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  • This series of instructional videos focuses on Digital Literacy topics, and is meant to prepare students and researchers for scholarship in the digital age, and can be used in many different contexts. We invite you to use and share these videos!  ~Note: For library content that is not accessible, we are committed to providing reasonable accommodations and timely access to users with disabilities. For assistance, please submit an accessibility request for library material (https://www.lib.montana.edu/accessibility/request-form.html).
  • Digital Literacy Series: CatSearch Basics

    This series of instructional videos focuses on Digital Literacy topics, and is meant to prepare students and researchers for scholarship in the digital age, and can be used in many different contexts. We invite you to use and share these videos! ~Note: For library content that is not accessible, we are committed to providing reasonable accommodations and timely access to users with disabilities. For assistance, please submit an accessibility request for library material (https://www.lib.montana.edu/accessibility/request-form.html).

  • Check out the following study tips that will ease the stressful finals week, and maybe even help you boost your GPA!


Note: For library content that is not accessible, we are committed to providing reasonable accommodations and timely access to users with disabilities. For assistance, please submit an accessibility request for library material (https://www.lib.montana.edu/accessibility/request-form.html).
  • MSU Library: Tips for Finals

    Check out the following study tips that will ease the stressful finals week, and maybe even help you boost your GPA! Note: For library content that is not accessible, we are committed to providing reasonable accommodations and timely access to users with disabilities. For assistance, please submit an accessibility request for library material (https://www.lib.montana.edu/accessibility/request-form.html).

  • In this workshop, you will learn how to manipulate data in R using the dplyr and tidyr packages. Using dplyr, you will master the verbs of data manipulation to select, filter, mutate, arrange, and summarize your data, as well as, how to chain these operations together using the pipe operator. You will learn concepts of wide and long data formats, for which purposes each of these formats are useful, and how to reshape data frames from long to wide and back. These concepts will be presented in an interactive format, integrating computational practice throughout the workshop. This workshop was originally presented online through Microsoft Teams on March 31, 2021 by Sara Mannheimer, Greta Linse, and Mark Greenwood, using an interactive online tutorial:
https://rconnect.math.montana.edu/Data_Wrangling/
 

The workshop was sponsored by Montana State University (MSU) Department of Mathematics, Statistical Consulting and Research Services and the MSU Library.
~Note: For library content that is not accessible, we are committed to providing reasonable accommodations and timely access to users with disabilities. For assistance, please submit an accessibility request for library material (https://www.lib.montana.edu/accessibility/request-form.html).
  • Data Wrangling in R Workshop, Spring 2021 - Mark Greenwood, Sara Mannheimer and Greta Linse

    In this workshop, you will learn how to manipulate data in R using the dplyr and tidyr packages. Using dplyr, you will master the verbs of data manipulation to select, filter, mutate, arrange, and summarize your data, as well as, how to chain these operations together using the pipe operator. You will learn concepts of wide and long data formats, for which purposes each of these formats are useful, and how to reshape data frames from long to wide and back. These concepts will be presented in an interactive format, integrating computational practice throughout the workshop. This workshop was originally presented online through Microsoft Teams on March 31, 2021 by Sara Mannheimer, Greta Linse, and Mark Greenwood, using an interactive online tutorial: https://rconnect.math.montana.edu/Data_Wrangling/ The workshop was sponsored by Montana State University (MSU) Department of Mathematics, Statistical Consulting and Research Services and the MSU Library. ~Note: For library content that is not accessible, we are committed to providing reasonable accommodations and timely access to users with disabilities. For assistance, please submit an accessibility request for library material (https://www.lib.montana.edu/accessibility/request-form.html).

