Embedded Files
Introduction
Introduction
R Introduction .pdfDownloading R and R Studio
R Data Management.pdfBasic commands in R
You can run your code below. Copy Paste it, press Run and scroll down to see the output
Descriptive Statistics in R
Descriptive Statistics in R
R Basic Statistics.pdfBasic stats
Statistical Tests in R.pdfInference
Correlation Coefficients.pdfCorrelations
PCA.pdfPCA
Factor analysis.pdfFactor Analysis
Discrimant analysis.pdfDiscriminant Analysis
Regression analysis in R
Regression analysis in R
Running Regressions in R.pdfStandard regression analysis
Time Series Implementation in R.pdfTime Series
Homoscedasticity.pdfTesting for Homoscedasticity
Cluster analysis in R
Cluster analysis in R
K-Means Clustering in R.pdfK-means
Hierarchical Clustering in R.pdfHierarchical clustering
ModelBasedClust.pdfMixture Models
Visualization in R
Visualization in R
R Graphs.pdfStats (ggplot)
Regression lines on Scatterplot.pdfAdding regression curves
Heatmaps.pdfHeatmaps
Venn Diagrams.pdfVenn Diagrams
Visualizing Basic Networks.pdfGraphs (igraph)
Machine Learning in R
Machine Learning in R
Machine Learning Project in R Step-by-Step.pdfMachine Learning example
Interactive apps
Interactive apps
Shiny.pdfLibrary Shiny
References
References
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
by Hadley Wickham, Garrett Grolemund
Applied Econometrics with R
by Christian Kleiber, Achim Zeileis
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