Additionally a \"macro\" language can be used to write command language subroutines. A Python programmability extension can access the information in the data dictionary and data and dynamically build command syntax programs. The Python programmability extension, introduced in SPSS 14, replaced the less functional SAX Basic \"scripts\" for most purposes, although SaxBasic remains available. In addition, the Python extension allows SPSS to run any of the statistics in the free software package R. From version 14 onwards, SPSS can be driven externally by a Python or a VB.NET program using supplied \"plug-ins\". (From Version 20 onwards, these two scripting facilities, as well as many scripts, are included on the installation media and are normally installed by default.)
SPSS Statistics can read and write data from ASCII text files (including hierarchical files), other statistics packages, spreadsheets and databases. SPSS Statistics can read and write to external relational database tables via ODBC and SQL.
SPSS Statistics launched version 25 on Aug 08, 2017. SPSS v25 adds new and advanced statistics, such as random effects solution results (GENLINMIXED), robust standard errors (GLM/UNIANOVA), and profile plots with error bars within the Advanced Statistics and Custom Tables add-on. V25 also includes new Bayesian Statistics capabilities, a method of statistical inference and publication ready charts, such as powerful new charting capabilities, including new default templates and the ability to share with Microsoft Office applications.
Predictive intelligence allows you to look into the future. Using historical data, SPSS Modeler lets you confidently expect outcomes and gain an understanding of the relationships hidden in your data. This understanding permits you to crack any business problem faster using powerful, proven analytical methods that deliver more profound insight into your customers, students, or constituents.
It provides data analysis for descriptive statistics, numeral outcome predictions, and identifying groups. This software also gives data transformation, graphing, and direct marketing features to organize data smoothly.
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In Salvador (State of Bahia, northeastern Brazil)77. Silva MB, Andrade TM, Silva LK, Rodart IF, Lopes GB, Carmo TMA, et al. Prevalence and genotypes of hepatitis C virus among injecting drug users from Salvador-BA, Brazil. Mem Inst Oswaldo Cruz 2010; 105: 299-303., the seroprevalence of HCV infection detected in injected-drug users was similar to that observed in this study. Note that most of the study participants use non-injecting illicit drugs. The sporadic use of injectable illicit drugs, shared equipment for drug use, and daily drug use for more than three years most likely contribute significantly to viral transmission and a high prevalence of HCV infection among illicit drug users in the municipality of Breves. A few studies1313. Scheinmann R, Hagan H, Lelutiu-Weinberger C, Stern R, Des Jarlais DC, Flom PL, et al. Non-injection drug use and Hepatitis C Virus: a systematic review. Drug Alcohol Depend 2007; 89:1-12. , 1414. Aaron S, McMahon JM, Milano D, Torres L, Clatts M, Tortu S, et al. Intranasal Transmission of Hepatitis C Virus: Virological and Clinical Evidence. Clin Infect Dis 2008; 47:931-934. have reported the presence of HCV-RNA in the nasal secretions of cocaine and crack users, indicating a possible alternative route for virus transmission (i.e., sharing the paraphernalia used to consume these drugs). 1e1e36bf2d