scatterplot_ple: Plot a profile likelihood estimation (PLE) scatter plot
In pdp10/sbpiper: Data Analysis Functions for 'SBpipe' Package

Description Usage Arguments Value Examples

Plot a profile likelihood estimation (PLE) scatter plot

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scatterplot_ple(df, g = ggplot(), colNameX = "x", colNameY = "y",
  conf_level_66 = 0, conf_level_95 = 0, conf_level_99 = 0,
  dot_size = 0.1)

`df`	a data frame
`g`	the current ggplot to overlap
`colNameX`	the name of the column for the X axis
`colNameY`	the name of the column for the Y axis
`conf_level_66`	the 66% confidence level to plot
`conf_level_95`	the 95% confidence level to plot
`conf_level_99`	the 99% confidence level to plot
`dot_size`	the size of the dots in the scatterplot

the plot

a <- rnorm(10000)
b <- a^2+10
df<-data.frame(a, b)
scatterplot_ple(df, colNameX="a", colNameY="b", conf_level_66=0)
scatterplot_ple(df, colNameX="a", colNameY="b", 
                conf_level_66=13, conf_level_95=16.5, conf_level_99=20)