  • Extend your knowledge of R with relational and logical operators, conditional statements, loops, and functions. These concepts are first presented conceptually, with computational practice interspersed. Presented using an interactive online tutorial: https://rconnect.math.montana.edu/IntermediateR/ 
~Note: For library content that is not accessible, we are committed to providing reasonable accommodations and timely access to users with disabilities. For assistance, please submit an accessibility request for library material (https://www.lib.montana.edu/accessibility/request-form.html).
  • Intermediate R, Spring 2021 - Mark Greenwood, Sara Mannheimer and Greta Linse

    Extend your knowledge of R with relational and logical operators, conditional statements, loops, and functions. These concepts are first presented conceptually, with computational practice interspersed. Presented using an interactive online tutorial: https://rconnect.math.montana.edu/IntermediateR/ ~Note: For library content that is not accessible, we are committed to providing reasonable accommodations and timely access to users with disabilities. For assistance, please submit an accessibility request for library material (https://www.lib.montana.edu/accessibility/request-form.html).

  • This workshop will start with the building blocks of using RStudio to create and explore the data structures available in R. Then we'll learn some basic tools for inspecting, extracting, manipulating, summarizing, and visualizing data. We will also discuss accessing and using R packages, and how to use R's built-in help interface.  Workshop materials are available for download at: http://www.montana.edu/datascience/training/index.html#intro-r


The event was held in Cheever 214 on September 1, 2021 from 3:10 to 5:00 pm, with an online attendance option available. 


~Note: For library content that is not accessible, we are committed to providing reasonable accommodations and timely access to users with disabilities. For assistance, please submit an accessibility request for library material (https://www.lib.montana.edu/accessibility/request-form.html).
  • Introduction to R, Fall 2021 - Mark Greenwood, Sara Mannheimer and Greta Linse

    This workshop will start with the building blocks of using RStudio to create and explore the data structures available in R. Then we'll learn some basic tools for inspecting, extracting, manipulating, summarizing, and visualizing data. We will also discuss accessing and using R packages, and how to use R's built-in help interface. Workshop materials are available for download at: http://www.montana.edu/datascience/training/index.html#intro-r The event was held in Cheever 214 on September 1, 2021 from 3:10 to 5:00 pm, with an online attendance option available. ~Note: For library content that is not accessible, we are committed to providing reasonable accommodations and timely access to users with disabilities. For assistance, please submit an accessibility request for library material (https://www.lib.montana.edu/accessibility/request-form.html).

  • The ability to create meaningful and attractive data visualizations is an essential skill of data-intensive research. This workshop will give you an overview of the grammar of graphics plotting concepts from the ggplot2 package. We will explore ggplot’s three plotting layers, data, aesthetics, and geometries, for many univariate and multivariate graphics. These concepts will be presented in an interactive format, integrating computational practice throughout the workshop. 

The interactive tutorial used in the workshop is available at: https://rconnect.math.montana.edu/Data_viz_tutorial/ 

The event was held in Cheever 214 on September 29, 2021 from 3:10 to 5:00 pm, with an online attendance option available. The workshop was taught by Mark Greenwood, Greta Linse, and Sara Mannheimer.



~Note: For library content that is not accessible, we are committed to providing reasonable accommodations and timely access to users with disabilities. For assistance, please submit an accessibility request for library material (https://www.lib.montana.edu/accessibility/request-form.html).
  • Data Visualization in R, Fall 2021 - Mark Greenwood, Sara Mannheimer and Greta Linse

    The ability to create meaningful and attractive data visualizations is an essential skill of data-intensive research. This workshop will give you an overview of the grammar of graphics plotting concepts from the ggplot2 package. We will explore ggplot’s three plotting layers, data, aesthetics, and geometries, for many univariate and multivariate graphics. These concepts will be presented in an interactive format, integrating computational practice throughout the workshop. The interactive tutorial used in the workshop is available at: https://rconnect.math.montana.edu/Data_viz_tutorial/ The event was held in Cheever 214 on September 29, 2021 from 3:10 to 5:00 pm, with an online attendance option available. The workshop was taught by Mark Greenwood, Greta Linse, and Sara Mannheimer. ~Note: For library content that is not accessible, we are committed to providing reasonable accommodations and timely access to users with disabilities. For assistance, please submit an accessibility request for library material (https://www.lib.montana.edu/accessibility/request-form.html).

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