Using RStudio, How would I keep track of the mileage each time I fill the car’s gas tank? At my last fill-ups, the mileage values were: 65311, 65624, 65908, 66219, 66499, 66821, 67145, and 67447, respectively. Enter these numbers into an R vector. Use the function diff() on the data. What is the result? Use the function length() to find the lengths of the miles and x vectors. Explain the result. Use R functions to find the maximum and minimum number of miles between fill-ups, the average number of miles between fill-ups, and the standard deviation. refer to Statistical functions
Using RStudio, How would I keep track of the mileage each time I fill the car’s gas tank? At my last fill-ups, the mileage values were: 65311, 65624, 65908, 66219, 66499, 66821, 67145, and 67447, respectively.
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Enter these numbers into an R vector. Use the function diff() on the data. What is the result?
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Use the function length() to find the lengths of the miles and x vectors. Explain the result.
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Use R functions to find the maximum and minimum number of miles between fill-ups, the average number of miles between fill-ups, and the standard deviation. refer to Statistical functions
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Tracking your commute times for two weeks (10 days), and you recorded the following times in minutes: 17 16 20 24 22 15 21 15 17 22
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Enter this into a vector called commute. Use R functions to find the average and a statistical summary.
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Suppose the 24 was a mistake; it should have been 18. How can you fix this? Do so, and then find the new average. Hint: Index into the vector, then use an assignment statement to fix this mistake.
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How many times was your commute 20 minutes or more?
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What percent of your commutes are less than 17 minutes? How can you answer this with R?
- Briefly explain the result of the following commands. Hint: Refer Vector data extraction summary in CheatSheet
- commute + 1
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commute[-6]
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sum(commute>21 | commute<16)
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commute[commute>=17]
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sum(commute[commute>20])
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commute[4:6]
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