{smcl}
{* 18May2009}{...}
{cmd:help wfex_miss}: Working with missing values
{hline}

{title:List of examples}

    1. Create indicator of cases without missing values in a set of variables.
    2. Select cases if specific variables are missing or not missing.
    3. Create indicator if any of a set of variables are missing.
    4. Summarize missing data in a dataset.

{title:1. Create indicator of cases without missing values in a set of variables}

* create variable notmissing to indicate no missing values for a set of variables
mark notmissing
label var notmissing "No missing in <set-of-variables>?"

* notmissing is 1 if no missing in <set-of-variables>
markout notmissing <set-of-variables>

* label values
label def notmissing 0 0_missing 1 1_nomiss
label val notmissing notmissing
tab notmissing, missing

* keep cases where no missing on <set-of-variables>
keep if notmissing

{title:2. Select cases if specific variables are missing or not missing}

Note: Add your variable name for <var1> and <var2>

{bf:2a. Select cases with missing values for <var1>}

keep if missing(<var1>)

{bf:2b. Select cases that do not have missing values for <var1>}

keep if !missing(<var1>)

{bf:2c. Select cases that do not have missing values for <var1> or <var2>}

keep if !missing(<var1>) & !missing(<var2>)

{title:3. Create indiator if any of a set of variables are missing}

gen ismiss = miss(<var1>,<var2>,<var3>,...<varK>)
label var ismiss: Are any of <var1> to <varK> missing?
label def ismiss 0 0_nomiss 1 1_somemiss
label val ismiss ismiss

{title:4. Summarize missing data in dataset}

misschk

{p}For details, {cmd:help }{helpb misschk}. {cmd:misshck} is part of the SPOST package.

{p2colset 5 12 12 2}
{title:Also see}

    Chapter _ of the {it:Workflow} book; {helpb misschk}; {helpb mark}; {helpb wf:Workflow}
INCLUDE help wf_footer