P281424/AMR
1
0
Fork 0
mirror of https://github.com/msberends/AMR.git synced 2025-07-11 11:41:54 +02:00
Code Releases Activity

(v1.8.1.9011) update prevalence of some genera

Browse Source
This commit is contained in:
dr. M.S. (Matthijs) Berends
2022-06-03 12:43:25 +02:00
parent 70a07bad39
commit 1b84564d36
35 changed files with 278 additions and 429 deletions
Download Patch File Download Diff File Expand all files Collapse all files

6
man/g.test.Rd
View File

@ -89,8 +89,10 @@ The \emph{G}-test uses the log of the ratio of two likelihoods as the test stati
\eqn{G = 2 * sum(x * log(x / E))}
where \code{E} are the expected values. Since this is chi-square distributed, the p value can be calculated in \R with:\preformatted{p <- stats::pchisq(G, df, lower.tail = FALSE)
}
where \code{E} are the expected values. Since this is chi-square distributed, the p value can be calculated in \R with:
\if{html}{\out{<div class="sourceCode">}}\preformatted{p <- stats::pchisq(G, df, lower.tail = FALSE)
}\if{html}{\out{</div>}}
where \code{df} are the degrees of freedom.