prepare_scatter_plot: Prepares a Scatter Plot

In joachim-gassen/ExPanDaR: Explore Your Data Interactively

Prepares a Scatter Plot

Description

Reads a data frame and prepares a scatter plot.

Usage

prepare_scatter_plot(
  df,
  x,
  y,
  color = "",
  size = "",
  loess = 0,
  alpha = min(1, 1/((1 + (max(0, log(nrow(df)) - log(100))))))
)

Arguments

df	Data frame containing the data
x	a string containing the column name of the x variable
y	a string containing the column name of the y variable
color	a string containing the column name of the variable providing the color aesthetic (can be numerical or a factor)
size	a string containing the column name of the variable providing the size aesthetic
loess	a numerical scalar 0 No loess curve 1 loess curve with equal weights 2 loess curve with weights based on size variable
alpha	The alpha value to be used. If missing, it calculates a default based on the sample size

Value

the plot as returned by ggplot

Examples

df <- data.frame(year = floor(stats::time(datasets::EuStockMarkets)),
                 datasets::EuStockMarkets[, c("DAX", "FTSE")])
prepare_scatter_plot(df, x="DAX", y="FTSE", color="year")

joachim-gassen/ExPanDaR documentation built on June 12, 2025, 7:34 p.m.