library(tidyverse)
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr     1.1.4     ✔ readr     2.1.6
## ✔ forcats   1.0.1     ✔ stringr   1.6.0
## ✔ ggplot2   4.0.1     ✔ tibble    3.3.0
## ✔ lubridate 1.9.4     ✔ tidyr     1.3.1
## ✔ purrr     1.2.0     
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag()    masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
library(broom)
## Warning: package 'broom' was built under R version 4.5.3
library(ggplot2)
program_oncesi =c (25,28,30,27,26,29,31,28)
program_sonrasi =c (22,25,27,24,23,26,28,25)
stres_veri<-data.frame(
  id=1:8,
  program_oncesi = c(25,28,30,27,26,29,31,28),
  program_sonrasi = c(22,25,27,24,23,26,28,25)
)
stres_veri
##   id program_oncesi program_sonrasi
## 1  1             25              22
## 2  2             28              25
## 3  3             30              27
## 4  4             27              24
## 5  5             26              23
## 6  6             29              26
## 7  7             31              28
## 8  8             28              25
veri_long<-stres_veri %>% 
  pivot_longer(
    cols = c(program_oncesi,program_sonrasi),
    names_to = "zaman",
    values_to = "stres"
  )
veri_long
## # A tibble: 16 × 3
##       id zaman           stres
##    <int> <chr>           <dbl>
##  1     1 program_oncesi     25
##  2     1 program_sonrasi    22
##  3     2 program_oncesi     28
##  4     2 program_sonrasi    25
##  5     3 program_oncesi     30
##  6     3 program_sonrasi    27
##  7     4 program_oncesi     27
##  8     4 program_sonrasi    24
##  9     5 program_oncesi     26
## 10     5 program_sonrasi    23
## 11     6 program_oncesi     29
## 12     6 program_sonrasi    26
## 13     7 program_oncesi     31
## 14     7 program_sonrasi    28
## 15     8 program_oncesi     28
## 16     8 program_sonrasi    25
ggplot(veri_long,aes(x=zaman,y=stres,group=id))+
  geom_line(alpha=0.4)+
  geom_point(size=2)+
  labs(title = "program öncesi ve sonrası stres",
       x="zaman",
       y="stres")+
  theme_minimal()

ggplot(veri_long,aes(x=zaman,y=stres,fill=zaman))+
  geom_boxplot(alpha=0.6)+
  geom_jitter(width = 0.1,alpha=0.6)+
  theme_minimal()

sonuc_stres<-wilcox.test(
  stres_veri$program_oncesi,
  stres_veri$program_sonrasi,
  paried=TRUE
)
## Warning in wilcox.test.default(stres_veri$program_oncesi,
## stres_veri$program_sonrasi, : cannot compute exact p-value with ties
sonuc_stres
## 
##  Wilcoxon rank sum test with continuity correction
## 
## data:  stres_veri$program_oncesi and stres_veri$program_sonrasi
## W = 55, p-value = 0.01729
## alternative hypothesis: true location shift is not equal to 0

#wilcoxon signed-rank testi sonuçları,psikoeğitim programı sonrasında stres düzeylerinin anlamlı biççimde azaldığını göstermiştir.(v=36,p<.05).