Working
with Data Objects in R
* Data Objects are the fundamental items that one can work with
in R language
* Carrying out analysis on one's given data and making sense of
the results are the most important reasons of using R . In this article methods
of working over a given data set would be provided and along with that
understanding the results associated with the data objects of R is the central
idea for working over R
* One can learn to use the different forms of data that are
associated with R and how to convert the data from one form to another form
* Over R , one would also learn the techniques of sorting and
rearranging the data
* Some of the processes involved with Data Objects manipulation in R are in following manner :
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Manipulating Data Objects in R
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- When you collect the data the very forst step is to get the
data over to the R console
- After the data is imported over to the R console the very
first step to perform over the data is to do summary statistics steps for
finding out the requisite results from the data
- One may try to find more of some analytical results from the
data from the given summary statistics of R as one may want to manipulate the
data that is present over the R software .
- One may want to reorder the data into newer and more
informative manner from the first version of the imported data otherwise one
may also try to do a more informative manner of data reordering .
- Data Manipulation exercises of the given manner could also be
performed over the data like extraction of certain parts of complex form of
data etc could also be done from the data .
- As given there are multiple ways of manipulation of the data
and thus understanding how to do this is the most important aspect of learning
about R because the more one knows about the working of R language and the way
R handles the objects , it is better to make use of R as an analytical tool
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