Workspace Node: 2D Scatterplots with Histograms

Element Name	Description
Variables	Click this button to display a variable selection dialog box, in which you select the variable(s) to be plotted. The selection that you make is then displayed in the area of the dialog box below the Variables button. When you select more than one variable for the regular scatterplot, a sequence of graphs is produced (one for each of the variables).
Intervals for X-Histogram/Intervals for Y-Histogram	Use the options in these group boxes to specify a method of categorization of the values for each of the component histograms. Categorization (or Intervals) is used in two classes of graphs in Statistica: categorized graphs and graphs that include grouping or categorized variables. You can choose from several methods of categorization: Integer mode Unique values Boundaries Categories Codes Note: You can change the number of significant digits that are used when labeling the category levels in the graph by specifying the desired number of digits in the No. of decimals option on the Axis Scale Values tab of the Graph Options dialog box. You can also specify alphanumeric category labels or the equivalent numeric category labels on the graph axes by using the Display text labels as axis values option. Note that you can define up to 1,000 grouping (or categorized) variables in Statistica.
Histogram size	Use the Histogram size box to adjust the size of the component histogram with respect to the size of the graph window (e.g., 30% of the graph window size). Note that the size of the scatterplot will adjust accordingly.

Scatterplot fit	The options in the Scatterplot fit group box apply only to the scatterplot component graph. You can fit either none (select Off) or one of several equations to the data in the scatterplot by selecting one of the predefined functions in this box. Linear Polynomial Logarithmic Exponential Distance Weighted Least Squares Negative Exponential Weighted Least Squares Spline Lowess
Histogram fit	You can superimpose a distribution over the histograms. Select the type of distribution to fit from this list. For more details on fit types, see Fitted Functions for Histograms.
Breaks between columns	Select this check box if you want the histogram columns to be separated from each other. According to common convention, histograms of continuous variables should be displayed with no breaks (the breaks signify discrete values).

Histogram statistics	You can include a variety of statistics as footnotes in the graph by selecting one or more of the statistics in this group box.
Total count	Select this check box to include the total count or number of cases used in creating the histogram.
Shapiro-Wilk test	Select this check box to include the Shapiro-Wilk W statistics for normality and its associated p-value.
Descriptive statistics	Select this check box to include a variety of descriptive statistics including the total count, mean, and standard deviation as well as the minimum and maximum values.
Kolmogorov-Smirnov test	Select this check box to include the Kolmogorov-Smirnov d statistics (for normality), its associated p-value and the Lilliefors statistic.

Scatterplot statistics	You can include a variety of statistics as footnotes in the graph by selecting one or more of the statistics listed in this box.
R square	Select this check box to include the R-square for the plotted variables.
Correlation and p	Select this check box to include the correlation for the plotted variables and its corresponding p-value.
Regression equation	Select this check box to include the regression equation in the plot. Options / C / W. See Common Options.
OK	Click this button to accept all the specifications made in the dialog box and to close it. The results are placed in the Reporting Documents node after running (updating) the project.

Variables

Click this button to display a variable selection dialog box, in which you select the variable(s) to be plotted. The selection that you make is then displayed in the area of the dialog box below the Variables button. When you select more than one variable for the regular scatterplot, a sequence of graphs is produced (one for each of the variables).

Intervals for X-Histogram/Intervals for Y-Histogram

Use the options in these group boxes to specify a method of categorization of the values for each of the component histograms. Categorization (or Intervals) is used in two classes of graphs in Statistica: categorized graphs and graphs that include grouping or categorized variables. You can choose from several methods of categorization:

Integer mode
Unique values
Boundaries
Categories
Codes

Note: You can change the number of significant digits that are used when labeling the category levels in the graph by specifying the desired number of digits in the No. of decimals option on the Axis Scale Values tab of the Graph Options dialog box. You can also specify alphanumeric category labels or the equivalent numeric category labels on the graph axes by using the Display text labels as axis values option. Note that you can define up to 1,000 grouping (or categorized) variables in Statistica.

Histogram size

Use the Histogram size box to adjust the size of the component histogram with respect to the size of the graph window (e.g., 30% of the graph window size). Note that the size of the scatterplot will adjust accordingly.

Scatterplot fit

The options in the Scatterplot fit group box apply only to the scatterplot component graph. You can fit either none (select Off) or one of several equations to the data in the scatterplot by selecting one of the predefined functions in this box.

Linear

Polynomial

Logarithmic

Exponential

Distance Weighted Least Squares

Negative Exponential Weighted Least Squares

Spline

Lowess

Histogram fit

You can superimpose a distribution over the histograms. Select the type of distribution to fit from this list. For more details on fit types, see Fitted Functions for Histograms.

Breaks between columns

Select this check box if you want the histogram columns to be separated from each other. According to common convention, histograms of continuous variables should be displayed with no breaks (the breaks signify discrete values).

Histogram statistics

You can include a variety of statistics as footnotes in the graph by selecting one or more of the statistics in this group box.

Total count

Select this check box to include the total count or number of cases used in creating the histogram.

Shapiro-Wilk test

Select this check box to include the Shapiro-Wilk W statistics for normality and its associated p-value.

Descriptive statistics

Select this check box to include a variety of descriptive statistics including the total count, mean, and standard deviation as well as the minimum and maximum values.

Kolmogorov-Smirnov test

Select this check box to include the Kolmogorov-Smirnov d statistics (for normality), its associated p-value and the Lilliefors statistic.

Scatterplot statistics

You can include a variety of statistics as footnotes in the graph by selecting one or more of the statistics listed in this box.

R square

Select this check box to include the R-square for the plotted variables.

Correlation and p

Select this check box to include the correlation for the plotted variables and its corresponding p-value.

Regression equation

Select this check box to include the regression equation in the plot.

Options / C / W. See Common Options.

OK

Click this button to accept all the specifications made in the dialog box and to close it. The results are placed in the Reporting Documents node after running (updating) the project.

Workspace Node: 2D Scatterplots with Histograms - Advanced Tab