Introduction to Business Analytics with R

The code chunk creates an object for the date string. It is then formatted so the numeric values can be read into different functions/codes.

d <- '05/08/2020'
d <- as.Date(d, format = '%m/%d/%y')

The code chunk displays the type and the value of the object.

class(d)

## [1] "Date"

print(d)

## [1] "2020-05-08"

The lubridate package provides functions that make calcuations of dates easier in R. The code chunk displays the value for the requested function of d. In addition, it creates a new object name for that value.

library(lubridate)

## 
## Attaching package: 'lubridate'

## The following objects are masked from 'package:base':
## 
##     date, intersect, setdiff, union

year(d)

## [1] 2020

month(d) 

## [1] 5

week(d) 

## [1] 19

wday(d)

## [1] 6

d_year <- year(d)
d_month <- month(d)
d_week <- week(d)
d_day <- wday(d)

The code chunk creates an object that represents object d plus 25 days. This value is displayed using the print function

d_25 <- d + 25
print(d_25)

## [1] "2020-06-02"

The difftime function displays the time difference of 25 days between object d and d_25.

difftime(d_25, d, units = 'days')

## Time difference of 25 days