library(car)
## Loading required package: carData
library(tidyverse)
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr 1.1.4 ✔ readr 2.1.5
## ✔ forcats 1.0.1 ✔ stringr 1.6.0
## ✔ ggplot2 4.0.1 ✔ tibble 3.3.0
## ✔ lubridate 1.9.4 ✔ tidyr 1.3.2
## ✔ purrr 1.2.0
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ✖ dplyr::recode() masks car::recode()
## ✖ purrr::some() masks car::some()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
library(lsr) #LEVENE TESTİ İÇİN
set.seed(1923) #TEKRARLANABİLİRLİK İÇİN
deney_grubu<-rnorm(50, mean=45,sd=8)#deney grubu
kontrol_grubu<-rnorm(50,mean=52,sd=8)#kontrol grubu
fare_verisi<-data.frame(grup=rep(c("deney","kontrol"),each=50)) %>%
mutate(süre=round(c(deney_grubu,kontrol_grubu),2))
head(fare_verisi)
## grup süre
## 1 deney 39.81
## 2 deney 45.56
## 3 deney 53.49
## 4 deney 56.08
## 5 deney 52.47
## 6 deney 42.59
tail(fare_verisi)
## grup süre
## 95 kontrol 46.23
## 96 kontrol 59.74
## 97 kontrol 52.52
## 98 kontrol 50.93
## 99 kontrol 62.96
## 100 kontrol 64.11
fare_istatistiği<-fare_verisi %>%
group_by(grup) %>%
summarise(N=n(),
ortalama=mean(süre),
standart_sapma=sd(süre))
print(fare_istatistiği)
## # A tibble: 2 × 4
## grup N ortalama standart_sapma
## <chr> <int> <dbl> <dbl>
## 1 deney 50 45.2 8.81
## 2 kontrol 50 52.4 7.92
fare_verisi %>%
group_by(grup) %>%
summarise(shapiro_p=shapiro.test(süre)$p.value)
## # A tibble: 2 × 2
## grup shapiro_p
## <chr> <dbl>
## 1 deney 0.409
## 2 kontrol 0.810
leveneTest(süre~grup,data=fare_verisi)
## Warning in leveneTest.default(y = y, group = group, ...): group coerced to
## factor.
## Levene's Test for Homogeneity of Variance (center = median)
## Df F value Pr(>F)
## group 1 0.5295 0.4686
## 98
sonuc<-t.test(süre~grup,data=fare_verisi,var.equal=TRUE)
print(sonuc)
##
## Two Sample t-test
##
## data: süre by grup
## t = -4.3425, df = 98, p-value = 3.436e-05
## alternative hypothesis: true difference in means between group deney and group kontrol is not equal to 0
## 95 percent confidence interval:
## -10.601619 -3.951181
## sample estimates:
## mean in group deney mean in group kontrol
## 45.1614 52.4378
cohensD(süre~grup,data=fare_verisi)
## [1] 0.8685009