Using R for biostatistics
MacFarland, Thomas W.

FindBook      Google Book      Amazon      博客來     
  • Using R for biostatistics
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Using R for biostatistics/ by Thomas W. MacFarland, Jan M. Yates.
    作者: MacFarland, Thomas W.
    其他作者: Yates, Jan M.
    出版者: Cham :Springer International Publishing : : 2021.,
    面頁冊數: xxxv, 902 p. :ill. (some col.), digital ;24 cm.
    內容註: 1 Introduction: Biostatistics and R -- 1.1 Purpose of this Text -- 1.2 Development of Biostatistics -- 1.3 Development of R -- 1.4 How R is Used in this Text -- 1.5 Import Data into R -- 1.6 Addendum1: Efficient Programming with R, Project Workflow, and Good Programming Practices (gpp) -- 1.7 Addendum2: Preview of Descriptive Statistics and Graphics Using R -- 1.8 Addendum3: R and Beautiful Graphics -- 1.9 Addendum4: Research Designs Used in Biostatistics -- 1.10 Prepare to Exit, Save, and Later Retrieve this R Session -- 1.11 External Data and/or Data Resources Used in this Lesson -- 2 Data Exploration, Descriptive Statistics, and Measures of Central Tendency -- 2.1 Background -- 2.2 Import Data in Comma-Separated Values (.csv) File Format and/or Self Generate the Data Using R-Based Functions -- 2.3 Organize the Data and Display the Code Book -- 2.4 Conduct a Visual Data Check Using Graphics (e.g., Figures) -- 2.5 Descriptive Statistics for Initial Analysis of the Data -- 2.6 Quality Assurance, Data Distribution, and Tests for Normality -- 2.7 Statistical Test(s) -- 2.8 Summary -- 2.9 Addendum1: Specialized External Packages and Functions -- 2.10 Addendum2: Parametric v Nonparametric -- 2.11 Addendum3: Additional Practice Datasets for Data with Normal Distribution Patterns and Data That Do Not Exhibit Normal Distribution Patterns -- 2.12 Prepare to Exit, Save, and Later Retrieve this R Session -- 2.13 External Data and/or Data Resources Used in this Lesson -- 3 Student's t-Test for Independent Samples -- 3.1 Background -- 3.2 Import Data in Comma-Separated Values (.csv) File Format and/or Self Generate the Data Using R-Based Functions -- 3.3 Organize the Data and Display the Code Book -- 3.4 Conduct a Visual Data Check Using Graphics (e.g., Figures) -- 3.5 Descriptive Statistics for Initial Analysis of the Data -- 3.6 Quality Assurance, Data Distribution, and Tests for Normality -- 3.7 Statistical Test(s) -- 3.8 Summary of Outcomes -- 3.9 Addendum1: t-Statistic v z-Statistic -- 3.10 Addendum2: Parametric v Nonparametric -- 3.11 Addendum3: Additional Practice Datasets for Data with Normal Distribution Patterns and Data That Do Not Exhibit Normal Distribution Patterns -- 3.12 Prepare to Exit, Save, and Later Retrieve This R Session -- 3.13 External Data and/or Data Resources Used in this Lesson -- 4 Student's t-Test for Matched Pairs -- 4.1 Background -- 4.2 Import Data in Comma-Separated Values (.csv) File Format and/or Self Generate the Data Using R-Based Functions -- 4.3 Organize the Data and Display the Code Book -- 4.4 Conduct a Visual Data Check Using Graphics(e.g., Figures) -- 4.5 Descriptive Statistics for Initial Analysis of the Data -- 4.6 Quality Assurance, Data Distribution, and Tests for Normality -- 4.7 Statistical Test(s) -- 4.8 Summary of Outcomes -- 4.9 Addendum1: R-Based Tools for Unstacked (e.g. Wide) Data -- 4.10 Addendum2: Stacked Data and Student's t-Test for Matched Pairs -- 4.11 Addendum 3: The Impact of N on Student's t-Test -- 4.12 Addendum 4: Parametric v Nonparametric -- 4.13 Addendum5: Additional Practice Datasets for Data with Normal Distribution Patterns and Data That Do Not Exhibit Normal Distribution Patterns -- 4.14 Prepare to Exit, Save, and Later Retrieve This R Session -- 4.15 External Data