opt_violin: Violin plots of co-clustering validation results

In jianhaizhang/spatialHeatmap: spatialHeatmap: Visualizing Spatial Assays in Anatomical Images and Large-Scale Data Extensions

Violin plots of co-clustering validation results

Description

Violin plots of co-clustering validation results

Usage

opt_violin(
  data,
  para.na,
  bar.width = 0.1,
  thr = NULL,
  title = NULL,
  title.size = 25,
  xlab = NULL,
  ylab = NULL,
  axis.title.size = 25,
  x.text.size = 25,
  y.text.size = 25,
  x.agl = 0,
  x.vjust = 0.6
)

Arguments

data	A data.frame of co-clustering validation results.
para.na	Targe parameters, which are one or multiple column names in data.
bar.width	Width of the bar.
thr	A y-axis threshold, which will be used to draw a horizontal line.
title, title.size	The plot title and its size.
xlab, ylab	The x and y axis label respectively.
axis.title.size	The size of x and y axis labels.
x.text.size, y.text.size	The size of x and y axis text.
x.agl, x.vjust	The angle and vertical position of x-axis text.

Value

An object of ggplot.

Author(s)

Jianhai Zhang [e-mail]
Dr. Thomas Girke [e-mail]

References

H. Wickham. ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York, 2016.

Examples

set.seed(10)
data <- data.frame(auc=round(runif(30, 0, 1), 2), accuracy=round(runif(30, 0, 1), 2))
opt_violin(data=data, para.na=c('auc', 'accuracy'))

jianhaizhang/spatialHeatmap documentation built on Nov. 28, 2024, 4:44 p.m.