Setup initial file structure
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Modules/ado/plus/p/prtab.hlp
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Modules/ado/plus/p/prtab.hlp
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.-
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help for ^prtab^ - 2Nov2005
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.-
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Table of predicted values/probabilities/rates for regression models
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-------------------------------------------------------------------
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^prtab^ rowvar [colvar [supercolvar]] [^if^ exp] [^in^ range],
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[^by(^superrowvar^)^ ^x(^variables_and_values^)^ ^r^est^(^stat^)^
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^o^utcome^(^string^)^ ^b^rief ^noba^se ^nol^abel ^novar^lbl
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^con^ditional ^a^ll]
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where
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^rowvar^, ^colvar^, ^supercolvar^, and ^superrowvar^ are independent variables
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in the previous estimation.
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^variables_and_values^ is an alternating list of variables and either
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numeric values or mean, median, min, max, upper, lower, previous
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^stat^ is either mean, median, min, max, upper, lower, previous, grmean
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(group mean), grmedian, grmin, grmax
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Description
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-----------
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After estimating a regression model, ^prtab^ presents a one- to four-way table
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of the predicted values (probabilities, rate) for different combinations of
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values of independent variable.
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The command works with cloglog, cnreg, intreg, logit, mlogit, mprobit, nbreg,
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ologit, oprobit, poisson, probit, regress, slogit, tobit, zinb, zip, ztnb,
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and ztp.
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Options
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-------
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^by(superrowvar)^ specifies numeric variable to be treated as superrow. Only
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one variable is allowed.
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^x()^ sets the values of independent variables for calculating predicted
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values. The list must alternate variable names and values. The values
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may be either numeric values or can be mean, median, min, max, previous,
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upper, or lower. The latter cannot be used if rest() specifies a group
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summary statistic (e.g., grmean).
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^rest()^ sets the independent variables not specified in x() to their ^mean^
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(default), ^minimum^, ^maximum^, ^median^ when calculating predicted values.
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^grmean^ sets these independent variables to the mean conditional on the
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variables and values specified in x(); ^grmedian^, ^grmax^, and ^grmin^ can
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also be used. If ^prvalue^ has already been run after the last estimate,
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^previous^ will set unspecified variables to their prior values. For
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models other than mlogit, ^upper^ and ^lower^ can be used to set independent
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variables to their minimum or maximum depending on which will yield the
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upper or lower extreme predicted value.
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^outcome()^ presents results for the specified outcome. For ordered models or
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mlogit, the default is to provide results for all outcomes (each one in a
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separate table); for count models, the default is to present changes in
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the predicted rate.
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^conditional^ for -ztp- and -ztnb-, table with contain conditional predictions
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rather than the default unconditional predictions.
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^all^ specifies that any calculations of means, medians, etc., should use
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the entire sample instead of the sample used to estimate the model.
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^brief^ and ^nobase^ suppress the base values of x in the output.
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^novallbl^ causes the numeric codes to be displayed rather than value labels.
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^nolabel^ causes the variable name to be displayed rather than the variable
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label.
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Examples
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--------
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^. probit faculty female fellow phd mcit3 mnas^
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^. prtab female fellow mnas^
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^. ologit jobclass female fellow pub1 phd^
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^. prtab female fellow, x(phd=min)^
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^. poisson pub1 female fellow phd enrol^
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^. prtab female fellow^
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^. prtab female fellow, outcome(0)^
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.-
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Authors: J. Scott Long and Jeremy Freese
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www.indiana.edu/~jslsoc/spost.htm
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spostsup@@indiana.edu
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