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Counting values across multiple columns

Hello,

I am primarily a SPSS user and new to the JMP, and I want to find a similar/identical SPSS function of "count values within cases" in JMP.

I wish to calculate the number of respondents who reported either one of "Not at all," (0) "Slightly," (1) "Somewhat," (2) "Moderatey," (3) and "Extremely" (4) across columns Know_1 to Know_3.

Then, I will create a separate column called "Know_total" that has total counts of respodents with each answer to yield a conclusion some thing like "35 of respondents replied "Moderately" in Knowledge assessment"

 

Because in SPSS, it's a two step process ( Count the number of certain values  > Recode them into desirable ones in another column), and that is why I worded my question in such a way, but please educate me with a quicker option if any.

I do not care whether it's in JSL or not

 

 

 

 

Re: Counting values across multiple columns

You are referencing your dataset named "New" with a variable New.  However the variable doesn't point to anything.  This should fix things:

dt1 = data table("New");

dt2 = dt1 << Stack(
 columns( :Know_1, :Know_2, :Know_3 ),
 Source Label Column( "Label" ),
 Stacked Data Column( "Data" )
);

Re: Counting values across multiple columns

Hello, pmroz

 

Right, but then when I tried with the name of my dataset ("New"), the script didn't work (more like nothing happened T.T),

and I just assumed all sequences of scripts were needed somehow and perhaps the first sequence of the script had something to do with it...

Do you mind picking what did I do wrong here? 

 

 dt2 <SPAN class="token operator">=</SPAN> New <SPAN class="token operator"><</SPAN><SPAN class="token operator"><</SPAN> Stack<SPAN class="token punctuation">(</SPAN>
 columns<SPAN class="token punctuation">(</SPAN> <SPAN class="token punctuation">:</SPAN>Know_1<SPAN class="token punctuation">,</SPAN> <SPAN class="token punctuation">:</SPAN>Know_2<SPAN class="token punctuation">,</SPAN> <SPAN class="token punctuation">:</SPAN>Know_3 <SPAN class="token punctuation">)</SPAN><SPAN class="token punctuation">,</SPAN>
 Source Label <SPAN class="token function">Column</SPAN><SPAN class="token punctuation">(</SPAN> <SPAN class="token string">"Label"</SPAN> <SPAN class="token punctuation">)</SPAN><SPAN class="token punctuation">,</SPAN>
 Stacked Data <SPAN class="token function">Column</SPAN><SPAN class="token punctuation">(</SPAN> <SPAN class="token string">"Data"</SPAN> <SPAN class="token punctuation">)</SPAN>
<SPAN class="token punctuation">)</SPAN><SPAN class="token punctuation">;</SPAN>

dt2 <SPAN class="token operator"><</SPAN><SPAN class="token operator"><</SPAN> <SPAN class="token function">New Column</SPAN><SPAN class="token punctuation">(</SPAN> <SPAN class="token string">"Value"</SPAN><SPAN class="token punctuation">,</SPAN> Character<SPAN class="token punctuation">,</SPAN> <SPAN class="token string">"Nominal"</SPAN><SPAN class="token punctuation">,</SPAN> 
  Formula<SPAN class="token punctuation">(</SPAN> 
   <SPAN class="token function">If</SPAN><SPAN class="token punctuation">(</SPAN> <SPAN class="token punctuation">:</SPAN>Data <SPAN class="token operator">==</SPAN> <SPAN class="token number">0</SPAN><SPAN class="token punctuation">,</SPAN> <SPAN class="token string">"Not at all"</SPAN><SPAN class="token punctuation">,</SPAN>
    <SPAN class="token punctuation">:</SPAN>Data <SPAN class="token operator">==</SPAN> <SPAN class="token number">1</SPAN><SPAN class="token punctuation">,</SPAN> <SPAN class="token string">"Slightly"</SPAN><SPAN class="token punctuation">,</SPAN>
    <SPAN class="token punctuation">:</SPAN>Data <SPAN class="token operator">==</SPAN> <SPAN class="token number">2</SPAN><SPAN class="token punctuation">,</SPAN> <SPAN class="token string">"Somewhat"</SPAN><SPAN class="token punctuation">,</SPAN>
    <SPAN class="token punctuation">:</SPAN>Data <SPAN class="token operator">==</SPAN> <SPAN class="token number">3</SPAN><SPAN class="token punctuation">,</SPAN> <SPAN class="token string">"Moderately"</SPAN><SPAN class="token punctuation">,</SPAN>
    <SPAN class="token punctuation">:</SPAN>Data <SPAN class="token operator">==</SPAN> <SPAN class="token number">4</SPAN><SPAN class="token punctuation">,</SPAN> <SPAN class="token string">"Extremely"</SPAN>
   <SPAN class="token punctuation">)</SPAN>
  <SPAN class="token punctuation">)</SPAN>
 <SPAN class="token punctuation">)</SPAN><SPAN class="token punctuation">;</SPAN>

