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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. Click
here for more details.
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. |
Statistics
| 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
| 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™) |
|
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