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Analyzing Compositional Data with R
by van den Boogaart, K. Gerald.
Publication:
. XV, 258 p. 62 illus., 20 illus. in color.
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Solving Differential Equations in R
by Soetaert, Karline.
Publication:
. XVI, 248 p. 63 illus., 13 illus. in color.
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Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R
by Lin, Dan.
Publication:
. XV, 282 p. 96 illus., 4 illus. in color.
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Seamless R and C++ Integration with Rcpp
by Eddelbuettel, Dirk.
Publication:
. XXVIII, 220 p. 7 illus., 4 illus. in color.
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Bayesian Networks in R
by Nagarajan, Radhakrishnan.
Publication:
. XIII, 157 p. 36 illus.
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Modeling Psychophysical Data in R
by Knoblauch, Kenneth.
Publication:
. XV, 365 p. 103 illus., 4 illus. in color.
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Six Sigma with R
by Cano, Emilio L.
Publication:
. XXX, 284 p. 104 illus., 26 illus. in color.
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Graphical Models with R
by Højsgaard, Søren.
Publication:
. IX, 182p. 112 illus., 24 illus. in color.
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Competing Risks and Multistate Models with R
by Beyersmann, Jan.
Publication:
. XI, 245p. 49 illus.
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R by Example
by Albert, Jim.
Publication:
. XIII, 359 p. 125 illus., 21 illus. in color.
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An Introduction to Applied Multivariate Analysis with R
by Everitt, Brian.
Publication:
. XIV, 274p. 92 illus.
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Introducing Monte Carlo Methods with R
by Robert, Christian.
Publication:
. XX, 284 p.
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Introduction to Probability Simulation and Gibbs Sampling with R
by Suess, Eric A.
Publication:
. XIII, 307p.
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