Stat/Transfer provides fast, reliable, and convenient data transfer between statistical packages, databases, and spreadsheets for thousands of users worldwide. Stat/Transfer makes the job easy because it knows about statistical data – it handles missing data, value and variable labels, and all of the other small details, allowing you to move as much information as possible from one file format to another.
Stat/Transfer provides an easy-to-use menu interface and a powerful batch facility. Whether you are moving a simple table from Excel to SAS or moving megabytes of survey data between statistical packages, it will save you time and money.
Tiedot
What is Stat/Transfer?
Accurate
Stat/Transfer moves your data from one program to another with no loss of precision while producing the smallest datasets possible. Your metadata – value labels, variable labels and missing values – are accurately and effortlessly transformed.
Fast
Most transfer operations take a few seconds and a few mouse clicks. Of course, you could use other tools to do what Stat/Transfer does, but it would take you hours, days, and even weeks of effort to duplicate what Stat/Transfer does in a few seconds. What is your time worth?
Easy to Use
Fast transfers aren’t fast if you spend time debating how to set them up. With Stat/Transfer’s intuitive user interface, most transfers can be performed with only a few mouse clicks. For more complicated operations, context-sensitive help is a click away. It is designed from top to bottom to save you valuable time.
Flexible
With Stat/Transfer, you can produce just the output you need. It is easy to select variables, cases, and data types. A variety of options (all with sensible defaults) allow you to tailor your transfer to meet your current and future needs.
Reproducible
Stat/Transfer can automatically produce a log documenting your transfer operations. It can also produce a command processor file that will enable you to re-run the transfer with just a few clicks. Because this program reflects the entire state of your options settings and all other information entered in the user interface, it allows you to document your data transfer thoroughly.
Supported Formats
1-2-3 Files
Stat/Transfer will read files from any version of 1-2-3. It writes Version One files, which can be read by any version of 1-2-3. These were once a universal format for PC software data interchange. Multiple page worksheets are supported on input.
Access (Windows only)
Stat/Transfer will read and write Microsoft Access databases through the most current versions. Although the data are transferred through the Microsoft Access ODBC driver, Access files are treated like a normal Stat/Transfer file type. You can thus choose the file from the normal Open or Close dialog boxes, and you need not be concerned with the process of configuring an ODBC data source for each file.
Stat/Transfer can either read single tables or multiple tables that are joined in an Access “view”. On output, new data may be appended to an existing table, tables can be created in a new file, new tables can be created in an existing file, or existing tables can be overwritten with a new table.
Apache Big Data
Stat/Transfer will read data from the four leading Big Data formats or query engines: Drill, Hive, Impala and Parquet. These transfers rely on the corresponding ODBC drivers.
Apache Parquet
Stat/Transfer has native support for writing datasets to Parquet. These are readable by Apache Spark, Apache Arrow, TAD and the Parquet viewer. Snappy and gzip data compression are both available.
ASCII – Delimited
Stat/Transfer will read and write delimited data files.
When reading delimited files, you can specify that Stat/Transfer automatically determine if the first row contains variable names, or you can manually control how the first row of the data set will be treated. You can also explicitly specify the delimiter character or you can allow the program to sense it automatically. Numerous options are available for controlling how dates are read, and how text fields are quoted. There are numerous options for controlling the character sets in which data are read or written.
Stat/Transfer will also read and write delimited ASCII files with its own Schema file format. This format is extremely convenient to use and allows for the specification of missing values, value labels and variable labels. By writing and then reading back data in this format, you can exert tight control over such things as the order of the variables, their names, labels and their formats.
ASCII / Text – Fixed Format
Stat/Transfer will read and write fixed format files with its own Schema file format. This format is extremely convenient to use and allows for the specification of missing values, value labels and variable labels. Stat/Transfer can also write fixed format data with programs for SAS, SPSS, or Stata. These are extremely useful for archiving data or passing data to your colleagues.
BeyesiaLab
BeysiaLab is an environment for machine learning, simulation analytics and optimization. Stat/Transfer will write sets of ASCII files that are ready to be loaded into this program. In addition to the data, variable and value labels are transferred.
Data Documentation Initiative (DDI) Schemas
The Data Documentation Initiative (DDI) is an open, international effort to provide a standard way of describing data from the social, behavioral and economic sciences. DDI schemas are in XML and can describe metadata across the life-cycle from questionnaire design through analysis. Stat/Transfer supports version 3.1 of the specification and will read and write XML schemas and associated delimited data files.
