Intro to Data Science: R Programming Lab 1 Tasks

8/31/23, 11:38 PM mail-attachment.googleusercontent.com/attachment/u/0/?ui=2&ik=e407d84aa1&attid=0.1&permmsgid=msg-f:177580484565700… https://mail-attachment.googleusercontent.com/attachment/u/0/?ui=2&ik=e407d84aa1&attid=0.1&permmsgid=msg-f:1775804845657004717&th=18a4… 1/3 Intro to Data Science - Lab 1 Copyright 2022, Jeffrey Stanton and Jeffrey Saltz Please do not post online. Week 1 - Introduction to R # Enter your name here: Swapnil Deore Please include nice comments. Attribution statement: (choose only one and delete the rest) # 2. I did this lab assignment with help from the book and the professor and these Internet sources: Each student should run R-Studio on their computer (or via https://rstudio.cloud/ ). Remember that R should always be installed before R-Studio (if you are not using rstudio.cloud or Google Colab) 1. Add together all the numbers between 1 and 10 (inclusive). Take note of the result. Remember, every student should type and run the code on their machine. #calling sum function to calculate sum sum(1:10) ## [1] 55 2. Now create a vector of data that contains the numbers between 1 and 10 (inclusive). Here is a line of code to do that: myNumbers <- c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10) #creating vector myNumbers <- c(1:10) myNumbers ## [1] 1 2 3 4 5 6 7 8 9 10 3. Now add together all of the numbers that are in the vector myNumbers . There is a built-in function within R that can do this for you in one step: Take a guess as to the name of that function and run it on myNumbers . Check your result against the results of question 1. #calling sum function to calculate sum of vector elements sum(myNumbers) ## [1] 55 4. R can do a powerful operation called ** vector math ** in which a calculation runs on every element of a vector. Try vector math on myNumbers by adding 10 to each element of myNumbers, and storing the result in myNewNumbers . Print out myNewNumbers . #Adding 10 to every element of vector myNewNumbers = myNumbers + 10 myNewNumbers ## [1] 11 12 13 14 15 16 17 18 19 20

8/31/23, 11:38 PM mail-attachment.googleusercontent.com/attachment/u/0/?ui=2&ik=e407d84aa1&attid=0.1&permmsgid=msg-f:177580484565700… https://mail-attachment.googleusercontent.com/attachment/u/0/?ui=2&ik=e407d84aa1&attid=0.1&permmsgid=msg-f:1775804845657004717&th=18a4… 2/3 5. Efficiently calculate a sum of the numbers between 11 and 20 (inclusive), using techniques from the problems above. Hint: use c(11:20) sum(c(11:20)) ## [1] 155 6. Calculate a sum of all of the numbers between 1 and 100 (inclusive), using techniques from the problems above. sum(1:100) ## [1] 5050 7. Make sure you have a variable myNumbers , that is a vector of 10 numbers (1,2,3,4,5,6,7,8,9,10) myNumbers ## [1] 1 2 3 4 5 6 7 8 9 10 8. Type the following commands in the code cells below and run each one: mean(myNumbers) median(myNumbers) max(myNumbers) min(myNumbers) length(myNumbers) mean(myNumbers) ## [1] 5.5 median(myNumbers) ## [1] 5.5 max(myNumbers) ## [1] 10 min(myNumbers) ## [1] 1 length(myNumbers) ## [1] 10 9. Repeat the commands from above, this time adding a comment to each line of code in your file explaining what it does. The comment character is # . #Function calculates mean mean(myNumbers) ## [1] 5.5 #Function calculates median median(myNumbers) ## [1] 5.5 #Function calculates max max(myNumbers)

8/31/23, 11:38 PM mail-attachment.googleusercontent.com/attachment/u/0/?ui=2&ik=e407d84aa1&attid=0.1&permmsgid=msg-f:177580484565700… https://mail-attachment.googleusercontent.com/attachment/u/0/?ui=2&ik=e407d84aa1&attid=0.1&permmsgid=msg-f:1775804845657004717&th=18a4… 3/3 ## [1] 10 #Function calculates min min(myNumbers) ## [1] 1 #Function calculates length length(myNumbers) ## [1] 10 10. In a comment, explain the output of the following command: myNumbers > 5 #Will provide the boolean values(true or false) based on the > operator myNumbers > 5 ## [1] FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE TRUE TRUE 11. Explain what in is bigNum after executing the following command: bigNum <- myNumbers[myNumbers > 5] #bigNum will contain values which are greater than 5 bigNum <- myNumbers[myNumbers > 5] bigNum ## [1] 6 7 8 9 10 12. Whenever you need R to explain what a command does and how it works, use the ? command or the help() command. Add and run these commands: ?mean help("mean") ?mean ## starting httpd help server ... done help("mean")

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Lab01

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