This is my first R Markdown document. I have made use of the inbuilt cars dataset.
str(cars)
## 'data.frame': 50 obs. of 2 variables:
## $ speed: num 4 4 7 7 8 9 10 10 10 11 ...
## $ dist : num 2 10 4 22 16 10 18 26 34 17 ...
#As we can see, the cars dataset has 50 observations with 2 columns namely speed and distance. The 50 observations could be 50 instances of the same car or could be different cars as well, it is not known.
cars$acc<-cars$dist/(cars$speed^2) #adding a third column here, which is acceleration for the 50 instances.
str(cars)
## 'data.frame': 50 obs. of 3 variables:
## $ speed: num 4 4 7 7 8 9 10 10 10 11 ...
## $ dist : num 2 10 4 22 16 10 18 26 34 17 ...
## $ acc : num 0.125 0.625 0.0816 0.449 0.25 ...
head(cars)
## speed dist acc
## 1 4 2 0.12500000
## 2 4 10 0.62500000
## 3 7 4 0.08163265
## 4 7 22 0.44897959
## 5 8 16 0.25000000
## 6 9 10 0.12345679
library(psych)
describe(cars)
## vars n mean sd median trimmed mad min max range skew
## speed 1 50 15.40 5.29 15.00 15.47 5.93 4.00 25.00 21.00 -0.11
## dist 2 50 42.98 25.77 36.00 40.88 23.72 2.00 120.00 118.00 0.76
## acc 3 50 0.19 0.10 0.16 0.17 0.05 0.08 0.62 0.55 2.23
## kurtosis se
## speed -0.67 0.75
## dist 0.12 3.64
## acc 6.04 0.01
#The describe command here provides us with some descriptive statistics for the chosen dataset.