Data Documentation Initiative (DDI) Codebooks
The DDI codebook specification is a lightweight version or the life-cycle specification that is designed to document individual data sets, such as simple survey data for exchange or archiving. Stat/Transfer will read and write these files along with their associated delimited data.
dBASE, FoxPro (and Compatible) Files
Stat/Transfer reads and writes files that are compatible with all versions of dBASE and compatible programs such as Foxpro, Clipper, and Alpha Four.
Epi Info
Epi Info is a free statistical program developed by the Center for Disease Control. Stat/Transfer supports all versions through Version Six. Because the file format includes enough information for the program to construct a data entry screen, Stat/Transfer uses variable labels, if available, to label the entry fields.
EViews
EViews is a package for economic analysis, forecasting and simulation. Stat/Transfer supports all field types including numeric series and compressed numeric series. Data can be read from any version higher than six.
Excel
Stat/Transfer will read files written by all versions of Microsoft Excel. It writes Version 2.1 files, files for Excel 97-2003 and those for Excel 2007 and higher. Multiple page worksheets are supported. You can choose a page of a multiple page workbook with a single click of your mouse. Multiple worksheet pages in the input file can be combined into a single output file.
Feather
Feater is a fast on-disk format for data frames for R and Python.
Gauss
Stat/Transfer reads and writes Gauss’s universal file format in addition to the older Gauss 89 format used for Windows.
GenStat
Genstat is a comprehensive statistical and data management package. Stat/Transfer will read and write both compressed and uncompressed workbooks containing multiple spreadsheets.
gretl
Stat/Transfer reads and writes gretl cross-sectional data files.
HTML Tables
Stat/Transfer will write HTML tables for use in Web pages.
JMP
Stat/Transfer fully supports files written on either the Windows or Macintosh platforms. All versions are supported as well as all of the newer numeric types.
JSON-Stat
The JSON-Stat format provides a simple, lightweight representation of tabular data. It is used by many national statistical agencies for data dissemination. Stat/Transfer support reading only. Version one and two are supported.
LIMDEP
Stat/Transfer reads and writes the native internal file format of all versions of LIMDEP for Windows.
Matlab
Matrices from all versions of Windows, Macintosh, and Unix Matlab are supported. Matlab datasets are supported for versions greater than seven.
Mineset
Stat/Transfer reads and writes portable files for this data visualization package developed by Silicon Graphics.
Minitab
Stat/Transfer reads worksheets from any version of Minitab through Version Twenty. It will also read and write Version 19 Project Files. It fully supports the newer Date and Date/Time types. Minitab 20 project and worksheet files are fully supported for reading.
Mplus
Stat/Transfer supports exporting to Mplus for Windows.
NLOGIT
Stat/Transfer supports all versions of NLOGIT for Windows.
ODBC
Stat/Transfer can read or write data to any file type for which you have, or can obtain, an ODBC driver. These include such relational databases as Oracle, SQL Server, MySQL, Sybase, DB2 or Informix, or flat-file databases such as Btrieve. Apache Big Data formats, such as Drill, Hive, Impala and Parquet are supported through ODBC. When you select ODBC as an input or output file type, Stat/Transfer will present a list of installed data sources, instead of the Open or Save dialog boxes. If a password or other information is needed, you will be prompted automatically. You can also submit SQL for specialized transfers.
The Stat/Transfer command processor allows you to save connection information, so you can automate ODBC transfers.
OpenDocument Spreadsheets
The OpenDocument format for spreadsheets is an ISO standard XML format for spreadsheet data. It is supported by numerous applications, including OpenOffice.org, LibreOffice, and Google Docs. Stat/Transfer will read and write files compatable with all of these applications. The implementation is fully equivalent to that of Excel, and supports multiple sheets, range selections and all other options.
OSIRIS
Because of the quantity of early survey data data available in this now-obsolete format, Stat/Transfer offers read-only access to OSIRIS files. Variable and value labels are fully supported and Stat/Transfer can automatically read your data whether they are in EBCDIC or ASCII format.
Paradox
Stat/Transfer reads all versions of Paradox and writes Version 7 through 9 files.
Quattro Pro
All versions of Quattro Pro are supported. Stat/Transfer allows the selection of data from individual pages of a multiple page worksheet.
R
Stat/Transfer will read and write workspace files for all versions of R, as well as reading and writing single object rds files. Data can also be written to r tibbles for improved support of value and variable labels.
RATS
RATS (Regression Analysis of Timeseries), is a general-purpose econometric and time series analysis package. Stat/Transfer can read and write RATS version 7 files.
SAS Data Files
Stat/Transfer will read and write SAS Versions 6 through 9 data files for Windows and Unix platforms . For version 7 and above, all common data representations are supported. Obsolete PC/DOS files are supported on input.
