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R Cookbook : Proven Recipes for Data Analysis, Statistics, and Graphics

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Τίτλος: R Cookbook : Proven Recipes for Data Analysis, Statistics, and Graphics
Περιγραφή: Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R immediately. Solutions range from basic tasks to input and output, general statistics, graphics, and linear regression.Each recipe addresses a specific problem and includes a discussion that explains the solution and provides insight into how it works. If you're a beginner, R Cookbook will help get you started. If you're an intermediate user, this book will jog your memory and expand your horizons. You'll get the job done faster and learn more about R in the process.Create vectors, handle variables, and perform basic functionsSimplify data input and outputTackle data structures such as matrices, lists, factors, and data framesWork with probability, probability distributions, and random variablesCalculate statistics and confidence intervals and perform statistical testsCreate a variety of graphic displaysBuild statistical models with linear regressions and analysis of variance (ANOVA)Explore advanced statistical techniques, such as finding clusters in your data
Συγγραφείς: JD Long, Paul Teetor
Resource Type: eBook.
Θέματα: Multiple comparisons (Statistics), R (Computer program language), Mathematical statistics--Graphic methods--Data processing, Statistics--Data processing
Categories: COMPUTERS / Mathematical & Statistical Software, COMPUTERS / Programming / Open Source, COMPUTERS / Data Science / Data Modeling & Design, MATHEMATICS / Graphic Methods, MATHEMATICS / Probability & Statistics / General, MATHEMATICS / Mathematical Analysis, SCIENCE / Bioinformatics
Βάση Δεδομένων: eBook Index
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  Availability: 0
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PubType: eBook
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  Data: Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R immediately. Solutions range from basic tasks to input and output, general statistics, graphics, and linear regression.Each recipe addresses a specific problem and includes a discussion that explains the solution and provides insight into how it works. If you're a beginner, R Cookbook will help get you started. If you're an intermediate user, this book will jog your memory and expand your horizons. You'll get the job done faster and learn more about R in the process.Create vectors, handle variables, and perform basic functionsSimplify data input and outputTackle data structures such as matrices, lists, factors, and data framesWork with probability, probability distributions, and random variablesCalculate statistics and confidence intervals and perform statistical testsCreate a variety of graphic displaysBuild statistical models with linear regressions and analysis of variance (ANOVA)Explore advanced statistical techniques, such as finding clusters in your data
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 519.502855133
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Multiple comparisons (Statistics)
        Type: general
      – SubjectFull: R (Computer program language)
        Type: general
      – SubjectFull: Mathematical statistics--Graphic methods--Data processing
        Type: general
      – SubjectFull: Statistics--Data processing
        Type: general
    Titles:
      – TitleFull: R Cookbook : Proven Recipes for Data Analysis, Statistics, and Graphics
        Type: main
  BibRelationships:
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      – PersonEntity:
          Name:
            NameFull: JD Long
      – PersonEntity:
          Name:
            NameFull: Paul Teetor
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          Name:
            NameFull: JD Long
      – PersonEntity:
          Name:
            NameFull: Paul Teetor
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2019
            – D: 26
              M: 06
              Type: profile
              Y: 2019
          Identifiers:
            – Type: isbn-print
              Value: 9781492040682
            – Type: isbn-electronic
              Value: 9781492040651
          Titles:
            – TitleFull: R Cookbook : Proven Recipes for Data Analysis, Statistics, and Graphics
              Type: main
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