![[Deprecated]](figures/lifecycle-deprecated.svg)
qV(q, K, m, scenario, type = "numeric")Arguments
- q
(vector) of the quantiles for picks of the data plot out of K evaluations
- K
number of evaluations
- m
size of the lineup
- scenario
which scenario should be used? 1, 2, or 3?
- type
one of "mpfr" or "numeric". Should the result be in arbitrary numeric length or be a numeric? Internally the Rmpfr package is used to get maximal precision.
Examples
## get critical values of visual triangle test:
qV(q=c(0.95, 0.99), K=c(5,10,15,20, 25, 30), m=3, scenario=1:3)
#> Warning: `qV()` was deprecated in vinference 1.0.0.
#> ℹ Please use `qVis()` instead.
#> q K scenario1 scenario2 scenario3
#> 1 0.95 10 6 8 8
#> 2 0.95 15 8 10 12
#> 3 0.95 20 10 13 15
#> 4 0.95 25 12 16 18
#> 5 0.95 30 14 18 21
#> 6 0.95 5 3 5 5
#> 7 0.99 10 7 9 10
#> 8 0.99 15 9 12 14
#> 9 0.99 20 12 15 18
#> 10 0.99 25 14 18 22
#> 11 0.99 30 16 21 26
#> 12 0.99 5 4 NA NA
## get critical values of full lineup test:
qV(q=c(0.95, 0.99), K=c(5,10,15,20, 25, 30), m=20, scenario=3)
#> q K scenario3
#> 1 0.95 10 3
#> 2 0.95 15 4
#> 3 0.95 20 4
#> 4 0.95 25 5
#> 5 0.95 30 5
#> 6 0.95 5 2
#> 7 0.99 10 4
#> 8 0.99 15 5
#> 9 0.99 20 5
#> 10 0.99 25 6
#> 11 0.99 30 7
#> 12 0.99 5 3