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Alteryx Analytics

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Alteryx Designer enthält Predictive-Analytic-Tools, die "R", eine open-source Code-Basis für statistische und prädiktive Analysen, verwendet. "R" und dessen Pakete müssen installiert werden, um prädiktive Makros benutzen zu können.

Alteryx enthält die prädiktive Installation, welche "R", prädiktive Makros, Beispiel-Workflows, und alle "R"-Pakete auf dieser Seite enthält. Individuelle prädiktive Installationen sind außerdem auch zum Benutzen mit Microsoft R Client und Microsoft R Server verfügbar. Weitere Informationen erhalten Sie unter Alteryx und Microsoft R Integration.

Predictive-Tool Installationen

Kompatibel mit Alteryx Designer und Alteryx Server 11.5
Die predictive-Tool-Installationsprogramme sind derzeit nur in Englisch verfügbar.


Alteryx prädiktive Tools mit R 3.3.2

Version | 193 MB

Alteryx prädiktive Tools für Microsoft R Client 3.3.2

Version | 127 MB

Verwenden Sie dieses Installationsprogramm mit Microsoft R Client. Dies ist eine kostenlose Version von Microsoft R.

Microsoft R Client unterstützt In-DB-Predictive-Tools mit Microsoft SQL Server und bietet Leistungsverbesserungen im Vergleich zu dem Alteryx Open-Source-Installationsprogramm.

Installieren Sie den Microsoft R Client bevor Sie die Alteryx Predictive-Tools installieren.

Alteryx prädiktive Tools für Microsoft R Server 9.0.1

Version | 162 MB

Verwenden Sie dieses Installationsprogramm mit Microsoft R Server. Dies ist eine unternehmenstaugliche Version des Microsoft R.

Installieren Sie den Microsoft R Server bevor Sie die Alteryx Predictive-Tools installieren.


Alteryx prädiktive Tools mit R 3.3.2

Version | 193 MB

Verwenden Sie diese Non-Admin-Version mit der Non-Admin-Version von Alteryx Designer.


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)

Weitere Informationen finden Sie unter http://www.r-project.org/.