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  <channel>
    <title>topic Re: Transpose_count diagnosis in SAS Programming</title>
    <link>https://communities.sas.com/t5/SAS-Programming/Transpose-count-diagnosis/m-p/653003#M196109</link>
    <description>&lt;P&gt;Thank you but I am biased against proc transpose. However I agree that is a simple solution.&lt;/P&gt;</description>
    <pubDate>Wed, 03 Jun 2020 21:10:21 GMT</pubDate>
    <dc:creator>smantha</dc:creator>
    <dc:date>2020-06-03T21:10:21Z</dc:date>
    <item>
      <title>Transpose_count diagnosis</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Transpose-count-diagnosis/m-p/652804#M196049</link>
      <description>&lt;P&gt;Hello!&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I have a dataset that contains diagnosis for individuals. Each individual can appear on multiple rows depending on the number of diagnosis they have.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Data Have;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Ind_ID$&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; DiagCode$&amp;nbsp; &amp;nbsp; &amp;nbsp; Gender$&amp;nbsp; &amp;nbsp; Age$&lt;BR /&gt;1&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; &amp;nbsp; I11&amp;nbsp; &amp;nbsp; &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; &amp;nbsp; &amp;nbsp;55&lt;/P&gt;&lt;P&gt;1&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; &amp;nbsp;C12&amp;nbsp; &amp;nbsp; &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; &amp;nbsp; &amp;nbsp;55&lt;/P&gt;&lt;P&gt;1&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; &amp;nbsp;C01&amp;nbsp; &amp;nbsp; &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; &amp;nbsp; &amp;nbsp;55&lt;/P&gt;&lt;P&gt;2&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; &amp;nbsp;Y11&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 67&amp;nbsp;&lt;/P&gt;&lt;P&gt;2&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; F99&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 67&lt;/P&gt;&lt;P&gt;3&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; &amp;nbsp;X12&amp;nbsp; &amp;nbsp; &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; &amp;nbsp; 92&lt;/P&gt;&lt;P&gt;4&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; &amp;nbsp;C05&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 81&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I want to transpose the dataset and count the number of diagnosis ( var. num_diag) each individual have. I also want to place each diagnosis in separate variable.:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Data want;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Ind_ID$&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; Num_diag&amp;nbsp; &amp;nbsp;DCode1$&amp;nbsp; DCode2$&amp;nbsp;DCode2$&amp;nbsp; Gender$ Age$&lt;BR /&gt;1&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; &amp;nbsp; &amp;nbsp;3&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;I11&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;C12&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;C01&amp;nbsp; &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;55&lt;/P&gt;&lt;P&gt;2&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; &amp;nbsp; &amp;nbsp;2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Y11&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; F99&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; &amp;nbsp;2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;67&lt;/P&gt;&lt;P&gt;3&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; &amp;nbsp; &amp;nbsp;1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;X12&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; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &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;92&lt;/P&gt;&lt;P&gt;4&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; &amp;nbsp; &amp;nbsp;1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;C01&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; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;81&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 03 Jun 2020 10:18:07 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Transpose-count-diagnosis/m-p/652804#M196049</guid>
      <dc:creator>Chris_LK_87</dc:creator>
      <dc:date>2020-06-03T10:18:07Z</dc:date>
    </item>
    <item>
      <title>Re: Transpose_count diagnosis</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Transpose-count-diagnosis/m-p/652947#M196096</link>
      <description>&lt;P&gt;proc sql;&lt;BR /&gt;select count(distinct DiagCode) into: ndiagcode from Data_Have;&lt;BR /&gt;quit;&lt;/P&gt;&lt;P&gt;proc sort data_have;&lt;BR /&gt;by ind_ID;&lt;BR /&gt;run;&lt;/P&gt;&lt;P&gt;data DataWant(Drop=DiagCode);&lt;BR /&gt;length DCode1 -- Dcode&amp;amp;ndiagcode. $8.;&lt;BR /&gt;Set Data_Have;&lt;BR /&gt;by ind_ID;&lt;BR /&gt;array s{} DCode1 -- Dcode&amp;amp;ndiagcode.;&lt;BR /&gt;retain DCode1 -- Dcode&amp;amp;ndiagcode. '' Num_diag 0;&lt;BR /&gt;if first.ind_ID then do;&lt;BR /&gt;Num_diag=0;&lt;BR /&gt;end;&lt;BR /&gt;Num_diag=Num_diag+1;&lt;BR /&gt;s{Num_diag} = DiagCode;&lt;BR /&gt;if last.ind_ID then output;&lt;BR /&gt;run;&lt;/P&gt;</description>
      <pubDate>Wed, 03 Jun 2020 17:24:59 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Transpose-count-diagnosis/m-p/652947#M196096</guid>
      <dc:creator>smantha</dc:creator>
      <dc:date>2020-06-03T17:24:59Z</dc:date>
    </item>
    <item>
      <title>Re: Transpose_count diagnosis</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Transpose-count-diagnosis/m-p/652966#M196100</link>
      <description>&lt;P&gt;I would do it like this:&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;data have;
  input Ind_ID$            DiagCode$      Gender$    Age$;
  cards;
1    I11   1   55
1   C12  1   55
1   C01  1   55
2   Y11   2  67 
2  F99    2  67
3   X12   1  92
4   C05   2  81
;run;

proc sql noprint; /* get max no of Diags for an ID */
  select max(n) into :nCodes trimmed
   from (select count(diagcode) as n from have group by Ind_ID);
quit;

data want;
  do num_diag=1 to &amp;amp;nCodes until(last.Ind_ID);
    set have;
    by Ind_ID;
    array DCodes (*) $8 DCode1-DCode&amp;amp;nCodes;
    DCodes(num_diag)=DiagCode;
    end;
  drop DiagCode;
run;&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Wed, 03 Jun 2020 18:38:19 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Transpose-count-diagnosis/m-p/652966#M196100</guid>
      <dc:creator>s_lassen</dc:creator>
      <dc:date>2020-06-03T18:38:19Z</dc:date>
    </item>
    <item>
      <title>Re: Transpose_count diagnosis</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Transpose-count-diagnosis/m-p/652988#M196105</link>
      <description>&lt;P&gt;Keep it simple:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc transpose data=have prefix=DCode out=temp(drop=_name_);
by ind_id gender age notsorted;
var diagCode;
run;

data want;
set temp;
array dc_ DCode:;
numDiag = dim(dc_) - cmiss(of DCode:);
run;&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Wed, 03 Jun 2020 20:33:22 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Transpose-count-diagnosis/m-p/652988#M196105</guid>
      <dc:creator>PGStats</dc:creator>
      <dc:date>2020-06-03T20:33:22Z</dc:date>
    </item>
    <item>
      <title>Re: Transpose_count diagnosis</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Transpose-count-diagnosis/m-p/653003#M196109</link>
      <description>&lt;P&gt;Thank you but I am biased against proc transpose. However I agree that is a simple solution.&lt;/P&gt;</description>
      <pubDate>Wed, 03 Jun 2020 21:10:21 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Transpose-count-diagnosis/m-p/653003#M196109</guid>
      <dc:creator>smantha</dc:creator>
      <dc:date>2020-06-03T21:10:21Z</dc:date>
    </item>
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