On Mon, 6 Nov 2023 14:55:39 -0500
J C Nash wrote:
> However, I'm wondering if this approach is worth writing up, at least
> as a vignette or blog post. It does need a shorter example and some
> explanation of the "why" and some testing perhaps.
Do you mean using this problem as a basis to illust
Handling NSE in these kinds of examples is a pain in lattice. I would
suggest using with() and dropping the data argument for simple examples,
e.g.,
dd |> mutate(new.proportion = las/total, new.bubble = total/100) |>
with(dotplot(agency ~ new.proportion, pch = 16, cex = new.bubble))
But if yo
Hello. My question is in the subject line. Using R 4.1.3 on Windows 10.
Commented MWE below. Thanks.
--Chris Ryan
library(dplyr)
library(lattice)
## fabricate a dataframe
dd <- data.frame(agency = sample(LETTERS, size = 5),
total = sample(100:200, size = 5),
las = sample(20:40, size = 5))
dd <
> Steven Yen
> on Tue, 7 Nov 2023 09:09:33 +0800 writes:
> Dear
> I estimate a sample selection model using the Clayton copula and Burr
> and Gaussian marginal. I need to derive ther Kendall'sw tau from the
> concordance coefficient by integration. I came across a wa
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