`R/BSDA-package.R`

`Bones.Rd`

Data for Example 7.22

`Bones`

A data frame/tibble with 70 observations on two variables

- density
bone density measurements

- group
a factor with levels

`active`

and`nonactive`

Kitchens, L. J. (2003) *Basic Statistics and Data Analysis*.
Pacific Grove, CA: Brooks/Cole, a division of Thomson Learning.

```
t.test(density ~ group, data = Bones, alternative = "greater")
#>
#> Welch Two Sample t-test
#>
#> data: density by group
#> t = 0.83732, df = 66.806, p-value = 0.2027
#> alternative hypothesis: true difference in means is greater than 0
#> 95 percent confidence interval:
#> -3.99656 Inf
#> sample estimates:
#> mean in group active mean in group nonactice
#> 211.6286 207.6000
#>
t.test(rank(density) ~ group, data = Bones, alternative = "greater")
#>
#> Welch Two Sample t-test
#>
#> data: rank(density) by group
#> t = 2.1844, df = 67.867, p-value = 0.0162
#> alternative hypothesis: true difference in means is greater than 0
#> 95 percent confidence interval:
#> 2.446855 Inf
#> sample estimates:
#> mean in group active mean in group nonactice
#> 40.67143 30.32857
#>
wilcox.test(density ~ group, data = Bones, alternative = "greater")
#> Warning: cannot compute exact p-value with ties
#>
#> Wilcoxon rank sum test with continuity correction
#>
#> data: density by group
#> W = 793.5, p-value = 0.01695
#> alternative hypothesis: true location shift is greater than 0
#>
```