1. R Language using Excel Files
INTRODUCTION:
This document highlights the process of reading excel files using R language. There are several
ambiguous suggestions already prevailing in the web. So, we have tried to figure out 2 best
possible ways to solve the ambiguities. Here, they are described in brief:
READING EXCEL FILES:
1ST SOLUTION:
install.packages("gdata") [ It can be done manually too. Go to Packages at the
top. Select any location, preferably USA (CA 1).
Then select gdata from the list. ]
library(gdata) [ Use of Library for reading an Excel file. ]
setwd("D:/R Statistics") [ Set working directory ]
y=read.xls("iris.xls") [Read the .xls/.xlsx file that is present in the working
directory. ]
y [ Print the contents of the excel file. ]

2. 2ND SOLUTION:
install.packages("xlsx") [ It can be done manually too. Go to Packages at the
top. Select any location, preferably USA (CA 1).
Then select xlsx from the list. ]
require(xlsx) [ Ask for xlsx functionalities. ]
file=system.file("tests","test_import.xlsx",package ="xlsx")
[ “tests” is the name of folder where the xlsx file is
saved. “test_import.xlsx” is the xlsx file belonging
to the package “xlsx”. Folder, file and package
name may be other than these. ]
a=read.xlsx(file,1) [ We have to read the file , at the same time mention
its sheet no , i.e. 1,2,3…… ]
a [ Print the contents of the excel file. ]
CONCLUSION:
The above mentioned 2 ways are really worth reading an Excel file using R. Writing in an Excel
file using R is still under supervision.