From bb2e2a4c8566f4642c2c047e06826fd317fdce30 Mon Sep 17 00:00:00 2001 From: hyginn Date: Tue, 12 Oct 2021 12:17:53 +0200 Subject: [PATCH] Revert to canonical install.packages("name") idiom --- FND-STA-Probability_distribution.R | 50 ++++++++++++++++-------------- 1 file changed, 27 insertions(+), 23 deletions(-) diff --git a/FND-STA-Probability_distribution.R b/FND-STA-Probability_distribution.R index 64257e4..0bd3573 100644 --- a/FND-STA-Probability_distribution.R +++ b/FND-STA-Probability_distribution.R @@ -44,23 +44,23 @@ #TOC> 2.2.2 Fitting functions 436 #TOC> 2.2.2.1 Fit a normal distribution (using nls() ) 506 #TOC> 2.2.2.2 Fit a normal distribution (using nlrob()) ) 525 -#TOC> 2.2.2.3 Extreme Value distributions: Gumbel 551 -#TOC> 2.2.2.4 Extreme Value distributions: Weibull 576 -#TOC> 2.2.2.5 Logistic distribution 618 -#TOC> 2.2.2.6 Log-Logistic distribution 647 -#TOC> 2.2.2.7 Fitting a negative binomial distribution 676 -#TOC> 2.2.2.8 Fitting a binomial distribution 729 -#TOC> 2.3 The uniform distribution 841 -#TOC> 2.4 The Normal Distribution 861 -#TOC> 3 quantile-quantile comparison 902 -#TOC> 3.1 qqnorm() 912 -#TOC> 3.2 qqplot() 978 -#TOC> 4 Quantifying the difference 995 -#TOC> 4.1 Chi2 test for discrete distributions 1029 -#TOC> 4.2 Kullback-Leibler divergence 1120 -#TOC> 4.2.1 An example from tossing dice 1131 -#TOC> 4.2.2 An example from lognormal distributions 1253 -#TOC> 4.3 Continuous distributions: Kolmogorov-Smirnov test 1296 +#TOC> 2.2.2.3 Extreme Value distributions: Gumbel 552 +#TOC> 2.2.2.4 Extreme Value distributions: Weibull 579 +#TOC> 2.2.2.5 Logistic distribution 621 +#TOC> 2.2.2.6 Log-Logistic distribution 650 +#TOC> 2.2.2.7 Fitting a negative binomial distribution 679 +#TOC> 2.2.2.8 Fitting a binomial distribution 732 +#TOC> 2.3 The uniform distribution 844 +#TOC> 2.4 The Normal Distribution 864 +#TOC> 3 quantile-quantile comparison 905 +#TOC> 3.1 qqnorm() 915 +#TOC> 3.2 qqplot() 981 +#TOC> 4 Quantifying the difference 998 +#TOC> 4.1 Chi2 test for discrete distributions 1032 +#TOC> 4.2 Kullback-Leibler divergence 1124 +#TOC> 4.2.1 An example from tossing dice 1135 +#TOC> 4.2.2 An example from lognormal distributions 1257 +#TOC> 4.3 Continuous distributions: Kolmogorov-Smirnov test 1300 #TOC> #TOC> ========================================================================== @@ -527,8 +527,9 @@ sum(resid(fit)^2) # There's a bit of an art to chosing starting parameters correctly and if the # nls() fit does not converge, more robust methods are called for. -pkg <- "robustbase" -if (! requireNamespace(pkg, quietly = TRUE)) { install.packages(pkg) } +if (! requireNamespace("robustbase", quietly = TRUE)) { + install.packages("robustbase") +} x <- 0:28 plot(x, tu, type="s") @@ -553,8 +554,10 @@ sum(resid(fit)^2) # Many processes that involve "best-of" choices are better modelled with # so-called extreme-value distributions: here is the Gumbel distribution # from the evd package. -pkg <- "evd" -if (! requireNamespace(pkg, quietly = TRUE)) { install.packages(pkg) } + +if (! requireNamespace("evd", quietly = TRUE)) { + install.packages("evd") +} x <- 0:28 plot(x, tu, type="s") @@ -1055,8 +1058,9 @@ hist(rG1.5, breaks = myBreaks, col = myCols[4]) # package information - plotrix has _many_ useful utilities to enhance # plots or produce informative visualizations. -pkg <- "plotrix" -if (! requireNamespace(pkg, quietly = TRUE)) { install.packages(pkg) } +if (! requireNamespace("plotrix", quietly = TRUE)) { + install.packages("plotrix") +} # Package information: # library(help = plotrix) # basic information