normality_test {BRVM} | R Documentation |
Normality test with univariate data
Description
Performs different types of normality test.
Usage
normality_test(x, type.test)
Arguments
x |
a numeric vector or time series.. |
type.test |
character such as "Anderson-Darling","Shapiro-Wilk","Jarque Bera","Cramer-von Mises","Shapiro-Francia","Lilliefors (Kolmogorov-Smirnov)","Pearson chi-square", "Agostino". |
Value
a number that indicates the P-value of the normality test
Author(s)
Koffi Frederic SESSIE
See Also
stationarity_test
Other Test:
stationarity_test()
Other BRVM:
BRVM.index()
,
BRVM_cap()
,
BRVM_company_cap()
,
BRVM_company_rank()
,
BRVM_company_url()
,
BRVM_index_stock()
,
BRVM_index()
,
BRVM_market_activity()
,
BRVM_plot()
,
BRVM_stock_market()
,
BRVM_ticker_desc()
,
BRVM_traded_val()
,
company_cap()
,
company_country()
,
company_nbrank()
,
company_sector()
,
company_traded_val()
,
stationarity_test()
Examples
library(goftest)
library(tseries)
library(nortest)
library(fBasics)
# one and a half week stock index
# data including a weekend
y <-ts(c(5353.08,5409.24,5315.57,5270.53, 5211.66,NA,NA,5160.80,5172.37,5160.80,5172.37))
normality_test(y ,"Shapiro-Wilk")
my_data <- BRVM_get("snts", .from = "2020-02-05", .to = "2022-02-05" )
normality_test((my_data$Close), "Agostino")
normality_test((my_data$Close[1:50]), "Jarque Bera")
[Package BRVM version 5.3.0 Index]