2. Statistics R can be used to provide a comprehensive set of statistical tables. Functions are provided to evaluate the cumulative distribution function P(X ≤ x), the probability density function and the quantile function (given q, the smallest x such that P(X ≤ x) > q), and to simulate from the distribution.
3. Distributions Distribution R name additional arguments beta beta shape1, shape2, ncp binomial binom size, prob Cauchy cauchy location, scale chi-squared chisqdf, ncp exponential exp rate F f df1, df2, ncp gamma gamma shape, scale geometric geomprob
4. Distributions Distribution R name additional arguments hypergeometric hyper m, n, k log-normal lnormmeanlog, sdlog logistic logis location, scale negative binomial nbinomsize, prob normal norm mean, sd Poisson pois lambda Student’s t tdf, ncp uniform unif min, max Weibullweibull shape, scale Wilcoxonwilcox m, n
10. functions Using the functions median(), mean(), var(), sd(), fivenum(), summary()
11. Stem-and-leaf plots stem produces a stem-and-leaf plot of the values in x. The parameter scale can be used to expand the scale of the plot. A value of scale=2 will cause the plot to be roughly twice as long as the default.
