English | Français | Deutsch

Alteryx Analytics

Notes de publication  |  Téléchargements  |  Analyse prédictive  |  Documentation  

Alteryx Designer inclut une suite d'outils d'analyse prédictive qui utilisent R, une base open source pour l'analyse statistique et prédictive. Pour utiliser les macros prédictives dans Alteryx, les utilisateurs doivent installer R et les packages utilisés par l'outil R.

Alteryx dispose d'une installation prédictive qui inclut R, macros prédictives Alteryx, exemples de workflows, et tous les packages répertoriés sur cette page. Des installations prédictives individuelles sont également disponibles pour être utilisés avec Microsoft R Client et Microsoft R Server. Pour plus d'informations, voir Alteryx and Microsoft R Integration.

Installateurs d'outils prédictifs

Compatible avec Alteryx Designer et Alteryx Server 11.5
Les installateurs d'outils prédictifs ne sont actuellement disponibles qu'en Anglais.

Version Admin

Outils prédictifs Alteryx avec R 3.3.2

Version | 193 MB

Outils prédictifs Alteryx pour Microsoft R Client 3.3.2

Version | 127 MB

Utilisez ce programme d'installation avec Microsoft R Client, qui est la version gratuite de Microsoft R.

Microsoft R Client prend en charge les outils prédictifs en base de données avec Microsoft SQL Server 2016 et offre des améliorations de performances par rapport au programme d'installation open source Alteryx.

Installez Microsoft R Client avant d'installer les outils prédictifs Alteryx.

Outils prédictifs Alteryx pour Microsoft R Server 9.0.1

Version | 162 MB

Utilisez ce programme d'installation avec Microsoft R Server, qui est la version Entreprise de Microsoft R.

Installez Microsoft R Server avant d'installer les outils prédictifs Alteryx.

Version Non-Admin

Outils prédictifs Alteryx avec R 3.3.2

Version | 193 MB

Utilisez la version Non-Admin avec la version Non-Admin d'Alteryx Designer.

