Computed theoretical power for N=100 and N=200 scenarios

Modules/ado/plus/m/misschk.sthlp

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+{smcl}
+{* 22Dec2009}{...}
+{cmd:help misschk}: Help for misschk - 2009-12-22
+{hline}
+{p2colset 4 14 14 2}{...}
+
+{title:Overview}
+
+{p 4 4 2 75}
+The command {cmd:misschk} examines patterns of missing data for a set of variables.
+pattern of missing data.
+
+{title:Syntax}
+
+{p 8 13 2}
+{cmdab:misschk} [{varlist}]
+{ifin}
+{weight}
+[{cmd:,}
+{it:options}]
+            ,   [GENerate(string)]  /// stub for indicator variables
+                [dummy]             /// dummy indicator variables
+                [replace]           /// replace variables if they exist
+                [NONUMber]          /// . in table for missing, not #
+                [NOSort]            /// Don't sort pattern list
+                [help]              /// explain what is going on
+                [SPace]             /// blank rather than _ if not missing
+                [EXTmiss]           //  show extended missing // 1.1.0
+
+{synoptset 15 tabbed}{...}
+{synopthdr}
+{synoptline}
+
+{synopt:{opt ext:miss}}Each type of extended missing values is indicated
+with the letter for that missing value (e.g., {bf:c} for {bf:.c}). By
+default all missing values are treated simply as missing and 
+indicated by a {bf:.}.{p_end}
+
+{synopt:{opt gen:erate(rootname)}}is the root for the variables created with
+information about missing data. If this option is not used,
+temporary variables are created that are deleted when the program is 
+finsihed. The variables created are:
+
+        {it:rootname}{bf:n} is the number of variables from the variable-list for which
+            a given observation has missing data. For example, a value of 5 would
+            mean that that observation had missing data for five of the variables
+            in the list.
+
+        {it:rootname}{bf:which} indicates the pattern of missing values. This is a
+            string variable with a {bf:_} indicating valid data for a variable
+            and a number indicating missing data for that variable. For
+            example, {bf:_____ __8__ _} is the pattern in which there is no
+            missing data for the first seven variables in the variablae
+            list, missing data for the eighth, and no missing data for the
+            ninth through eleventh variable.{p_end}
+
+{synopt:{opt dummy}}requests that dummy variables be created for each 
+variable in the variable list. The dummy variable begins with the 
+stem specified with the {bf:gen()} options, then adds the name of the
+variable. A value of 1 indicates missing data for that case, 0 indicates
+data is not missing. For example, with the options {bf:gen(M_) dummy},
+variables such as M_female M_income would be generated.{p_end}
+
+{synopt:{opt nonumber}}specifies that a variable that has missing cases will be
+indicated by a {bf:.} rather than by a single digit number corresponding
+to the sequence number of that variable. For example, without the 
+{bf:nonumber} option, a missing data pattern might look like
+{bf:_2_4_ 6___} to indicate missing data in the 2nd, 4th and 6th
+variables. With the {bf:nonumber} option, the pattern 
+would be {bf:_._._ .___} .{p_end}
+
+{synopt:{opt nosort}}specifies that the list of patterns of missing data
+should not be sorted with the most common pattern listed first. With
+{bf:nosort}, the patterns are listed according to the pattern, not the
+frequency of missing data.{p_end}
+
+{synopt:{opt replace}}replaces existing variables {it:rootname}{bf:n}
+and {it:rootname}{bf:which} if they already exist.{p_end}
+
+{synopt:{opt space}}indicates that in the summary table a space rather than 
+a {bf:_} will be used to indicate when a variable does not have missing data.{p_end}
+
+
+{synopt:{opt help}}requests a description of each part of the output.{p_end}
+
+{synoptline}
+INCLUDE help spost_footer