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Statistical Software  

Resources for learning statistical software.
Last Updated: Oct 30, 2014 URL: http://libguides.mit.edu/stat Print Guide RSS UpdatesEmail Alerts

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Geospatial Data Librarian and Statistics Specialist

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Jennie Murack
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Rotch Library
7-238
617-258-6680
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Get help with statistical software

Do you have specific questions about statistics, research methods, or software?

Make an appointment with a consultant at Harvard

Consultations are free to MIT.

 

Learn quantitative methods

Need to expand your skills in statistical methods and quantitative analysis? Attend the ICPSR Summer Program in Quantitative Methods of Social Research!

Each year, ICPSR provides a comprehensive, integrated program of basic and advanced training in research design, statistics, data analysis, and social science methodology.

 

Statistical software workshops

Intro to R:

Fri, 10/31: 9am-12pm (at Harvard): Register

Weds, 11/5: 1pm-4pm: Register

R Programming:

Fri, 11/21: 9am-12pm (at Harvard): Register

R Regression Models: 

Fri, 11/7: 9am-12pm (at Harvard): Register

R Graphics:

Fri, 11/14: 9am-12pm (at Harvard): Register

MIT affiliates can attend statistical software workshops at Harvard throughout the year.

See materials from past workshops here.

 

Software at MIT

All statistical software can perform commonly used statistical tests. Software differs regarding ease of use; interface; and processing/management of large, complex datasets. 

Software    Strengths Weaknesses Interface Access
R
  • free and open source
  • a variety of add-on packages available
  • flexible and robust programming language
  • steep learning curve (no GUI)
  • quality of packages varies
  • not as many help resources as other software
command line Athena or download for free
SAS
  • powerful for data management
  • can handle large, complex datasets
  • high quality graphics
  • work with multiple files at once
  • excels at ANOVA, mixed models, multivariate analysis
  • excellent help resources
  • steep learning curve (no GUI)
  • limited support for survey data analysis
  • difficult to find errors in commands
mostly command line - basic GUI for some tests Athena
Stata
  • easy to use
  • can handle complex analysis and data management
  • high quality graphics
  • excels at regression, robust methods, survey data analysis
  • work with one file at a time
menus and command line Athena or purchase through IS&T
SPSS
  • very easy to use
  • high quality graphics
  • excels at ANOVA, multivariate analysis
  • complex or large datasets
  • work with one file at a time
  • limited data management tools
menus,
spreadsheet-like view
individual license through IS&T
JMP
  • very easy to use
  • excels at data exploration and visualization
  • can be used to explore research designs
  • complex or large datasets
  • work with one file at a time
  • limited data management tools
menus,
spreadsheet-like view
free download from IS&T

Sources:

http://www.ats.ucla.edu/stat/mult_pkg/compare_packages.htm

http://blogs.sas.com/content/jmp/2013/05/21/time-to-move-from-spss-to-jmp/

 

Overview of Statistical Software Workshop Materials (January 2014)

Description: Do you need to analyze data, but are not sure which program to use? Have you been using one statistical software package for a while and are curious about others? We will learn the strengths and weaknesses of some statistical software programs, see a brief demo of each, and learn how to access them at MIT.

Materials from other workshops can be found here.

 

Transfer data between programs

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