XLSTAT Products & Solutions
XLSTAT Products
XLSTAT Products / General presentation
XLSTAT is a Microsoft Excel statistical add-in that has been developed since 1993 to enhance the analytical capabilities of Excel. XLSTAT is a modular statistical software built around XLSTAT-Pro - the core product of Addinsoft. XLSTAT relies on Excel for the input of data and the display of results, but the computations are done using autonomous software components. The use of Excel as an interface makes XLSTAT a user-friendly and highly efficient statistical and multivariate data analysis package. The quality of the computations is identical to that offered by classic scientific statistical analysis software.
A large range of modules can be added onto XLSTAT-Pro for specific analytical needs. In addition, we can tailor specific modules to your statistical business needs, ranging from the development of a function to the automation of routine analyses. This insures XLSTAT is always evolving to meet your statistical demands.
Pro / Core statistical software
XLSTAT-Pro is Addinsoft's core software. It is a Microsoft Excel statistical add-in that has been developed since 1993 to enhance the analytical capabilities of Excel. XLSTAT-Pro includes a wide range of analytical functions covering the key requirements for data analysis and statistics.
Pro is a popular statistical software that helps you navigate through all the steps of your data analysis - from preparing the data by filtering, transforming or recoding variables, to hypothesis testing or multivariate data analysis with methods such as Principal Component Analysis, linear or PLS regression, classification trees. Furthermore, numerous Excel utilities have also been included to facilitate charting and data manipulation. All tools can be accessed from the XLSTAT menu item in the Excel menu bar, or by clicking on the buttons of the XLSTAT toolbar.
3DPlot / 3-D visualization software
XLSTAT-3DPlot is a must-have addition to our popular statistical analysis software. It facilitates the visualization of your data by using informative three dimensional charts. XLSTAT-3DPlot also offers impressive color and graphic possibilities that can make your presentations memorable.
Features:
- 3D visualization
ADA / Advanced Data Analysis on Multiple tables software
XLSTAT-ADA is a great software complement for users wanting to run Advanced Data Analysis. XLSTAT-ADA performs statistical data analysis on multiple tables such as canonical correspondence analysis, Generalized Procrustean Analysis or Principal coordinates analysis among others. These statistical methods are invaluable for a variety of sectors, ranging from ecology to marketing.
Features:
- Generalized Procrustes Analysis (GPA)
- Canonical Correspondence Analysis (CCA and partial CCA)
- Multiple Factor Analysis (MFA)
- Redundancy analysis (RDA)
- Principal Coordinate Analysis
- Canonical Correlation Analysis (CCorA)
Conjoint / Conjoint analysis software
XLSTAT-Conjoint is a statistical software for marketers. It empowers you to find out the expectations of consumers towards new products and to model their choices thanks to conjoint analyses – crucial steps of a marketing analysis. Two methods of conjoint analysis are available: full profile conjoint analysis and choice based conjoint analysis (CBC). XLSTAT-Conjoint analysis software is a complementary statistical program which allows you to run through all the analytical steps of conjoint analysis from the design of experiments to the simulation of new markets, through data analysis with specific regression methods – MONANOVA, multinomial logit, etc.
Features:
- DoE for conjoint analysis
- DoE for choice based conjoint (CBC) analysis
- Conjoint analysis
- Choice based conjoint analysis
- Simulation for conjoint analysis
- MONANOVA - Monotone regression
- Conditional Logit model
CCR / Correlated Component Regression software
The XLSTAT-CCR module focuses on regression analysis (linear regression, logistic regression, etc.) where a large number of correlated predictors may be available. On many data sets, Correlated Component Regression (CCR) has been shown to outperform penalized regression techniques such as Lasso, and other methods such as Naive Bayes and PLS regression. XLSTAT-CCR develops reliable regression models using CCR methods. CCR models may even include more predictors than cases, a situation that is impossible with traditional regression methods. CCR was developed by Dr. Jay Magidson for simultaneously estimating regression models and excluding irrelevant predictors. Reliable models are obtained using a fast algorithm that incorporates M-fold cross-validation for tuning model parameters (optimal number of predictors and amount of regularization).
Features:
- Correlated Component Regression (CCR)
DOE / Design of Experiment Software
XLSTAT-DOE is a complement to XLSTAT-Pro for those who want to design experiments in a structured way. XLSTAT-DOE contains all the classic experimental designs for screening factors such as factorial designs or Plackett-Burman designs as well as designs for optimization.
