comparisonPlots {voiceR}

Create boxplots for extracted audio features

Description

Generates boxplots for each exracted feature. Plots can be split by experimental condition.

Usage

comparisonPlots(
  audioData,
  by = c(),
  measures = c("duration", "voice_breaks_percent", "RMS_env", "mean_loudness", "mean_F0",
    "sd_F0", "mean_entropy", "mean_HNR"),
  normalSig = 0.05,
  avoidNormalCheck = FALSE
)

Arguments

audioData

A data.frame generated by the autoExtract() function.

by

An optional character vector indicating column(s) from which the comparison groups are to be retrieved.

measures

An optional character vector indicating the name of the variables to be plotted.

normalSig

Set significance level to test for normality assumptions. Default corresponds to "0.05".

avoidNormalCheck

Logical value forcing to avoid checking for normality. When defined as TRUE, it is assumed that the data is normally distributed. Default corresponds to FALSE.

Value

A list containing the generated boxplots.

Examples

comparisonPlots(testAudioData, by = "Condition")