What Is R Programming?
The by () function is used for applying a function each level of factors and its looks like –
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 Advantages of R Programming?
The List of the Advantages -
1. It's
used for managing the data.
2. No
license restrictions
3. It
is free and open source.
4. Graphical
capabilities are very good.
5. and
so on
What Are the Disadvantages of R Programming?
The
List of Disadvantages -
1. Lack
of standard GUI
2. Not
good for big data
3. Does
not provide spread sheet view of data
How Is Data Import in R Language?
In the R language, Data can be imported in 3 ways
such as -
1. Select
the data set or enter the name of
the data set which required.
2. Data
is entered directly using the editor of R Commander by using the Data->New Data Set.
3. Data
can also be imported from a URL or
from plain text file.
What Are the Data Types
in R Language?
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 –
1. Vectors
2. Matrices-numeric,
character
3. Arrays
4. Data
Frames
5. Lists
6. Factors
7. 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?
1. R
is open source programming and free!
2. R
runs on all platforms
3. 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
What is t-tests () in R?
It is used to determine that means of two groups
are equal or not by using the t.test()
function.
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