Norm test

rm(list=ls())

require(ggplot2)
require(gridExtra)
require(nortest)
require(moments)
require(xts)

T, RH & Count 0 - grafički prikaz vremenskih serija

T - Grafički i formalni testovi normalnosti

## 
##  Anderson-Darling normality test
## 
## data:  dat$TP
## A = 372.25, p-value < 2.2e-16

## 
##  Cramer-von Mises normality test
## 
## data:  dat$TP
## W = 62.11, p-value = 7.37e-10

## 
##  Lilliefors (Kolmogorov-Smirnov) normality test
## 
## data:  dat$TP
## D = 0.053219, p-value < 2.2e-16

## 
##  Pearson chi-square normality test
## 
## data:  dat$TP
## P = 12536, p-value < 2.2e-16

## 
##  Anscombe-Glynn kurtosis test
## 
## data:  dat$TP
## kurt = 2.3115, z = -67.4150, p-value < 2.2e-16
## alternative hypothesis: kurtosis is not equal to 3

## 
##  Bonett-Seier test for Geary kurtosis
## 
## data:  dat$TP
## tau = 6.3787, z = -57.3730, p-value < 2.2e-16
## alternative hypothesis: kurtosis is not equal to sqrt(2/pi)

Seasonal trend decomposition - T

RH - Grafički i formalni testovi normalnosti

## 
##  Anderson-Darling normality test
## 
## data:  dat$RH
## A = 1111.1, p-value < 2.2e-16

## 
##  Cramer-von Mises normality test
## 
## data:  dat$RH
## W = 175.42, p-value = 7.37e-10

## 
##  Lilliefors (Kolmogorov-Smirnov) normality test
## 
## data:  dat$RH
## D = 0.074015, p-value < 2.2e-16

## 
##  Pearson chi-square normality test
## 
## data:  dat$RH
## P = 31582, p-value < 2.2e-16

## 
##  Anscombe-Glynn kurtosis test
## 
## data:  dat$RH
## kurt = 2.3266, z = -64.9940, p-value < 2.2e-16
## alternative hypothesis: kurtosis is not equal to 3

## 
##  Bonett-Seier test for Geary kurtosis
## 
## data:  dat$RH
## tau = 14.908, z = -54.664, p-value < 2.2e-16
## alternative hypothesis: kurtosis is not equal to sqrt(2/pi)

Seasonal trend decomposition - RH

Brojnost (Bebino dvoriste) - Grafički i formalni testovi normalnosti

## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

## 
##  Anderson-Darling normality test
## 
## data:  d$Beba
## A = 66.289, p-value < 2.2e-16

## 
##  Cramer-von Mises normality test
## 
## data:  d$Beba
## W = 13.562, p-value = 7.37e-10

## 
##  Lilliefors (Kolmogorov-Smirnov) normality test
## 
## data:  d$Beba
## D = 0.36165, p-value < 2.2e-16

## 
##  Pearson chi-square normality test
## 
## data:  d$Beba
## P = 2257.5, p-value < 2.2e-16

## 
##  Anscombe-Glynn kurtosis test
## 
## data:  d$Beba
## kurt = 63.474, z = 11.961, p-value < 2.2e-16
## alternative hypothesis: kurtosis is not equal to 3

## 
##  Bonett-Seier test for Geary kurtosis
## 
## data:  d$Beba
## tau = 34.238, z = 33.966, p-value < 2.2e-16
## alternative hypothesis: kurtosis is not equal to sqrt(2/pi)

Seasonal trend decomposition - culex count