# How To Install Spss Custom Tables

But if you’re putting the table in a report that will be sent to others, you need the SPSS Custom Tables module. By the way, with practice, it takes only a few seconds to make the custom version, and you can use Syntax to further customize the table! Starting in version 27, the Custom Tables module is part of the standard edition. SPSS Modules Available to ECU Faculty. SPSS Base Module. Advanced Statistics - GLM, HLM, LOGLINEAR, and more. Statistics Premium-Includes IBM SPSS Statistics Base, IBM SPSS Advanced Statistics, IBM SPSS Regression, IBM SPSS Custom Tables, IBM SPSS Data Preparation, IBM SPSS Missing Values, IBM SPSS Forecasting, IBM SPSS Categories, IBM SPSS Decision Trees, IBM SPSS Direct. 10 SPSS Step-by-Step 5. SPSS brings the output window to the front displaying two tables and the clustered bar chart you requested. Take a moment to review the contents of the tables and the chart. Notice that the red arrow next to the title Crosstabs corresponds to the Crosstabs icon in the left pane of the window. SPSS Custom Dialog Installation Option 2: If you have more than one SPSS version installed on your computer, right-click the.spd file and select the version in which you'd like to install it. Again, the installation window will pop up after doing so. SPSS Custom Dialogs in Menu.

SPSS doesn't offer an easy way to set decimal places for output tables. This tutorial proposes a very simple tool for setting decimal places in basic output tables after they've been produced. It works best for simple tables such as DESCRIPTIVES, MEANS or CROSSTABS.

## Setting Decimal Places for Output Tables

- First, make sure that the SPSS Python Essentials are installed and run properly.
- Download and double click the SPSS Output Decimals Tool to install it. Note that this is an SPSS custom dialog.
- Run one or more tables, for example with DESCRIPTIVES, MEANS or CROSSTABS. Select one or more of them in the output viewer window.
- Go to UtilitiesSet Decimal Places for Output Tables.
- Choose which columns you'd like to process for all selected tables and the desired number of decimal places.
- Click or and run the syntax.
- Different decimal places for different columns can be set by running the tool repeatedly over the same tables, specifying different columns and decimal places in each run.The syntax example shows how to do this fast.

## Specifying Columns

The diagram below illustrates how to specify columns. Note that the first “columns” don't count; according to SPSS pivot table terminology, these are not columns but row labels.This distinction is important for SPSS table templates (.stt files) as well as the Python scripting used by the tool.

Note that row and column labels are never affected by the Output Decimals tool. Although the diagram shows value labels (“Very bad” and so on) here instead of values, this is not always the case. If values are shown, then decimal places for row and column labels can easily be set by FORMATS.

## SPSS Decimal Places in Output - Alternatives

- Since Python was introduced in SPSS version 14,
**Python scripting**is the way to go for setting decimal places for output tables. The level of control it offers is basically unlimited but most users may find Python scripts hard to write and they require a lot of syntax. The output decimals tool uses Python scripting under the hood. - The classical approach to setting decimal places for output tables is an
**SPSS script**. Note that SPSS scripts (.sbs files) are very different from SPSS syntax (.sps) files. SPSS scripts are considered deprecated since Python scripting was introduced as its successor in SPSS version 14. **SPSS OUTPUT MODIFY**can be used for modifiying basically anything about SPSS output tables including decimal places and text styles. Due to its complexity, however, we find it rather hard to get things done with it. Personally, we strongly prefer simpler tools even if they offer less functionality.

## How To Install Process Spss

## How To Install Spss 21

## SPSS Python Syntax Example

Instead of using the Custom Dialog we just discussed, you may click here for an SPSS Python syntax version of this tool, including some basic tests for our tool.

## Spss Custom Tables Module

**************10. CREATE DATA.**

data list free/id.

begin data

0 0 0 0 0 0 0 0 0 0 0

end data.

do repeat v = v1 to v5.

compute v = rv.binom(5,.5).

end repeat.

**************20. GENERATE SOME TABLES.**

descriptives v1 v2.

means v1 by v2.

crosstabs v1 by v2/cells column.

**************30. DEFINE FUNCTION.**

begin program.

def setOutputDecimals(cols,decs):

import SpssClient

SpssClient.StartClient()

outputDoc = SpssClient.GetDesignatedOutputDoc()

outputItems = outputDoc.GetOutputItems()

for index in range(outputItems.Size()):

outputItem = outputItems.GetItemAt(index)

if outputItem.GetType() SpssClient.OutputItemType.PIVOT and outputItem.IsSelected():

pTable = outputItem.GetSpecificType()

dataCells = pTable.DataCellArray()

for row in range(dataCells.GetNumRows()):

if cols.lower() != 'all':

try:

colList = [int(col) - 1 for col in cols.split('

**,**')] #Because indexed at 0

except:

print 'Invalid column specification. Please specify positive integers separated by commas or the 'ALL' keyword.'

break

else:

colList = range(dataCells.GetNumColumns())

for col in colList:

try:

dataCells.SetHDecDigitsAt(row,col,decs)

except:

pass

SpssClient.StopClient()

end program.

**************40. TEST: SELECT (ONLY) DESCRIPTIVES TABLE IN OUTPUT AND RUN.**

begin program.

setOutputDecimals('2,3',0)

setOutputDecimals('4',1)

setOutputDecimals('5',2)

end program.

**************50. TEST: SELECT (ONLY) MEANS TABLE IN OUTPUT AND RUN.**

begin program.

setOutputDecimals('1',1)

setOutputDecimals('3',2)

end program.

**************60. TEST: SELECT (ONLY) CROSSTAB IN OUTPUT AND RUN.**

begin program.

setOutputDecimals('all',0)

end program.

IBM SPSS Custom Tables is an analytical tool that helps you augment your reports with information your readers need to make more informed decisions.

Use inferential statistics—also known as significance testing—in your tables to perform common analyses: Compare means or proportions for demographic groups, customer segments, time periods, or other categorical variables; and identify trends, changes, or major differences in your data. IBM SPSS Custom Tables includes the following significance tests:

- Chi-square test of independence
- Comparison of column means (
*t*test) - Comparison of column proportions (
*z*test)

You can also choose from a variety of summary statistics, which include everything from simple counts for categorical variables to measures of dispersion. Summary statistics are included for:

## How To Install Spss Custom Tables For Beginners

- Categorical variables
- Multiple response sets
- Scale variables
- Custom total summaries for categorical variables

When your analysis is complete, you can use IBM SPSS Custom Tables to create customized tabular reports suitable for a variety of audiences—including those without a technical background.