Six Plot

The 6-plot is a collection of 6 specific graphical techniques whose purpose is to assess the validity of a Y versus X fit. It returns a list of 6 plots;

• Scatter plot (predicted vs independent variable)

• Scatter plot (residuals vs independent variable)

• Scatter plot (residuals vs predicted values)

• Lag plot of residuals

• Histogram of residuals

• Normal probability plot of the residuals

sixPlot(X, Y, bins=30)

Arguments

X

A list of X values.

Y

A list of Y values.

bins

Number of bins to show in the histogram.

Value

A frame with 6 plots.

Details

The 6-plot outputs a 6plot object with six plots. A method is provided to print them in a frame. The plots are named scat_plot, res_x_plot, res_pred_plot,lag_res_plot, hist_res_plot and qq_plot. The model is a linear fit.

• scat_plot uses geom_point()

• res_x_plot uses geom_point()

• res_pred_plot uses geom_point()

• lag_res_plot uses geom_point()

• hist_res_plot uses geom_histogram()

• qq_plot uses geom_qq()

Examples

X <- 1:100
Y <- rnorm(100, X * 10, 50)
sixPlot(X, Y)