What
Is R?
The R is an open source programming language and widely
used for statistical computing, graphics, data analytics and scientific
research.
The R programming language is most commonly used for
developing the statistical software and data analysis.
The R programming was created by Robert Gentleman and Ross Ihaka at the University of Auckland, New Zealand in August 1993; 24
years Ago.
The currently managing and developing all the features
and other related to R - R Development
Core Team and Its popularity is grown recent years.
The R programming supports dynamic typing,
parallel computing and integration with big data technologies.
What
Are the Data Types in R?
The R programming language has a wide variety of
data types including scalars, vectors (numerical, character, and logical),
matrices, data frames and lists.
The frequently used data types are −
ü Vectors
ü Matrices-numeric,
character
ü Arrays
ü Data
Frames
ü Lists
ü Factors
ü Useful
Functions
The simplest of these above objects is - Vector Object
and there are six data types of these atomic vectors, also termed as six
classes of vectors. The other R-Objects are built upon the atomic vectors.
What
Are Use of with () and BY () functions in R?
The
with () function is used to apply an expression for a
given dataset and its looks like –
#with(data,expression)
The by
() function is used for applying a function each level of factors and its looks
like –
#by(data,factorlist,function)
Why
Use R for Statistical Computing and Graphics?
ü R
is open source programming and free!
ü R
runs on all platforms
ü R
is most popular and currently increasing its popularity
How
R commands are written?
By using the “#” at the starting of the line of
code and its looks like “#division” commands is written.
What
Is the use of sample () and subset () functions in R?
The sample () function is used to generate a
random sample of the size n from a dataset.
The subset () function is used to select the
variables and observations
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