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Plotting method for diagnostic class objects

Source: R/hetu_diagnostic.R
plot.diagnostic.Rd

Creates a concise plot that visualizes TRUE and FALSE cases in a diagnostics data frame

Usage

# S3 method for class 'diagnostic'
plot(x, negate.logicals = FALSE, labels = TRUE, ...)

Arguments

x

a "summary.diagnostic" object

negate.logicals

negate TRUE and FALSE logicals, default is FALSE. Sometimes it may be beneficial to emphasize FALSE cases instead of TRUE

labels

include column labels on y-axis, default is TRUE

...

Arguments to be passed to methods, such as graphical parameters. For example:

  • type what type of plot should be drawn. Default is "h" for histogram / high density vertical lines.

  • lwd line width as double Default is 1.0

See plot and par for more options

Details

There seems to be no canonical answer on what to call this type of plot. Some of the names that can be found online when describing a plot for binary response value on an axis are: a one-dimensional scatterplot, a sparkline, a rug plot, or a strip plot / strip chart.