Tag Archives: Statistics

Survival Analysis in R video available

As promised earlier, the “special topic” material on Survival Analysis is now available on YouTube in lieu of in-person sessions.  Take a look at the Survival Analysis in R Playlist.

Survival analysis deals with data that may have truncated observations, called censored data.  A typical example is studying the time until failure of a part in engineering, or failure of a part of the human body in medicine (colloquially known as “disease”).  We usually have some accurate data on when the problem occurs until the point that the end of the study is reached.  Then we will have some subjects that survived without failure until the end of the study, but we are uncertain just how long they would have lasted until failure.  The methods of survival analysis account for this partial uncertainty in the data.  R can deal with almost all necessary aspects of survival analysis, but requires some mixing and matching of packages to get the best results, as shown in the videos.

As always, my YouTube videos are fueled by music behind the scenes.  Giving a throwback shoutout to Public Image Limited, some holiday Twice, plus the usual Mongolian suspects.

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Statistical Software and Data Workshops – Fall 2015

Rutgers University Libraries Data Services Workshop Series (New Brunswick)

August 2015

This Fall, Ryan Womack, Data Librarian, will give a series of workshops on statistical software, data visualization, and data management, as part of the Rutgers University Libraries Data Services.  To go directly to the registration page, click here.  A detailed calendar and descriptions of each workshop are below.  This semester each workshop topic will be repeated twice, once at Alexander Library on College Ave, and once at the Library of Science and Medicine on Busch.  These sessions will be identical except for location. Sessions will run approximately 3 hours.  Workshops in parts will divide the time in thirds.  For example, the SPSS, Stata, and SAS workshop would start with SPSS at 1:10, Stata at 2:10, and SAS at 3:10.  You are free to come only to those segments that interest you.

Logistics

Location: The Alexander Library (College Ave) workshops will be held in room 415 of the Scholarly Communication Center (4th floor of Alexander Library) from on Wednesdays from 1:10 to 4:10 pm.  The Library of Science and Medicine (LSM on Busch) workshops will be held in the Conference Room on the 1st floor of LSM on Thursdays from 12 to 3 pm.  Pay attention to the different locations and times when signing up.

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

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.  Additional screencasts are continually being added to this series.

Calendar of workshops

Wednesday (Alexander)

1:10-4:10 pm

  Thursday (LSM)

12-3 pm

September 9 Introduction to SPSS, Stata, and SAS September 10
September 16 Introduction to R September 17
October 7 Data Visualization in R September 24
October 14 Special Topics:

Time Series in R, Survival Analysis in R, Big Data in Brief

October 8

 Register for the workshops here

Description of Workshops:

§ Introduction to R (September 16 or September 17) – This session provides a three-part orientation to the R programming environment.  R is freely available, open source statistical software that has been widely adopted in the research community.  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.  No prior knowledge is assumed. The three parts cover:

  • Statistical Techniques: getting around in R, descriptive statistics, regression, significance tests, working with packages
  • Graphics:  comparison of graphing techniques in base R, lattice, and ggplot2 packages
  • Data Manipulation:  data import and transformation, additional methods for working with large data sets

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

R is freely downloadable from http://r-project.org

 

§ Introduction to SPSS, Stata, and SAS (September 9 or September 10) 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.  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.  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. SPSS is made available by OIRT at a discounted academic rate, currently $100/academic year.  Find it at software.rutgers.edu.  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.  It is popular in economics among other areas.  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. Stata is made available by OIRT via campus license with no additional charge to install for Rutgers users.  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. 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. SAS is made available by OIRT at a discounted academic rate, currently $100/academic year.  Find it at software.rutgers.edu.  SAS is also available in campus computer labs, online via the SAS University Edition cloud service, and via the Apps server (see below).
     

Note: Accessing software via apps.rutgers.edu

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

 

§ Data Visualization in R  (October 7 or September 24) discusses principles for effective data visualization, and demonstrates techniques for implementing these using R.  Some prior familiarity with R is assumed (packages, structure, syntax), but the presentation can be followed without this background.  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.  Some of the material here overlaps with Intro to R, pt 2, but at a higher level.
  • Miscellany of Methods: illustrates a wide range of specific graphics for different contexts
  • 3-D, Interactive and Big Data: presentation of 3-D data, interactive exploration data, and techniques for large datasets

Additional R resources can be found here: http://libguides.rutgers.edu/data_R

R is freely downloadable from http://r-project.org

§ Special Topics (October 14 or October 8) covers a few different specialized areas.  The three parts presented during the afternoon workshop are not related.

