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Tools and Analyses

The following tools and analyses are contained in the main XLStat-Basic program. The additional tools and analyses in XLStat-Basic+ are at the end of the list. Other optional analyses are available in the various advanced solutions.

As well as the above analyses, XLSTAT-Basic+ adds the following features
Preparing data	Data Sampling Distribution Sampling Discretization Coding Coding by Ranks Presence/Absence coding Missing Data Complete Disjunctive Tables (Creating dummy variables) Create contingency tables Variable transformations Data management
Describing data	Descriptive Statistics (including box plots and scattergrams) Histograms Normality tests (including q-q plots and p-p plots) Contingency Table (descriptive statistics) Similarity/Dissimilarity Matrixes (correlation...) Multicolinearity statistics Quantiles estimates Resampled statistics Biserial correlation Variable characterization Pivot table
Analyzing data	Principal Component Analysis (PCA) Factorial analysis of mixed data (PCAmix) Correspondence Analysis (CA) Multiple Correspondence Analysis (MCA) Factor Analysis Discriminant analysis (DA) Agglomerative Hierarchical Clustering (AHC) k-means Clustering Univariate Clustering
Visualizing data	Scatter plots Histograms Probability plots 2D plots for cross tables Parallel Coordinates Visualization Ternary diagrams Word cloud Error bars Semantic differential charts Plot a Function Univariate Plots Plot management Motion Charts
Modeling data and forecasting	Distribution Fitting Linear Regression ANOVA Welch and Brown-Forsythe one-way ANOVA ANCOVA Multivariate Analysis of Variance (MANOVA) Logistic regression (Logit, Probit) Ordinal logit model Cubic splines Nonparametric regression (kernel & lowess) Non-linear regression Ordinary Least Squares regression (OLS) Principal Component Regression (PCR) Two-stage least squares regression
Correlation and Association tests	Tests on Contingency Tables Correlation tests Mantel test Cochran-Armitage trend test Biserial correlation RV coefficient
Parametric Tests	Test for one proportion Test for two proportions k proportions test Multinomial goodness of fit test One sample t and z tests Two samples t and z tests One-sample variance test Two samples comparison of variances k samples comparison of variances Multidimensional tests (Mahalanobis, ...) Equivalence test (TOST)
Non-parametric Tests	One sample Wilcoxon Signed-Rank test Non-parametric tests on two independent samples Non-parametric tests on two paired samples Kruskal-Wallis' test Friedman test Page test McNemar's test Cochran's Q test Durbin and Skillings-Mack tests Cochran-Mantel-Haenszel test One sample runs test Mood test (Median test)
Testing for Outliers	Grubbs test for outliers Dixon test for outliers Cochran C test for outlying variances Mandel’s h and k statistics for outliers
Tools	Export to GIF/JPG/PNG/TIFF Manage data (DataFlagger, MinMaxSearch, Remove text values in a selection) Manage workbook (Sheets management, Delete hidden sheets, Show hidden sheets) Manage the menu bars (Display the main bar, Hide the sub-bars)
Mathematical Tools	Probability Calculator
Analyzing data	Principal Coordinate Analysis Gaussian mixture models Multidimensional Scaling (MDS)
Modeling data and forecasting	PLS discriminant analysis Mixed models Repeated Measures ANOVA Log-linear regression (Poisson regression) Partial Least Squares regression (PLS) Quantile regression
XLSTAT-R	Self-Organizing Maps (SOM) Permutational MANOVA or adonis Panel regression Rank-based regression Neural Networks Partitioning Around Medoids Dissimilarity matrix for mixed data GARCH Kriging
XLSTAT-R Notebook	XLSTAT-R Notebook
Machine Learning	Classification and regression trees Association rules k-means clustering Naive Bayes classifier Gaussian mixture models K Nearest Neighbors (KNN) Support Vector Machine

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About KCS

Kovach Computing Services (KCS) was founded in 1993 by Dr. Warren Kovach. The company specializes in the development and marketing of inexpensive and easy-to-use statistical software for scientists, as well as in data analysis consulting.

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Last modified 22 August, 2019