R Packages

Alteryx R Packages
  • AlteryxPredictive: This package contains utility functions used by the predictive tools in Alteryx.
  • AlteryxPrescriptive: This package contains code that supports the Optimization tools in Alteryx.
  • AlteryxRDataX: This package allows Alteryx users to import Alteryx data into R and to export Alteryx data from R, and provides utility functions.
  • AlteryxRviz: This package provides functions that drive interactive visualizations for the predictive tools in Alteryx (Time Series, Network Analysis).
  • AlteryxSim: This package contains code that supports the Simulation tools in Alteryx.
  • flightdeck: Interactive Dashboards for Predictive Models.
CRAN Packages
  • abind: Combine Multidimensional Arrays
  • acepack: ACE and AVAS for Selecting Multiple Regression Transformations
  • actuar: Actuarial Functions and Heavy Tailed Distributions
  • alabama: Constrained Nonlinear Optimization
  • arm: Data Analysis Using Regression and Multilevel/Hierarchical Models
  • arules: Mining Association Rules and Frequent Itemsets
  • arulesNBMiner: Mining NB-Frequent Itemsets and NB-Precise Rules
  • arulesSequences: Mining Frequent Sequences
  • arulesViz: Visualizing Association Rules and Frequent Itemsets
  • assertthat: Easy pre and post assertions
  • base64: Base64 Encoder and Decoder
  • base64enc: Tools for base64 encoding
  • BH: Boost C++ Header Files
  • bitops: Bitwise Operations
  • C50: C5.0 Decision Trees and Rule-Based Models
  • car: Companion to Applied Regression
  • caTools: Tools: moving window statistics, GIF, Base64, ROC AUC, etc.
  • coda: Output Analysis and Diagnostics for MCMC
  • colorspace: Color Space Manipulation
  • commonmark: High Performance CommonMark and Github Markdown Rendering in R
  • data.table: Extension of `data.frame`
  • DBI: R Database Interface
  • dendextend: Extending R's Dendrogram Functionality
  • DEoptimR: Differential Evolution Optimization in Pure R
  • dichromat: Color Schemes for Dichromats
  • digest: Create Compact Hash Digests of R Objects
  • diptest: Hartigan's Dip Test Statistic for Unimodality - Corrected
  • dplyr: A Grammar of Data Manipulation
  • DT: A Wrapper of the JavaScript Library 'DataTables'
  • dygraphs: Interface to 'Dygraphs' Interactive Time Series Charting Library
  • e1071: Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien
  • earth: Multivariate Adaptive Regression Splines
  • evaluate: Parsing and Evaluation Tools that Provide More Details than the Default
  • eventstudies: Event study and extreme event analysis
  • fitdistrplus: Help to Fit of a Parametric Distribution to Non-Censored or Censored Data
  • flexclust: Flexible Cluster Algorithms
  • flexmix: Flexible Mixture Modeling
  • FNN: Fast Nearest Neighbor Search Algorithms and Applications
  • forecast: Forecasting Functions for Time Series and Linear Models
  • Formula: Extended Model Formulas
  • fpc: Flexible Procedures for Clustering
  • fracdiff: Fractionally differenced ARIMA aka ARFIMA(p,d,q) models
  • gbm: Generalized Boosted Regression Models
  • gclus: Clustering Graphics
  • gdata: Various R Programming Tools for Data Manipulation
  • ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics
  • glmnet: Lasso and Elastic-Net Regularized Generalized Linear Models
  • glpkAPI: R Interface to C API of GLPK
  • GPArotation: GPA Factor Rotation
  • gplots: Various R Programming Tools for Plotting Data
  • gridBase: Integration of base and grid graphics
  • gridExtra: Miscellaneous Functions for "Grid" Graphics
  • gtable: Arrange 'Grobs' in Tables
  • gtools: Various R Programming Tools
  • hexbin: Hexagonal Binning Routines
  • highr: Syntax Highlighting for R Source Code
  • Hmisc: Harrell Miscellaneous
  • htmlTable: Advanced Tables for Markdown/HTML
  • htmltools: Tools for HTML
  • htmlwidgets: HTML Widgets for R
  • httr: Tools for Working with URLs and HTTP
  • igraph: Network Analysis and Visualization
  • irlba: Fast Truncated SVD, PCA and Symmetric Eigendecomposition for Large Dense and Sparse Matrices
  • jsonlite: A Robust, High Performance JSON Parser and Generator for R
  • kernlab: Kernel-Based Machine Learning Lab
  • KernSmooth: Functions for Kernel Smoothing Supporting Wand & Jones (1995)
  • knitr: A General-Purpose Package for Dynamic Report Generation in R
  • labeling: Axis Labeling
  • latticeExtra: Extra Graphical Utilities Based on Lattice
  • lazyeval: Lazy (Non-Standard) Evaluation
  • lhs: Latin Hypercube Samples
  • limSolve: Solving Linear Inverse Models
  • lme4: Linear Mixed-Effects Models using 'Eigen' and S4
  • lmtest: Testing Linear Regression Models
  • lpSolve: Interface to 'Lp_solve' v. 5.5 to Solve Linear/Integer Programs
