Compute Cumulative Logistic Density in R Programming - plogis() Function

Compute Log Normal Probability Density in R Programming - dlnorm() Function

Last Updated : 25 Jun, 2020

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

Syntax: dlnorm(vec) Parameters: vec: x-values for normal density

Example 1:

Python3 1==

# R program to compute
# log normal probability density

# Creating x-values for density
x <- seq(1, 10, by = 1)

# Calling dlnorm() function
y <- dlnorm(x)
y

Output:

 [1] 0.398942280 0.156874019 0.072728256 0.038153457 0.021850715 0.013354538
 [7] 0.008581626 0.005739296 0.003965747 0.002815902

Example 2:

Python3 1==

# R program to compute
# log normal probability density

# Creating x-values for density
x <- seq(1, 10, by = 0.1)

# Calling dlnorm() function
y <- dlnorm(x)

# Plot a graph
plot(y)

Output:

Compute Cumulative Logistic Density in R Programming - plogis() Function

N

nidhi_biet

Improve

Article Tags :

Similar Reads

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

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: Python3 1== # R program to

Compute the Logistic Density in R Programming - dlogis() Function

dlogis() function in R Language is used to compute logistic density of the distribution. It also creates a plot of the density of the logistic distribution. Syntax: dlogis(vec) Parameters: vec: Vector of x-values for density Example 1: Python3 1== # R program to calculate # logistic density # Create

Compute Randomly Drawn Log Normal Density in R Programming - rlnorm() Function

rlnorm() function in R Language is used to compute random log normal density among a range of inputs. Syntax: rlnorm(N) Parameters: N: Sample Size Example 1: Python3 1== # R program to generate # random log normal density points # Setting seed for # random number generation set.seed(1000) # Set samp

Compute the Value of Poisson Density in R Programming - dpois() Function

dpois() function in R Language is used to compute the Poisson Density for a set of Integer values. It also creates a density plot of poisson distribution.Â Syntax: dpois(vec, lambda)Parameters:Â vec: Sequence of integer valuesÂ lambda: Average number of events per intervalÂ Example 1:Â Python3 # R pro

Compute Cumulative Logistic Density in R Programming - plogis() Function

plogis() function in R Language is used to compute logistic cumulative density of the distribution. It also creates a plot of the density of the logistic cumulative distribution. Syntax: plogis(vec) Parameters: vec: Vector of x-values for density Example 1: Python3 1== # R program to calculate # cum

Perform Probability Density Analysis on t-Distribution in R Programming - dt() Function

dt() function in R Language is used to return the probability density analysis on the Student t-distribution with random variable x and degree of freedom df. Syntax: dt(x, df) Parameters: x: Random Variable df: Degree of Freedom Example 1: Python3 1== # R Program to perform # Probability Density Ana

Perform the Probability Cumulative Density Analysis on t-Distribution in R Programming - pt() Function

pt() function in R Language is used to return the probability cumulative density of the Student t-distribution. Syntax: pt(x, df) Parameters: x: Random variable df: Degree of Freedom Example 1: Python3 1== # R Program to perform # Cumulative Density Analysis # Calling pt() Function pt(2, 10) pt(.542

Compute the Negative Binomial Density in R Programming - dnbinom() Function

dnbinom() function in R Language is used to compute the value of negative binomial density. It also creates a plot of the negative binomial density. Syntax: dnbinom(vec, size, prob) Parameters: vec: x-values for binomial density size: Number of trials prob: Probability Example 1: Python3 1== # R pro

Compute Randomly Drawn Logistic Density in R Programming - rlogis() Function

rlogis() function in R Language is used to compute random logistic density among a range of inputs. Syntax: rlogis(N) Parameters: N: Sample Size Example 1: Python3 1== # R program to generate # random logistic density points # Setting seed for # random number generation set.seed(1000) # Set sample s

Compute the Value of F Density in R Programming - df() Function

df() function in R Language is used to compute the density of F Distribution over a sequence of numeric values. It also plots a density graph for F Distribution. Syntax: df(x, df1, df2) Parameters: x: Numeric Vector df: Degree of Freedom Example 1: Python3 1== # R Program to compute # F Density # Cr