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In Spring 2017, Ryan Womack, Data Librarian, will repeat the series of workshops on statistical software, data visualization, and reproducible research as part of the Rutgers University Libraries Data Services. Database entity A detailed calendar and descriptions of each workshop are below. Database developer This semester each workshop topic will be repeated twice, once at the Library of Science and Medicine on Busch Campus, and once at Alexander Library on College Ave. Data recovery plan These sessions will be identical except for location.

Data recovery kansas city Sessions will run approximately 3 hours. N k database Workshops in parts will divide the time in thirds. Data recovery 2016 For example, the first SPSS, Stata, and SAS workshop (running from 12-3 pm) would start with SPSS at 12 pm, Stata at 1 pm, and SAS at 2 pm. 510 k database fda You are free to come only to those segments that interest you. Database programmer There is no need to register, just come!

Location: The Library of Science and Medicine (LSM on Busch) workshops will be held in the Conference Room on the 1st floor of LSM on Mondays from 12 to 3 pm. Data recovery osx The Alexander Library (College Ave) workshops will be held in room 413 of the Scholarly Communication Center (4th floor of Alexander Library) from on Tuesdays from 1:10 to 4:10 pm.

For both locations, you are encouraged to bring your own laptop to work in your native environment. Database integrity Alternatively, at Alexander Library, you can use a library desktop computer instead of your own laptop. Database backup At LSM, we will have laptops available to borrow for the session if you don’t bring your own. Hollywood u database Room capacity is 25 in both locations, first come, first served.

If you can’t make the workshops, or would like a preview or refresher, screencast versions of many of the presentations are already available at http://libguides.rutgers.edu/data and https://youtube.com/librarianwomack. Data recovery ipad Additional screencasts are continually being added to this series. Database vs server Note that the “special topics” [Time Series, Survival Analysis, and Big Data] are no longer offered in person, but are available via screencast [Survival Analysis coming soon].

§ Introduction to SPSS, Stata, and SAS (January 23 or January 24) provides overviews of these three popular commercial statistical software programs, covering the basics of navigation, loading data, graphics, and elementary descriptive statistics and regression using a sample dataset. Database is in transition If you are already using these packages with some degree of success, you may find these sessions too basic for you.

• SPSS is widely used statistical software with strengths in survey analysis and other social science disciplines. Data recovery ios Copies of the workshop materials, a screencast, and additional SPSS resources can be found here: http://libguides.rutgers.edu/content.php?pid=115296&sid=1208425. Database data types SPSS is made available by OIRT at a discounted academic rate, currently $100/academic year. Data recovery johannesburg Find it at software.rutgers.edu. Iphone 5 data recovery software SPSS is also available in campus computer labs and via the Apps server (see below).

• Stata is flexible and allows relatively easy access to programming features. Database operations It is popular in economics among other areas. Database index Copies of the workshop materials, a screencast, and additional Stata resources can be found here: http://libguides.rutgers.edu/content.php?pid=115296&sid=1208427. Database crud Stata is made available by OIRT via campus license with no additional charge to install for Rutgers users. Drupal 8 database Find it at software.rutgers.edu.

• SAS is a powerful and long-standing system that handles large data sets well, and is popular in the pharmaceutical industry, among other applications. Data recovery disk Copies of the workshop materials, a screencast, and additional SAS resources can be found here: http://libguides.rutgers.edu/content.php?pid=115296&sid=1208423. Database 3 tier architecture SAS is made available by OIRT at a discounted academic rate, currently $100/academic year. Data recovery orlando Find it at software.rutgers.edu. Database cardinality SAS is also available in campus computer labs, online via the SAS University Edition cloud service, and via the Apps server (see below).

SPSS, SAS, Stata, and R are available for remote access on apps.rutgers.edu. Database unit testing apps.rutgers.edudoes not require any software installation, but you must activate the service first at netid.rutgers.edu.

§ Introduction to R (January 30 or January 31) – This session provides a three-part orientation to the R programming environment. I data recovery software free download R is freely available, open source statistical software that has been widely adopted in the research community. O review database Due to its open nature, thousands of additional packages have been created by contributors to implement the latest statistical techniques, making R a very powerful tool. Database in recovery No prior knowledge is assumed. Data recovery wizard professional The three parts cover:

• Data Manipulation: data import and transformation, additional methods for working with large data sets, also plyr and other packages useful for manipulation.

Additional R resources, including handouts, scripts, and screencast versions of the workshops, can be found here: http://libguides.rutgers.edu/data_R

§ Data Visualization in R (February 6 or February 7) discusses principles for effective data visualization, and demonstrates techniques for implementing these using R. Data recovery open source Some prior familiarity with R is assumed (packages, structure, syntax), but the presentation can be followed without this background. Gif database The three parts are:

• Principles & Use in lattice and ggplot2: discusses classic principles of data visualization (Tufte, Cleveland) and illustrates them with the use of the lattice and ggplot2 packages. Data recovery lifehacker Some of the material here overlaps with Intro to R, pt 2, but at a higher level.

• 3-D, Interactive, and Big Data: presentation of 3-D data, interactive exploration data, and techniques for large datasets. Top 10 data recovery software 2014 Relevant packages such as shiny and tessera are explored.

• Reproducible research describes the growing movement to make the products of research accessible and usable by others in order to verify, replicate, and extend research findings. Database gale Reviews how to plan research, to create publications, code, and data in open, reusable formats, and maximize the impact of shared research findings. Database life cycle Examples in LaTeX and Rmarkdown are discussed, along with platforms for reusability such as the Open Science Foundation.

Additional resources on reproducible research and data management, including presentation slides, can be found here: http://libguides.rutgers.edu/datamanagement

• Time Series in R: review of commands and techniques for basic time series analysis in R. Data recovery dallas Screencast at https://www.youtube.com/playlist?list=PLCj1LhGni3hOA2q0sfDNKBH9WIlLxXkbn and scripts at http://libguides.rutgers.edu/data_R

• Survival Analysis in R: review of commands and techniques for basic survival analysis in R. Data recovery usb Scripts at http://libguides.rutgers.edu/data_R. Database 4th normal form [Screencast coming soon.]

• Big Data in Brief: an introduction to some of the techniques and software environments used to work with big data, with pointers to resources for further learning at http://libguides.rutgers.edu/bigdata. V database in oracle Screencast at https://www.youtube.com/playlist?list=PLCj1LhGni3hMNhIdrvz1F5-JHIWi1qdX1