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jmv (version 0.7.3.1)

propTest2: Proportion Test (2 Outcomes)

Description

Binomial test

Usage

propTest2(data, vars, areCounts = FALSE, testValue = 0.5,
  hypothesis = "notequal", ci = FALSE, ciWidth = 95)

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

Examples

Run this code

dat <- data.frame(x=c(8, 15))

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

#
#  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
#

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