Features:
- Screening designs
- Surface response designs
- Analysis of a screening design
- Analysis of a surface response design
Dose / Dose effect analysis software
XLSTAT-Dose is a statistical analysis MS Excel add-in complementary to XLSTAT-Pro that has been developed for dose analysis in the chemical and pharmaceutical industries. The software's main features are dose effect analysis including a large variety of model options (Logit, Probit, Gompertz, Log-log) and four-parameter logistic regression which enables fitting models of the type a-(d-a)/(1+(x/c)^b).
Features:
- Dose effect analysis
- Four/Five-parameter parallel lines logistic regression
Life / Survival analysis software
XLSTAT-Life is a statistical complement for survival analysis and life table analysis. This analytical software solution provides you with mainstream methods such as survival analysis using Kaplan-Meier analysis. It can also take into account competing risks with cumulative incidence, explanatory variables with Cox proportional hazards, and the Nelson-Aalen method for estimating the hazard functions. ROC curves and sensitivity analysis are part of this module. Data analysis of different populations has never been easier!
Features:
- Sensitivity and specificity analysis
- ROC Curves
- Nelson-Aalen Analysis
- Cumulative incidence
- Life table analysis
- Kaplan-Meier analysis
- Cox proportional hazards models
- Method comparison
- Passing and Bablok regression
- Deming regression
MX / Market research and sensory analysis software
XLSTAT-MX is a complementary statistical software dedicated for Market Research analysis. It is a must-have addition for XLSTAT-Pro users who deal with sensory data analysis, and use Preference Mapping, Penalty analysis or other related analytical techniques to provide invaluable insight into customers' behavior in order to identify directions for product improvement.
Features:
- Preference mapping
- Semantic differential chart
- Generalized Procrustes Analysis (GPA)
- Multiple Factor Analysis (MFA)
- Penalty analysis
- Product characterization
- DOE for sensory data analysis
- TURF analysis
- Internal preference mapping
- Panel analysis
Pivot / Pivot table software
XLSTAT-Pivot is a must-have software addition for XLSTAT-Pro to quickly create pivot tables. XLSTAT-Pivot module facilitates your data analysis and helps you to discover important trends and factors impacting your business by structuring your data in a way that allows you to see the most important information first; whereas the reporting tools available on the market today provide you with a lot of features to slice and dice your data they do not offer such synthetic analytical reports.
Features:
- Pivot table
PLS / Partial Least Squares regression software
XLSTAT-PLS is a statistical Excel add-in with advanced modeling tools such as Partial Least Squares (PLS) regression and Principal Component regression (PCR). These regression methods free oneself from some of the constraints of the classical linear regression (OLS or WLS) and analysis of variance, such as the non-colinearity of the explanatory variables and the minimal sample size that must be greater than the number of explanatory variables. Thus, XLSTAT-PLS methods are excellent supplements to the tools contained in our core statistical analysis software - XLSTAT-Pro.
Features:
- Ordinary Least Squares regression (OLS)
- Principal Component Regression
- Partial Least Squares regression
- PLS discriminant analysis
PLSPM / PLS Path Modelling software
XLSTAT-PLSPM - PLS Path Modeling Excel add-in - is the only complementary software that allows using the PLS Path Modeling approach without leaving Microsoft Excel. It is also the most complete offer on the market. The PLS path modeling approach is a powerful data exploration tool when concepts cannot be directly measured (the latent variables) and are interconnected - a causal graph can be drawn -, but relate to measured variables also called manifest variables. PLSPM is in many cases an alternative analysis to the SEM methods (Structural Equation Modeling), and a powerful analytical substitute in the cases where SEM cannot be used.
Features:
- PLS Path Modelling
- Regularized Generalized Canonical Correlation Analysis (RGCCA)
Power / Statistical Power software
XLSTAT-Power is a compelling complementary software for computing and controlling the power of statistical tests or the minimal sample size of an experiment. Calculating the power or the type II error - also named beta risk - of a test beforehand is a key step in setting up an experiment, in order to test a hypothesis in the most efficient statistical way and a timesaver for your analysis. All XLSTAT-Power functions have been intensively tested against other software to guarantee fully reliable results, and to allow you to integrate this software in your Six Sigma business improvement process.
