# getTSalpha: Two-sided alpha, alternative, and confidence level In binseqtest: Exact Binary Sequential Designs and Analysis

## Description

Two functions to find `tsalpha` and `alternative`.

## Usage

 ```1 2``` ```getTSalpha(tsalpha = NULL, alternative = NULL, conf.level = NULL) getAlternative(tsalpha) ```

## Arguments

 `tsalpha` vector of length 2 with nominal significance levels for each side, if not NULL overrides `conf.level` and `alternative` (see details) `conf.level` confidence level, ignored if tsalpha is not NULL `alternative` character, alternative hypothesis, either 'less', 'greater' or 'two.sided'

## Details

The `tsalpha` is a vector of length 2 giving the nominal error for each side of confidence intervals. The function `getTSalpha` creates a `tsalpha` vector, allowing its creation either directly (non-null input for the argument `tsalpha` simply outputs that same argument), or through the `alternative` and `conf.level` arguments. The element `tsalpha[1]` is the nominal error on the lower side, so for example if `tsalpha=NULL`, `alternative='greater'`, and`conf.level=.95`, then `getTSalpha` outputs the vector `c(0.05,0)`. In other words, if on rejection you want to conclude that θ>θ_0, then you want all the nominal error to be on the lower side. Similarly `tsalpha[2]` is the nominal error on the upper side, and `tsalpha=NULL`, `alternative='less'`, and`conf.level=.95`, gives `c(0,0.05)`. If `tsalpha=NULL`, `alternative='greater'`, and `conf.level=.95`, then outputs the vector `c(0.025,0.025)`. You must supply either `tsalpha` or both `alternative` and `conf.level`.

## Value

`getTSalpha` returns a tsalpha vector (see details), and `getAlternative` gives the character vector for the appropriate alternative.

## Examples

 ```1 2``` ```getTSalpha(conf.level=.95,alternative="two.sided") getAlternative(c(0,.025)) ```

binseqtest documentation built on May 29, 2017, 3:16 p.m.