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reshape2

reshape2: Flexibly reshape data: a reboot of the reshape package. Reshape lets you flexibly restructure and aggregate data using just two functions: melt and cast.

Keywords for this software

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  • ensemble techniques
  • exploratory analysis
  • unsupervised learning
  • regression analysis
  • data science
  • reinforcement learning
  • regression tree
  • sampling
  • cross-validation
  • summary statistics
  • rule mining
  • data mining
  • model performance improvement
  • correlation analysis
  • linear modeling
  • data visualisation
  • naïve Bayes method
  • Keras
  • semi-supervised learning
  • fuzzy clustering
  • predictive model
  • population variance
  • hypothesis testing
  • statistical learning
  • text mining
  • scalability
  • sampling bias
  • decision trees
  • nonlinear modeling
  • population mean

  • URL: cran.r-project.org/web...
  • Code
  • InternetArchive
  • Manual: cran.r-project.org/web...
  • Authors: Hadley Wickham
  • Dependencies: R

  • Add information on this software.


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References in zbMATH (referenced in 2 articles )

Showing results 1 to 2 of 2.
y Sorted by year (citations)

  1. Ramasubramanian, Karthik; Singh, Abhishek: Machine learning using R. With time series and industry-based use cases in R (2019)
  2. Kuhn, Max; Johnson, Kjell: Applied predictive modeling (2013)

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  • MSC classification / top
    • Top MSC classes
      • 00 General mathematics
      • 62 Statistics
      • 68 Computer science

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