11/30/2021»»Tuesday

How To Install Spss Custom Tables

11/30/2021
  1. How To Install Spss Custom Tables Excel
  2. How To Install Process Spss

SPSS Custom Dialogs in Menu Navigate to the.spd file. Clicking Open will launch the installer window. In some cases, SPSS may throw an SPSS Error Saving Dialog Specification when you first install a custom dialog. Don't let this put you off. Troubleshooting this common error is not hard and needs to be done only once; subsequent custom dialogs will install more smoothly. Uninstalling SPSS Custom Dialogs. SPSS Custom Tables includes capabilities to help you: Get in-depth analyses so you can understand your data better and enhance reports for decision makers. Preview tables as you build them, ensuring that you create polished, accurate reports in less time. Customize table layout and appearance to communicate results clearly and accurately. SPSS is now part of IBM. Starting Version 18, SPSS has a different name: PASW Statistics 18. PASW stands for Predictive Analytics SoftWare. The dialog interface remains the same. There are a few new features in PASW Statistics 18 including additional nonparametric tests and custom tables for categorical analysis. SPSS: Multiple response tables (via Custom tables) (SPSS 24) (created by P. Stikker) Creating a multiple response set In order to create a frequency table or a cross table from a question with multiple answers, you first need to create a multiple response set.

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

TablesInstall

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 Spss Custom Tables Excel

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.

How To Install Process Spss

************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.