Standard distributions in R.

D. Quicke, B. A. Butcher, R. K. Welton
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Abstract

Abstract There are a number of in-built probability distributions, including uniform, binomial, negative binomial, normal, log-normal, logistic, exponential, Chisquared, Poisson, gamma, Fisher's F, Student's t, Weibull and others. These are used to generate p-values from test statistics, to generate random values from a distribution or to generate expected distributions. This chapter deals with standard distributions in R (a programming language that has a huge range of inbuilt statistical and graphical functions), focusing on the normal, Student's t, lognormal, logistic, Poisson, gamma, and the Chi-squared.
R中的标准分布。
内建概率分布包括均匀分布、二项分布、负二项分布、正态分布、对数正态分布、logistic分布、指数分布、chisqusquared分布、Poisson分布、gamma分布、Fisher's F分布、Student's t分布、Weibull分布等。它们用于从测试统计数据生成p值,从分布生成随机值或生成期望分布。本章涉及R(一种具有大量内置统计和图形功能的编程语言)中的标准分布,重点是正态分布,Student's t,对数正态分布,逻辑分布,泊松分布,伽玛分布和卡方分布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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