R Markdown

This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com.

When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:

summary(cars)
##      speed           dist       
##  Min.   : 4.0   Min.   :  2.00  
##  1st Qu.:12.0   1st Qu.: 26.00  
##  Median :15.0   Median : 36.00  
##  Mean   :15.4   Mean   : 42.98  
##  3rd Qu.:19.0   3rd Qu.: 56.00  
##  Max.   :25.0   Max.   :120.00

Including Plots

You can also embed plots, for example:

Note that the echo = FALSE parameter was added to the code chunk to prevent printing of the R code that generated the plot.

``` {r}install.packages(“readxl”) install.packages(“ggpubr”) library(readxl) library(ggpubr)

DatasetA <- read_excel(“C:/Users/pooja/Downloads/DatasetA.xlsx”)

mean(DatasetA$ExamScore)

sd(DatasetA$ExamScore)

mean(DatasetA$StudyHours)

sd(DatasetA$StudyHours)

DatasetB <- read_excel(“C:/Users/pooja/Downloads/DatasetB.xlsx”)

mean(DatasetB$ScreenTime)

sd(DatasetB$ScreenTime)

mean(DatasetB$SleepingHours)

sd(DatasetB$SleepingHours)

hist(DatasetA$StudyHours, main = “StudyHours”, breaks = 20, col = “lightblue”, border = “white”, cex.main = 1, cex.axis = 1, cex.lab = 1)

hist(DatasetA$ExamScore, main = “ExamScore”, breaks = 20, col = “lightcoral”, border = “white”, cex.main = 1, cex.axis = 1, cex.lab = 1)

shapiro.test(DatasetA$StudyHours)

shapiro.test(DatasetA$ExamScore)

hist(DatasetB$ScreenTime, main = “ScreenTime”, breaks = 20, col = “lightblue”, border = “white”, cex.main = 1, cex.axis = 1, cex.lab = 1)

hist(DatasetB$SleepingHours, main = “SleepingHours”, breaks = 20, col = “lightcoral”, border = “white”, cex.main = 1, cex.axis = 1, cex.lab = 1)

shapiro.test(DatasetB$ScreenTime)

shapiro.test(DatasetB$SleepingHours)

cor.test(DatasetA\(StudyHours,DatasetA\)ExamScore, method = “spearman”)

cor.test(DatasetB\(ScreenTime,DatasetB\)SleepingHours, method = “pearson”)

ggscatter( DatasetA, x = “StudyHours”, y = “ExamScore”, add = “reg.line”, xlab = “StudyHours”, ylab = “ExamScore” )

ggscatter( DatasetB, x = “ScreenTime”, y = “SleepingHours”, add = “reg.line”, xlab = “ScreenTime”, ylab = “SleepingHours” )```