LISA Statistical Short Courses

  1. LISA (Laboratory for Interdisciplinary Statistical Analysis) is providing a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses is on teaching practical statistical techniques for analyzing or collecting data.

    Tuesday, September 29, 2015, 5:15-6:45 pm;
    Location: 1080 Torgersen Hall;
    Instructor: Ana Maria Ortega Villa;
    Title: Basics of R;

    R is a powerful, versatile, and free statistical programming language, which has become increasingly popular among industrial and academic data analysts. This introductory course covers programming basics in R, including the definition and manipulation of data objects, importing/exporting data, simple data summaries, simple graphs and if time permits, simple linear regression. These concepts will be illustrated using both the Home Prices Data and also the National Longitudinal Mortality Survey. The Home Prices Data is a random sample of records of resales of homes from the files maintained by the Albuquerque Board of Realtors and will be used to illustrate the basic principles listed above. The power of R will then be demonstrated by performing similar operations on the National Longitudinal Mortality Survey, which includes nearly a million records with 38 measurements each. The course format includes lecture and computer laboratory components and attendees will have the opportunity to write, modify, and execute R codes for these data.

    This introductory session is part of a three-course series which assumes no previous coding experience in R or any other language. The intended audience for this course includes researchers who want to gain basic exposure to R with the ultimate goal of incorporating R into their research programs. More experienced users may wish to skip this course and attend subsequent courses on statistical and graphical techniques using R.

    Course files are available on the course webpage (http://www.lisa.stat.vt.edu/?q=node/9611).

    # vimeo.com/142557219 Uploaded 232 Plays 0 Comments
  2. LISA (Laboratory for Interdisciplinary Statistical Analysis) is providing a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses is on teaching practical statistical techniques for analyzing or collecting data.

    Tuesday, September 29, 2015, 5:15-6:45 pm;
    Location: 1080 Torgersen Hall;
    Instructor: Ana Maria Ortega Villa;
    Title: Basics of R;

    R is a powerful, versatile, and free statistical programming language, which has become increasingly popular among industrial and academic data analysts. This introductory course covers programming basics in R, including the definition and manipulation of data objects, importing/exporting data, simple data summaries, simple graphs and if time permits, simple linear regression. These concepts will be illustrated using both the Home Prices Data and also the National Longitudinal Mortality Survey. The Home Prices Data is a random sample of records of resales of homes from the files maintained by the Albuquerque Board of Realtors and will be used to illustrate the basic principles listed above. The power of R will then be demonstrated by performing similar operations on the National Longitudinal Mortality Survey, which includes nearly a million records with 38 measurements each. The course format includes lecture and computer laboratory components and attendees will have the opportunity to write, modify, and execute R codes for these data.

    This introductory session is part of a three-course series which assumes no previous coding experience in R or any other language. The intended audience for this course includes researchers who want to gain basic exposure to R with the ultimate goal of incorporating R into their research programs. More experienced users may wish to skip this course and attend subsequent courses on statistical and graphical techniques using R.

    Course files are available on the course webpage (http://www.lisa.stat.vt.edu/?q=node/9611).

    # vimeo.com/141671644 Uploaded 345 Plays 0 Comments
  3. LISA (Laboratory for Interdisciplinary Statistical Analysis) is providing a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses is on teaching practical statistical techniques for analyzing or collecting data.

    Wednesday, July 22, 2015, 4:00-6:00 pm;
    Location: 1080 Torgersen Hall;
    Instructor: Yuhyun Song;
    Title: Multivariate Clustering Analysis in R;

    Multivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variables under consideration. Multivariate analysis techniques may be used for several purposes, such as dimension reduction, clustering, or classification. The primary goal of this short course is to help researchers who want to understand multivariate data and explore multivariate analysis tools.

    In this course, we briefly talk about general multivariate analysis, then concentrate on clustering techniques. The goal of clustering analysis is to establish a set of meaningful groups of similar objects by investigating relationships between objects. For example, if you have data from customers, you may segment customers into clusters based on their buying habits and their demographical characteristics. Then, you can use clustering results to custom tailor your marketing efforts. In this course, we will explore two popular clustering techniques: Agglomerative hierarchical clustering and K-means clustering algorithm. Also, we discuss how to choose the number of clusters and how to visualize the clustering solutions. R software will be used in this course.