  • lubridate: Make Dealing with Dates a Little Easier
  • magrittr: A Forward-Pipe Operator for R
  • markdown: 'Markdown' Rendering for R
  • MatrixModels: Modelling with Sparse And Dense Matrices
  • mc2d: Tools for Two-Dimensional Monte-Carlo Simulations
  • mclust: Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation
  • memoise: Memoisation of Functions
  • mime: Map Filenames to MIME Types
  • minqa: Derivative-free optimization algorithms by quadratic approximation
  • MLmetrics: Machine Learning Evaluation Metrics
  • modeltools: Tools and Classes for Statistical Models
  • munsell: Utilities for Using Munsell Colours
  • mvtnorm: Multivariate Normal and t Distributions
  • nloptr: R interface to NLopt
  • NLP: Natural Language Processing Infrastructure
  • NMF: Algorithms and Framework for Nonnegative Matrix Factorization (NMF)
  • nortest: Tests for Normality
  • numDeriv: Accurate Numerical Derivatives
  • openssl: Toolkit for Encryption, Signatures and Certificates Based on OpenSSL
  • partykit: A Toolkit for Recursive Partytioning
  • pbkrtest: Parametric Bootstrap and Kenward Roger Based Methods for Mixed Model Comparison
  • PerformanceAnalytics: Econometric tools for performance and risk analysis
  • pkgmaker: Package development utilities
  • plotly: Create Interactive Web Graphics via 'plotly.js'
  • plotmo: Plot a Model's Response and Residuals
  • plotrix: Various Plotting Functions
  • plyr: Tools for Splitting, Applying and Combining Data
  • ppcor: Partial and Semi-Partial (Part) Correlation
  • prabclus: Functions for Clustering of Presence-Absence, Abundance and Multilocus Genetic Data
  • proto: Prototype Object-Based Programming
  • purrr: Functional Programming Tools
  • qap: Heuristics for the Quadratic Assignment Problem (QAP)
  • quadprog: Functions to solve Quadratic Programming Problems
  • quantmod: Quantitative Financial Modelling Framework
  • quantreg: Quantile Regression
  • randomForest: Breiman and Cutler's Random Forests for Classification and Regression
  • RColorBrewer: ColorBrewer Palettes
  • Rcpp: Seamless R and C++ Integration
  • RcppArmadillo: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
  • RcppEigen: 'Rcpp' Integration for the 'Eigen' Templated Linear Algebra Library
  • registry: Infrastructure for R Package Registries
  • reshape: Flexibly Reshape Data
  • reshape2: Flexibly Reshape Data: A Reboot of the Reshape Package
  • rgeos: Interface to Geometry Engine - Open Source (GEOS)
  • Rglpk: R/GNU Linear Programming Kit Interface
  • rJava: Low-Level R to Java Interface
  • rjson: JSON for R
  • rngtools: Utility functions for working with Random Number Generators
  • robustbase: Basic Robust Statistics
  • ROCR: Visualizing the Performance of Scoring Classifiers
  • ROI: R Optimization Infrastructure
  • ROI.plugin.glpk: ROI Plug-in GLPK
  • ROI.plugin.quadprog: ROI Plug-in {quadprog}
  • ROI.plugin.symphony: ROI Plug-in SYMPHONY
  • rpart.plot: Plot 'rpart' Models: An Enhanced Version of 'plot.rpart'
  • RSclient: Client for Rserve
  • Rsymphony: SYMPHONY in R
  • scales: Scale Functions for Visualization
  • scatterplot3d: 3D Scatter Plot
  • seriation: Infrastructure for Ordering Objects Using Seriation
  • slam: Sparse Lightweight Arrays and Matrices
  • sm: Smoothing methods for nonparametric regression and density estimation
  • sp: Classes and Methods for Spatial Data
  • SparseM: Sparse Linear Algebra
  • stringi: Character String Processing Facilities
  • stringr: Simple, Consistent Wrappers for Common String Operations
  • survey: Analysis of Complex Survey Samples
  • TeachingDemos: Demonstrations for Teaching and Learning
  • tibble: Simple Data Frames
  • tidyr: Easily Tidy Data with `spread()` and `gather()` Functions
  • timeDate: Rmetrics - Chronological and Calendar Objects
  • tm: Text Mining Package
  • triangle: Provides the Standard Distribution Functions for the Triangle Distribution
  • trimcluster: Cluster analysis with trimming
  • tseries: Time Series Analysis and Computational Finance
  • TSP: Traveling Salesperson Problem (TSP)
  • TTR: Technical Trading Rules
  • TunePareto: Multi-objective parameter tuning for classifiers
  • vcd: Visualizing Categorical Data
  • vioplot: Violin plot
  • viridis: Default Color Maps from 'matplotlib'
  • viridisLite: Default Color Maps from 'matplotlib' (Lite Version)
  • whisker: {{mustache}} for R, logicless templating
  • wordcloud: Word Clouds
  • xtable: Export Tables to LaTeX or HTML
  • xts: eXtensible Time Series
  • yaml: Methods to Convert R Data to YAML and Back
  • zoo: S3 Infrastructure for Regular and Irregular Time Series (Z's Ordered Observations)

Pour plus d'informations sur R, voir http://www.r-project.org/