# Merge Time Series in R (Example)

In this R tutorial, I’ll explain how to merge two time series objects in the R programming language.

The tutorial will contain the following contents:

Let’s dive into it!

## Example Data

Let’s create two time series objects (ts) in R that we can use in the example later on:

```time1 <- ts(rep(1, 12), # Create first time series start = c(2019, 1), frequency = 12) time2 <- ts(rep(2, 12), # Create second time series start = c(2020, 1), frequency = 12)```

## Merge Time Series in R

Typically, we would merge two objects above each other with the rbind R function. Let’s see how this looks with ts objects:

`rbind(time1, time2) # Rbind times series (not working)` Figure 1: Merging Time Series with rbind() is not Working Properly.

Not good! As Figure 1 shows, the times series attributes are lost, when we use the rbind function.

The correct way to combine multiple ts objects is the following:

```ts(c(time1, time2), # Combined time series object start = start(time1), frequency = frequency(time1))``` Figure 2: ts Function with Frequency Specification Works Well.

Figure 2 shows how a good merging of two time series objects should look like.

## Video & Further Resources

Have a look at the following video of Jordan Kern’s YouTube channel. In the video, he illustrate how to analyze time series data.

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Furthermore, you may have a look at some of the other articles on my homepage.

In this article you learned how to retain the structure of time series data when it is combined in the R programming language. Don’t hesitate to let me know in the comments section, in case you have further questions.

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• May 13, 2020 4:51 am

Hi, I want to know about start=. How to use the same start= in combine ? Because it changes to every year.