dtab <SPAN class="token operator">=</SPAN> dt2 <SPAN class="token operator"><</SPAN><SPAN class="token operator"><</SPAN> Tabulate<SPAN class="token punctuation">(</SPAN>
 <SPAN class="token function">Show</SPAN> Control Panel<SPAN class="token punctuation">(</SPAN> <SPAN class="token number">0</SPAN> <SPAN class="token punctuation">)</SPAN><SPAN class="token punctuation">,</SPAN>
 <SPAN class="token function">Add</SPAN> Table<SPAN class="token punctuation">(</SPAN> <SPAN class="token function">Row</SPAN> Table<SPAN class="token punctuation">(</SPAN> Grouping Columns<SPAN class="token punctuation">(</SPAN> <SPAN class="token punctuation">:</SPAN>Value <SPAN class="token punctuation">)</SPAN> <SPAN class="token punctuation">)</SPAN> <SPAN class="token punctuation">)</SPAN>
<SPAN class="token punctuation">)</SPAN><SPAN class="token punctuation">;</SPAN>

 

 

 

Thank you

Re: Counting values across multiple columns

We were just creating dummy tables, and adding values with the SET VALUES command.  I expect your data is already present in your tables?

Re: Counting values across multiple columns

 

Hello pmroz and ian_jmp thank you for the prompt responses!
I have just one more question about the Set Values ([]).
I have total 3,465 rows and it would look like
dt1 = New Table( "", Add Rows( 3,465 ),
...?
Thus, I understand in the script you provided, Set values are the numerical values from row 1 to row 6, and with the change of row numbers, set values script would change as well,
but I do not get what it does...sorry I am not familar with JSL. 
 

Re: Counting values across multiple columns

You could also consider using the Categorical platform which is very functional. The code below reporoduces the example above:

NamesDefaultToHere(1);
// Test data with 'Value Labels'
dt = New Table( "Test",
    Add Rows( 6 ),
    New Column( "Know_1",
     Numeric,
     "Ordinal",
     Format( "Best", 12 ),
     Value Labels(
      {0 = "Not at all", 1 = "Slightly", 2 = "Somewhat", 3 = "Moderately", 4 = "Extremely"}
     ),
     Use Value Labels( 1 ),
     Set Values( [2, 1, 2, 3, 4, 2] )
    ),
    New Column( "Know_2",
     Numeric,
     "Ordinal",
     Format( "Best", 12 ),
     Value Labels(
      {0 = "Not at all", 1 = "Slightly", 2 = "Somewhat", 3 = "Moderately", 4 = "Extremely"}
     ),
     Use Value Labels( 1 ),
     Set Values( [2, 1, 2, 4, 2, 3] )
    ),
    New Column( "Know_3",
     Numeric,
     "Ordinal",
     Format( "Best", 12 ),
     Value Labels(
      {0 = "Not at all", 1 = "Slightly", 2 = "Somewhat", 3 = "Moderately", 4 = "Extremely"}
     ),
     Use Value Labels( 1 ),
     Set Values( [0, 1, 1, 1, 2, 4] )
    )
   );
// Try 'Analyze > Consumer Research > Categorical' with 'Multiple Resoponses'
dt << Categorical( Multiple Response( :Know_1, :Know_2, :Know_3 ), Legend( 0 ) );

Re: Counting values across multiple columns

Here's an approach that uses STACK, a formula column and TABULATE.  I assumed that the original table has numbers for the answers.

 dt1 = New Table( "", Add Rows( 6 ),
 New Column( "Know_1", Numeric, "Ordinal", Format( "Best", 12 ),
  Set Values( [2, 1, 2, 3, 4, 2] )
 ),
 New Column( "Know_2", Numeric, "Ordinal", Format( "Best", 12 ),
  Set Values( [2, 1, 2, 4, 2, 3] )
 ),
 New Column( "Know_3", Numeric, "Ordinal", Format( "Best", 12 ),
  Set Values( [0, 1, 1, 1, 2, 4] )
 )
);

dt2 = dt1 << Stack(
 columns( :Know_1, :Know_2, :Know_3 ),
 Source Label Column( "Label" ),
 Stacked Data Column( "Data" )
);

dt2 << New Column( "Value", Character, "Nominal", 
  Formula( 
   If( :Data == 0, "Not at all",
    :Data == 1, "Slightly",
    :Data == 2, "Somewhat",
    :Data == 3, "Moderately",
    :Data == 4, "Extremely"
   )
  )
 );

dtab = dt2 << Tabulate(
 Show Control Panel( 0 ),
 Add Table( Row Table( Grouping Columns( :Value ) ) )
);