Author:
Sawitzki, Günther.
Imprint:Boca Raton : CRC Press, c2009.
Descriptionxiv, 251 p., [8] p. of plates : ill. (some col.) ; 25 cm.
Note:"A Chapman & Hall book."
Note:1 Basic data analysis -- R programming conventions -- Generation of random numbers and patterns -- Random numbers -- Patterns -- Case study: distribution diagnostics -- Distribution functions -- Histograms -- Barcharts -- Statistics of distribution functions; Kolmogorov-Smirnov tests -- Monte Carlo confidence bands -- Statistics of histograms and related plots; X2-tests -- Moments and quantiles -- R complements -- Random numbers -- Graphical comparisons -- Functions -- Enhancing graphical displays -- R internals -- parse -- eval -- print -- Executing files -- Packages -- Statistical summary -- Literature and additional references -- 2 Regression -- General regression model -- Linear model -- Factors -- Least squares estimation -- Regression diagnostics -- More examples for linear models -- Model formulae -- Gauss-Markov estimator and residuals -- Variance decomposition and analysis of variance -- Simultaneous inference -- Scheffe's confidence bands -- Tukey's confidence intervals -- Case study: titre plates -- Beyond linear regression -- Transformations -- Generalised linear models -- Local regression -- R complements -- Discretisation -- External data -- Testing software -- R data types -- Classes and polymorphic functions -- Extractor functions -- Statistical summary -- Literature and additional references --3 Comparisons -- Shift/scale families, and stochastic order -- QQ plot, PP plot, and comparison of distributions -- Kolmogorov-Smirnov tests -- Tests for shift alternatives -- Road map -- Power and confidence -- Theoretical power and confidence -- Simulated power and confidence -- Quantile estimation -- Qualitative features of distributions -- Statistical summary -- Literature and additional references -- 4 Dimensions 1, 2, 3, ..., c -- R Complements -- Dimensions -- Selections -- Projections -- Marginal distributions and scatter plot matrices -- Projection pursuit -- Projections for dimensions 1, 2, 3, ... 7 -- Parallel coordinates -- Sections, conditional distributions and coplots -- Transformations and dimension reduction -- Higher dimensions -- Linear case -- Partial residuals and added variable plots -- Non-linear case -- Example: cusp non-linearity -- Case study: Melbourne temperature data -- Curse of dimensionality -- Case study: body fat -- High dimensions -- Statistical summary -- R as a programming language and environment -- Help and information -- Names and search paths -- Administration and customisation -- Basic data types -- Output for objects -- Object inspection -- System inspection -- Complex data types -- Accessing components -- Data manipulation -- Operators -- Functions -- Debugging and profiling -- Control structures -- Input and output to data streams; external data -- Libraries, packages -- Mathematical operators and functions; linear algebra -- Model descriptions -- Graphic functions -- High-level graphics -- Low-level graphics -- Annotations and legends -- Graphic parameters and Llyout -- Elementary statistical functions -- Distributions, random numbers, densities... -- Computing on the language.
Bibliography Note:Includes bibliographical references (p. 233-235) and indexes.
