Analyze some Data

Project Description I need a help with the a data analysis Additional Project Description: 05/06/2017 at 1:43 WAT 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 [login to view URL] command. The [login to view URL]() command with will # open a search window that will allow you to select the file. winedata = [login to view URL]([login to view URL](), 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 [login to view URL]() command. # The format is [login to view URL](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 [login to view URL] = [login to view URL]([login to view URL](), header = TRUE) # creates a side by side boxplot with customized axes. boxplot([login to view URL]~[login to view URL], data = [login to view URL], 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([login to view URL]~[login to view URL], data = [login to view URL], mean) aggregate([login to view URL]~[login to view URL], data = [login to view URL], sd) aggregate([login to view URL]~[login to view URL], data = [login to view URL], length) # two sample t test [login to view URL]([login to view URL]~[login to view URL], data = [login to view URL], [login to view URL] = 0.90) Previous Next