R: Proportion Test (2 Outcomes)

propTest2 {jmv} | R Documentation

## Proportion Test (2 Outcomes)

### Description

Binomial test

### Usage

    propTest2(data, vars, areCounts = FALSE, testValue = 0.5,
      hypothesis = "notequal", ci = FALSE, ciWidth = 95, bf = FALSE,
      priorA = 1, priorB = 1, ciBayes = FALSE, ciBayesWidth = 95,
      postPlots = FALSE)

### Arguments

`data` | the data as a data frame
`vars` | a vector of strings naming the variables of interest in `data`
`areCounts` | `TRUE` or `FALSE` (default), the variables are counts
`testValue` | a number (default: 0.5), the value for the null hypothesis
`hypothesis` | `'notequal'` (default), `'greater'` or `'less'`, the alternative hypothesis
`ci` | `TRUE` or `FALSE` (default), provide confidence intervals
`ciWidth` | a number between 50 and 99.9 (default: 95), the confidence interval width
`bf` | `TRUE` or `FALSE` (default), provide Bayes factors
`priorA` | a number (default: 1), the beta prior 'a' parameter
`priorB` | a number (default: 1), the beta prior 'b' parameter
`ciBayes` | `TRUE` or `FALSE` (default), provide Bayesian credible intervals
`ciBayesWidth` | a number between 50 and 99.9 (default: 95), the credible interval width
`postPlots` | `TRUE` or `FALSE` (default), provide posterior plots

### Value

A results object containing:

`results$table` |  |  |  |  | a table of the proportions and test results
`results$postPlots` |  |  |  |  | an array of the posterior plots

Tables can be converted to data frames with `asDF` or `as.data.frame`. For example:

`results$table$asDF`

`as.data.frame(results$table)`

### Examples

    ## Not run:
    dat <- data.frame(x=c(8, 15))

    propTest2(dat, vars = 'x', areCounts = TRUE)

    #
    #  PROPORTION TEST (2 OUTCOMES)
    #
    #  Binomial Test
    #  -------------------------------------------------------
    #         Level    Count    Total    Proportion    p
    #  -------------------------------------------------------
    #    x    1            8       23         0.348    0.210
    #         2           15       23         0.652    0.210
    #  -------------------------------------------------------
    #    Note. Ha is proportion != 0.5
    #

    ## End(Not run)

[Package jmv version 0.8.6.2 Index]