Features:
- Statistical Power for mean comparison
- Statistical Power to compare variances
- Statistical Power for proportion comparison
- Statistical Power for comparing correlations
- Statistical Power for linear regression
- Statistical Power for ANOVA / ANCOVA / Repeated measures ANOVA
- Statistical Power for Logistic regression
- Statistical Power for Cox model
Sim / Simulation software
XLSTAT-Sim is a simulation software that allows you to create models with assessed risk in Microsoft Excel and uses simulation methods such as Monte Carlo and Latin Hypercubes simulations to estimate the distribution (including confidence intervals) of important variables. The supplementary XLSTAT-Sim module is a key decision making tool for people working on statistical risk analysis of models which may contain uncertain values. These uncertainties can be expressed through more than 30 distributions.
Features:
- Simulation
SPC / Statistical Process Control software
XLSTAT-SPC – a Microsoft Excel add-in – offers a powerful statistical analysis software solution for Statistical Process Control (SPC). XLSTAT-SPC is the ideal additional module for companies who apply Six Sigma methods to control and improve the quality of their production or sales processes. XLSTAT-SPC analytical control charts and Measurement System Analysis (MSA) tools, such as Gage Repeatability and Reproducibility for quantitative and qualitative data or Pareto plots, enable you to detect any process deviation.
Features:
- Subgroup Charts
- Individual Charts
- Attribute Charts
- Time Weighted Charts
- Pareto charts
- Gage Repeatability and Reproducibility
- Gage Repeatability and Reproducibility for Attributes
Time / Time series analysis software
XLSTAT-Time is a powerful statistical software for time series analysis and forecasting. XLSTAT-Time complements XLSTAT-Pro by providing you with outstanding functions to find out the degree of dependence between the values of a time series, to discover trends (seasonal or not), to apply specific pretreatments such as the Autoregressive Moving Average variants and finally to build predictive models.
Features:
- Fourier transform
- Mann-Kendall Trend Tests
- Homogeneity tests for time series
- Spectral analysis
- Time series descriptive statistics
- Time series transformation
- Smoothing of time series
- ARIMA
XLSTAT Solutions
XLSTAT Solutions / General Presentation
XLSTAT offers comprehensive solutions for specific industries such as healthcare and pharmaceuticals, sensory analysis, automotive and finance, among others; yet also processes including quality improvement, Six Sigma, product development, and more.
XLSTAT solutions are a combination of XLSTAT modules that have been highly recognised in various sectors - our solutions are designed to provide you with the statistical tools you need in your business to always remain ahead of the game. XLSTAT is recognized as one of today’s leading statistical software packages on the market; moreover, XLSTAT is fully compatible with Microsoft (MS) Excel, therefore allowing you to work within MS Excel’s environment, saving you time and hassle.
XLSTAT’s targeted solutions are a unique opportunity to take advantage of all the statistical and analytical tools you need at discounted rates of up to 50%.
6S / Statistical solution for six sigma
The XLSTAT-6S solution is designed to allow analysts to deploy Six Sigma projects within their organization and optimize processes while quantifying and reducing risks.
The following modules are included:
- Pro
- SPC
- Sim
- Power
Campus / Statistical software solution for universities
XLSTAT-Campus is a tailored statistical solution specially designed for universities and institutes. We offer an annual license available for all the students and teaching staff including XLSTAT-Pro and two modules to choose in the list bellow, at very competitive prices. With the Campus solution you can equip all the university classrooms and provide licenses to the whole teaching body. A minimum of 100 users is required. Please contact us using the form in the contact page to obtain a proforma invoice.
The following modules are included:
- Pro
- Time
- MX
- Life
- Dose
- PLS
- ADA
- SPC
- Sim
- Power
- Conjoint
- DOE
Medical / Statistical solution for drug effect and survival analysis
The XLSTAT-Medical solution is designed for healthcare professionals and researchers that need to analyze data. Testing the effect of drugs, following populations with a particular pathology, and comparing groups of patients has never been easier.
The following modules are included:
- Pro
- Life
- Dose
- PLS
Predict / Statistical solution for predicting and forecasting
The XLSTAT-Predict statistical solution has been designed for those who want to build explanatory or predictive models for risk, sale and stock forecasting. XLSTAT-Predict includes the Pro, 3DPlot, Time, PLS, Sim and Pivot XLSTAT modules. This combination of analytical software makes XLSTAT-Predict the best performing and affordably priced all-in-one statistical analysis package for Microsoft Excel available on the market.
