June 2020
Beginner to intermediate
522 pages
9h 6m
Chinese
Content preview from R 语言经典实例（原书第 2 版）
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概率
｜
205
表 8-3：连续分布
连续分布名称 R 函数 参数
贝塔分布
beta
shape1
：
形状 1
。
shape2
：
形状 2
柯西分布
cauchy
location：
位置
。scale：
大小
卡方分布
chisq
df：
自由度
指数分布
exp
rate
：
发生率
F 分布
f
df1：
第一自由度
。df2：
第二自由度
伽马分布
gamma
rate：
发生率
。scale：
大小
对数正态分布
lnorm
meanlog
：
对数均值
。
sdlong
：
对数标准差
逻辑分布
logis
location
：
位置
。
scale
：
大小
正态分布
norm
mean：
均值
。sd：
标准差
学生
t
分布
t
df：
自由度
均匀分布
unif
min：
下边界
。max：
上边界
威布尔分布
weibull
shap
：
形状
。
scale
：
大小
Wilcoxon 分布
wilcox
m：
第一个样本的样本量
。n：
第二个样本的样本量
所有与分布有关的函数都需要分布参数，例如二项分布的 size 和 prob 或
者几何分布的 prob。玄机在于分布参数也许不是你所期望的。例如，我们
希望一个指数分布的参数为
β
，它是均值。然而，R 的惯例是把指数分布定
义为 rate=1/
β
，所以我经常提供错误的值。这个教训是，在调用一个与分布
有关的函数前，查找帮助说明页，确保参数是正确的。
得到关于概率分布的帮助
为了了解 R 软件中一个特殊的概率分布的函数信息，使用这个分布的帮助指令，并应用
该分布的全称。例如，显示与正态分布有关的函数：
?Normal
有些分布的名称不容易通过 ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.