Kovach Computing Services
The easy and inexpensive way to analyze your data

XLSTAT

Tools and Analyses

The following tools and analyses are contained in the main XLStat-Base program. Other optional analyses are available in the various advanced solutions.

Preparing data	Raking survey data Coding Coding by Ranks Presence/Absence coding Complete Disjunctive Coding (Creating dummy variables) Create contingency tables Data management Data Sampling Discretization Distribution Sampling Missing Data Variable transformations
Describing data	Biserial correlation Variable characterization Contingency Table (descriptive statistics) Quantiles estimates Descriptive Statistics (including box plots and scattergrams) Histograms Similarity/Dissimilarity Matrixes (correlation...) Multicolinearity statistics Normality tests (including q-q plots and p-p plots) Pivot table Resamped statistics
Analyzing data	Agglomerative Hierarchical Clustering (AHC) Principal Component Analysis (PCA) Multiple Correspondence Analysis (MCA) Discriminant analysis (DA) Factor Analysis Correspondence Analysis (CA) Principal Coordinate Analysis k-means Clustering Gaussian mixture models Multidimensional Scaling (MDS) Univariate Clustering
Visualizing data	Plot a Function Error bars Parallel Coordinates Visualization Ternary diagrams Plot management Semantic differential charts Univariate Plots Histograms Scatter plots
Modeling data and forecasting	Two-stage least squares regression Cubic splines Distribution Fitting ANOVA Multivariate Analysis of Variance (MANOVA) PLS discriminant analysis ANCOVA Welch and Brown-Forsythe one-way ANOVA Mixed models Repeated Measures ANOVA Logistic regression (Logit, Probit) Nonparametric regression (kernel & lowess) Linear Regression Log-linear regression (Poisson regression) Ordinal logit model Non-linear regression Ordinary Least Squares regression (OLS) Partial Least Squares regression (PLS) Principal Component Regression (PCR) Quantile regression
Correlation and Association tests	Biserial correlation Correlation tests Cochran-Armitage trend test RV coefficient Correlation tests Mantel test Tests on Contingency Tables
Parametric Tests	One sample t and z tests One-sample variance test Test for one proportion Two samples t and z tests Two samples comparison of variances Test for two proportions Equivalence test (TOST) k proportions test k samples comparison of variances Multidimensional tests (Mahalanobis, ...) Multinomial goodness of fit test
Non-parametric Tests	One sample runs test Non-parametric tests on two independent samples Cochran-Mantel-Haenszel test Cochran's Q test Durbin and Skillings-Mack tests Friedman test Kruskal-Wallis' test McNemar's test Mood test (Median test) Non-parametric tests on two paired samples Page test
Testing for Outliers	Cochran C test for outlying variances Dixon test for outliers Grubbs test for outliers Mandel’s h and k statistics for outliers
Tools	Export to GIF/JPG/PNG/TIFF Manage the menu bars (Display the main bar, Hide the sub-bars) Manage data (DataFlagger, MinMaxSearch, Remove text values in a selection) Manage workbook (Sheets management, Delete hidden sheets, Show hidden sheets) Quickly relaunch a pre-configured analysis on modified data
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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Copyright © Kovach Computing Services, Anglesey, Wales. All Rights Reserved. Portions copyright Addinsoft and Provalis Research.

Last modified 29 January, 2019