3. Statistics Python Functions

3.1. rnorm

statspy.basics.rnorm(n, mean=0, sd=1)[source]

Random generation for the normal distribution with mean equal to mean and standard deviation equation to sd same functions as rnorm in r: rnorm(n, mean=0, sd=1)

Parameters:
  • n – the number of the observations
  • mean – vector of means
  • sd – vector of standard deviations
Returns:

the vector of the random numbers
Author:

Wenqiang Feng
Email:

von198@gmail.com

3.2. dnorm

statspy.basics.dnorm(x, mean=0, sd=1, log=False)[source]

Density of the normal distribution with mean equal to mean and standard deviation equation to sd same functions as rnorm in r: dnorm(x, mean=0, sd=1, log=FALSE)

Parameters:
  • x – the vector od quantiles
  • mean – vector of means
  • sd – vector of standard deviations
Returns:

the list of the density
Author:

Wenqiang Feng
Email:

von198@gmail.com

3.3. runif

statspy.basics.runif(n, min=0, max=1)[source]

Random generation from the uniform distribution same functions as rnorm in r: runif(n, min=0, max=1)

Parameters:
  • n – the number of the observations
  • min – the lower limit of the distribution
  • max – the upper limit of the distribution
Returns:

the list of n uniform random numers
Author:

Wenqiang Feng
Email:

von198@gmail.com