This is a sample document created for the IE 5342 Fall 2026 semester. I am going demonstrate using R Markdown in this document. The first thing, is to add some sample data.
Load Required Libraries
library(DoE.base)
The sample data will be the vectors \(X\) and \(Y\).
X<-c(1,2,3,4,5,6)
Y<-c(5,3,8,6,5,3)
grab some other data in DC_Motors
df<-read.csv("https://raw.githubusercontent.com/tmatis12/datafiles/refs/heads/main/DC_Motors.csv")
Now, I would like to create a histogram, oops I meant
scatterplot, of the data
plot(X,Y,main="Scatterplot of the Vectors X and Y")
Look at how cool this is.
We would now like to create some descriptive statistics as it relates to the data that was inputted previously. The first thing that we want, are the measures of location and dispersion
cat("summary measures of X \n",summary(X),"\n")
## summary measures of X
## 1 2.25 3.5 3.5 4.75 6
cat("summary measures of Y \n",summary(Y),"\n")
## summary measures of Y
## 3 3.5 5 5 5.75 8
Variance
var(X)
## [1] 3.5
var(Y)
## [1] 3.6
\[Y=\frac{2}{3}\]
library(DoE.base)
X<-c(1,2,3,4,5,6)
Y<-c(5,3,8,6,5,3)
df<-read.csv("https://raw.githubusercontent.com/tmatis12/datafiles/refs/heads/main/DC_Motors.csv")
cat("summary measures of X \n",summary(X),"\n")
cat("summary measures of Y \n",summary(Y),"\n")
var(X)
var(Y)