Four Plot

The 4-plot is an EDA technique for testing underlying assumptions. It returns a list of 4 plots;

fourPlot(data, bins=11)

Arguments

data

A list of data values.

bins

Number of bins to show in the histogram.

Value

A frame with 4 plots.

Details

The 4-plot outputs a frame with four plots. A run sequence plot to answer the questions of whether or not the data has fixed location and/or fixed variation. A lag plot that show you whether or not the data is random. A histogram to test if the data follows a normal distribution. A normal probability plot that tests together with the histogram, if the data follows a normal distribution. All plots are made with ggplot2 and can be elaborated further if needed.

The output is a 4plot object, a list containing 4 ggplots. In order seq_plot, lag_plot, hist_plot, quant_plot

  • seq_plot uses geom_line()

  • lag_plot uses geom_point()

  • hist_plot uses geom_histogram()

  • quant_plot uses geom_qq()

See the vignette for more details about this.

Examples

x <- LEW.DAT$Deflection
fourPlot(x)