gs_norm: Returns a normally distributed vector with mean and SD , with...

In shambhu112/gsim: Grammer of Data Simulation

Description

Returns a normally distributed vector with mean and SD , with min and max

Usage

gs_norm(.data, colname, mu, sd, round_to_digits = 0, min = NULL, max = NULL)

Arguments

.data	(required) the source data
colname	(optional) the col name for vector added to .data. Recommeded to set else will set at num1
mu	(required) the mean
sd	(required) standard deviation
round_to_digits	(optional) default is 0.
min	(optional) min cut of
maximum	(optional) max vut of

Value

appended dataframe with a numeric vector added as the last col

Examples

 gs_norm(data , colname = "age" , mu = 45 , sd = 20 , min = 18 , max =65 )

shambhu112/gsim documentation built on Jan. 21, 2021, 6:20 p.m.