sigplot: A HDECO internal plot tool for identifying G-squared...
In hdeco: Hierarchical DECOmposition of Entropy for Categorical Map Comparisons

Description Usage Arguments Value Author(s) Examples

Adds shaded points to decomposition spectra to identify decomposition steps with significant G-squared2 statistic values. Requires the output from t.hdeco, specifically the object titled .HPROFIL. This function is called internally by t.hdeco, but can be used independently if the .HPROFIL object exists.

1	sigplot(mat = .HPROFIL, column = 5, sigcol = 7, tit = "Title of Graph", xtit = "Step", ytit = "Uncertainty Coefficient", override = FALSE, lowy = 0, highy = 1)

`mat`	The required .HPROFIL matrix output by the t.hdeco function (or a comparable matrix object).
`column`	Identifies the column (integer) with the data to be plotted (e.g., 5 is the uncertainty coefficient - UNC).
`sigcol`	Identifies the column (integer) with the significance value for the G-squared statistic.
`tit`	A text string identifying the title for the plot.
`xtit`	A text string used for the x-axis label.
`ytit`	A text string used for the y-axis label.
`override`	Boolean flag to override the minimum and maximum y-axis values.
`lowy`	If override is TRUE, then the new low y-axis value.
`highy`	If override is TRUE, then the new high y-axis value.

The graphical result is provided in the graphics window.

Tarmo K. Remmel

1 2	data(HPROFIL) sigplot(mat = HPROFIL, column = 5, sigcol = 7, tit = "Title of Graph", xtit = "Step", ytit = "Uncertainty Coefficient", override = FALSE, lowy = 0, highy = 1)