nice_scatter_plot_w_outliers: nice_scatter_plot_w_outliers

In mvhunter1/mvhspatialplots: Some improved functions for analysis of ST and GSEA data.

Description

nicer looking scatter plot with outlier points labelled.

Usage

nice_scatter_plot_w_outliers(
  df,
  x_var,
  y_var,
  variable_to_label,
  low_outlier_cutoff = -0.5,
  high_outlier_cutoff = 0.5,
  fit_line = F,
  calculate_rsq = T,
  calculate_R = T,
  label_outliers = T
)

Arguments

df	dataframe with data to plot.
x_var	name of X variable column in df as string.
y_var	name of Y variable column in df as string.
variable_to_label	column in df with the labels you want on the plot for outliers.
low_outlier_cutoff	bottom residual cutoff to select outliers, default -0.5
high_outlier_cutoff	top residual cutoff to select outliers, default 0.5
fit_line	plot a fitted line on the plot?
calculate_rsq	calculate Rsq?
calculate_R	calculate R?
label_outliers	label outliers on plot?

Value

scatter plot.

mvhunter1/mvhspatialplots documentation built on April 24, 2021, 10:52 a.m.