# Merge Time Series in R

In this article, we will discuss how to merge time series in the R Programming language.

Time Series in R is used to analyze the behaviors of an object over a period of time. In R Language, it can be done using the ts() function. Time series takes the data vector and each data is connected with timestamp value. The ts() function is used to forecast the behavior of an asset in business for a period of time.

Syntax:ts(data, start, end, frequency)

Parameters:

data:determines the data vector used.start:determines the date stamp of the first observation.end:determines the date stamp of the last observation.frequency:determines the number of observations per unit time.

**Example: C**reated time series using vector data using the ts() function

## R

`# create data vector` `x <- ` `c` `(1,2,3,4,5,6,7,8,9,10,` ` ` `11,12,13,14,15,16,17)` ` ` `# creating time series object` `# from date October, 2021` `ts` `(x, ` `c` `(2021,10),frequency=12 )` |

**Output:**

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2021 1 2 3 2022 4 5 6 7 8 9 10 11 12 13 14 15 2023 16 17

## Merge time series in R

To merge two time series in R, we use the ts() function but as parameter data, we pass a vector that contains all the time series to be merged.

Syntax:ts( c(ts_1, ts_2), start = start(ts_1), frequency = frequency(ts_1) )

**Example:**

Here, we have created two-time series and merged them using the above syntax.

## R

`# create data vectors` `x <- ` `c` `(1,2,3,4,5,6,7,8,9,10,11,12)` `y <- ` `c` `(13,14,15,16,17,18,19,20,21,22,23,24)` ` ` `# creating time series objects` `ts_1 <- ` `ts` `(x, ` `c` `(2021,10),frequency=12 )` `ts_2 <- ` `ts` `(y, ` `c` `(2022,10),frequency=12 )` ` ` `# merge time series` `merged_ts <- ` `ts` `(` `c` `(ts_1, ts_2), ` ` ` `start = ` `start` `(ts_1),` ` ` `frequency = ` `frequency` `(ts_1))` ` ` `# print merged time series` `merged_ts` |

**Output:**

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2021 1 2 3 2022 4 5 6 7 8 9 10 11 12 13 14 15 2023 16 17 18 19 20 21 22 23 24