Converting data to time series

A time series is a sequence of data points where each data point is associated with a particular time.

For example, the adjusted close of a stock is the closing price of a stock on a particular day. The time series data is stored in an R object called a time series object and it is created by using the function ts() in R.

The basic syntax of ts is given here:

ts(data, start, end, frequency) 

Here:

• data: It is a vector or matrix containing the data values
• start: It is the starting point or time of first observation
• end: It is the time point of last observation
• frequency: It is the number of data points per unit time

Let us consider a vector which is given by the following code:

> StockPrice<
-c(23.5,23.75,24.1,25.8,27.6,27,27.5,27.75,26,28,27,25.5) 
> StockPrice 

Now convert it into a time series object, which can be done with the following code:

> StockPricets<- ts(StockPrice,start = c(2016,1),frequency = 12)   
> StockPricets  

The output is as follows...