R implementation of binned scatterplot and CEF plotter, with added options for cluster variance

Usage

binscatter(
  fmla,
  key_var,
  data,
  plotraw = TRUE,
  bins = 20,
  rawdata_colour = "black",
  rawdata_alpha = 0.2,
  rawdata_size = 0.5,
  linfit_width = 0.6,
  linfit_colour = "blue",
  cef_point_size = 1,
  cef_point_colour = "red",
  ci_colour = "gray",
  ci_alpha = 0.3
)

Arguments

fmla: FELM formula *as a string*
key_var: X axis variable for CEF
data: dataframe
plotraw: T if underlying scatterplot should be plotted
bins: number of bins
rawdata_colour: Colour of Rawdata
rawdata_alpha: Alpha of Rawdata
rawdata_size: Size of Rawdata
linfit_width: width of linear fit
linfit_colour: colour of linear fit
cef_point_size: Size of binscatter points
cef_point_colour: Colour of binscatter points
ci_colour: Colour of CI ribbon
ci_alpha: Alpha of CI ribbon

Examples

binscatter('Sepal.Length ~ Petal.Length + Petal.Width|Species', key_var = 'Petal.Width', iris)
#> Loading required package: lfe
#> Loading required package: Matrix
#> Loading required package: stringr
#> Loading required package: ggplot2