4 min read•august 14, 2024
R is a powerful tool for data analysis, offering a wide range of functions and libraries. It's open-source, extensible, and supports various programming paradigms, making it ideal for statistical computing and data visualization.
R shines in data manipulation and visualization. With packages like and , you can easily wrangle data and create stunning visuals. Its versatility makes it valuable in academia, , healthcare, and many other fields.
dplyr
), statistical modeling ([lm()](https://www.fiveableKeyTerm:lm())
), machine learning ([caret](https://www.fiveableKeyTerm:caret)
), and data visualization (ggplot2
)CRAN
) and resources (forums, tutorials)devtools
), and libraries tailored to their specific needs[apply()](https://www.fiveableKeyTerm:apply())
, [lapply()](https://www.fiveableKeyTerm:lapply())
, and [sapply()](https://www.fiveableKeyTerm:sapply())
for applying functions to data structuresdplyr
for filtering ([filter()](https://www.fiveableKeyTerm:filter())
), selecting ([select()](https://www.fiveableKeyTerm:select())
), mutating ([mutate()](https://www.fiveableKeyTerm:mutate())
), and summarizing ([summarise()](https://www.fiveableKeyTerm:summarise())
) data[reshape()](https://www.fiveableKeyTerm:reshape())
, [melt()](https://www.fiveableKeyTerm:melt())
, and [cast()](https://www.fiveableKeyTerm:cast())
for converting data between wide and long formatsggplot2
package, which provides a layered grammar of graphics for creating complex and customizable plots (scatter plots, line plots, bar plots, heatmaps)plotly
and leaflet
for creating interactive plots and maps[quantmod](https://www.fiveableKeyTerm:quantmod)
), portfolio optimization ([PortfolioAnalytics](https://www.fiveableKeyTerm:portfolioanalytics)
), and quantitative trading ([quantstrat](https://www.fiveableKeyTerm:quantstrat)
)[kmeans](https://www.fiveableKeyTerm:kmeans)
), market basket analysis ([arules](https://www.fiveableKeyTerm:arules)
), sentiment analysis ([syuzhet](https://www.fiveableKeyTerm:syuzhet)
), and predictive modeling (caret
)[forecast](https://www.fiveableKeyTerm:forecast)
), and analyzing financial time series ([xts](https://www.fiveableKeyTerm:xts)
, [zoo](https://www.fiveableKeyTerm:zoo)
)[Bioconductor](https://www.fiveableKeyTerm:Bioconductor)
)[raster](https://www.fiveableKeyTerm:Raster)
, [sp](https://www.fiveableKeyTerm:sp)
)[mlr](https://www.fiveableKeyTerm:mlr)
), natural language processing ([tm](https://www.fiveableKeyTerm:tm)
), and web analytics ([googleAnalyticsR](https://www.fiveableKeyTerm:googleanalyticsr)
)[reticulate](https://www.fiveableKeyTerm:reticulate)
package[DBI](https://www.fiveableKeyTerm:dbi)
, [RMySQL](https://www.fiveableKeyTerm:rmysql)
, and [RPostgreSQL](https://www.fiveableKeyTerm:rpostgresql)
[rhdfs](https://www.fiveableKeyTerm:rhdfs)
, [rmr2](https://www.fiveableKeyTerm:rmr2)
) and Spark ([sparklyr](https://www.fiveableKeyTerm:sparklyr)
) for distributed computingggplot2
for creating interactive and visually appealing data visualizations[git2r](https://www.fiveableKeyTerm:git2r)
), enabling collaborative development and reproducible research[plumber](https://www.fiveableKeyTerm:Plumber)
, [opencpu](https://www.fiveableKeyTerm:opencpu)
)subset()
, merge()
), statistical analysis (t.test()
, lm()
), and basic data visualization (plot()
, hist()
)if
, for
, while
) and functions for writing reusable coderead.csv()
, write.csv()
)dplyr
: widely used for data manipulation and transformation, providing a concise and expressive syntax for data wrangling tasks (filter()
, select()
, mutate()
, summarise()
)ggplot2
: powerful tool for creating advanced and customizable data visualizations, following the grammar of graphics principles (aesthetics, geometries, scales, facets)caret
: commonly used for machine learning tasks, offering a unified interface for training and evaluating machine learning models (cross-validation, feature selection, model tuning)tidyr
: essential for data tidying and reshaping, enabling the conversion of data between wide and long formats (pivot_longer()
, pivot_wider()
)stringr
: provides a set of functions for string manipulation and text processing tasks (pattern matching, substring extraction, string splitting)lubridate
: simplifies working with dates and times in R, offering functions for parsing, manipulating, and formatting date-time objects (ymd()
, hour()
, interval()
)