Module # 3 data.frame

Code Repository: https://github.com/rayhankhan-svg/r-programming-assignments/blob/main/README.md

R Code: 

# Create vectors

Name <- c("Jeb", "Donald", "Ted", "Marco", "Carly", "Hillary", "Bernie")

ABC <- c(4, 62, 51, 21, 2, 14, 15)

CBS <- c(12, 75, 43, 19, 1, 21, 19)


# Create data frame

poll_results <- data.frame(Name, ABC, CBS)


# View data frame

poll_results


# Compare polls

poll_results$Difference <- poll_results$CBS - poll_results$ABC

poll_results


Output: 

> # Compare polls
> poll_results$Difference <- poll_results$CBS - poll_results$ABC
> poll_results
     Name ABC CBS Difference
1     Jeb   4  12          8
2  Donald  62  75         13
3     Ted  51  43         -8
4   Marco  21  19         -2
5   Carly   2   1         -1
6 Hillary  14  21          7
7  Bernie  15  19          4
> 

Explanation: 

I used fictional 2016 presidential polling data from two sources, ABC and CBS, to generate a data frame in R for this assignment. The data frame made it simple to view and compare several variables within a single structure by organizing candidate names and the poll results that corresponded to them. After comparing the data, I noticed differences in polling figures for several candidates between ABC and CBS. Results can vary depending on the source, as evidenced by the fact that certain candidates received more support in one poll than in another. These discrepancies were evident and simple to examine thanks to the use of a data frame. This fictional dataset was used to practice working with data frames and comparing variables in R.

Comments

Post a Comment

Popular posts from this blog

Assignment #1

Image
GitHub link:  https://github.com/rayhankhan-svg/r-programming-assignments R and RStudio:  I ran into a few little setup and system compatibility problems when installing R and RStudio. R was easy to install from CRAN, however at first I wasn't sure which version to obtain for my operating system. I verified the correct installer for my OS after carefully examining the CRAN download page, and I continued without any more issues. The installation of RStudio went quite smoothly as well, but in order for RStudio to properly identify R, I had to make sure R was fully installed first.  Another problem I ran into was that when I first launched RStudio, output did not appear in the Console right away. The Console started operating regularly after restarting RStudio and confirming that R was correctly installed and identified in the system path. Also I verified that both R and RStudio were running the most recent versions by looking up their versions in the Console. By paying...
Read more

Module # 6 Doing math in R part 2

Github Link: https://github.com/rayhankhan-svg/r-programming-assignments R Code:  # 1) Matrices A and B A <- matrix(c(2,0,1,3), ncol=2) B <- matrix(c(5,2,4,-1), ncol=2) A B # a) A + B A_plus_B <- A + B A_plus_B # b) A - B A_minus_B <- A - B A_minus_B # 2) diag() matrix size 4 with diagonal values 4,1,2,3 D <- diag(c(4,1,2,3)) D # 3) Generate the 5x5 matrix using diag() M <- diag(3, 5)      # start with 3s on the diagonal M[1, 2:5] <- 1       # first row (cols 2-5) become 1 M[2:5, 1] <- 2       # first column (rows 2-5) become 2 M Output:  > # 1) Matrices A and B > A <- matrix(c(2,0,1,3), ncol=2) > B <- matrix(c(5,2,4,-1), ncol=2) >  > A      [,1] [,2] [1,]    2    1 [2,]    0    3 > B      [,1] [,2] [1,]    5    4 [2,]    2   -1 >  > # a) A + B ...
Read more