and/or Data Resources Used in this Lesson -- 5 Oneway Analysis of Variance (ANOVA) -- 5.1 Background -- 5.2 Import Data in Comma-Separated Values (.csv) File Format and/or Self Generate the Data Using R-Based Functions -- 5.3 Organize the Data and Display the Code Book -- 5.4 Conduct a Visual Data Check Using Graphics(e.g., Figures) -- 5.5 Descriptive Statistics for Initial Analysis of the Data -- 5.6 Quality Assurance, Data Distribution, and Tests for Normality -- 5.7 Statistical Test(s) -- 5.8 Summary of Outcomes -- 5.9 Addendum1: Other Packages for Display of Oneway ANOVA -- 5.10 Addendum2: Parametric v Nonparametric -- 5.11 Addendum3: Additional Practice Data Sets -- 5.12 Prepare to Exit, Save, and Later Retrieve This R Session -- 5.13 External Data and/or Data Resources Used in this Lesson -- 6 Twoway Analysis of Variance (ANOVA) -- 6.1 Background -- 6.2 Import Data in Comma-Separated Values (.csv) File Format and/or Self Generate the Data Using R-Based Functions -- 6.3 Organize the Data and Display the Code Book -- 6.4 Conduct a Visual Data Check Using Graphics (e.g., Figures) -- 6.5 Descriptive Statistics for Initial Analysis of the Data -- 6.6 Quality Assurance, Data Distribution, and Tests for Normality -- 6.7 Statistical Test(s) -- 6.8 Summary of Outcomes -- 6.9 Addendum 1: Other Packages for Display of Twoway ANOVA -- 6.10 Addendum 2: Parametric v Nonparametric -- 6.11 Addendum 3: Additional Practice Data Sets -- 6.12 Prepare to Exit, Save, and Later Retrieve This R Session -- 6.13 External Data and/or Data Resources Used in this Lesson -- 7 Correlation, Association, Regression, Likelihood, and Prediction -- 7.1 Background -- 7.2 Import Data in Comma-Separated Values (.csv) File Format and/or Self Generate the Data Using R-Based Functions -- 7.3 Organize the Data and Display the Code Book -- 7.4 Quality Assurance, Data Distribution, and Tests for Normality -- 7.5 Statistical Test(s) -- 7.6 Summary of Outcomes -- 7.7 Addendum 1: Multiple Regression -- 7.8 Addendum 2: Likelihood and Odds Ratio -- 7.9 Addendum 3:Parametric v Nonparametric -- 7.10 Addendum 4: Additional Practice Data Sets -- 7.11 Prepare to Exit, Save, and Later Retrieve This R Session -- 7.12 External Data and/or Data Resources Used in this Lesson -- 8 Working with Large and Complex Datasets -- 8.1 Background -- 8.2 Import Data in Comma-Separated Values (.csv) File Format and/or Self Generate the Data Using R-Based Functions -- 8.3 Organize the Data and Display the Code Book -- 8.4 Conduct a Visual Data Check Using Graphics (e.g., Figures) -- 8.5 Descriptive Statistics for Initial Analysis of the Data -- 8.6 Quality Assurance, Data Distribution, and Tests for Normality -- 8.7 Statistical Test(s) -- 8.8 Summary of Outcomes -- 8.9 Addendum1: Additional Graphics, to Show Relationships Between and Among Data -- 8.10 Addendum2: Graphics Using the lattice Package -- 8.11 Addendum3: Graphics Using the ggplot2 Package -- 8.12 Addendum 4: Beyond an Introduction to R - Use the tidyverse to Create Subsets of Original Datasets -- 8.13 Prepare to Exit, Save, and Later Retrieve This R Session -- 8.14 External Data and/or Data Resources Used in this Lesson -- 9 Future Actions and Next Steps -- 9.1 Use of This Text -- 9.2 R and Beautiful Reporting with R Markdown -- 9.3 Future Use of R for Biostatistics -- 9.4 Big Data and Bio Informatics -- 9.5 External Resources -- 9.6 Contact the Authors.
    Contained By: Springer Nature eBook
    標題: Biometry - Data processing. -
    電子資源: https://doi.org/10.1007/978-3-030-62404-0
    ISBN: 9783030624040
館藏地:  出版年:  卷號: 
館藏
  • 1 筆 • 頁數 1 •
 
W9400340 電子資源 11.線上閱覽_V 電子書 EB QH323.5 .M334 2021 一般使用(Normal) 在架 0
  • 1 筆 • 頁數 1 •
多媒體
評論
Export
取書館
 
 
變更密碼
登入