ExPanDaR (version 0.5.3)

prepare_scatter_plot: 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

# NOT RUN {
df <- data.frame(year = floor(stats::time(datasets::EuStockMarkets)),
                 datasets::EuStockMarkets[, c("DAX", "FTSE")])
prepare_scatter_plot(df, x="DAX", y="FTSE", color="year")
# }