The
software for statistical computing and graphics supported by the R foundation
for statistical computing is known as R programming. It is a programming
language. R programming is a free software.it is widely used for developing
statistical software and data analysis by the statisticians and data miners. R
programming is popular software. Polls, data mining surveys, and studies show
that it is a popular program.
R
programming uses a command-line scripting format. It stores a series of complex
data analysis steps. Parallel data can easily be reused for investigation
without any trouble. The research can be authenticated and miscalculations can
be verified easily by other users.
R
programming is a very demanding programming language. It is used by big organizations
around the globe. Google gave out standards for the language that could be
commonly accepted. The commercial version of R programming is revolution
analytics which was purchased by Microsoft to develop other servers based on
it.
R
programming is a crucial resource for all data scientists. Using predefined
packages and libraries it allows conducting an extensive range of statistical
analysis. It is open-source, unlike python.
R
programming is similar to S programming. Though there is some significant
difference the codes written in S language can run on the R language.
There
are a large number of graphical techniques in R programming. Also, R
programming is very extensible. There are statistical techniques like
classification, clustering, classical statistical tests, linear and non-linear
modelling, etc in R programming.
R
programming creates a software environment for statistical computation and
graphics.
Topics under R programming are;
- Simple linear regression
- Null hypothesis
- Sampling
- Bootstrapping
- Logistic regression
- Box plot
- Scatter plot
- Monte Carlo simulation
- Probability theory
- Alternate hypothesis
- Biostatistics
- Central limit theorem
- Design of experiments
- Non- parametric tests
- Hypothesis tests and confidence intervals
Students
have started to opt for R programming. R programming has a different syntax
than other languages thus it can be frightening at first. It is a tricky
language and can be daunting. To help you with the R programming homework help
various online experts are providing their services. They are experts in their
field and give quality assignments for submission within the deadline. It is
always advisable to seek R programming homework help from the experts.