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A Lap Around R Tools for Visual Studio

This detailed guide explores the functionalities and features of R Tools for Visual Studio, covering statistical tests, variable selection, data import, and more. Learn about cluster analysis, predictive models, and descriptive statistics. Discover the latest updates in version 7.4 and key improvements in version 7.3, such as simulation and random sampling. Enhance your data science projects with R Tools for Visual Studio.

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A Lap Around R Tools for Visual Studio

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  1. A Lap Around R Tools for Visual Studio John Lam Principal Program Manager B884

  2. ScaleR Functions & Algorithms Data Step Statistical Tests Variable Selection • Data import – Delimited, Fixed, SAS, SPSS, OBDC • Variable creation & transformation • Recode variables • Factor variables • Missing value handling • Sort, Merge, Split • Aggregate by category (means, sums) • Chi Square Test • Kendall Rank Correlation • Fisher’s Exact Test • Student’s t-Test • Stepwise Regression Simulation Sampling • Simulation (e.g. Monte Carlo) • Parallel Random Number Generation • Subsample (observations & variables) • Random Sampling Coming in v7.4 New in v7.3 Cluster Analysis Predictive Models Descriptive Statistics • K-Means • Min / Max, Mean, Median (approx.) • Quantiles (approx.) • Standard Deviation • Variance • Correlation • Covariance • Sum of Squares (cross product matrix for set variables) • Pairwise Cross tabs • Risk Ratio & Odds Ratio • Cross-Tabulation of Data (standard tables & long form) • Marginal Summaries of Cross Tabulations • Sum of Squares (cross product matrix for set variables) • Multiple Linear Regression • Generalized Linear Models (GLM) exponential family distributions: binomial, Gaussian, inverse Gaussian, Poisson, Tweedie. Standard link functions: cauchit, identity, log, logit, probit. User defined distributions & link functions. • Covariance & Correlation Matrices • Logistic Regression • Classification & Regression Trees • Predictions/scoring for models • Residuals for all models Classification • Decision Trees • Decision Forests • Gradient Boosted Decision Trees • Naïve Bayes Combination • PEMA-R API • rxDataStep • rxExec

  3. R Tools for Visual Studio FREE and Open Source R and Visual Studio, Together {Community, Professional, Enterprise} Update 1+

  4. Highlights Our new tailored experience for data scientists The power of the R Interactive Window Projects, files, directories oh my! Using the editor and the R Interactive window together Help wherever you need it Generating beautiful reports using R Markdown Creating interactive user experiences using R

  5. Demo

  6. Call to Action • Download R Tools for Visual Studio! • https://aka.ms/rtvs-current • Read our docs • https://microsoft.github.io/RTVS-docs • Use the product and send us feedback! • https://github.com/microsoft/rtvs/issues • Re-visit Build on Channel 9. • Continue your education atMicrosoft Virtual Academy online.

  7. Please Complete An Evaluation FormYour input is important! or

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