R Programming Packages MCQ

Test your knowledge with important R Programming Packages MCQ and their applications. These MCQs are beneficial for competitive exams too. Explore 30 + more R Programming Packages MCQs at Bissoy

• In R, which package is commonly used for creating and formatting tables in LaTeX?
  ক

  tableR

  খ

  kableExtra

  গ

  latexTables

  ঘ

  tabular
• What is the primary use of the rvest package in R?
  ক

  Web scraping and data extraction

  খ

  Natural language processing (NLP)

  গ

  Creating and modifying network graphs

  ঘ

  Machine learning model training and evaluation
• In R, which package is commonly used for working with data from the U.S. Census Bureau?
  ক

  censusR

  খ

  usCensus

  গ

  censusdata

  ঘ

  censusstats
• What is the primary purpose of the psych package in R?
  ক

  Geospatial data analysis

  খ

  Data manipulation and transformation

  গ

  Statistical analysis and visualization

  ঘ

  Psychological and educational measurement
• In R, which package is commonly used for creating and customizing choropleth maps?
  ক

  maps

  খ

  choroplethr

  গ

  geospatialR

  ঘ

  leaflet
• What does the shinyjs package in R allow you to do?
  ক

  Add interactivity to Shiny applications

  খ

  Create and manipulate JavaScript objects

  গ

  Visualize genomic and genetic data

  ঘ

  Perform statistical hypothesis tests
• In R, which package is commonly used for working with genomic and genetic data?
  ক

  genomicsR

  খ

  geneticR

  গ

  biomaRt

  ঘ

  genomicdata
• What is the purpose of the ROCR package in R?
  ক

  Creating animated and interactive plots

  খ

  Time series analysis and forecasting

  গ

  Visualization of decision trees

  ঘ

  Evaluating and visualizing the performance of classification models
• In R, which package provides tools for creating interactive dashboards with a focus on ease of use?
  ক

  flexdashboard

  খ

  dashR

  গ

  dashboardR

  ঘ

  shinydashboard
• What does the rsample package in R provide?
  ক

  Tools for working with big data using distributed computing

  খ

  Functions for creating and formatting tables

  গ

  Resampling techniques for model validation

  ঘ

  Statistical hypothesis testing
• In R, which package is commonly used for creating and modifying network graphs?
  ক

  graphR

  খ

  networkD3

  গ

  igraph

  ঘ

  netplot
• What is the primary use of the plotrix package in R?
  ক

  Creating 3D plots

  খ

  Data manipulation and transformation

  গ

  Time series analysis and forecasting

  ঘ

  Statistical hypothesis testing
• In R, which package is commonly used for creating interactive and animated plots for time series data?
  ক

  timeseriesR

  খ

  timeplot

  গ

  timedyn

  ঘ

  timelapse
• What does the RColorBrewer package in R provide?
  ক

  Tools for working with big data using distributed computing

  খ

  Custom color palettes for data visualizations

  গ

  Functions for creating and modifying interactive plots

  ঘ

  Statistical hypothesis testing
• In R, which package is commonly used for accessing and analyzing financial data?
  ক

  financeR

  খ

  quantmod

  গ

  financialtools

  ঘ

  fintools
• In R, which package provides functions for creating and formatting tables in various formats?
  ক

  tableR

  খ

  tables

  গ

  tabular

  ঘ

  kableExtra
• What is the primary use of the survminer package in R?
  ক

  Survival analysis with visualizations

  খ

  Machine learning model training and evaluation

  গ

  Data manipulation and transformation

  ঘ

  Bayesian data analysis
• In R, which package is commonly used for working with biological data and bioinformatics?
  ক

  biotools

  খ

  biomaRt

  গ

  bioR

  ঘ

  bioinformatics
• What does the rmarkdown package in R facilitate?
  ক

  Creating dynamic documents and reports

  খ

  Statistical analysis and modeling

  গ

  Machine learning model training and evaluation

  ঘ

  Natural language processing (NLP)
• In R, which package is commonly used for machine learning with support vector machines (SVM)?
  ক

  svmR

  খ

  caret

  গ

  e1071

  ঘ

  machinesvm
• What is the role of the shinymaterial package in R Shiny applications?
  ক

  Customizing the appearance of Shiny applications

  খ

  Creating animated and interactive plots

  গ

  Bayesian data analysis

  ঘ

  Web application development
• In R, which package provides tools for working with data from the World Bank?
  ক

  worldbankR

  খ

  wbData

  গ

  globalstats

  ঘ

  wbtools
• What is the primary use of the leaflet package in R?
  ক

  Creating interactive maps with R

  খ

  Time series analysis and forecasting

  গ

  Statistical hypothesis testing

  ঘ

  Machine learning model training and evaluation
• In R, which package is commonly used for Bayesian analysis of hierarchical models?
  ক

  BHM

  খ

  brms

  গ

  hbayes

  ঘ

  bayesR
• What is the purpose of the dygraphs package in R?
  ক

  Interactive visualization of time series data

  খ

  Bayesian data analysis

  গ

  Natural language processing (NLP)

  ঘ

  Statistical hypothesis testing
• In R, which package provides functions for creating publication-ready plots with an emphasis on aesthetics?
  ক

  ggplot2

  খ

  prettyplot

  গ

  pubplot

  ঘ

  aestheticR
• What does the magrittr package in R provide?
  ক

  Tools for working with big data using distributed computing

  খ

  Pipes and forward-pipe operators

  গ

  Functions for creating animated and interactive plots

  ঘ

  Spatial data analysis
• In R, which package is commonly used for interactive data visualization and exploration?
  ক

  dygraphR

  খ

  visExplore

  গ

  shiny

  ঘ

  plotly
• What is the purpose of the Hmisc package in R?
  ক

  Data manipulation and transformation

  খ

  Visualization of decision trees

  গ

  Statistical analysis and modeling

  ঘ

  Tools for advanced regression modeling
• In R, which package provides functions for working with large datasets stored in data frames?
  ক

  bigframe

  খ

  bigdata

  গ

  data.table

  ঘ

  dframe