plotDsFreqDistributionViolin: plot dataset frequency distribution as a violin graph

In gurol/DsFeatFreqComp: Dataset Feature-Frequency Comparison

Description

Plot feature frequency statistics per dataset as a violin graph (frequency probability densities) and descriptive statistics: ranges (min/max values shown in vertical line ends), quartiles (lower and upper shown in bottom and top edges of box), medians (horizontal line in box), means (black dot), and outliers (pink dot) per dataset.

Usage

plotDsFreqDistributionViolin(df_melted, condition = "Positive",
  ds_palette = dataset.colors, label_x = "Datasets",
  label_y = "Feature frequency probability densities, ranges, quartiles, means, outliers")

Arguments

df_melted	Data frame melted as Feature_Name | variable (DSi) | value (feature frequency for DSi)
condition	Datasets' class (default: 'Positive' or 'Negative')
ds_palette	Dataset colors (default: dataset.colors)
label_x	X axis label (default: 'Datasets')
label_y	Y axis label (default: 'Feature frequency probability densities, ranges, quartiles, means, outliers')

Value

None

Note

Development notes:

See Also

http://www.sthda.com/english/rpkgs/ggpubr/ For pairwise comparison add my_comparisons <- list(c('DS0', 'DSA'), c('DS0', 'DS1'), c('DS0', 'DS2')) Add ggpubr::stat_compare_means(comparisons=my_comparisons, label = 'p.signif')+

Examples

data(dsfeatfreqpositive)
df_melted <- meltDataFrame(dsfeatfreqpositive)
plotDsFreqDistributionViolin(df_melted)

gurol/DsFeatFreqComp documentation built on Dec. 30, 2020, 3:36 p.m.