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The Resource Twoway analysis of variance : statistical tests and graphics using R, Thomas W. MacFarland
Twoway analysis of variance : statistical tests and graphics using R, Thomas W. MacFarland
Resource Information
The item Twoway analysis of variance : statistical tests and graphics using R, Thomas W. MacFarland represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Boston University Libraries.This item is available to borrow from all library branches.
Resource Information
The item Twoway analysis of variance : statistical tests and graphics using R, Thomas W. MacFarland represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Boston University Libraries.
This item is available to borrow from all library branches.
 Summary
 In statistics, analysis of variance (ANOVA) is a collection of statistical models used to distinguish between an observed variance in a particular variable and its component parts. In its simplest form, ANOVA provides a statistical test of whether or not the means of several groups are all equal, and therefore generalizes a test between these groups. One test often used by statisticians and researchers in their work is the TwoWay ANOVA, which determines the differencesand possible interactionswhen variables are presented from the perspective of two or more categories. When a TwoWay ANOVA is implemented, it enables one to compare and contrast variables resulting from independent or joint actions. This brief provides guidance on how R can be used to facilitate TwoWay ANOVA for data analysis and graphical presentation. Along with instruction on the use of R and R syntax associated with TwoWay ANOVA, this brief will also reinforce the use of descriptive statistics and graphical figures to complement outcomes from parametric TwoWay ANOVA
 Language
 eng
 Extent
 1 online resource (vii, 139 pages).
 Contents

 Learn R with sample lessons in education and the social sciences, health, and the biological sciences
 Twoway analysis of variance (ANOVA) sample 1: comparison of scores on a final examination by teaching method and by status as a community college graduate
 Twoway analysis of variance (ANOVA) sample 2: comparison of systolic blood pressure readings by selfdeclared smoking habits and by selfdeclared drinking habits
 Twoway analysis of variance (ANOVA) sample 3: comparison of larvae counts by AgChem formulation and by AgChem application timeofday
 Isbn
 9781461421337
 Label
 Twoway analysis of variance : statistical tests and graphics using R
 Title
 Twoway analysis of variance
 Title remainder
 statistical tests and graphics using R
 Statement of responsibility
 Thomas W. MacFarland
 Subject

 Mathematical Concepts
 Statistics
 Statistical Theory and Methods
 R (Computer program language)
 Mathematics
 Mathematical statistics  Data processing
 Mathematics
 Mathematical statistics  Data processing
 R (Computer program language)
 R (Computer program language)
 Mathematical statistics
 Electronic resources
 Mathematical statistics  Data processing
 Mathematical statistics  Data processing
 Mathematical statistics  Data processing
 Mathematical Concepts
 R (Computer program language)
 Electronic Data Processing
 Mathematical statistics  Data processing
 R (Computer program language)
 R (Computer program language)
 Electronic Data Processing
 Language
 eng
 Summary
 In statistics, analysis of variance (ANOVA) is a collection of statistical models used to distinguish between an observed variance in a particular variable and its component parts. In its simplest form, ANOVA provides a statistical test of whether or not the means of several groups are all equal, and therefore generalizes a test between these groups. One test often used by statisticians and researchers in their work is the TwoWay ANOVA, which determines the differencesand possible interactionswhen variables are presented from the perspective of two or more categories. When a TwoWay ANOVA is implemented, it enables one to compare and contrast variables resulting from independent or joint actions. This brief provides guidance on how R can be used to facilitate TwoWay ANOVA for data analysis and graphical presentation. Along with instruction on the use of R and R syntax associated with TwoWay ANOVA, this brief will also reinforce the use of descriptive statistics and graphical figures to complement outcomes from parametric TwoWay ANOVA
 Cataloging source
 GW5XE
 http://library.link/vocab/creatorName
 MacFarland, Thomas W
 Image bit depth
 0
 LC call number
 QA276.4
 LC item number
 .M33 2012
 Literary form
 non fiction
 Nature of contents
 dictionaries
 http://library.link/vocab/relatedWorkOrContributorName
 SpringerLink
 Series statement
 SpringerBriefs in Statistics
 Series volume
 1
 http://library.link/vocab/subjectName

 Electronic Data Processing
 Mathematical Concepts
 Mathematics
 Statistics
 Mathematical statistics
 R (Computer program language)
 Mathematical statistics
 R (Computer program language)
 Label
 Twoway analysis of variance : statistical tests and graphics using R, Thomas W. MacFarland
 Antecedent source
 mixed
 Carrier category
 online resource
 Carrier category code
 cr
 Carrier MARC source
 rdacarrier
 Color
 not applicable
 Content category
 text
 Content type code
 txt
 Content type MARC source
 rdacontent
 Contents
 Learn R with sample lessons in education and the social sciences, health, and the biological sciences  Twoway analysis of variance (ANOVA) sample 1: comparison of scores on a final examination by teaching method and by status as a community college graduate  Twoway analysis of variance (ANOVA) sample 2: comparison of systolic blood pressure readings by selfdeclared smoking habits and by selfdeclared drinking habits  Twoway analysis of variance (ANOVA) sample 3: comparison of larvae counts by AgChem formulation and by AgChem application timeofday
 Dimensions
 unknown
 Extent
 1 online resource (vii, 139 pages).
 File format
 multiple file formats
 Form of item

 online
 electronic
 Isbn
 9781461421337
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code
 c
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number

 (OCoLC)769644675
 (OCoLC)ocn769644675
 Label
 Twoway analysis of variance : statistical tests and graphics using R, Thomas W. MacFarland
 Antecedent source
 mixed
 Carrier category
 online resource
 Carrier category code
 cr
 Carrier MARC source
 rdacarrier
 Color
 not applicable
 Content category
 text
 Content type code
 txt
 Content type MARC source
 rdacontent
 Contents
 Learn R with sample lessons in education and the social sciences, health, and the biological sciences  Twoway analysis of variance (ANOVA) sample 1: comparison of scores on a final examination by teaching method and by status as a community college graduate  Twoway analysis of variance (ANOVA) sample 2: comparison of systolic blood pressure readings by selfdeclared smoking habits and by selfdeclared drinking habits  Twoway analysis of variance (ANOVA) sample 3: comparison of larvae counts by AgChem formulation and by AgChem application timeofday
 Dimensions
 unknown
 Extent
 1 online resource (vii, 139 pages).
 File format
 multiple file formats
 Form of item

 online
 electronic
 Isbn
 9781461421337
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code
 c
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number

 (OCoLC)769644675
 (OCoLC)ocn769644675
Subject
 Electronic Data Processing
 Electronic Data Processing
 Electronic resources
 Mathematical Concepts
 Mathematical Concepts
 Mathematical statistics
 Mathematical statistics  Data processing
 Mathematical statistics  Data processing
 Mathematical statistics  Data processing
 Mathematical statistics  Data processing
 Mathematical statistics  Data processing
 Mathematical statistics  Data processing
 Mathematics
 Mathematics
 R (Computer program language)
 R (Computer program language)
 R (Computer program language)
 R (Computer program language)
 R (Computer program language)
 R (Computer program language)
 Statistical Theory and Methods
 Statistics
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