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  <channel>
    <title>topic Re: Aggregate some variables and keep others same in New SAS User</title>
    <link>https://communities.sas.com/t5/New-SAS-User/Aggregate-some-variables-and-keep-others-same/m-p/515792#M3007</link>
    <description>&lt;P&gt;group by id,age,sex&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;
data have;
input ID      Date          Workout_mins         Age        Sex      Drink ;
cards;
1        1                20                           36           1            0       
1        2                15                           36           1            1      
1        3                 0                            36           1            0      
1        4                 0                            36           1            1
1        5                95                           36           1            1
1        6                60                           36           1            1
1        7                60                           36           1            0
2        1                 0                            25           0            0
2        2                10                           25           0            0
;

proc sql;
create table want as
select id,age,sex,sum(workout_mins) as workout_mins_sum
from have
group by id,age,sex;
quit;&lt;/CODE&gt;&lt;/PRE&gt;</description>
    <pubDate>Sun, 25 Nov 2018 17:08:27 GMT</pubDate>
    <dc:creator>novinosrin</dc:creator>
    <dc:date>2018-11-25T17:08:27Z</dc:date>
    <item>
      <title>Aggregate some variables and keep others same</title>
      <link>https://communities.sas.com/t5/New-SAS-User/Aggregate-some-variables-and-keep-others-same/m-p/515786#M3004</link>
      <description>&lt;P&gt;Hellow SAS members,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I have a data&amp;nbsp;set with some variables I want to aggregate (workout_mins...) by summarizing them and some variables I want to keep the same&amp;nbsp;(age, sex...). How can I do that?&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;My data is listed like this:&lt;/P&gt;&lt;P&gt;ID&amp;nbsp; &amp;nbsp; &amp;nbsp; Date&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; Workout_mins&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Age&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; Sex&amp;nbsp; &amp;nbsp; &amp;nbsp; Drink&lt;/P&gt;&lt;P&gt;1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 20&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;36&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 0&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;&lt;/P&gt;&lt;P&gt;1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 15&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;36&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp;&amp;nbsp;&lt;/P&gt;&lt;P&gt;1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 3&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;0&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 36&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 0&amp;nbsp; &amp;nbsp; &amp;nbsp;&amp;nbsp;&lt;/P&gt;&lt;P&gt;1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 4&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;0&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 36&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 1&lt;/P&gt;&lt;P&gt;1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 5&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 95&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;36&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 1&lt;/P&gt;&lt;P&gt;1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 6&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 60&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;36&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 1&lt;/P&gt;&lt;P&gt;1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 7&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 60&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;36&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 0&lt;/P&gt;&lt;P&gt;2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;0&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 25&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;0&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 0&lt;/P&gt;&lt;P&gt;2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 10&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;25&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;0&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 0&lt;/P&gt;&lt;P&gt;....&lt;/P&gt;</description>
      <pubDate>Sun, 25 Nov 2018 16:29:01 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/Aggregate-some-variables-and-keep-others-same/m-p/515786#M3004</guid>
      <dc:creator>mkt_apprentice</dc:creator>
      <dc:date>2018-11-25T16:29:01Z</dc:date>
    </item>
    <item>
      <title>Re: Aggregate some variables and keep others same</title>
      <link>https://communities.sas.com/t5/New-SAS-User/Aggregate-some-variables-and-keep-others-same/m-p/515789#M3005</link>
      <description>&lt;P&gt;What summarization?&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&amp;nbsp;by summarizing them&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;and expected output?&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Sun, 25 Nov 2018 16:54:46 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/Aggregate-some-variables-and-keep-others-same/m-p/515789#M3005</guid>
      <dc:creator>novinosrin</dc:creator>
      <dc:date>2018-11-25T16:54:46Z</dc:date>
    </item>
    <item>
      <title>Re: Aggregate some variables and keep others same</title>
      <link>https://communities.sas.com/t5/New-SAS-User/Aggregate-some-variables-and-keep-others-same/m-p/515791#M3006</link>
      <description>&lt;P&gt;Hi novinosrin,&lt;/P&gt;&lt;P&gt;I want to sum workout_mins while keeping other variables such as age, sex same. The expected out is like this:&amp;nbsp;&lt;/P&gt;&lt;P&gt;ID&amp;nbsp; &amp;nbsp; &amp;nbsp; workout_mins_sum&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; age&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; sex&lt;/P&gt;&lt;P&gt;...&lt;/P&gt;</description>
      <pubDate>Sun, 25 Nov 2018 16:57:03 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/Aggregate-some-variables-and-keep-others-same/m-p/515791#M3006</guid>
      <dc:creator>mkt_apprentice</dc:creator>
      <dc:date>2018-11-25T16:57:03Z</dc:date>
    </item>
    <item>
      <title>Re: Aggregate some variables and keep others same</title>
      <link>https://communities.sas.com/t5/New-SAS-User/Aggregate-some-variables-and-keep-others-same/m-p/515792#M3007</link>
      <description>&lt;P&gt;group by id,age,sex&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;
data have;
input ID      Date          Workout_mins         Age        Sex      Drink ;
cards;
1        1                20                           36           1            0       
1        2                15                           36           1            1      
1        3                 0                            36           1            0      
1        4                 0                            36           1            1
1        5                95                           36           1            1
1        6                60                           36           1            1
1        7                60                           36           1            0
2        1                 0                            25           0            0
2        2                10                           25           0            0
;

proc sql;
create table want as
select id,age,sex,sum(workout_mins) as workout_mins_sum
from have
group by id,age,sex;
quit;&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Sun, 25 Nov 2018 17:08:27 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/Aggregate-some-variables-and-keep-others-same/m-p/515792#M3007</guid>
      <dc:creator>novinosrin</dc:creator>
      <dc:date>2018-11-25T17:08:27Z</dc:date>
    </item>
    <item>
      <title>Re: Aggregate some variables and keep others same</title>
      <link>https://communities.sas.com/t5/New-SAS-User/Aggregate-some-variables-and-keep-others-same/m-p/515793#M3008</link>
      <description>&lt;P&gt;so does Date which may or may not be a real date has no impact on you summary&lt;/P&gt;
&lt;P&gt;and does drink have anything to do in the summary?&lt;/P&gt;
&lt;P&gt;If the clients age changes does your summary line change do we keep summing based on ID?&lt;/P&gt;</description>
      <pubDate>Sun, 25 Nov 2018 17:12:47 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/Aggregate-some-variables-and-keep-others-same/m-p/515793#M3008</guid>
      <dc:creator>VDD</dc:creator>
      <dc:date>2018-11-25T17:12:47Z</dc:date>
    </item>
    <item>
      <title>Re: Aggregate some variables and keep others same</title>
      <link>https://communities.sas.com/t5/New-SAS-User/Aggregate-some-variables-and-keep-others-same/m-p/515795#M3009</link>
      <description>&lt;P&gt;Date&amp;nbsp;has a value fixed like that (probably date order). Drink is a dummy variable if the person drinks on specific day, but I am not sure how to use it in my analysis now &lt;span class="lia-unicode-emoji" title=":disappointed_face:"&gt;😞&lt;/span&gt; Right now I think age of clients stays the same&lt;/P&gt;</description>
      <pubDate>Sun, 25 Nov 2018 17:16:13 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/Aggregate-some-variables-and-keep-others-same/m-p/515795#M3009</guid>
      <dc:creator>mkt_apprentice</dc:creator>
      <dc:date>2018-11-25T17:16:13Z</dc:date>
    </item>
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