Compute Cumulative Log Normal Probability Density in R Programming – plnorm() Function

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.**plnorm()**

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:**