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