Modern analysis of biological data : generalized linear models in R /

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Book written "for people who have only a basic knowledge of statistics (for example, people who have attended only a Basic statistics/Biostatistics course) but who need to correctly analyse the data resulting from their observations or experiments"--Page IX

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Pekár, Stano (Autor), Brabec, Marek (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Brno : Masaryk University Press, 2016.
Temas:
Quantitative research.
Analysis of variance.
Gaussian distribution.
Lognormal distribution.
Poisson distribution.
Distribution (Probability theory)
Recherche quantitative.
Analyse de variance.
Loi de Gauss (Statistique)
Distribution lognormale.
Distribution de Poisson.
Distribution (Théorie des probabilités)
distribution (statistics-related concept)
MATHEMATICS > Applied.
MATHEMATICS > Probability & Statistics > General.
Analysis of variance
Gaussian distribution
Lognormal distribution
Poisson distribution
Quantitative research
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Statistical software. The R environment ; Installation and use of R ; Basic operations ; Data frames
  • Exploratory data analysis (EDA). Expected value ; Variance ; Confidence intervals ; Summary tables ; Plots ; Distribution plots ; Scatter plots ; Box plots ; Lattice plots ; Interaction plots ; Bar plots ; Paired plots ; 3D plots ; Plots with whiskers ; Curves
  • Statistical modelling. Regression model ; General linear model ; Generalized linear model ; Searching for the "correct" model ; Model selection ; Model diagnosis
  • The first trial. An example ; EDA ; Presumed model ; Statistical analysis ; ANOVA table of Type I ; Nonlinear trends ; Removal of model terms ; Comparison of levels using contrasts ; Contrasts and the model parameterization ; Posterior simplification ; Diagnosis of the final model
  • Systematic part. Regression ; ANOVA and ANODEV ; ANCOVA and ANCODEV ; Syntax of the systematic part
  • Random part. Continuous measurements ; Counts and frequencies ; Relative frequencies
  • Gaussian distribution. Description of LM and GLM ; Regression ; Weighted regression ; Multiple regression ; Two-way ANOVA ; One-way ANCOVA
  • Gamma and lognormal distributions. Description of the Gamma model ; Description of the lognormal model ; Regression ; Two-way ANODEV ; Two-way ANCOVA
  • Poisson distribution. Description of the Poisson model ; One-way ANODEV ; Overdispersion and underdispersion ; Multiple regression ; One-way ANCODEV ; Three-way ANODEV (Contingency table)
  • Negative-bionomial distribution. Description of the negative-bionomial model ; One-way ANODEV
  • Bionomial distribution. Description of bionomial model ; Two-way ANODEV ; Overdispersion and underdispersion ; Regression ; One-way ANCODEV ; Binary one-way ANCODEV.

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