This is of course for factored variables and not in general.
prCaAddRefAndStat(
model,
var_order,
add_references,
add_references_pos,
reference_zero_effect,
values,
ds,
desc_column,
desc_args,
use_labels
)list
A regression model fit, i.e. the returned object from your
regression function, or the output from getCrudeAndAdjustedModelData()
The output from the prMapVariable2Name
True if it should use the data set to look for references, otherwise supply the function with a vector with names. Sometimes you want to indicate the reference row for each group. This needs to be just as many as the groups as the order identified. Use NA if you don't want to have a reference for that particular group.
The position where a reference should be added.
Sometimes you don't want the reference to be at the top, for instance
if you have age groups then you may have < 25, 25-39, 40-55, > 55 and
you have the reference to be 25-39 then you should set the reference
list for age_groups as add_references_pos = list(age_groups = 2)
so that you have the second group as the position for the reference.
Used with references, tells if zero effect
is in exponential form, i.e. exp(0) = 1, or in regular format,
i.e. 0 = 0 (can be set to any value)
The values that are to be outputted
The dataset
Add descriptive column to the crude and adjusted table
The description arguments that are to be used for the
the description columns. The options/arguments should be generated by the
caDescribeOpts function.
If the rowname.fn function doesn't change the name then the label should be used instead of the name, that is if there is a label and it isn't a factor.
Other printCrudeAndAdjusted functions:
prCaAddReference(),
prCaAddUserReferences(),
prCaGetImputationCols(),
prCaGetRowname(),
prCaGetVnStats(),
prCaPrepareCrudeAndAdjusted(),
prCaReorderReferenceDescribe(),
prCaReorder(),
prCaSelectAndOrderVars(),
prCaSetRownames()