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plot(cars)

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 15.4

## [1] 15.4

 42.98

## [1] 42.98

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4+1

## [1] 5

5-2

## [1] 3

2/2

## [1] 1

2^3

## [1] 8

2

## [1] 2

Here we are computing Log base 10

log(2.72)

## [1] 1.000632

log10(10)

## [1] 1

log(10,base=2)

## [1] 3.321928

**Computing some offensive metrics in Baseball

BA=(29/112)
BA

## [1] 0.2589286

Battling_Average=round(BA,digit =3 )
Battling_Average

## [1] 0.259

What is the batting average of a player that bats 42 hits in 212 at bats?

BA=(42/212)
BA

## [1] 0.1981132

#OBP=(H+BB+HBP)/(At Bats+H+BB+HBP+SF)
#AB=515,H=172,BB=84,HBP=5,SF=6
OBP=(172+84+5)/(515+172+84+5+6)
OBP

## [1] 0.3337596

On_Base_Percentage=round(OBP,digits = 3)
On_Base_Percentage

## [1] 0.334

#Question_3:Compute the OBP for a player with the following general stats:
#AB=565,H=156,BB=65,HBP=3,SF=7
OBP=(156+65+3)/(565+156+653+7)
OBP

## [1] 0.1622013

#Question_4: Define two vectors,runs_per_9innings and hits_per_9innings, each with five elements. 
Run_per_9innings <- c(14, 18, 15, 22, 16) 
Run_per_9innings

## [1] 14 18 15 22 16

Hits_per_9innings <- c(22, 14, 20, 10, 12)
Hits_per_9innings

## [1] 22 14 20 10 12

#Question_5: Get the first element of hits_per_9innings.

Hits_per_9innings[1]

## [1] 22

#Question_6: Get the last element of hits_per_9innings.
Hits_per_9innings[5]

## [1] 12

#Question_7: Find the most frequent value of hits_per_9innings.

# Function to find the mode, i.e. most frequent value
getMode <- function(x) {
     ux <- unique(x)
     ux[which.max(tabulate(match(x, ux)))]
 }

getMode(Hits_per_9innings)

## [1] 22