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XLSTAT-Basic+ is a data analysis system and statistical software for Microsoft Excel. By built-in add-ins, XLSTAT-Basic+ extends Excel to an efficient and easily accessible statistics tool that covers most of the functions needed for the analysis and modeling of data. The software automatically integrates itself into your MS Excel user interface and is always addressable from there.

Statistical Methods in MS Excel

XLSTAT-Basic+ comprises the complete statistics and provides routines for dose-response curves as well as for mulitvariate statistics or PLS. Meeting specific analytical needs, a variety of optional modules can be added to the basic program.

Arguments for XLStat:

  • The XLSTAT-Basic+ extends Excel to a powerful and easily accessible statistics tool
  • In addition, Basic+ features machine learning methods (association rules, regression and classification trees and K-Nearest Neighbors) as well as XLSTAT-R and RNotebook. 
  • Modular expandable

XLSTAT-BASIC+ - Enable High-Quality Statistical Functions in Excel

XLSTAT-Basic+ is a data analysis system and statistical software for Microsoft Excel. XLSTAT extends Excel to an efficient and easily accessible statistics tool that covers most of the functions needed for the analysis and modeling of data. The software automatically integrates itself into your MS Excel user interface and is always addressable from there. In more than 100 countries, beyond 25.000 engineers, statisticians, consultants and scientists are already using XLSTAT and confirm the quality of the safe, efficient, easy-to-use and at the same time most reasonably priced software.

XLSTAT make use of Excel's functionality in respect to data collection and presentation of results. However, all calculations are carried out in autonomous programs. The disposal of Excel as an interface makes the product very easy to use and effective. The quality of the calculations themselves is equivalent to that of the leading scientific packages. XLSTAT-Basic+ comprises the complete statistics and provides routines for dose-response curves as well as for mulitvariate statistics or PLS.


User Interface of XLSTAT-Base

User Interface of XLSTAT-Base

XLSTAT-BASIC+ - Overview

In addition, Basic+ features machine learning methods (association rules, regression and classification trees and K-Nearest Neighbors), XLSTAT-R and RNotebook. 

Each of the Basic+ features is also available in all Applied solutions as well as in XLSTAT Premium. 


a basic chart in Excel
dialogbox for pivot tables
pivot table in XLSTAT

a basic data chart in Excel...

...with the help of the dialogbox...

...the chart will be converted to a pivot table

PCR chart
OLS regression chart
discriminant analysis in XLSTAT

Principal Component Regression (PCR)

Ordinary Least Squares regression (OLS)

discriminant analysis (PLS)


 

XLSTAT grows with you - optional Modules

 

Software needs to fit to the user - not backwards! This is why XLSTAT's functions can be extended by optional modules. These modules are for very specific applications. The optional modules of XLSTAT can be bought seperately and are not contained in any of the solutions! The optional modules will fit into your excel interface as usual and can be addressed from there anytime. Let XLSTAT adapt to your requirements!

Optional Modules

XLSTAT-3DPlot

XLSTAT - 3DPlot

XLSTAT-3DPlot is an excellent extension for the data visualisation with XLSTAT! More Details

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XLSTAT-LatentClass

XLSTAT - LG

XLSTAT-LG is a powerful tool for Latent Class Regression models and Latent Class Cluster models. More Details
XLSTAT-LatentClass is a version of Statistical Innovations' highly acclaimed LatentGOLD® package, which can help you discover the segments hidden in your data (this is a reduced version).

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Further Information

Systemrequirements for the software XLSTAT

  Windows® Mac
Further Requirements Microsoft Excel 2003, 2007, 2010, 2013, 2016 Microsoft Excel 2011
Operating System Windows XP, Vista, 7, 8, 10 (32-/64-Bit) OS X
Minimum CPU 800 MHz 800 MHz
Min. RAM 128 MB 128 MB
Disk Space 150 MB 150 MB

Features in XLSTAT-Base

Analyzes

  • Factor analysis
  • Principal component analysis (PCA)
  • Discriminant
  • Correspondence Analysis
  • Multiple Korrespondenzanalysev
  • Multidimensional scaling (MDS)
  • k-means clustering
  • Agglomerative hierarchical clustering
  • Gaussian Mixture Model
  • Univariate partitioning
  • Association Rules
    Using association rules can directional relations between one or more objects of a set and another set of objects are determined in a large data set.

Modeling

  • Probability Distributions
    • Beta
    • Binomial
    • Negative Binomial
    • Chi-square
    • Exponentially
    • Fisher
    • Fisher-Tippett
    • Gamma
    • GEV
    • Gumbel
    • Lognormal
    • Normal
    • Pareto
    • Poisson
    • Student
    • Uniforme
    • Weibull distribution
  • Linear regression
  • Analysis of variance (ANOVA)
  • Welch and Brown-Forsythe one-way ANOVA
  • Covariance (ANCOVA)
  • Repeated Measures Analysis of Variance (ANOVA)
  • Mixed models and Repeated Measures ANOVA
  • Binary and Multinomial Logistic Regression (Lobit, Probit, ...)
  • Ordinal logit model
  • Log-linear regression (Poisson regression)
  • Quantile
  • Cupic spline
  • Kernel regression
  • Nonlinear regression (GENFIT)
  • Two-Stage Least Squares Regression
  • Classification and regression trees
  • K Neares Neighbors (KNN)

Tests

Correlation and Association tests

  • Correlation test
  • Test on contingency tables
  • RV Coefficient
  • Cochran-Armitage trend test
  • Mantel test

Parametric tests

  • Comparison of k proportions
  • Comparison of one proportion
  • Comparison of two proportions
  • Equivalence test (TOST)
  • One-sample variance test
  • Comparison of variances of two samples
  • Comparison of variances k samples
  • Multidimensional tests
  • Multinomieller fit test
  • t and z tests for one sample
  • t and z for two samples

Nonparametric tests

  • Comparison of two independent samples (Kolmogorov-Smirnov, Mann-Whitney)
  • Comparison of two paired samples (Wilcoxon sign test, sign test)
  • Comparison of k independent samples (Kruskal-Wallis test)
  • Comparison of k related samples (Friedman test)
  • Mood test (median test)
  • Durbin-Skilling-Mack test
  • Page Test
  • Cochran's Q test
  • McNemar's test
  • Cochran-Mantel-Haenszel test
  • Running tests on a sample

Outlier Tests

  • Grubbs test for outliers
  • Dixon test for outliers
  • Cochran C test for variances ourlying
  • Mandel's h and l statistics for outliers

Tools

  • Export as GIF, JPG, PNG, TIF
  • Data Flagger
  • MinMax Search
  • Distance of text values in a selection
  • Configuring the menu bar (hide, show, etc.)
  • Configuring Workbooks