spss

This question was migrated from Cross Validated because it can be answered on Stack Overflow. Migrated 3 years ago . UPDATE: 4/28 I found the proper syntax to import my centriod factor extraction into SPSS and rotate it. Because of limitations in SPSS on what subcommands can be used when reading a matrix in via MATRIX IN (...), I still need to find a way to get the FSCORE and save the new variable (/SAVE REG(ALL) ), but that is another post. What I believe to be the correct syntax is below, along with the proper setup of the matrix. Please correct me if I'm wrong! ORIGINAL POST: I've been

In R there is the source function where you can source an R script from another R script. I want to be able to do the same in SPSS. How can I source an SPSS syntax file from another SPSS syntax file? Updated Following @AndyW's comments. There is the INSERT and INCLUDE commands. INSERT is newer and more versatile than INCLUDE . See documentation on INSERT here . The following is the basic syntax template: INSERT FILE='file specification' [SYNTAX = {INTERACTIVE*}] {BATCH } [ERROR = {CONTINUE*}] {STOP } [CD = {NO*}] {YES} [ENCODING = 'encoding specification'] Thus, the following command can be

I have written a neat Python module that contains some custom SPSS functions for my coworkers to use. However, to use the functionality, they first need to type BEGIN PROGRAM. Import module etc... before actually calling the function. Because most of them aren't tech savvy, I'm looking to make things easier. Now they have to type something like this: BEGIN PROGRAM. import sys sys.path.append("C:/Python scripts") import mymodule mymodule.custom_function('a','c') END PROGRAM. Is there a way I can write some SPSS-macro that will call the functions from my Python module in a single line? Like this

Is there any way to import SPSS dataset into Python, preferably NumPy recarray format? I have looked around but could not find any answer. Joon Maybe this will help: Python reader + writer for spss sav files (Linux, Mac & Windows) http://code.activestate.com/recipes/577811-python-reader-writer-for-spss-sav-files-linux-mac-/ SPSS has an extensive integration with Python, but that is meant to be used with SPSS (now known as IBM SPSS Statistics). There is an SPSS ODBC driver that could be used with Python ODBC support to read a sav file. Option 1 As rkbarney pointed out, there is the Python

I am using SPSS 15 to create several Excel reports which I am then consolidating using an Excel macro. Unfortunately that particular SPSS version produces .xls files that aren't easily readable for Excel 2007 and up. Excel 2003 gobbles those files up just fine, but newer Excel versions display two error messages. First up is "Excel found unreadable content in filename.xls. Do you want to recover the contents of this workbook?". After clicking yes this is followed by "File Error: data may have been lost". Unfortunately these error messages cause my macro to quit at the first file with error

I'm looking to work on a SPSS files (.sav) using pandas . In the absence of the SPSS program, here's what a typical file looks like when converted to .csv: On investigation into what the first two rows signify (I don't know SPSS), it seems that the first row contains the Label s, while the second row contains the VarName s. When I bring the file into pandas thus: import pandas.rpy.common as com def savtocsv(filename): w = com.robj.r('foreign::read.spss("%s", to.data.frame=TRUE)' % filename) w = com.convert_robj(w) return w and then do a head(), the first row (Label) is missing: How can labels