prepare_scatter_plot: Prepares a Scatter Plot
In ExPanDaR: Explore Your Data Interactively

Description Usage Arguments Value Examples

Reads a data frame and prepares a scatter plot.

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

`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

the plot as returned by ggplot

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