# Time Series Analysis with R programming

Here is a tutorial on how to use R programming software to carry out time series analysis

To load data set from the package “fma”, use the commands:

{` >data (package=fma) This instantly loads the pre existing data sets in the package. To load the data set regarding sales of one family houses, use the command: >data (hsales) To print the data: >hsales`}

## How to create a time series data in R programming?

Now, form a time series from the data using the command:

{`>timeseries <- ts (hsales, frequency=12, start=1973) Here, the variable name is “timeseries”, feequency is 12(because it is monthly data), and start=1 (since the data starts from 1973) Now, print the series: >timeseries `}

### How to plot the time series graph in R program?

{`To plot the time series, use the command: >plot.ts (timeseries, main=”Sales of one family houses”)`}

### Decomposing an additive and multiplicative Time Series model in R

{`To decompose the time series into its components, use the command in R statistical software: >timeseriescomponents <- decompose (timeseries) Print the decomposed series, >timeseriescomponents`}

{`You can also plot the decomposed time series components using R software >plot (timeseriescomponents) `}

## Learn R programming for Statistical Analysis

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