Вычислить совокупную логарифмическую нормальную плотность вероятности в программировании на R - функция plnorm ()
Опубликовано: 17 Февраля, 2022
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 densityx <- seq(1, 10, by = 1) # Calling plnorm() functiony <- plnorm(x)y |
Выход:
[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 densityx <- seq(1, 10, by = 0.1) # Calling plnorm() functiony <- plnorm(x) # Plot a graphplot(y) |
Выход: 