Introducing Oriana Version 2

Oriana ver. 2 has been almost completely rewritten from the ground up. The data handling is greatly improved, including many new data types and methods of data entry and modification. The number of statistical tests has been expanded, with five more single sample distribution tests, two new two-sample tests, and extension of many of the two-sample tests to multi-sample ones. There are also circular-circular and circular-linear correlations. The graphics have been completely rewritten and there are now many more graph types, including stacked versions of the various circular/linear histograms, two-variable circular histograms that can accommodate linear data, new distribution plots and scatterplots.

New Features in Version 2

Data Handling

  • New circular data types:
    • Compass Direction
    • Day of Week
    • Month of Year
    • Week of Year
    • Day of Year
  • New non-circular data types:
    • Date
    • Linear Numerical
    • Label
    • Subgroups
  • More flexible data handling; circular data can have one or more grouping variables added to allow for analysis of subgroups of data, in addition to the old Oriana Ver. 1 method of having sets of observations as separate columns. The data can also be paired with other data (linear, dates, labels, other circular data).
  • Special frequency editing mode allows data to be entered in the form of a frequency table.
  • Variables can be automatically filled with identical, incrementing or random (uniform or von Mises) data.
  • A new file creation wizard aids in the process of setting up new data files.
  • Dates can be summarized into day of week, month of year, week of year or day of year.
  • A Find and Replace facility lets you search for particular data points and make global changes.
  • Data can be sorted.
  • Grouped circular data (data recorded approximately to the nearest interval, such as every 20° or every hour, rather than exactly) are automatically detected and flagged (with user confirmation) so that statistical analyses are adjusted accordingly, where relevant.
  • Missing data capability with pairwise deletion where required.
  • Import and export from/to Excel, Lotus 123, Quattro, dBase, Paradox, ASCII text.
  • Number of cases and variables limited only by available memory and disk space.


  • New basic statistic - median angle
  • New one-sample tests
    • Rao's Spacing Test
    • Chi-Squared
    • V-Test
    • Watson's U²
    • Kuiper's.
      The latter two can be used for tests against both the uniform and von Mises distribution.
  • New two-sample tests
    • Mardia-Watson-Wheeler
    • Watson's U².
  • Multisample tests - The Watson-Wheeler F-test, Chi-squared test and Mardia-Watson-Wheeler can now also be performed as multi-sample tests.
  • Circular-circular and circular-linear correlations can now be calculated.
  • All analyses can be performed on subgroups of data as well as the whole data set.


  • Graphics routines completely rewritten, with clearer and easier to use dialog boxes.
  • Stacked and stepped circular histograms - the bars of the histogram (or wedges of the rose diagram) are divided into segments to reflect the proportions of each subgroup within the data.
  • Stacked raw data plots, with the points representing each data point are colored according to their subgroup.
  • Arrow graphs - a new circular histogram type where an arrow is used for each segment rather than a bar or wedge.
  • The mean can now also be represented by a mean vector, where the length of the arrow reflects the mean vector length (r).
  • Two-variable circular histograms let you incorporate linear or other circular data into the graph in a similar way to stacked histograms. For example, wind speed data can be divided into classes (e.g. 0-10, 10-20, etc.) and represented in the segments of each histogram bar.
  • Two-variable vector plots also incorporate linear data along with your circular data. An arrow or bar are drawn for each case, with the length representing the linear data.
  • A new distribution chart lets you compare your data distribution to a theoretical von Mises distribution (in addition to the uniform distribution plotted by Oriana Ver. 1).
  • Q-Q plot lets you compare the distributions of two circular samples to assess whether they have the same distribution.
  • Scatterplots can be plotted between any circular or linear variable.
  • Graph appearance can be customized (fonts, color of axes, color of background of various sections, series of colors or patterns for stacked diagrams).

User Interface

  • Graphs and results appear in two tabbed notebooks (one for each), with each graph or page of results on separate pages.
  • Inclusion of a notepad allows you to make notes about your analyses. These are saved along with the graphs and results in a desktop file, and can be copied or exported to your word processor.
  • Customizable toolbar lets you add buttons for your most frequently used commands.
  • Optional personalized menus initially only show your most recently used commands (as in Office XP™) 

About KCS

Kovach Computing Services (KCS) was founded in 1993 by Dr. Warren Kovach. The company specializes in the development and marketing of inexpensive and easy-to-use statistical software for scientists, as well as in data analysis consulting.

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