# rh.sd.sidak: Ryan-Holm Step-Down Sidak Procedure In RHSDB: Ryan-Holm Step-Down Bonferroni or Sidak Procedure

 rh.sd.sidak R Documentation

## Ryan-Holm Step-Down Sidak Procedure

### Usage

```rh.sd.sidak(p,effect,effect.se,df,type,sig,side,digits)
```

### Arguments

 `p` the raw p values `effect` the effect size from the multiple comparisons, e.g. the mean difference from t test or paried t test `effect.se` the standard error of effect size from the multiple comparisons, e.g. the standard error of mean difference from t test or paried t test) `df` the degree of freedom of hypothesis test, e.g. n1+n2-2 for t test, n-1 for paried t test `type` the type of the effect size, default is "mean" `sig` the significance level, default is 0.05 `side` "one" or "two" sided hypothesis test `digits` the number of decimal digits

### Value

 `p.adj` the adjusted p value `ci.adj.l` the lower limit of adjusted confidence interval `ci.adj.u` the upper limit of adjusted confidence interval

### Note

Reference:

1. John Ludbrook (2000). MULTIPLE INFERENCES USING CONFIDENCE INTERVALS. Clinical and Experimental Pharmacology and Physiology. 27: 212-215.

Update:

Version 0.1.0: The first version.

Version 0.2.0: Fix the bug for maintaining monotonicity of the ranking p-values.

`rh.sd.bonferroni`

### Examples

```p=c(0.217,0.00028,0,0.001,0.024,0.719,0.00033)
effect=c(16,74,-85,-38,29,5,91)
effect.se=c(12,16,14,9,12,16,20)
df=16
rh.sd.sidak(p,effect,effect.se,df)
```

RHSDB documentation built on Oct. 25, 2022, 9:06 a.m.