Using Stat/Transfer, the time-consuming manual transfer of data files between different statistical software programs is no longer required. When converting the data, the extremely fast and reliable handling of Stat/Transfer ensures an almost error-free file conversion in the required format. Nearly all features of a specific file format created by a certain statistical software are translated into an equivalent file format of another statistical software. The default settings are already set optimally for each data format. Thus, a fast workflow is guaranteed.

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Stat/Transfer ensures both fast and accurate processing. The variety of available formats is large. Almost all relevant statistics programs are supported. Stat/Transfer Stat/Transfer in its new version 14, fully supports STATA 15! What you obtain with Stat/Transfer: Stat/Transfer is designed to simplify the transfer of statistical data between different programs.

Manual transfer is not only time-consuming, it is error-prone. For those in possession of data sets with many variables, it represents a serious impediment to the use of more than one program. Stat/Transfer removes this barrier by providing an extremely fast, reliable and automatic way to move data. Stat/Transfer will automatically read statistical data in the internal format of one of the supported programs and will then transfer as much of the information as is present and appropriate to the internal format of another. Stat/Transfer preserves all of the precision in your data, while automatically minimizing the size of your output data set. Stat/Transfer also allows control over the storage format of your output variables.

In addition to converting the formats of variables, Stat/Transfer also processes variable names, missing values and value and variable labels automatically. In addition to the standard Windows interface, a command processor on Windows and on Unix allows you to run a transfer in batch mode. This makes it straightforward to set up fully automatic batch procedures for repetitive tasks.

2016 excel for mac pivot table date. Stat/Transfer can handle datasets of virtually unlimited size at blazing speed. It is the quickest, easiest, and most powerful way to move data between programs.

SASdecoder SASdecoder, reads SAS data definition commands and writes a Stat/Transfer schema file that will allow Stat/Transfer to read your data and convert it to any of the formats that Stat/Transfer supports. SASdecoder accepts three forms of input: Column, Formatted and List. It also translates PROC FORMAT and VALUE statements into value label definitions. The SASdecoder Addon is available for Windows only! For further information, please visit the. Further Information: • • • •.

Windows® Mac Linux Solaris Further Requirements Minimum 1024*786 Display Minimum 1024*786 Display Minimum 1024*786 Display Operating System XP, Vista oder Windows 7/8/10 (64 or 32 Bit) Apple Mac OS-X 10.4 (Tiger), 10.5 (Leopard), 10.6 (Snow Leopard), 10.7 (Lion), 10.8 (Mountain Lion - S/T V12 only), 10.9 (Mavericks - ST V12 and above) and macOS Sierra and higher • 32 oder 64 bit • Kernel 2.6 or higher • glibc 2.3.3 or higher • gtk 2.6.4 or higher Solaris 10 or higher Minimum CPU Intel or AMD x86 Processor Intel or PowerPC Processor Intel or AMD x86 Processor Intel or SPARC Processor Min. RAM 512 MB 512 MB 512 MB Disc Space 25 MB 20 MB 20 MB. New in Version 14 Formats Stat/Transfer Version 14 has added support for the following formats: • Stata 15//MP • BayesiaLab (Write Only) • JSON-Stat (Read Only) Extended Attribute Support Variable- and File-level metadata are now supported for reading and writing from the following formats: • R (Attr) • SAS (extended attributes) • Stata (characteristics) • JMP (attributes) • ASCII - Stat/Transfer Schemas Enhanced SAS Support • Value Labels can now be written directly to native Windows SAS catalog files (sas7cat) • Optional control over date, time and date-time formats used for writing. • All SAS date and time formats are recognized on reading. • Labels for SAS extended missing are now supported.