 Register for the workshops here

Statistical Software and Data Workshops – Spring 2015

Rutgers University Libraries Data Services Workshop Series (New Brunswick)

January 2015

This Spring, Ryan Womack, Data Librarian, will give a series of workshops on statistical software, data visualization, and data management, as part of the Rutgers University Libraries Data Services.  To go directly to the registration page, click here.  A detailed calendar and descriptions of each workshop are below.

Logistics

All workshops for Spring 2015 will be held in the Conference Room on the 1st floor of the Library of Science and Medicine (Busch Campus).  Workshops are held on Wednesday afternoons from 3:20 to 4:40 pm or Thursday afternoons from 1:40 to 3:00 pm.  The Wednesday series covers many aspects of the R open source statistical software environment.  The early Thursday sessions are introductions to commerical statisical software  (SPSS, Stata, SAS).  Later in the semester, the Thursday sessions will cover several aspects of research data management.

You are encouraged to bring your own laptop for these sessions.  Laptops are also available for borrowing during the workshops.  Room capacity is approximately 25.  SPSS, Stata, and SAS sessions will use the apps.rutgers.edu remote system.

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.  Additional screencasts are continually being added to this series.

Calendar of workshops

Wednesday   Thursday
Jan 28 Intro to R, part I, Statistical Functions Intro to SPSS Jan 29
Feb 4 Intro to R, part II, Graphics Intro to Stata Feb 5
Feb 11 Intro to R, part III, Data Manipulation Intro to SAS Feb 12
Feb 18 Data Visualization, part I, Principles & Use in lattice and ggplot2
Feb 25 Data Visualization, part II, Miscellany of Methods Best Practices for Managing your Research Data Feb 26
March 4 Data Visualization, part III, 3-D, Interactive and Big Data Data Management Plans, Data Sharing and Archiving March 5
March 11 Survival Analysis in R Reproducible Research  March 12
March 25 Time Series in R

 Register for the workshops here

Description of Workshops:

§ Introduction to R (Jan 28, Feb 4, and Feb 11) – This 3-part series provides an orientation to the R programming environment.  R is freely available, open source statistical software that has been widely adopted in the research community.  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.  No prior knowledge is assumed. The three parts cover:

(Jan 28) Part I – Statistical Techniques: getting around in R, descriptive statistics, regression, significance tests, working with packages

(Feb 4) Part II – Graphics:  comparison of graphing techniques in base R, lattice, and ggplot2 packages

(Feb 11) Part III – Data Manipulation:  data import and transformation, additional methods for working with large data sets

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

R is freely downloadable from http://r-project.org

§ Introduction to SPSS (Jan 29) provides a single session overview of navigating the basics of SPSS.  SPSS is widely used statistical software with strengths in survey analysis and other social science disciplines.  If you are already using SPSS with some degree of success, this session may be too basic for you.

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

SPSS is made available by OIRT at a discounted academic rate, currently $100/academic year.  Find it at software.rutgers.edu.  SPSS is also available in campus computer labs and via the Apps server (see below).

§ Introduction to Stata (Feb 5) provides a single session overview of navigating the basics of Stata.  Stata is flexible and allows relatively easy access to programming features.  It is popular in economics among other areas. If you are already using Stata with some degree of success, this session may be too basic for you.

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

Stata is made available by OIRT via campus license with no additional charge to install for Rutgers users.  Find it at software.rutgers.edu.

§ Introduction to SAS (Feb 12) provides a single session overview of navigating the basics of SAS.  SAS is a powerful and long-standing system that handles large data sets well, and is popular in the pharmaceutical industry, among other applications. If you are already using SAS with some degree of success, this session may be too basic for you.

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

SAS is made available by OIRT at a discounted academic rate, currently $100/academic year.  Find it at software.rutgers.edu.  SAS is also available in campus computer labs, online via the SAS University Edition cloud service, and via the Apps server (see below).
 

