XLSTAT Tutorials
Installation and Settings
- Running XLSTAT the first time (Excel 2007 and 2010)
- Running XLSTAT the first time (Excel 2004, Excel 2003 and earlier versions)
- Installing XLStat on Windows
- Installing XLSTAT on Mac OS X
- Updating Excel
- Running XLSTAT with admin rights under Windows Vista or Windows 7
- Changing the language settings?
- Updating XLSTAT
- Closing XLSTAT
- Uninstalling XLSTAT on Windows
- Uninstalling XLSTAT on Mac OS X
Getting Started
- Selecting data with XLSTAT
- Choosing the way the results are displayed
- Setting up an analysis in XLSTAT
- Creating and customizing a plot with XLSTAT
- Memorizing the data coordinates in the dialog box
- Save and reuse settings of an analysis, example of Principal Component Analysis
- Automate a routine analysis, example of Principal Component Analysis, in XLSTAT
XLSTAT-Pro
Preparing data
- Stratified data sampling with XLSTAT
- Coding and recoding data in XLSTAT
- Creating a contingency table in XLSTAT
- Discretizing a continuous variable
- Filtering observations with XLSTAT
- Transforming the data with XLSTAT - Example of a Box-Cox transformation
- Creating a disjunctive table in XLSTAT
- Raking a survey sample using XLSTAT
Describing data
- Sampling data in a distribution and running a normality test with XLSTAT
- Creating histograms and fitting a distribution with XLSTAT
- Quantiles / percentiles with XLSTAT
- Generating bootstrap statistics using resampling in XLSTAT
- Computing biserial correlations with XLSTAT
Visualizing data
- Creating a Scatter plot with XLSTAT
- Generating box plots with XLSTAT
- Creating histograms and fitting a distribution with XLSTAT
- Creating a Parallel Coordinates Visualization with XLSTAT
- Creating a ternary diagram in XLSTAT
- Creating a chart with error bars with just two clicks
- Adding a curve on an Excel chart with XLSTAT
- Using XLSTAT functions in Excel sheets
- Customizing a PCA chart with XLSTAT to make it easier to interpret
- Creating and customizing a plot with XLSTAT
Analyzing data
- Running a Principal Component Analysis (PCA) with XLSTAT
- Running a Factor analysis with XLSTAT
- Running a Discriminant analysis with XLSTAT
- Running a Correspondence analysis (CA) from a contingency table with XLSTAT
- Running a Correspondence Analysis (CA) from a raw data table with XLSTAT and plot a 3D representation with XLSTAT-3D Plot
- Running a Multiple Correspondence Analysis (MCA) with XLSTAT
- Running a Multidimensional Scaling with XLSTAT
- Running an Agglomerative Hierarchical Clustering with XLSTAT
- Running a k-means clustering to group observations
- Clustering big datasets with XLSTAT - Using k-means clustering followed by an AHC
Modeling data
- Fitting a distribution to a sample of data in XLSTAT
- Running a simple linear regression with XLSTAT
- Multiple linear regression with XLSTAT
- Running a one-way ANOVA followed by multiple comparisons tests
- Running a two-way unbalanced ANOVA with interactions
- Running an ANCOVA with XLSTAT?
- Running a repeated measures ANOVA
- Repeated measures ANOVA using the mixed models
- Running a random components mixed model
- Logistic regression with XLSTAT
- Running a multinomial logit model with XLSTAT
- Running an ordinal logit model with XLSTAT
- Nonparametric regression (kernel regression) with XLSTAT
- Nonlinear regression with XLSTAT
- Nonlinear multiple regression with XLSTAT
- Creating a CHAID classification tree with XLSTAT
Testing a hypothesis
Correlation tests
- Computing a Spearman correlation coefficient and test if it significant or not
- Running a Cochran-Armitage trend test with XLSTAT
- Running a Mantel test with XLSTAT
Parametric tests
- Running a t-test or a z-test to compare the mean of a sample to a value in XLSTAT
- Running a Student's t test on two independent samples
- Running a Fisher's F-test in XLSTAT to assess the equality of variance of 2 samples
- Comparing k>2 variances using the Levene or Bartlett tests
- Test for comparing one proportion to a value in XLSTAT
- Comparing two proportions in XLSTAT
- Comparing k proportions with XLSTAT
- Running a multinomial goodness of fit test with XLSTAT
- Testing if 2 samples or more described by several variables are significantly different or not
- Testing equivalence with TOST in XLSTAT
Nonparametric tests
- Running a Kruskal-Wallis test with XLSTAT
- Running a Mann-Whitney test on two independent samples with XLSTAT
- Running a Wilcoxon signed rank test on two paired samples with XLSTAT
- Running a Friedman's test with XLSTAT
- Running a Mood test to compare medians with XLSTAT
- Running a Durbin, Skillings-Mack test with XLSTAT
- Running a Page test with XLSTAT
- Running a Cochran-Mantel-Haenszel test with XLSTAT
The following tutorials require the installation of the appropriate advanced module.
