Mod12

 In this module, we were asked to create a R Markdown file. 

Fortunately for me, I already have to use R Markdown for another class and had everything installed. 

R Markdown is an awesome way to share your code and results with others especially if they don't have R installed or the dependents. 

The important thing that makes an R Markdown file is the headers. In this header, I added the title, author, date, and then output. 





The cool thing about R Markdown is that you can share your code, which is done like this:

In this snip of code I am adding the ggplot library. 






Then in this I am loading then inspecting data: 









To create the HTML file, I select "knit". 


Check out my github to see what happens next! 


https://github.com/Midiquin/LIS4370.720S21/blob/main/Mod12.html

Comments

Post a Comment

Popular posts from this blog

Module #4

Image
 This week we were asked to create a boxplot and histogram of faux local hospital data. As well as discuss the outcome of our results regarding patients' BPs & MD’s Ratings. From the first graph (boxplot), we can observe that patients with a higher final decision had visited the hospital more frequently than the lower final decision. We can also observe that those with higher blood pressure visited the hospital more frequently than those with lower blood pressure.  The second graph (histogram), displays that there were more "bad" first assessments with the patients with one N/A.   The second graph (histogram2), displays that there were more "high" blood pressure assesments by doctor #2.   library(ggplot2) #Data  p1<- c(0.6,103,'bad','low','low') p2<- c(0.3,87,'bad','low','high') p3<- c(0.4,32,'bad','high','low') p4<- c(0.4,42,'bad','high','high') p5...
Read more

Module #6

 In this module, we did more math with matrices!  We were asked to examine two matrices, add them, minus them, and then use the diag() function. We were also asked to replicate/recreate a matrix with certain criteria.  #Start with two matrices A = matrix(c(2, 0, 1, 3), ncol = 2) B = matrix(c(5, 2,4, -1), ncol = 2) #Call/View matrices A      [,1] [,2] [1,]    2    1 [2,]    0    3 B      [,1] [,2] [1,]    5    4 [2,]    2   -1 #It appears that both matrices are the same size, therefore can be combined, added, subtracted.. etc..  # Find A + B C <- A + B #Call / View matrix C      [,1] [,2] [1,]    7    5 [2,]    2    2 # Find A - B D <- A - B #Call / View matrix D      [,1] [,2] [1,]   -3   -3 [2,]   -2    4 #Use the diag() function to build a mat...
Read more