Note: Accessing software via apps.rutgers.edu

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

On Wednesdays, the R series will continue, including:

§ Data Visualization in R  in 3 parts (basics, more methods, interactive & big data)

§ Time Series in R 

§ Survival Analysis in R 

On Thursdays, other topics in Data Management will be addressed, including:

§ Data Management Best Practices 

§ Data Management Plans, Data Sharing and Archiving

§ Reproducible Research

Additional data management resources can be found here: http://libguides.rutgers.edu/datamanagement

Logistics, again

To repeat, All workshops for Spring 2015 will be held in the Conference Room on the 1st floor of the Library of Science and Medicine (Busch Campus) on Wednesday afternoons (starting at 3:20) and Thursday afternoons (starting at 1:40).  Bring your own laptop if you can, although there will be laptops available to borrow.

 Register for the workshops here

Data Management Workshop Series

The final component of the Fall Data Workshop series are three workshops on aspects of data management, presented by Ryan Womack, Data Librarian, and Aletia Morgan, Research Data Manager at Rutgers University Libraries.

To go directly to the registration page for this series, click here.  A detailed calendar and descriptions of each workshop are below.

Logistics

Data management workshops for Fall 2014 will be held in Room 413 on the 4th floor of Alexander Library (169 College Avenue).  Workshops are held on Thursdays from 1:10-2:30 pm according to the schedule below.  Room capacity is limited to 25.

Description of Workshops:

§ Best Practices for Managing Your Data  (Oct 9)

This workshop is targeted to graduate students who are generating data for their own research.  The session discusses methods to organize, describe, backup, and archive your research data in order to ensure its future usability and accessibility.  Developing good habits for handling your data from the start will save time and frustration later, and increase the ultimate impact of your research.

Additional data management resources can be found here: http://libguides.rutgers.edu/datamanagement

§ Data Management Plans, Data Sharing and Archiving (Oct 23)

This workshop is targeted to researchers who need to write data management plans (DMPs) and share their data as part of their grant application, research and publication process.  It reviews DMP guidelines, checklist, and general advice, along with options for sharing and permanently archiving research data.

§ Reproducible Research (Oct 30)

The workshop is targeted to any interested faculty and students who are interested in learning about the growing interest in making the products of research accessible and usable by others in order to verify, replicate, and extend research findings.  It reviews how to plan research, to create publications, code, and data in open, reusable formats, and maximize the impact of shared research findings.

Register for the workshops here

Data Viz and other techniques in R

Registration is now open for the remainder of the continuing Fall Data Workshop series, presented by Ryan Womack, Data Librarian.

To go directly to the registration page, click here.  A detailed calendar and descriptions of each workshop are below.

Logistics

All workshops for Fall 2014 will be held in Room 413 on the 4th floor of Alexander Library (169 College Avenue).  Workshops are held on Tuesdays from 1:10-2:30 pm according to the schedule below.  Room capacity is limited to 25.

Room 413 has R installed on its workstations.  You are also welcome to bring your laptop if you want to follow along with the exercises, but this is not required.

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.  Additional screencasts will be added for the newer workshops in the series.

Description of Workshops:

§ Data Visualization in R (Sept 30, Oct 7, Oct 14) discusses principles for effective data visualization, and demonstrates techniques for implementing these using R.  Some prior familiarity with R is assumed (packages, structure, syntax), but the presentation can be followed without this background.  The three parts are:

(Sept 30) Part I – 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.  Some of the material here overlaps with Intro to R, pt 2, but at a higher level.

(Oct 7) Part II – Miscellany of Methods: illustrates a wide range of specific graphics for different contexts

(Oct 14) Part III – 3-D, Interactive and Big Data: presentation of 3-D data, interactive exploration data, and techniques for large datasets

Additional R resources can be found here: http://libguides.rutgers.edu/data_R

R is freely downloadable from http://r-project.org

§ Time Series in R (Oct 21)

Review of commands and techniques for basic time series analysis in R

§ Survival Analysis in R (Oct 28)

Review of commands and techniques for basic survival analysis in R

Register for the workshops here

Statistical Software and Data Workshops – Fall 2014

Rutgers University Libraries Data Services Workshop Series (New Brunswick)

September 2014

This Fall, Ryan Womack, Data Librarian, will give a series of workshops on statistical software, data visualization, and data management, as part of the Libraries Data Services.  This announcement outlines the schedule of workshops for the first weeks of September, and provides a preview of upcoming October events.  To go directly to the registration page, click here.  A detailed calendar and descriptions of each workshop are below.

