統計言語 R 探訪 match.arg() 編 - ほくそ笑む
統計言語 R の関数で、選択肢を受け取る引数を持つものがあります。 例えば、t.test() の Usage(使い方)を見ると、次のように書いてあります。 t.test(x, y = NULL, alternative = c("two.sided", "less", "greater"), mu = 0, paired = FALSE, var.equal = FALSE, conf.level = 0.95, ...) この alternative という引数に注目です。 alternative = c("two.sided", "less", "greater"), と書いてありますが、これは alternative という引数には "two.sided", "less", "greater" のどれかを渡してほしいということを表しています。 これは R の関数を使うときのお約束事な
CRAN: Package mgcv
mgcv: Mixed GAM Computation Vehicle with Automatic Smoothness Estimation Generalized additive (mixed) models, some of their extensions and other generalized ridge regression with multiple smoothing parameter estimation by (Restricted) Marginal Likelihood, Generalized Cross Validation and similar, or using iterated nested Laplace approximation for fully Bayesian inference. See Wood (2017) <doi:10.1
Writing R Extensions
Acknowledgements ¶ The contributions to early versions of this manual by Saikat DebRoy (who wrote the first draft of a guide to using .Call and .External) and Adrian Trapletti (who provided information on the C++ interface) are gratefully acknowledged. 1 Creating R packages ¶ Packages provide a mechanism for loading optional code, data and documentation as needed. The R distribution itself include
CRAN - Package cairoDevice
Package ‘cairoDevice’ was removed from the CRAN repository. Formerly available versions can be obtained from the archive. Archived on 2021-12-15 as orphaned and with no remaining dependants. A summary of the most recent check results can be obtained from the check results archive. Please use the canonical form https://CRAN.R-project.org/package=cairoDevice to link to this page.
CRAN - Package mice
mice: Multivariate Imputation by Chained Equations Multiple imputation using Fully Conditional Specification (FCS) implemented by the MICE algorithm as described in Van Buuren and Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03>. Each variable has its own imputation model. Built-in imputation models are provided for continuous data (predictive mean matching, normal), binary data (logistic re
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Upcoming NAMESPACE, Depends, Imports changes for 2.14.0 (some definitions/use please)
Integrate nonparametric curve in R
CRAN - Package gridSVG
Embedding a miniature plot within a plot
Plotting a 3D surface plot with contour map overlay, using R
Building Predictive Models in R Using the caret Package | Journal of Statistical Software
CRAN - Package gputools
CRAN: Package survC1
What's a good strategy to get a decent overview of big correlation matrices or pairs?
CRAN: Package maxLik
CRAN - Package scales
How do I loop in a list and access both names and attributes?
How to make graphics with transparent background in R using ggplot2?
ipw: An R Package for Inverse Probability Weighting | Journal of Statistical Software