A Primer in Biological Data Analysis and Visualization Using R
Saved in:
| 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 correctly entering and analyzing data 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-normally distributed 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 outlining algorithms and the art of programming using R.This second edition has been revised to be current with the versions of R software released since the book's original publication. It features updated terminology, sources, and examples throughout. |
| Authors: | Gregg Hartvigsen |
| Resource Type: | eBook. |
| Subjects: | Mathematical statistics--Data processing, R (Computer program language) |
| Categories: | SCIENCE / Life Sciences / Biology, COMPUTERS / Languages / General, EDUCATION / Statistics, MEDICAL / Biostatistics, SOCIAL SCIENCE / Statistics, MATHEMATICS / Numerical Analysis |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf Text: Availability: 0 |
|---|---|
| Header | DbId: nlebk DbLabel: eBook Collection (EBSCOhost) An: 2662842 RelevancyScore: 1103 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 1103.19409179688 |
| IllustrationInfo | |
| ImageInfo | – Size: thumb Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$2662842$PDF&s=r – Size: medium Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$2662842$PDF&s=d |
| Items | – Name: Title Label: Title Group: Ti Data: A Primer in Biological Data Analysis and Visualization Using R – Name: Abstract Label: Description Group: Ab 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 correctly entering and analyzing data 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-normally distributed 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 outlining algorithms and the art of programming using R.This second edition has been revised to be current with the versions of R software released since the book's original publication. It features updated terminology, sources, and examples throughout. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Gregg+Hartvigsen%22">Gregg Hartvigsen</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Mathematical+statistics--Data+processing%22">Mathematical statistics--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22R+%28Computer+program+language%29%22">R (Computer program language)</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22SCIENCE+%2F+Life+Sciences+%2F+Biology%22">SCIENCE / Life Sciences / Biology</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Languages+%2F+General%22">COMPUTERS / Languages / General</searchLink><br /><searchLink fieldCode="ZK" term="%22EDUCATION+%2F+Statistics%22">EDUCATION / Statistics</searchLink><br /><searchLink fieldCode="ZK" term="%22MEDICAL+%2F+Biostatistics%22">MEDICAL / Biostatistics</searchLink><br /><searchLink fieldCode="ZK" term="%22SOCIAL+SCIENCE+%2F+Statistics%22">SOCIAL SCIENCE / Statistics</searchLink><br /><searchLink fieldCode="ZK" term="%22MATHEMATICS+%2F+Numerical+Analysis%22">MATHEMATICS / Numerical Analysis</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=2662842 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 005.133 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Mathematical statistics--Data processing Type: general – SubjectFull: R (Computer program language) Type: general Titles: – TitleFull: A Primer in Biological Data Analysis and Visualization Using R Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gregg Hartvigsen – PersonEntity: Name: NameFull: Gregg Hartvigsen IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2021 – D: 23 M: 06 Type: profile Y: 2021 Identifiers: – Type: isbn-electronic Value: 9780231554404 Titles: – TitleFull: A Primer in Biological Data Analysis and Visualization Using R Type: main |
| ResultId | 1 |