Logistics

All workshops for Fall 2014 will be held in Room 413 on the 4th floor of Alexander Library (169 College Avenue).  Workshops are held on Tuesdays and Thursdays from 1:10-2:30 pm according to the schedule below.  Room capacity is limited to 25.

Room 413 has R installed on its workstations.  You are also welcome to bring your laptop if you want to follow along with the exercises, but this is not required.  SPSS, Stata, and SAS sessions will use the apps.rutgers.edu remote system.

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.  Additional screencasts will be added for the newer workshops in the series.

Calendar of workshops

  Tuesday   Thursday  
Sept 9 Intro to R, part I, Statistical Functions   Intro to SPSS Sept 11
Sept 16 Intro to R, part II, Graphics   Intro to Stata Sept 18
Sept 23 Intro to R, part III, Data Manipulation      
Sept 30 Data Visualization, part I, Principles & Use in lattice and ggplot2   Intro to SAS Oct 2
Oct 7 Data Visualization, part II, Miscellany of Methods   Best Practices for Managing your Research Data Oct 9
Oct 14 Data Visualization, part III, 3-D, Interactive and Big Data     Oct 16
Oct 21 Time Series in R   Data Management Plans, Data Sharing and Archiving  Oct 23
Oct 28 Survival Analysis in R   Reproducible Research  Oct 30

 Register for the workshops here

Description of Workshops:

§ Introduction to R (Sept 9, Sept 16, and Sept 23) – This 3-part series provides an orientation to the R programming environment.  R is freely available, open source statistical software that has been widely adopted in the research community.  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.  No prior knowledge is assumed. The three parts cover:

(Sept 9) Part I – Statistical Techniques: getting around in R, descriptive statistics, regression, significance tests, working with packages

(Sept 16) Part II – Graphics:  comparison of graphing techniques in base R, lattice, and ggplot2 packages

(Sept 23) Part III – Data Manipulation:  data import and transformation, additional methods for working with large data sets

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

R is freely downloadable from http://r-project.org

 

§ Introduction to SPSS (Sept 11) provides a single session overview of navigating the basics of SPSS.  SPSS is widely used statistical software with strengths in survey analysis and other social science disciplines.  If you are already using SPSS with some degree of success, this session may be too basic for you.

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

SPSS is made available by OIRT at a discounted academic rate, currently $100/academic year.  Find it at software.rutgers.edu.  SPSS is also available in campus computer labs and via the Apps server (see below).

 

§ Introduction to Stata (Sept 18) provides a single session overview of navigating the basics of Stata.  Stata is flexible and allows relatively easy access to programming features.  It is popular in economics among other areas. If you are already using Stata with some degree of success, this session may be too basic for you.

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

Stata is made available by OIRT via campus license with no additional charge to install for Rutgers users.  Find it at software.rutgers.edu.

 

§ Introduction to SAS (Oct 2) provides a single session overview of navigating the basics of SAS.  SAS is a powerful and long-standing system that handles large data sets well, and is popular in the pharmaceutical industry, among other applications. If you are already using SAS with some degree of success, this session may be too basic for you.

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

SAS is made available by OIRT at a discounted academic rate, currently $100/academic year.  Find it at software.rutgers.edu.  SAS is also available in campus computer labs and via the Apps server (see below).
 

Note: Accessing software via apps.rutgers.edu

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

In October, the workshops will continue at the same times (Tuesday and Thursday afternoons, 1:10-2:30), also in Alexander Library 413.

On Tuesdays, the R series will continue, including:

§ Data Visualization in R  in 3 parts (basics, more methods, interactive & big data)

§ Time Series in R 

§ Survival Analysis in R 

 

On Thursdays, other topics in Data Management will be addressed, including:

§ Data Management Best Practices 

§ Data Management Plans, Data Sharing and Archiving

§ Reproducible Research

Additional data management resources can be found here: http://libguides.rutgers.edu/data,management

 

Logistics, again

To repeat, all workshops will be held in room 413 on the 4th floor of Alexander Library (169 College Avenue).  Workshops run from 1:10-2:30 pm.

