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I need a help with the a data analysis
In R go to File< New Script (New Document on MAC) – A new script window will pop up. You should write all of your code in a script window and not directly in the console.
The R code can be uploaded directly into R by copying and pasting everything below R Code DA3.
Note: Any time you see # this means that R will not read what follows. I will use this to make comments about the following command.
R Code DA3 and DA#4:
# Upload Wine volume data using the read.csv command. The file.choose() command with will
# open a search window that will allow you to select the file.
winedata = read.csv(file.choose(), header = TRUE)
# Make an appropriate visual display for the wine volumes data.
# Add a title.
# Add color and other aesthetics if you like.
# See week 3 lessons
# Calculate the mean and standard deviation of the wine volumes data. mean() and sd()
# Perform a t test using the t.test() command.
# The format is t.test(data, mu = mu_0) where data is a quantitative variable
# and mu_0 is the hypothesized mean.
#### PART IV Code #### YOU can try this if you are interested, but the output is already provided to you.
# Upload student data set
ST314.studentdata = read.csv(file.choose(), header = TRUE)
# creates a side by side boxplot with customized axes.
boxplot(social.time~us.home, data = ST314.studentdata,
horizontal = TRUE, col = c("dodgerblue", "darkblue"), main = "Self-reported Daily Time Spent on Social Networking Sites
between International and Domestic ST314 Students",
xlab = "Estimated Time in Minutes per Day", axes = FALSE, ylab = "Students")
axis(1,at = NULL)
axis(2, at= c(1,2), labels = c("International", "Domestic"))
# Calculate means, sd and sample size by group
aggregate(social.time~us.home, data = ST314.studentdata, mean)
aggregate(social.time~us.home, data = ST314.studentdata, sd)
aggregate(social.time~us.home, data = ST314.studentdata, length)
# two sample t test
t.test(social.time~us.home, data = ST314.studentdata, conf.level = 0.90)
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