Hi all,

Hope you are familiar with the time series function or you may have heard of time series analysis. In R there is a different R library for time series data analysis [TSDL]. With out loading this library, you can not perform time series analysis. But you don’t have to worry, this is pre-installed library in R software . If not you can simply load this library using

`library("tsdl").`

Lets learn time series analysis using R step by step. The complete Introduction to R Programming

**Index**

*Introduction**Reading time series data**Plotting time series**Decomposing Time series**Forecast**ARIMA Models*

**1). Introduction:**

A **time series** is a series of data points indexed (or listed or graphed) in time order. Most commonly, a time series is a sequence taken at successive equally spaced points in time.

**Time series analysis** comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data.

**Time series**is the use of a model to predict future values based on previously observed values.

*forecasting***2). Reading time series data: **

I am using this data to show how to read time series data. I have downloaded this data to my local. If you don’t want to download you can load the data fro server also by scanning the **URL address.** ** **

data<-scan("Book1.csv") datatimeseries<-ts(data,frequency=1,start=c(1987,1)) datatimeseries

Look at the R console output

**skip=3 means i have ignored the first 3 rows.**

**data<-scan(“filename”):** you have loaded the data into variable name “data”.

**datatimeseries<-ts(data,frequency=1,start=c(1987,1)): **The data you have loaded into data variable will be in the format of time series.

**Frequency:** Different for yearly, monthly and quarterly. for **yearly frequency=1,** **monthly frequency = 12** and for **quarterly frequency = 4.**

**start=c(1987,1):** Starting of the time to the end.

**3). Plotting Time Series:**

Lets plot the above loaded time series data, For plotting you will need **graphics library.**

Library("graphics")

If the library is already installed, then give **require(“libraryname”).**

plot.ts(datatimeseries)

Look at the time series plot

Will discuss later other steps

If you have any doubts or suggestions please mention in comments section or shoot me an email at irrfankhann29@gmail.com

Categories: R

thanks for the infomation! it is helpful! But is there a place I can download the data you used in the example? thank you.

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Thank you for your feedback.

Regarding data I have mentioned tha source in article only, from there you can download the data

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