 Register for the workshops here

Statistical Software Workshops – Fall 2013

Rutgers University Libraries Data Services Workshop Series (New Brunswick)

Fall 2013

This Fall, Ryan Womack, Data Librarian, will give a series of workshops on statistical software, data visualization, and data management as part of the Libraries Data Services.

Logistics

All workshops for Fall 2013 will be held in the Teleconference Lecture Hall on the 4th floor of Alexander Library (169 College Avenue).  Workshops are held on Tuesdays and Thursdays from 7-8:30 pm according to the schedule below.  On two dates, indicated with *, we will start at 7:15 instead of 7.   These are open workshops, registration is not necessary.

This room does not have its own computers.  You can bring your laptop if you want to follow along with the exercises, but this is not required.

Screencast versions of the presentations will be made available about the same time as the workshop dates at http://libguides.rutgers.edu/data.

Calendar of workshops

 

Tuesday

 

Thursday

 

Sept 17

Intro to R, part I

Statistical Functions

 

Intro to SPSS

Sept 19

Sept 24

Intro to R, part II

Graphics

 

Intro to SAS

Sept 26

Oct 1

Intro to R, part III

Data Manipulation

 

Intro to Stata

Oct 3*

(starts at 7:15)

 

 

 

Data Visualization, part I, Principles & Use in lattice and ggplot2

Oct 10

Oct 15

Time Series in R

 

Data Visualization, part II

Miscellany of Methods

Oct 17

 

 

 

Data Visualization, part III, 3-D, Interactive and Big Data

Oct 24*

(starts at 7:15)

Oct 29

Best Practices for Managing your Research Data

 

 

 

 

 

 

Description of Workshops:

§ Introduction to R (Sept 17, Sept 24, and Oct 1) – This 3-part series provides an orientation to the R programming environment.  R is freely available, open source statistical software that has been widely adopted in the research community.  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.  No prior knowledge is assumed. The three parts cover:

    (Sept 17) Part I – Statistical Techniques: getting around in R, descriptive statistics, regression, significance tests, working with packages

    (Sept 24) Part II – Graphics:  comparison of graphing techniques in base R, lattice, and ggplot2 packages

    (Oct 1) Part III – Data Manipulation:  data import and transformation, additional methods for working with large data sets

Additional R resources can be found here: http://libguides.rutgers.edu/content.php?pid=115296&sid=1208422

R is freely downloadable from http://r-project.org

 

§ Introduction to SPSS (Sept 19) provides a single session overview of navigating the basics of SPSS.  SPSS is widely used statistical software with strengths in survey analysis and other social science disciplines.  If you are already using SPSS with some degree of success, this session may be too basic for you.

Copies of the workshop materials and additional SPSS resources can be found here: http://libguides.rutgers.edu/content.php?pid=115296&sid=1208425

SPSS is made available by OIRT at a discounted academic rate, currently $100/academic year.  Find it at software.rutgers.edu.  SPSS is also available in campus computer labs and via the Apps server (see below).

 

§ Introduction to SAS (Sept 26) provides a single session overview of navigating the basics of SAS.  SAS is a powerful and long-standing system that handles large data sets well, and is popular in the pharmaceutical industry, among other applications. If you are already using SAS with some degree of success, this session may be too basic for you.

Copies of the workshop materials and additional SAS resources can be found here: http://libguides.rutgers.edu/content.php?pid=115296&sid=1208423

SAS is made available by OIRT at a discounted academic rate, currently $100/academic year.  Find it at software.rutgers.edu.  SAS is also available in campus computer labs and via the Apps server (see below).

 

§ Introduction to Stata (Oct 3) provides a single session overview of navigating the basics of Stata.  Stata is flexible and allows relatively easy access to programming features.  It is popular in economics among other areas. If you are already using SAS with some degree of success, this session may be too basic for you.

Copies of the workshop materials and additional Stata resources can be found here: http://libguides.rutgers.edu/content.php?pid=115296&sid=1208427

Stata is made available by OIRT via campus license with no additional charge to install for Rutgers users.  Find it at software.rutgers.edu.

 

Note: Accessing software via apps.rutgers.edu

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

 

§ Data Visualization in R (Oct 10, Oct 17, Oct 24) discusses principles for effective data visualization, and demonstrates techniques for implementing these using R.  Some prior familiarity with R is assumed (packages, structure, syntax), but the presentation can be followed without this background.  The three parts are:

(Oct 10) Part I – 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.  Some of the material here overlaps with Intro to R, pt 2, but at a higher level.        

