Simple scatter plot, adding marginal histogram by default.

Simple scatter plot, adding marginal histogram by default.

Usage

scatter.plot.simple(
  data,
  x,
  y,
  size0 = 0.2,
  alpha0 = 0.3,
  dilute = FALSE,
  add_hist = TRUE,
  add_stat_cor = FALSE
)

Arguments

data

dataset

x

x

y

y

size0

point size, default to 1 of nobs<1000, 0.4 if nobs>1000

alpha0

alpha of point

dilute

a number or logical, dafault to TRUE, will plot nrow(data_long)/dilute data. For example, if dilute = 5 will plot 1/5 of the data. if dilute = TRUE will plot half of the data.

add_hist

optional to add marginal histogram using ggExtra::ggMarginal but notice if add histogram, what is returned is no longer a ggplot2 object

add_stat_cor

add correlation and p-value from ggpubr::stat_cor

Value

ggplot2 object if add_hist = FALSE

Examples

scatter.plot.simple(data = iris, x = "Sepal.Length", y = "Petal.Length")