This book is a comprehensive guide for BlueSky Statistics that assumes little knowledge of computing or
data analysis. It covers how to:
* Install BlueSky Statistics and determine the settings that
will optimize your workflow.
* Read data from a wide variety of sources including delimited text,
files, Excel files, SAS, SPSS or Stata data sets,
and relational databases.
* Manage your data by creating new variables, transforming or
recoding existing ones, combining data sets from
both the add-cases and add-variables approaches,
and pivoting data sets to become wider, or longer,
to better enable various graphical and analytic methods.
* Create publication-quality graphs including, bar, pie, scatter, line,
box, error bar, and model diagnostic plots.
* Perform various types of analyses to measure the strength
of association and group differences, cluster cases into
similar groups, and predict both class membership
and continuous measures.