library(readxl)
library(ggpubr)
## Loading required package: ggplot2
library(effsize)
library(rstatix)
##
## Attaching package: 'rstatix'
## The following object is masked from 'package:stats':
##
## filter
A6Q2 <- read_excel("//apporto.com/dfs/SLU/Users/hannahsmith3_slu/Downloads/A6Q2.xlsx")
Before <- A6Q2$Before
After <- A6Q2$After
Differences <- After - Before
mean(Before, na.rm = TRUE)
## [1] 76.13299
median(Before, na.rm = TRUE)
## [1] 75.95988
sd(Before, na.rm = TRUE)
## [1] 7.781323
mean(After, na.rm = TRUE)
## [1] 57.17874
median(After, na.rm = TRUE)
## [1] 58.36459
sd(After, na.rm = TRUE)
## [1] 14.39364
mean(Before, na.rm = TRUE)
## [1] 76.13299
median(Before, na.rm = TRUE)
## [1] 75.95988
sd(Before, na.rm = TRUE)
## [1] 7.781323
mean(After, na.rm = TRUE)
## [1] 57.17874
median(After, na.rm = TRUE)
## [1] 58.36459
sd(After, na.rm = TRUE)
## [1] 14.39364
hist(Differences,
breaks = 15,
col = "blue",
border = "white")

#Data for the difference scores appears abnormally distrubuted.
boxplot(Differences,
main = "Distribution of Score Differences (After - Before",
ylab = "Difference in Scores",
col = "blue",
border = "darkblue")

#The difference scores boxplot does not have outliers.
shapiro.test(Differences)
##
## Shapiro-Wilk normality test
##
## data: Differences
## W = 0.89142, p-value = 0.02856
#Shapiro-Wilk Difference Scores
#The data is abnormally distributed, (p = .03)
wilcox.test(Before, After, paired = TRUE,
na.action = na.omit)
##
## Wilcoxon signed rank exact test
##
## data: Before and After
## V = 210, p-value = 1.907e-06
## alternative hypothesis: true location shift is not equal to 0
df_long <- data.frame(id =
rep(1:length(Before), 2), time =
rep(c("Before", "After"), each =
length(Before)), score = c(Before, After))
wilcox_effsize(df_long, score ~ time, paired = TRUE)
## # A tibble: 1 × 7
## .y. group1 group2 effsize n1 n2 magnitude
## * <chr> <chr> <chr> <dbl> <int> <int> <ord>
## 1 score After Before 0.877 20 20 large
#A Wilcoxon Signed-Rank Test was conducted to determine if there was a difference in weight Before and After dieting.
#Before scores (Mdn = 75.96) were significantly different from after (Mdn = 58.36) scores, V = 210, p = <.001.
#The effect size was large, r = .88.