wk9

 

assas

2023-03-08

datai = read.csv("StressAnxiety.csv")
datai = datai[,-1]
# create an empty plot with the correct axis limits
plot(datai$stress, datai$anxiety, xlab="stress", ylab="anxiety")

# add the points to the plot
points(datai$stress, datai$anxiety, pch=16, col="blue")

# add a title
title("Stress vs Anxiety")
 #2
library(lattice)

xyplot(datai$anxiety ~ datai$stress, data = datai, type = c("h"))

#3
library(ggplot2)
ggplot(datai, aes(x = stress, y = anxiety, group = stress)) +
  geom_boxplot()

#while R's built-in plotting functions can be useful for basic plotting needs, lattice and ggplot2 offer much more powerful and flexible visualization capabilities that enable users to create more complex and customized plots. However, there is a learning curve for using these packages, and they may not be the best choice for very simple plots or when speed is a priority.