[rkward-tracker] [ rkward-Feature Requests-3411262 ] Data management features

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Feature Requests item #3411262, was opened at 2011-09-18 18:15
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Category: None
Group: None
Status: Open
Priority: 5
Private: No
Submitted By: Nobody/Anonymous (nobody)
Assigned to: Nobody/Anonymous (nobody)
Summary: Data management features

Initial Comment:
I think one of the main features RKWard currently lacks is the ability to manage data before actual use, which is a major part of statistical work, This includes the ability to recode levels of a variable : merge levels, cut a numeric variable into classes, create a variable according to conditions on other variables, create a subset of a data set, etc. A good GUI would allow doing simple operations only via checkboxes, lists, buttons, etc., but also complex operations using conditions like var == 1 or things like that. This can be made relatively easy using e.g. the 'recode' package.

An example implementation of data management in R is the Rcommander GUI. From the list of menu items it has, I think the following would be useful in RKward (Rcmdr has the concept of active data set which doesn't need to be kept in RKWard:

    |- Active data set
    |                 |- Subset active data set
    |                 |- Aggregate variables in active data set
    |                 |- Remove row(s) from active data set
    |                 |- Stack variables in active data set
    |                 |- Remove cases with missing data
    |- Manage variables in active data set
                                          |- Recode variable
                                          |- Compute new variable
                                          |- Add observation numbers to data set
                                          |- Standardize variables
                                          |- Convert numeric variables to factors
                                          |- Bin numeric variable
                                          |- Reorder factor levels
                                          |- Define contrasts for a factor


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