A Primer in Biological Data Analysis and Visualization Using R

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Title: A Primer in Biological Data Analysis and Visualization Using R
Description: R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data. Drawing on Gregg Hartvigsen's extensive experience teaching biostatistics and modeling biological systems, this text is an engaging, practical, and lab-oriented introduction to R for students in the life sciences.Underscoring the importance of R and RStudio in organizing, computing, and visualizing biological statistics and data, Hartvigsen guides readers through the processes of entering data into R, working with data in R, and using R to visualize data using histograms, boxplots, barplots, scatterplots, and other common graph types. He covers testing data for normality, defining and identifying outliers, and working with non-normal data. Students are introduced to common one- and two-sample tests as well as one- and two-way analysis of variance (ANOVA), correlation, and linear and nonlinear regression analyses. This volume also includes a section on advanced procedures and a chapter introducing algorithms and the art of programming using R.
Authors: Gregg Hartvigsen
Resource Type: eBook.
Subjects: Electronic books, R (Computer program language), Mathematical statistics--Data processing
Categories: EDUCATION / Statistics, MEDICAL / Biostatistics, SCIENCE / Life Sciences / Biology, SOCIAL SCIENCE / Statistics, MATHEMATICS / Numerical Analysis
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-epub
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  Availability: 0
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DbLabel: eBook Collection (EBSCOhost)
An: 760980
RelevancyScore: 1057
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1057.36352539063
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  Data: A Primer in Biological Data Analysis and Visualization Using R
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  Label: Description
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  Data: R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data. Drawing on Gregg Hartvigsen's extensive experience teaching biostatistics and modeling biological systems, this text is an engaging, practical, and lab-oriented introduction to R for students in the life sciences.Underscoring the importance of R and RStudio in organizing, computing, and visualizing biological statistics and data, Hartvigsen guides readers through the processes of entering data into R, working with data in R, and using R to visualize data using histograms, boxplots, barplots, scatterplots, and other common graph types. He covers testing data for normality, defining and identifying outliers, and working with non-normal data. Students are introduced to common one- and two-sample tests as well as one- and two-way analysis of variance (ANOVA), correlation, and linear and nonlinear regression analyses. This volume also includes a section on advanced procedures and a chapter introducing algorithms and the art of programming using R.
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  Data: <searchLink fieldCode="AR" term="%22Gregg+Hartvigsen%22">Gregg Hartvigsen</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Electronic+books%22">Electronic books</searchLink><br /><searchLink fieldCode="DE" term="%22R+%28Computer+program+language%29%22">R (Computer program language)</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+statistics--Data+processing%22">Mathematical statistics--Data processing</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 610.727
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Electronic books
        Type: general
      – SubjectFull: R (Computer program language)
        Type: general
      – SubjectFull: Mathematical statistics--Data processing
        Type: general
    Titles:
      – TitleFull: A Primer in Biological Data Analysis and Visualization Using R
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Gregg Hartvigsen
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            NameFull: Gregg Hartvigsen
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2014
            – D: 23
              M: 04
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9780231166997
            – Type: isbn-electronic
              Value: 9780231537049
          Titles:
            – TitleFull: A Primer in Biological Data Analysis and Visualization Using R
              Type: main
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