 (Oct 17) Part II – Miscellany of Methods: illustrates a wide range of specific graphics for different contexts   

 (Oct 24) Part III – 3-D, Interactive and Big Data: presentation of 3-D data, interactive exploration data, and techniques for large datasets

Additional R resources can be found here: http://libguides.rutgers.edu/content.php?pid=115296&sid=1208422

R is freely downloadable from http://r-project.org

 


 

§ Time Series in R (Oct 15) is a special topics session covering the use of functions that analyze time series in R.  Content roughly parallels the material presented in more detail in the book Introductory Time Series with R (available via SpringerLink).

Additional R resources can be found here: http://libguides.rutgers.edu/content.php?pid=115296&sid=1208422

R is freely downloadable from http://r-project.org

 

§ Data Management Best Practices (Oct 29) is targeted to graduate students who are generating data for their own research.  The session discusses methods to organize, describe, backup, and archive your research data in order to ensure its future usability and accessibility.  Developing good habits for handling your data from the start will save time and frustration later, and increase the ultimate impact of your research.

Additional data management resources can be found here: http://libguides.rutgers.edu/data,management

               

 

Logistics, again

To repeat, all workshops will be held in the Teleconference Lecture Hall on the 4th floor of Alexander Library (169 College Avenue).  Workshops run from 7-8:30 pm (except for the two delayed starts indicated in the table above). 

These are open workshops, registration is not necessary.

Screencast versions of the presentations will be made available about the same time as the workshop dates at http://libguides.rutgers.edu/data.

Statistical Software Workshops – Extra Sessions – Spring 2013

The interest in the series has surpassed all of the Libraries’ expectations and experiences in prior semesters.  The only space available for this workshop on Busch campus has approximately 30 seats, but we have well over 100 registrations for each session.

In order to accommodate the extra demand, I will be offering extra sessions on consecutive Monday mornings, from 10:30 am to noon.
These will be held in Alexander Library on the College Avenue campus, in the 4th floor teleconference lecture hall.  This room has seating for 98, so I anticipate that we will be able to accomodate everyone.

I wanted to emphasize a few points.  Although the announcement was picked up by some of the official Rutgers listservs, these workshops are not official or required and carry no credits or certificates of completion.  They are introductions to help you get started with using the software.  The SAS and SPSS sessions in particular focus on navigating around the software for new users.  If you have used these packages before, you may not benefit much from the workshops.

The workshop materials are also available online at
http://libguides.rutgers.edu/content.php?pid=115296&sid=1208421
Take a look at these to decide if you would benefit from attending.

Once again, all extra sessions will be

Mondays, 10:30 am – noon
4th floor Teleconference Lecture Hall
Alexander Library, College Avenue Campus

The dates for each workshop are

Jan. 28 – Introduction to SPSS
Feb. 4 – Introduction to SAS
Feb. 11 – Introduction to R (part 1- Basic Statistics)
Feb. 18 – Introduction to R (part 2 – Graphics)
Feb. 25 – Introduction to R (part 3 – Data Manipulation)
March 4 -Time Series in R

Please come to the Alexander morning sessions if at all possible!

Statistical Software Workshops – Spring 2013

I will be holding a series of workshops on the statistical software packages R, SAS, and SPSS.  This Spring, all workshops will be held at the Library of Science and Medicine on Busch Campus, on Monday afternoons starting at 3:30 pm.  See below for details about each workshop.

SPSS is a popular statistical software system in the social sciences.

The “Introduction to SPSS” workshop is for students who are new to SPSS.  In this workshop, students will become familiar with the SPSS interface and its basic functions of managing data, doing statistical analysis and generating graphs. For the workshop, students will learn to use SPSS for Linux through remote access to Rutgers X Application Server (apps.rutgers.edu), which is available to all students.  Menus and commands are similar to Windows versions of SAS.

Introduction to SPSS will be held on Monday, January 28, from 3:30-5 pm in the Library of Science and Medicine’s Special Collections Room.

SAS is a powerful and long-standing statistical software system.

