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Exporting Data From R

#rdoc .course_material a{font-size:1.5em;} #rdoc .readmore a{font-size:1em;}In the previous chapters we described the essentials of R programming as well as how to import data into R. Here, youÂ’ll...

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Importing Data Into R

#rdoc .course_material a{font-size:1.5em;} #rdoc .readmore a{font-size:1em;}In the previous chapter we described the essentials of R programming. Here, youÂ’ll learn how to import data from txt, csv,...

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Preparing and Reshaping Data in R for Easier Analyses

About 80% of data analysis is spent on the process of cleaning and preparing the data (Dasu and Johnson 2003). Make sure that your data is in the right format for easier analysis in R. Read the...

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Data Manipulation in R

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Tibble Data Format in R: Best and Modern Way to Work with Your Data

Preleminary tasksInstalling and loading tibble packageCreate a new tibbleConvert your data as a tibbleAdvantages of tibbles compared to data framesSummaryRelated articlesInfosPreviously, we described...

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Tidyr: Crutial Step Reshaping Data with R for Easier Analyses

What is a tidy data set?Preleminary tasksReshaping data using tidyr packageInstalling and loading tidyrExample data setsgather(): collapse columns into rowsspread(): spread two columns into multiple...

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Reordering Data Frame Columns in R

Pleleminary tasksReorder column by positionReorder column by nameSummaryRelated articlesReferencesInfosPreviously, we described the essentials of R programming and provided quick start guides for...

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Reordering Data Frame Rows in R

Pleleminary tasksInstall and load dplyr packageReorder rows with dplyr::arrange()Reorder rows with R base function order()SummaryRelated articlesInfosPreviously, we described the essentials of R...

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Renaming Data Frame Columns in R

Pleleminary tasksInstall and load dplyr package for renaming columnsRenaming columns with dplyr::rename()Renaming columns with dplyr::select()Renaming columns with R base functionsSummaryRelated...

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Subsetting Data Frame Rows in R

Pleleminary tasksInstall and load dplyr packageExtracting rows by position: dplyr::slice()Extracting rows by criteria: dplyr::filter()Logical comparisonsExtracting rows based on logical...

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Subsetting Data Frame Columns in R

Pleleminary tasksInstall and load dplyr packageSelecting column by positionSelect columns by namesDrop columnsUse select() programmatically inside an R functionSummaryRelated articlesInfosPreviously,...

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Identifying and Removing Duplicate Data in R

Pleleminary tasksR base functionsFind and drop duplicate elements: duplicated()Extract unique elements: unique()Remove duplicate rows using dplyrSummaryRelated articlesInfosPreviously, we described the...

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Tidyr: Crucial Step Reshaping Data with R for Easier Analyses

What is a tidy data set?Preleminary tasksReshaping data using tidyr packageInstalling and loading tidyrExample data setsgather(): collapse columns into rowsspread(): spread two columns into multiple...

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Fuzzy clustering analysis - Unsupervised Machine Learning

1 Required packages2 Concept of fuzzy clustering3 Algorithm of fuzzy clustering3.1 R functions for fuzzy clustering3.1.1 fanny(): Fuzzy analysis clustering3.1.2 cmeans()4 Infos1 Required packagesThree...

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Cluster Analysis in R - Unsupervised machine learning

1 Introduction1.1 Quick overview of machine learning1.2 Applications of unsupervised machine learning2 How this document is organized?3 Data preparation4 Installing and loading required R packages5...

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R packages

==- R packages - = Articles are provided at the bottom of this page.

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Factoextra R Package: Easy Multivariate Data Analyses and Elegant Visualization

What is factoextra?Why should I use factoextra?How to install and load factoextra?Main functions in factoextra packageVisualizing the outputs of dimension reduction analysesExtracting data from the...

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Computing and Adding new Variables to a Data Frame in R

Pleleminary tasksInstall and load dplyr package for renaming columnsdplyr::mutate(): Add new variables by preserving existing onesdplyr::transmute(): Make new variables by dropping existing onesUse...

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Line Plots - R Base Graphs

Pleleminary tasksR base functions: plot() and lines()Create some dataBasic line plotsPlots with multiple linesRelated articlesSee alsoInfosPreviously, we described the essentials of R programming and...

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Pie Charts - R Base Graphs

Pleleminary tasksCreate some dataCreate basic pie charts: pie()Create 3D pie charts: plotix::pie3D()Related articlesSee alsoInfosPreviously, we described the essentials of R programming and provided...

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