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Compute Cumulative Log Normal Probability Density in R Programming – plnorm() Function
  • Last Updated : 25 Jun, 2020

plnorm() function in R Language is used to compute the log normal value of the cumulative probability density function. It also creates a plot of the cumulative distribution of log normal density.

Syntax: plnorm(vec)

Parameters:
vec: x-values for normal density

Example 1:




# R program to compute cumulative
# log normal probability density
  
# Creating x-values for density
x <- seq(1, 10, by = 1)
  
# Calling plnorm() function
y <- plnorm(x)
y

Output:

 [1] 0.5000000 0.7558914 0.8640314 0.9171715 0.9462397 0.9634142 0.9741672
 [8] 0.9812116 0.9859978 0.9893489

Example 2:




# R program to compute cumulative
# log normal probability density
  
# Creating x-values for density
x <- seq(1, 10, by = 0.1)
  
# Calling plnorm() function
y <- plnorm(x)
  
# Plot a graph
plot(y)

Output:

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