Creating_Data_with_R.Rmd

\section{Creating Data with ``R}}

\subsection{Data Import}
It is necessary to import outside data into ``R} before you start analysing it. Here we will look at some relevant issues.

\subsubsection{Microsoft XLS File}
Very often, the sample data is in MS Excel$^{\mbox{\tiny{TM}}}$ format, and needs to be imported into ``R} prior to use. For this, we could use the ``read.xls()`` function from the \textbf{\textit{gdata}} package. The command reads from an Excel spreadsheet and returns a data frame. The following shows how to load an Excel spreadsheet named ``mydata.xls". As the package is not in the core ``R} library, it has to be installed and loaded into the ``R} workspace. (This spreadsheet is saved in the working directory).
\begin{verbatim}
> library(gdata)                   # load the gdata package
> help(read.xls)                   # documentation
> mydata = read.xls("mydata.xls")  # read from first sheet
\end{verbatim}



%Similarly to read.csv and read.csv2, the functions write.csv and write.csv2 are provided as wrappers to read.table, with appropriate options set to produce comma- or semicolon-separated files.

%\newpage




%We can use this approach to create a data frame :
%> data.frame(rbind(X,Y))
 % X1 X2 X3
%X  1  2  3
%Y  4  5  6

%We can then use rownames and colnames to assign meaningful names to this data frame.

%---- END OF CREATING DATA
%-------------------------------------------------------------------------------------------------------%
%----------------------------------------------------------------------------------CREATING DATA--------%

%\section{Data Entry Methods}
#### {Using the ``scan()`` command}



#### {Importing and Exporting Data}
#### {The ``read.csv()`` command}
#### {The ``write.csv()`` command}
#### {The ``sink()`` command}

%-------------------------------------------------------------------------%
#### {Classes of Data Objects}
%\begin{verbatim}
%class(Numvec)
%class(Charvec)
%class(A)
%class(iris)
%class(Nile)
%\end{verbatim}