), minw = 18)     # probably good to create new variable
> summary(radf_test, cv = radf_cv)

Thanks again for developing this set of codes :)