Twoway analysis of variance : statistical tests and graphics using R
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The work Twoway analysis of variance : statistical tests and graphics using R represents a distinct intellectual or artistic creation found in Boston University Libraries. This resource is a combination of several types including: Work, Language Material, Books.
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Twoway analysis of variance : statistical tests and graphics using R
Resource Information
The work Twoway analysis of variance : statistical tests and graphics using R represents a distinct intellectual or artistic creation found in Boston University Libraries. This resource is a combination of several types including: Work, Language Material, Books.
 Label
 Twoway analysis of variance : statistical tests and graphics using R
 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
 Image bit depth
 0
 LC call number
 QA276.4
 LC item number
 .M33 2012
 Literary form
 non fiction
 Nature of contents
 dictionaries
 Series statement
 SpringerBriefs in Statistics
 Series volume
 1
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