    This course covers:
    - What is clustering analysis? Why is clustering analysis important?
    - Agglomerative hierarchical clustering algorithm
    - K-means clustering algorithm
    - How do we choose the number of clusters?
    - How to visualize the clustering solutions

    Data Set:

    The data set can be downloaded at http://archive.ics.uci.edu/ml/datasets/Wine. The data set includes 178 wines grown in the same region in Italy. 13 attributes which are chemical analysis results of wines were measured from each wine. We will use this data set for exploring the clustering algorithms.

    The graph below shows the clustering results by the K-means clustering method (http://www.lisa.stat.vt.edu/sites/default/files/images/K-means-clustering.png).

    Course files are available on the course webpage (http://www.lisa.stat.vt.edu/?q=node/9082).

    # vimeo.com/135381791 Uploaded 1,523 Plays 0 Comments
  4. LISA (Laboratory for Interdisciplinary Statistical Analysis) is providing a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses is on teaching practical statistical techniques for analyzing or collecting data.

    Wednesday, July 15, 2015, 4:00-6:00 pm;
    Location: 1080 Torgersen Hall;
    Instructor: Will DeShong;
    Title: Graphics in R;

    R is a powerful, versatile, and free statistical programming language, which has become increasingly popular among industrial and academic data analysts. This introductory course covers programming basics in R, including the definition and manipulation of data objects, importing/exporting data, simple data summaries, simple graphs and if time permits, simple linear regression. These concepts will be illustrated using both the Home Prices Data and also the National Longitudinal Mortality Survey. The Home Prices Data is a random sample of records of resales of homes from the files maintained by the Albuquerque Board of Realtors and will be used to illustrate the basic principles listed above. The power of R will then be demonstrated by performing similar operations on the National Longitudinal Mortality Survey, which includes nearly a million records with 38 measurements each. The course format includes lecture and computer laboratory components and attendees will have the opportunity to write, modify, and execute R codes for these data.

    This introductory session is part of a three-course series which assumes no previous coding experience in R or any other language. The intended audience for this course includes researchers who want to gain basic exposure to R with the ultimate goal of incorporating R into their research programs. More experienced users may wish to skip this course and attend subsequent courses on statistical and graphical techniques using R.

    Course files are available on the course webpage (http://www.lisa.stat.vt.edu/?q=node/9079).

    # vimeo.com/134740277 Uploaded 43 Plays 0 Comments
  5. LISA (Laboratory for Interdisciplinary Statistical Analysis) is providing a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses is on teaching practical statistical techniques for analyzing or collecting data.

    Wednesday, June 24, 2015, 4:00-6:00 pm;
    Location: Fralin Auditorium;
    Instructor: Thomas Metzger;
    Title: Designing Experiments;

    Well-designed experiments can help researchers of all disciplines obtain results that are informative, efficient, and easy to analyze. Open-source data sets (through Minitab) will be utilized to demonstrate several useful techniques, designs, and methods of analysis for use in a variety of subjects. Researchers and students from all departments and levels of statistical experience are welcome.

    The Designing Experiments Short Course will focus on the following key topics:

    1) Basics of observational studies and experiments: correlation, causation, and variation

    2) Fundamental principles of experimental design: randomization, replication, and blocking

    3) Common experimental designs and their analyses: one-way and two-way layouts, randomized block design, ANOVA, and split plot design

    Course files are available on the course webpage (http://www.lisa.stat.vt.edu/?q=node/9077).

    # vimeo.com/132224631 Uploaded 99 Plays 0 Comments

LISA Statistical Short Courses

LISA

Each semester, LISA (Virginia Tech's Laboratory for Interdisciplinary Statistical Analysis) provides a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses is on teaching practical…


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Each semester, LISA (Virginia Tech's Laboratory for Interdisciplinary Statistical Analysis) provides a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses is on teaching practical statistical techniques for analyzing or collecting data. LISA screen and audio records these presentations and posts them here on Vimeo for individuals who were unable to attend.

Visit http://www.lisa.stat.vt.edu to learn more about LISA and our short course series. Course files for each presentation can be found on our website as well.

Feedback on out presentations or video recordings is always welcome and appreciated.

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