Compute the value of Quantile Function over Wilcoxon Signedrank Distribution in R Programming - qsignrank() Function

Compute the value of Quantile Function over F Distribution in R Programming - qf() Function

Last Updated : 25 Jun, 2020

qf() function in R Language is used to compute the value of quantile function over F distribution for a sequence of numeric values. It also creates a density plot of quantile function over F Distribution.

Syntax: qf(x, df1, df2) Parameters: x: Numeric Vector df: Degree of Freedom

Example 1:

Python3 1==

# R Program to compute value of
# Quantile Function over F Distribution

# Creating a sequence of x-values
x <- seq(0, 1, by = 0.2)

# Calling qf() Function
y <- qf(x, df1 = 2, df2 = 3)
y

Output:

[1] 0.0000000 0.2405958 0.6085817 1.2630236 2.8860266       Inf

Example 2:

Python3 1==

# R Program to compute the value of
# Quantile Function over F Distribution

# Creating a sequence of x-values
x <- seq(0, 1, by = 0.02)

# Calling qf() Function
y <- qf(x, df1 = 2, df2 = 3)

# Plot a graph
plot(y)

Output:

Compute the value of Quantile Function over Wilcoxon Signedrank Distribution in R Programming - qsignrank() Function

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