https://github.com/cran/bayestestR
Revision 23ea3229abe72a5f23dcf3a4cfcd3478d744b536 authored by Dominique Makowski on 20 June 2019, 11:50:03 UTC, committed by cran-robot on 20 June 2019, 11:50:03 UTC
1 parent 9985109
Tip revision: 23ea3229abe72a5f23dcf3a4cfcd3478d744b536 authored by Dominique Makowski on 20 June 2019, 11:50:03 UTC
version 0.2.2
version 0.2.2
Tip revision: 23ea322
example2.R
## ----message=FALSE, warning=FALSE, include=FALSE-------------------------
library(bayestestR)
data(iris)
library(knitr)
options(knitr.kable.NA = '')
knitr::opts_chunk$set(comment=">")
options(digits=2)
set.seed(333)
## ----message=FALSE, warning=FALSE, eval=TRUE-----------------------------
result <- cor.test(iris$Sepal.Width, iris$Sepal.Length)
result
## ----message=FALSE, warning=FALSE, results='hide'------------------------
library(BayesFactor)
result <- correlationBF(iris$Sepal.Width, iris$Sepal.Length)
## ----message=FALSE, warning=FALSE, eval=FALSE----------------------------
# describe_posterior(result)
## ----echo=FALSE----------------------------------------------------------
structure(list(Parameter = "rho", Median = -0.114149129692488,
CI = 89, CI_low = -0.240766308855643, CI_high = 0.00794997655649642,
pd = 91.6, ROPE_CI = 89, ROPE_low = -0.1, ROPE_high = 0.1,
ROPE_Percentage = 42.0949171581017, BF = 0.509017511647702,
Prior_Distribution = "cauchy", Prior_Location = 0, Prior_Scale = 0.333333333333333), row.names = 1L, class = "data.frame")
## ----message=FALSE, warning=FALSE, eval=TRUE-----------------------------
bayesfactor(result)
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