Approximated quantiles (critical values) and distribution function (giving p-values) for Dixon tests for outliers.

```
qdixon(p, n, type = 10, rev = FALSE)
pdixon(q, n, type = 10)
```

p

vector of probabilities.

q

vector of quantiles.

n

length of sample.

type

integer value: 10, 11, 12, 20, or 21. For description see `dixon.test`

.

rev

function `qdixon`

with this parameter set to TRUE acts as `pdixon`

.

Critical value or p-value (vector).

This function is based on tabularized Dixon distribution, given by Dixon (1950) and corrected
by Rorabacher (1991). Continuity is reached due to smart interpolation using `qtable`

function.
By now, numerical procedure to obtain these values for n>3 is not known.

Dixon, W.J. (1950). Analysis of extreme values. Ann. Math. Stat. 21, 4, 488-506.

Dixon, W.J. (1951). Ratios involving extreme values. Ann. Math. Stat. 22, 1, 68-78.

Rorabacher, D.B. (1991). Statistical Treatment for Rejection of Deviant Values: Critical Values of Dixon Q Parameter and Related Subrange Ratios at the 95 percent Confidence Level. Anal. Chem. 83, 2, 139-146.