Plot CDF of Known Distribution

To plot the cumulative distribution function of a standard distribution in a specific known range, we use the curve() function in the R Language. The curve() function draws a curve corresponding to a function over the interval. It takes an expression as an argument that in this case will be pnorm along with the limits from and to and returns a Normal CDF Plot.

Syntax: curve( expression, from, to )

Parameters:

• expression: determines the expression function for CDF calculation.
• from: determines the lower limit of data.
• to: determines the upper limit of data.

Here, is an example of a normal CDF plot

Output:

In this article, we will discuss how to plot a cumulative distribution function (CDF) in the R Programming Language.

The cumulative distribution function (CDF) of a random variable evaluated at x, is the probability that x will take a value less than or equal to x. To calculate the cumulative distribution function in the R Language, we use the ecdf() function. The ecdf() function in R Language is used to compute and plot the value of the Empirical Cumulative Distribution Function of a numeric vector. The ecdf() function takes the data vector as an argument and returns the CDF data.

Syntax: ecdf( data_vector )

Parameter:

• data_vector: determines the vector that contains data for CDF calculation.