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54 lines
1.4 KiB
R
54 lines
1.4 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/win_prob.R
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\name{win_prob}
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\alias{win_prob}
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\title{Calculates the probability of winning}
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\source{
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\doi{10.1161/STROKEAHA.121.037744}
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}
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\usage{
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win_prob(
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data,
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response = NULL,
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group = NULL,
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alpha = 0.05,
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beta = 0.2,
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group.ratio = 1,
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sample.size = FALSE,
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print.tables = FALSE,
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dec = 3
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)
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}
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\arguments{
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\item{data}{A data frame containing the response and group variable.}
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\item{response}{The name of the response variable.
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Takes first column if empty.}
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\item{group}{The name of the group variable.
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Takes second column if empty.}
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\item{alpha}{The alpha level for the hypothesis test. Default is 0.05.}
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\item{beta}{The beta level for the sample size calculation. Default is 0.2.}
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\item{group.ratio}{The ratio of group sizes. Default is 1.}
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\item{sample.size}{Flag to include sample size calculation. Default is FALSE.}
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\item{print.tables}{Flag to print cumulative tables. Default is FALSE.}
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\item{dec}{Numeric for decimals to print. Default is 3.}
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}
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\value{
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A list containing the win_prob statistics.
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}
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\description{
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Calculates the probability of winning (winP). In the referenced
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article Zou et al (2022) proposes a method for calculating probability of
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winning with a confidence interval an p-value testing.
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}
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\examples{
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win_prob(data=stRoke::talos,response="mrs_6",group="rtreat")
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}
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