Welcome to Rankster -- Data Ranking Utility App
Rankster User's Guide

Data Set: ##data   /pub/data/bankdeps   -   mobrn00

I. Choose Variables

Choose the numeric variable(s) by which to rank
Choose other (non-rank) variables to keep on output

II. Ranking Options

Rank in ascending order (lowest value gets rank 1)    Rank in descending order (largest value gets rank 1)    Rank both ways: highest value ranks +1, lowest value ranks -1, etc.

Limit output to the top/bottom values (ignored if ranking by more than 1 variable).

Assign ranks within By Groups defined by variables

Assign group ranks using groups (i.e. enter "100" to get percentile ranks, "5" to get quintile ranks, etc.) Leave blank for normal (ungrouped) ranks.

Option for processing ties: Use low value    Use high value    Use mean rank (e.g. tie for 3rd and 4th gets 3.5)

Limit cases to rank (i.e. "filter" the data) based on Universe Size. Do not rank cases where the universe variable (select: ##selectuniverse ) has a value less than .
(This may not make sense when ranking multiple variables).

III. Output Details

The output rank values should be stored As the values of the variables being ranked    In new variables linked to the ones being ranked:   

   If storing rank in a new variable, name it by appending a value of to the name of the variable being ranked.

Check if you want the string specified above to be a prefix instead of a suffix. (E.g. if you want to call it RankTotpop instead of TotpopRank).

Choose Output Report Format:    Plain text    PDF    HTML    no output report wanted.


Internal use only (_debug opt.)

Questions and comments regarding Rankster should be sent via e-mail to Glenn Rice.

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Generated by the Missouri Census Data Center's rankster application, revised &revdate.