🚀 go-pugleaf

There has been interest expressed within the group for statistical tools.
Here is one (UNIX/STAT) that we have had for sometime and for which CSRI
recently purchased a new upgrade (version 5.4).

This message is also intended to solicit comments about what people want in
a statistical package.  If you have any views or preferences, or are aware
of any statistical tool that you think is really good and that we should
consider getting, VOICE your opinion.

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For those unfamiliar with this package, it is a set of statistical tools
and data manipulation tools written by Gary Perlman.  Our previous version
was something like 5.1/5.2.  These are provided AS IS with no warranty
expressed or implied.

This new version is now installed in /local/bin/unixstat.  Here is a
synopsis of the package.

Data Manipulation Programs:

     abut      join data files beside each other
     colex     column extraction/formatting
     dm        conditional data extraction/transformation
     dsort     multiple key data sorting filter
     linex     line extraction
     maketrix  create matrix format file from free-format input
     perm      permute line order randomly, numerically, alphabetically
     probdist  probability distribution functions
     ranksort  convert data to ranks
     repeat    repeat strings or lines in files
     reverse   reverse lines, columns, or characters
     series    generate an additive series of numbers
     transpose transpose matrix format input
     validata  verify data file consistency

Data Analysis Programs:

     anova     multi-factor analysis of variance
     calc      interactive algebraic modeling calculator
     contab    contingency tables and chi-square
     desc      descriptions, histograms, frequency tables
     dprime    signal detection d' and beta calculations
     features  tabulate features of items
     oneway    one-way anova/t-test with error-bar plots
     pair      paired data statistics, regression, scatterplots
     rankind   rank order analysis for independent conditions
     rankrel   rank order analysis for related conditions
     regress   multiple linear regression and correlation
     stats     simple summary statistics
     ts        time series analysis and plots

Alison