fastStat (version 1.4)

normal: Normal Distribution Test

Description

Using Jarque Bera test, shapiro wilk test and Kolmogorov Smirnov test for one numeric object or numeric object in dataframe or matrix. Na is omitted in each object.

Usage

normal(x, num.names)

Arguments

x

numerica object or dataframe and matrix

num.names

numeric column names for dataframe and matrix. If missing, all numeric column names will be given.

Value

a dataframe containing kurtosis, skewness and p value for Jarque Bera test, shapiro wilk test and Kolmogorov Smirnov test. In star column, star represents p > 0.05, while underline taking the opposite.

Examples

# NOT RUN {
set.seed(2019)
rn1=rnorm(100,0,2)
df=data.frame(rn1=rnorm(100,0,2),
              rn2=rnorm(100,2,4))
#normal test for one object
normal(rn1)

#normal test for dataframe
normal(df)
# }