The “Introduction to SAS” workshop is for students who are new to SAS. In this workshop, students will become familiar with the SAS interface and its basic functions of managing data, doing statistical analysis and generating graphs. For the workshop, students will learn to use SAS for Linux through remote access to Rutgers X Application Server (apps.rutgers.edu), which is available to all students.  Menus and commands are similar to Windows versions of SAS.

Introduction to SAS will be held on Monday, February 4, from 3:30-5 pm in the Library of Science and Medicine’s Special Collections Room.

R is freely available, open source statistical software that has been widely adopted in the research community.  The  three-part workshop series, “An Introduction to R” covers

  • Statistical Techniques: Descriptive Statistics, Regression, Significance, Finding Additional Packages (Monday, February 11)
  • Graphics:  comparison of graphing techniques of basic R, lattice, and ggplot2 packages (Monday, February 18)
  • Data Manipulation:  Data Import and Transformation (Monday, February 25)

All three workshops will run from 3:30-5 pm in the Library of Science and Medicine’s Special Collections Room.  Each part is self-contained, but if you are new to R, all three will be beneficial.  The first workshop on Statistical Techniques will include a brief discussion of getting started with R (installation, basic command structure, etc.).  Please bring your laptop if you have R installed, or you can use laptops provided for the session.

In addition there will be a special topics session on Time Series in R, covering basic methods for handling time series data.  This session assumes basic knowledge of R equivalent to that covered in the introductory workshops.

  • The Time Series in R workshops will be held on Monday, March 4, from 3:30 to 5 pm in the Library of Science and Medicine’s Special Collections Room.

All R workshops are hands-on.  R software is available on the IHL lab PCs, and you can also bring your own laptop if you have R installed already.

Further information about R, SAS, and SPSS, including workshop materials and other tutorials is available on the Rutgers Data Libguide.  Click on “Software” to find the materials.

There is no need to register for any of these workshops – first come, first served!

Statistical Software Workshops – Fall 2012

I will be holding a series of workshops on the statistical software packages R, SAS, and SPSS.  This Fall, all workshops will be held at the Alexander Library in the 4th floor classrooms, on Thursday afternoons in October.  See below for details about each workshop.
R is freely available, open source statistical software that has been widely adopted in the research community.  The  three-part workshop series, “An Introduction to R” covers

  • Statistical Techniques: Descriptive Statistics, Regression, Significance, Finding Additional Packages (October 4)
  • Graphics:  comparison of graphing techniques of basic R, lattice, and ggplot2 packages (October 11)
  • Data Manipulation:  Data Import and Transformation (October 18)

All three workshops will run from 3-4:30 pm in IHL 413, Alexander Library.  Each part is self-contained, but if you are new to R, all three will be beneficial.  The first workshop on Statistical Techniques will include a brief discussion of getting started with R (installation, basic command structure, etc.).

In addition there will be a special topics session on Time Series in R, covering basic methods for handling time series data.  This session assumes basic knowledge of R equivalent to that covered in the introductory workshops.

  • Time Series in R will be held on October 18, from 1-2:30 in IHL 413, Alexander Library.

All R workshops are hands-on.  R software is available on the IHL lab PCs, and you can also bring your own laptop if you have R installed already.


SAS
is a powerful and long-standing statistical software system.

The “Introduction to SAS” workshop is for students who are new to SAS. In this workshop, students will become familiar with the SAS interface and its basic functions of managing data, doing statistical analysis and generating graphs. For the workshop, students will learn to use SAS for Linux through remote access to Rutgers X Application Server (apps.rutgers.edu), which is available to all students.  Menus and commands are similar to Windows versions of SAS.

Introduction to SAS will be held on October 4, from 1-2:30 in IHL 413, Alexander Library.

SPSS is a popular statistical software system in the social sciences.

The “Introduction to SPSS” workshop is for students who are new to SPSS.  In this workshop, students will become familiar with the SPSS interface and its basic functions of managing data, doing statistical analysis and generating graphs. For the workshop, students will learn to use SPSS for Linux through remote access to Rutgers X Application Server (apps.rutgers.edu), which is available to all students.  Menus and commands are similar to Windows versions of SAS.

Introduction to SPSS will be held on October 11, from 1-2:30 in IHL 415, Alexander Library.

Further information about R, SAS, and SPSS, including workshop materials and other tutorials is available on the Rutgers Data Libguide.  Click on “Software” to find the materials.

There is no need to register for any of these workshops – first come, first served!