The following modules are included:
- Pro
- 3DPlot
- Time
- Pivot
- PLS
- Sim
- CCR
Sensory / Statistical solution for sensory analysis and customer insight
The XLSTAT-Sensory solution is designed for analysts and researchers that need to analyze sensory data using mainstream techniques as well as unique time saving features. XLSTAT has become a standard for sensory analysis and the continuous addition of new features through a variety of partnerships makes it the tool you need in order to be ahead of the competition. From design of experiment to automated analysis and presentation of results, XLSTAT-Sensory solution allows you to go quicker and farther.
The following modules are included:
- Pro
- 3DPlot
- MX
- PLS
- ADA
Comments
Paula Cullen I have been delighted with the program to date, and have found it easy to use, and of immense value to my data analysis. It is wonderful not to have to change data from one program to another to carry out analysis.
Hal MacFie Anne Hasted and I use XLSTAT for students to carry out exercises on our hands-on courses. Being inside Excel and with clearly defined dialogue boxes and a very good help system, we find that many attendees opt to buy a permanent license at the end of the course. The MX module has GPA, MFA, Penalty Analysis and Preference mapping and the output is clear, easy to explain and it is simple to paste into Powerpoint, so it is an essential part of our course and a very useful tool for a sensory and consumer scientist. I also use it myself for doing consultancy analyses!
Sarah M. Bharath, The University of the West Indies I have always had a difficult time with stats and statistical packages. This is the first time I have actually ENJOYED working with tutorials and making sense of data. This program has literally restored my interest in learning more and more statistical procedures and I have been telling all of my co-workers and fellow graduate students about it! Thanks!
William (Bill) Ratcliffe I wanted a stats pack that would work with excel and I chose XLSTAT since it was the best package around.
Dr. Roger Winkle I chose XLSTAT for its ease of use with Excel, the very good graphics output and the ability to easily edit the graphics for publication quality figures. As an MD researcher, I really liked the package with all of the medical stats options available at a price about 1/5th of STS.
William McNair , Comcast I decided to buy XLSTAT as I just needed a personal stats program that was comprehensive, not expensive and Excel-based. I chose XLSTAT as its Basic module contains a lot of neat stat stuff... and it FULLY integrates with Excel. In addition the modules are accessible to VBA macros and the output tables are predictable (easy to reference with Excel formulas for downstream calculations).
Mike Bendixen, Nova Southeastern University I was seeking an Excel stats add-in and I chose XLSTAT as it was the best stats Excel add-in available.
Gary Lustig, Geo Explore Before deciding on buying XLSTAT I tried several Excel add-in program demos. I chose XLSTAT as for me the key application was factor analysis. The software worked fairly well compared to previous software I used - 'Statistica' and also cost less.
Emanuele Leveroni, LLC I chose XLSTAT as it easy to use, well documented, and has an excellent excel integration. I recommended it to former colleagues at Fiat as I think it is a good product.
Michael Lapp, Memecon I was looking for Excel Plugins and checking different alternative before deciding on buying XLSTAT. I chose XLSTAT as it was the best opportunity.
Damien Pruneau, PepsiCo I compared XLSTAT to the software that were already in my company in terms of range of tests, ease-of-use and possibility of controlling details of the analysis as well as the ouptuts (tables and graphs) and decided to buy it. I chose XLSTAT as it is the most complete statistical software, especially for sensory analysis with the dedicated module.
Marianne Elliott, WSU Puyallup I chose XLSTAT as it is easier to use than SAS and doesn't require me to write code, and it can do a large number of statistical tests.
Leanie Louw, Distell I chose XLSTAT as it is cost effective and well adapted for sensory data. Also Excel interface is very useful, and there is a wide variety of statistical tools.
Vladimir Babenko, Institute of Cytology and Genetics I tried XLSTAT through several trial versions and I chose XLSTAT because it's just what I wanted. I have recommended XLSTAT to my colleagues as it is the closest solution to my environment (Life Science). I like the fact that XLSTAT uses Excel spreadsheet and offers good examples.
Jeff Aucott, Mining Exploration and Geosystem Associates – MEGA Before deciding on buying XLSTAT I checked about three statistics packages. I chose XLSTAT as it is Excel based, and has a good selection of programs for processing geochemical and mining data. I have recommended it to several mining companies as it is a good package especially for geologists using the software in decision making for mining and exploration.
James C. McGrath, Director of Research I found XLSTAT in 2007 while searching on the web. I was looking for a statistical add-in for Excel to integrate with our internal models we developed for hedge fund research and allocations. XLSTAT was a great discovery. It seemed like an easy choice as the software has a fair price, a rich feature set, is stable, and allows for API-based interactions. It is a great product that I have already recommended to acquaintances who do similar quantitative analysis in Excel.