XLSTAT-3DPlot
XLSTAT-ADA
- How to run a canonical correlation analysis in XLSTAT
- Running a Canonical Correspondence Analysis (CCA) with XLSTAT-ADA
- Multiple Factor Analysis with XLSTAT-ADA
- Generalized Procrustes Analysis with XLSTAT-ADA
- Principal Coordinate Analysis (PCoA) with XLSTAT
XLStat-CCR
- Getting started with Correlated Component Regression (CCR) in XLSTAT-CCR
- Using Correlated Component Regression with a Dichotomous Y and Many Correlated Predictors
- Obtaining Predictions from a 2-class Regression
XLSTAT-Conjoint
- Conjoint analysis with XLSTAT-Conjoint
- Choice based conjoint analysis (CBC) with XLSTAT-Conjoint
- The conditional logit model with XLSTAT-Conjoint
- The monotone regression / MONANOVA method with XLSTAT-Conjoint
XLSTAT-DOE
- How can I generate a factor effect design and how to do the corresponding analysis of the results?
- How can I generate a surface response design and how to do the corresponding analysis of the results?
XLSTAT-Dose
- Dose effect analysis with XLSTAT-Dose
- Running a four parameters logistic regression to compare two samples
XLSTAT-Life
- Generating a life table with XLSTAT-Life
- Running a Kaplan-Meier analysis with XLSTAT-Life
- Running a Nelson-Aalen analysis with XLSTAT-Life
- Running a Cumulative Incidence analyses with XLSTAT-Life
- Running a parametric survival curves analysis with XLSTAT-Life
- Cox proportional hazards model with XLSTAT-Life
- Running a Weibull model (parametric survival regression) with XLSTAT-Life
- Method comparison with the Bland Altman plot
- Method comparison with the Passing and Bablok regression with XLSTAT-Life
- Method comparison with the Deming regression with XLSTAT-Life
- Sensitivity and specificity analysis with XLSTAT-Life
- Creating an ROC curve and identifying the optimal threshold value for a detection method
XLSTAT-MX
- Running a Preference Mapping in XLSTAT
- How to analyze the quality of a sensory panel with XLSTAT-MX?
- Penalty analysis with XLSTAT-MX
- Running a sensory shelf life analysis with XLSTAT-MX
- Running a Bradley-Terry model for pairwise comparisons with XLSTAT-MX
- Multiple Factor Analysis with XLSTAT
- Running a Generalized Procustes Analysis with XLSTAT-MX
- Creating a Semantic differential chart with XLSTAT-MX
- Product characterization in sensory analysis using XLSTAT-MX
- Running a TURF analysis with XLSTAT-MX
- Designing an experiment for sensory analysis with XLSTAT-MX
XLSTAT-Pivot
XLSTAT-PLS
- Running a Partial Least Squares regression with XLSTAT-PLS
- Running a partial least squares (PLS) discriminant analysis with XLSTAT-PLS
XLSTAT-PLSM
- Creating and running a basic XLSTAT-PLSPM project with Excel 2007
- Create and run an XLSTAT-PLSPM project with Excel 2003
- Comparing groups with XLSTAT-PLSPM
- Obtaining classes using the REBUS method with XLSTAT-PLSPM
- Studying moderating effects in PLS Path Modeling with XLSTAT-PLSPM
XLSTAT-Power
- Find necessary sample size for a clinical trial with XLSTAT-Power
- Calculation of the required sample size or statistical power of a mean comparison test with XLSTAT-Power
- Calculating the required sample size or statistical power in a multiple regression with XLSTAT-Power
XLSTAT-Sim
- Simple simulation model in XLSTAT-SIM
- Simulation model with scenario variables and statistics
- Simulation model integrating correlations between distributions be integrated and how can SPC (process capability) indicators
- Generating many distributions in a simulation model efficiently by copying
XLSTAT-SPC
- Generating an individual chart in XLSTAT-SPC
- Generating a subgroup chart
- Generating an attribute chart
- Generating a Pareto plot
- Generating a time weighted chart
- Control and validate your measurement method and systems, when having several quantitative measures taken by one or more operators on several parts with XLSTAT
XLSTAT-Time
- Using differencing to obtain a stationary time series
- Identifying a trend using Mann-Kendall tests with XLSTAT-Time
- Checking if a time series is homogenous with XLSTAT-Time
- Fitting a Holt-Winters seasonal multiplicative model to a time series
- Fitting an ARIMA model to a time series with XLSTAT-Time
- Running a Spectral analysis with XLSTAT-Time
Copyright © 2013 Kovach Computing Services, Anglesey, Wales. All Rights Reserved. Portions copyright Addinsoft and Provalis Research.
Last modified 5 April, 2013