| Variables
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Click this button to display a variable selection dialog box, in which you select the variable(s) to be plotted.
When you select more than one variable for a
Regular Graph type, a sequence of graphs is produced (one for each variable). Note that you can select up to 300 variables at a time.
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| Graph type
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Select the type of 2D histogram to be plotted. Click the following links for a brief description of that type of graph.
 Regular
 Multiple
 Double-Y
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| Showing Type
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Select the display of the histogram.
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| Standard
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Select
Standard to display the graph as a standard 2D histogram.
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| Hanging Bars
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Select
Hanging Bars to display the graph as a Hanging Bars histogram.
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| Cumulative
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Select
Cumulative in order for the consecutive columns in the resulting histogram to represent cumulative frequencies (such as the summation of all preceding categories, up to and including the current category) instead of the raw data.
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| Stacked
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Select
Stacked to display the graph as a stacked histogram.
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| Pareto chart
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Select this check box to sort the data in Pareto chart form.
Note: this check box is available only when the Graph type option is set to Regular.
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| Breaks between columns
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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).
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| Show percentages
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Select this check box to display percentages (relative frequencies) at the top of each column in the histogram.
Percentages can be displayed for all types of histograms (Regular,
Double-Y,
Multiple, and
Hanging Bars).
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| Show Counts
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Select this check box to display counts (frequencies) used in creating the histogram at the top of each column in the histogram.
Percentages can be displayed for all types of histograms.
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| Y axis
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This box is available only if
Regular is selected as the
Graph type.
You can select different types of labels or scales for the vertical (y) axes in the histogram from the Y axis box. The available options are:
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| N
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When you select N, the histogram will show only the respective frequency counts for the left y-axis labels.
Note: you can select the
Show percentages check box to display relative frequencies (percentages) at the top of each column in the histogram.
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| %
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When you select %, the histogram will show the respective relative frequency counts (percentages) for the left y-axis labels.
Note: the values that will be displayed in the Graph Data Editor (and that are actually plotted in the histogram) will still be frequency counts; however, appropriate text labels (percentage values) are used as Scale Values for the left y-axis. Therefore, you can easily later change to frequency counts for the y-axis labels. Also note that in order to change the step sizes (increments) for the y-axis, you need to change the respective Step in the Graph Options dialog box -
Axis: Major Units tab (to adjust the horizontal grid lines) as well as the
Skip values check box in the
Graph Options dialog box -
Axis: Scale Values tab to display the respective percentage labels at the desired intervals (see the description of Scale Values and Scaling for additional details).
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| % & N
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If you select
% & N, the histogram will show the relative frequency counts (percentages) as labels for the left y-axis, and the frequency counts as labels for the right y-axis.
Refer to the description of the previous option for a description of percentage labels for the y-axis in histograms.
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| N & %
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If you select
N & %, the histogram will show the frequency counts as labels for the left y-axis, and the relative frequency counts (percentages) as labels for the right y-axis.
This is the reverse labeling as described in the previous paragraph.
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| Fit type
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You can superimpose a distribution over the histogram.
Select the type of distribution to fit from this list. For more details on fit types, see Fitted Functions for Histograms.
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| Intervals
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Use the options in this group box to specify a method of categorization of the values in the histogram for the selected variable(s).
Each of the methods is discussed in Method of Categorization and/or Intervals, or click on a link below:
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| Integer mode
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| Auto check box selected
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The Auto check box is used to automatically identify the most informative method of categorization.
The program will identify from the data the appropriate boundaries and step sizes for the bins that will yield the most easily interpretable graph. This method of categorization is also referred to as neat scaling: Neat categories in this context means that Statistica chooses a step size with the only significant digit being either 1, 2, or 5 (such as the Auto check box to create categorizations (binning) as described in the next paragraph.
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| Auto check box not selected
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When this check box is cleared, Statistica truncates (not rounds) each encountered value of the selected variable to an integer value, and creates one category for each integer.
For example, all values 2.1, 2.4, 2.5, 2.8, ... would be truncated to the integer value 2, and counted in that (integer) category. If the nature of the data is continuous (with fractional values), in order to obtain a detailed picture of the distribution of the respective variables, accept the default Auto option (leave the check box selected), which causes values to be binned (assigned to categories) as described in the previous paragraph.
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| Unique values
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| Unsorted
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Select the Unsorted option button to plot the categories in the same sequence as they occur in the data set.
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| Asc.
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Select the Asc option button to plot the categories in ascending order.
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| Desc.
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Select the Desc option button to plot the categories in descending order.
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| Change Variable
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For multivariate histograms (such as
Double-Y), the categorization is based on the values of the first variable selected in the list.
For example, if you first select a grouping variable with two codes (1 and 2), the categorization would be based on those two values of the grouping variable. If you select Integer mode, the program would scan this grouping variable, select all of the integer values (which in this variable are the values 1 and 2), and base the frequencies of the rest of the selected variables on those integer values. Click the Change Variable button to select a different variable for the histogram.
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| Statistics
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You can include a variety of statistics as footnotes in the graph by selecting one or more of the check boxes in this group box.
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| Shapiro-Wilk test
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Select this check box to include the Shapiro-Wilk W statistics for normality and its associated p-value.
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| Descriptive statistics
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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.
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| Total count
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Select this check box to include the total count or number of cases used in creating the histogram.
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| Kolmogorov-Smirnov test
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Select this check box to include the Kolmogorov-Smirnov d statistics (for normality), its associated p-value, and the Lilliefors statistic.
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| Options / C / W
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See Common Options.
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| OK
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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 workspace node after running (updating) the project.
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