在 R 编程中对 t 分布执行逆概率累积密度分析 – qt()函数

R 语言中的qt()函数用于返回学生 t 分布的逆概率累积密度。

Syntax: qt(x, df)
Parameters:
x: Random variable
df: Degree of Freedom

示例 1：

Python3

# R Program to perform Inverse
# Cumulative Density Analysis
 
# Calling qt() Function
qt(.95, 10)
qt(.542, 15)

Python3

# R Program to perform Inverse
# Cumulative Density Analysis
 
# Creating a vector
x <- seq(.1, .9, by = .1)
 
# Calling qt() Function
y <- qt(x, 15)
 
# Plotting probability distribution graph
plot(x, y, type ="l")

输出：

[1] 1.812461
[1] 0.1072654

示例 2：

Python3

# R Program to perform Inverse
# Cumulative Density Analysis
 
# Creating a vector
x <- seq(.1, .9, by = .1)
 
# Calling qt() Function
y <- qt(x, 15)
 
# Plotting probability distribution graph
plot(x, y, type ="l")

输出：