SAS Program Files
Stat/Transfer can write data to fixed format ASCII files, together with a program file that can be used to read the data into SAS. A corresponding read feature supports the most common language elements that are used to describe data and which are used by data libraries for distribution.
SAS Value Labels
Stat/Transfer will transport value labels out of SAS for such packages as SPSS and Stata, and will, in addition, write a PROC FORMAT program for reading value labels from other packages into SAS. This feature is also handy if you are sending a SAS file with value labels to another user and do not want to send a whole format catalog. New in version 14, is the ability to write native SAS catalogs for Windows.
Value labels can be read from catalogs, CPORT files, SAS data files, and from transport files.
SAS CPORT Files
Stat/Transfer will read, but not write, Windows CPORT files for versions higher than SAS Seven.
SAS Transport Files
These files, which can be read or written by SAS’s XPORT engine, provide a convenient way to move data from mainframe SAS and other versions for which direct data file support is not provided. They have the distinct advantage of being readable by any version of SAS and of being the standard format for the submission of data to the FDA.
Version 17 of Stat/Transfer add supports for for Version 8 of this format. While less widely used, this format supports longer variable names and string values.
S-Plus
Stat/Transfer reads S-Plus matrices, lists and dataframes. It writes dataframes. Files can be read and written that are compatible with both Windows and Unix S-Plus versions.
SPSS Data Files
You can read and write SPSS native data files for Windows, Macintosh, and Unix platforms. Stat/Transfer supports all of the features in these files such as value and variable labels. It will read both compressed and uncompressed files and writes the smallest possible compressed data files. Stat/Transfer can read Version 21 compressed, .gsav files.
SPSS Portable Files
The Portable file format provides a convenient way to move data from your older mainframe systems. Stat/Transfer supports all of its features including value and variable labels and multiple missing values.
SPSS Syntax Files
Stat/Transfer can write data to fixed format ASCII files, together with a syntax file that can be used to read the data into SPSS. All features, including value labels and user missing data are supported. A corresponding read feature supports the most common language elements that are used to describe data and which are used by data libraries for distribution.
Stata
Stata files are completely portable across platforms (the same file can be used on Unix, the PC and on the Mac.) Stat/Transfer can read all Stata files through the latest, and all versions of Stata can read the files that Stat/Transfer writes. All features are supported, including value and variable labels, extended missing values and longer variable names. Variable length strings, or strls, for version 13 and above are supported for reading and writing. Older Stata file versions can optionally be written. For older versions, variable labels longer than Stata’s 80 character limit can be written to Stata “notes.”
Because Stata files are kept in memory, it is important to minimize the size of Stata datasets. With Stat/Transfer’s automatic optimization feature, you can be assured that you will have the smallest possible Stata file.
Statistica
Stat/Transfer fully supports Statistica Versions 5 and 7 through 14. Value and variable labels are fully supported, as are user-missing values.
SYSTAT
Stat/Transfer reads and writes files that are compatible with all versions of SYSTAT. All features, including subscripted variables, are supported.
Triple-S
Triple-S is an open standard for the interchange of data and metadata between survey research software packages. Stat/Transfer fully supports the latest XML Version 2.
Uutta
New features in Stat/Transfer 17
New formats
There is new support for reading Matlab date and time string classes, UTF16 character vectors, and matrices (cell arrays that contain character and numeric variables).
Platform support
Stat/Transfer is now shipping with native support for Mac M1 processors and the latest versions of OS-X. Windows 11 is fully supported.
New features in Stat/Transfer 16
New formats
Stat/Transfer version 16 supports the following new formats:
New Features in Stat/Transfer 16
New Platform Support
Stat/Transfer is now shipping with native support for Mac M1 processors and full support for Big Sur and Monterey. Windows 11 is fully supported.
What’s new in Stat/Transfer 15
Formats in Stat/Transfer 15
Stat/Transfer version 15 supports the following new formats:
Mac Catalina Support
Full support of Catalina with code notarization and 64-bit support. Versions of Stat/Transfer earlier than 15 are problematic on this new OS.
Production Licensing
Stat/Transfer is now available on web servers, SaaS environments, and repetitive batch processes. Consult our sales department for information on product licensing.
What’s new in Stat/Transfer 14
Formats
Stat/Transfer Version 14 has added support for the following formats:
Extended Attribute Support
Variable- and File-level metadata are now supported for reading and writing from the following formats:
Enhanced SAS Support
Other New Features in Stat/Transfer 14
Larger Limits
Tekniset vaatimukset
Tekniset vaatimukset
Hardware
Windows
Apple Mac OS
Linux
Supported Data Formats
Lisensointi
Tuki
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