MDGroup in Custom Tables

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MDGroup in Custom Tables

Manoj Arora (DEL/Abacus Analytics)

Hi,

 

I have five variables for which I have made a MDGROUP and run a table and the following result has come. If I take the frequency the result is different. Is it possible in custom tables to get the same result as of frequency. What custom table does it if it does not find value given in MDGROUP in any of the case, it drops that case.

 

Please help.

 

Regards

 

 

 

Custom Tables

 

 

Notes

Contents

Output Created

09-Jul-2014 16:54:54

Comments

 

Input

Data

 

Active Dataset

DataSet4

Filter

<none>

Weight

<none>

Split File

<none>

N of Rows in Working Data File

335

Syntax

CTABLES

  /VLABELS VARIABLES=$q3 ct DISPLAY=LABEL

  /TABLE $q3 [COUNT F40.0, COLPCT.COUNT PCT40.1, TABLEPCT.COUNT PCT40.1, COLPCT.TOTALN PCT40.1, COLPCT.VALIDN PCT40.1] BY ct [C]

  /SLABELS POSITION=ROW

  /CATEGORIES VARIABLES=$q3  EMPTY=INCLUDE

  /CATEGORIES VARIABLES=ct ORDER=A KEY=VALUE EMPTY=INCLUDE.

 

Resources

Processor Time

0:00:00.000

Elapsed Time

0:00:00.000

 

 

[DataSet4] C:\projects\csmm\171106753\Data\171106753~fnl.sav

 

 

 

 

 

 

 

 

 

 

1.00 Total

Right %age

Q 3

nq3_1

Count

245

 

Column N %

84.5%

 

Table N %

84.5%

 

Column Total N %

73.1%

74.0%

Column Valid N %

84.5%

 

nq3_2

Count

189

 

Column N %

65.2%

 

Table N %

65.2%

 

Column Total N %

56.4%

57.4%

Column Valid N %

65.2%

 

nq3_3

Count

212

 

Column N %

73.1%

 

Table N %

73.1%

 

Column Total N %

63.3%

63.5%

Column Valid N %

73.1%

 

nq3_4

Count

221

 

Column N %

76.2%

 

Table N %

76.2%

 

Column Total N %

66.0%

66.2%

Column Valid N %

76.2%

 

nq3_5

Count

197

 

Column N %

67.9%

 

Table N %

67.9%

 

Column Total N %

58.8%

58.8%

Column Valid N %

67.9%

 

 

 

Frequencies

 

 

Notes

Contents

Output Created

09-Jul-2014 16:55:04

Comments

 

Input

Data

 

Active Dataset

DataSet4

Filter

<none>

Weight

<none>

Split File

<none>

N of Rows in Working Data File

335

Missing Value Handling

Definition of Missing

User-defined missing values are treated as missing.

Cases Used

Statistics are based on all cases with valid data.

Syntax

FREQUENCIES VARIABLES=nq3_1 nq3_2 nq3_3 nq3_4 nq3_5

  /ORDER=ANALYSIS.

 

Resources

Processor Time

0:00:00.000

Elapsed Time

0:00:00.000

 

 

[DataSet4] C:\projects\csmm\171106753\Data\171106753~fnl.sav

 

 

Statistics

 

 

nq3_1

nq3_2

nq3_3

nq3_4

nq3_5

N

Valid

331

329

334

334

335

Missing

4

6

1

1

0

 

 

Frequency Table

 

 

nq3_1

 

 

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

1.00 Top-2

245

73.1

74.0

74.0

2.00 Bot-3

86

25.7

26.0

100.0

Total

331

98.8

100.0

 

Missing

3.00

4

1.2

 

 

Total

335

100.0

 

 

 

 

nq3_2

 

 

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

1.00 Top-2

189

56.4

57.4

57.4

2.00 Bot-3

140

41.8

42.6

100.0

Total

329

98.2

100.0

 

Missing

3.00

6

1.8

 

 

Total

335

100.0

 

 

 

 

nq3_3

 

 

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

1.00 Top-2

212

63.3

63.5

63.5

2.00 Bot-3

122

36.4

36.5

100.0

Total

334

99.7

100.0

 

Missing

3.00

1

.3

 

 

Total

335

100.0

 

 

 

 

nq3_4

 

 

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

1.00 Top-2

221

66.0

66.2

66.2

2.00 Bot-3

113

33.7

33.8

100.0

Total

334

99.7

100.0

 

Missing

3.00

1

.3

 

 

Total

335

100.0

 

 

 

 

nq3_5

 

 

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

1.00 Top-2

197

58.8

58.8

58.8

2.00 Bot-3

138

41.2

41.2

100.0

Total

335

100.0

100.0

 

 

 


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