The Most Important Statistics for R to Get Started With Data Science

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The Most Important Statistics for R to
Get Started With Data Science
WWW.STATANALYTICA.COM
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Overview
R is one of the leading programming languages for
data science. And we know that data science
requires strong command over statistics.
Therefore statistics for R become crucial for the
data science students. Statistics involves a
variety of problems that can be solved manually.
But R makes it a lot easier and quicker to solve
these statistics problems. All you need to have
good command over R to solve the most statistics
problems in no time. R is offering the best and
highly efficient statistics environment to the
statisticians. That is the reason it is known as
statistics R language. R provides a variety of
functions that help the data scientist to perform
statistics and probability functions i.e.,
parametric distributions, compute summary
statistics, and many more. Here in this blog, we
are going to share with you everything about
statistics with R. But before we start with the
statistics for r. Lets have a look at statistics
r packages.
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Statistics R Package

• Hmisc package
• pastecs package
• psych package
• doBy package
• Data.table Packages
• Zoo package
• maptools package
• Caret package
• Multcomp package
• Vcd package
• Glmnet package
• Ggplot2 package
• dplyr package
• Tidyr package
• Haven package
• Foreign package

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Probability Distribution
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Inference About Two Populations
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