Data matrix

1. ANOVA 2*2-table CHI2Binomial FrequenciesRanges, Ranks Serial correlationDispersion, CVFourier analysis Mean, Mode Variance, Skewness Distribution CHI2, t-test Binomial, CHI2K-S test BinomialSign-test Yes GLM Kruskal - Wallistest Hypothesisabout distribution Descripitvestatistics Time seriesanalysis Hypothesisabout distribution Test forrandomness Descriptivestatistics Hypothesisabout mean No Not metrical What todo What todo Metrics of independentVariables? Mixed ANCOVA Metrical Metrical Not metrical Metrics Metrics of one dependentvariable Variance test Non-linearregression No Commonvariablility Metrical Linearization Handling one variable No dependentvariable No Factor analysis Grouping Yes Yes GLM Zero or severaldependent variables GLM Datamatrix Cluster analysis Multipleregression No Yes No. clustersgiven Not metrical No Poweranalysis K-meanscluster analysis Parametric Metricsof independentvariables? What to do? Correspondenceanalysis Not metrical Yes Metrics ofdependentvariables Handling two variables Multipleresponsepermutation Severaldependentvariables Logisticregression Non-parametric Idea how toanalyze data What to do? Metrical Hotelling T2 Discriminant analysis What to do? What todo Not metricalor mixed Multivariatecorrespondenceanalysis Pearsonleast squares Yes Metrical GLM Regression Canonicalregression Regression SpearmanKendall Comparingvariances Comparingmeans No Metrics? Linear relations? CANOCO Yes Metrical GLM Grouping Errors normally distributed? Non-metricmultivariatescaling Linearization No Yes No Samplesindependent Samplesindependent Mantel test Comparingmatrices One variable bivariate Yes No Yes TWINSPAN Yes No No Indicator analysis Linear regression Non-linearregression F-test t-testF-test Dependent samples t-test Wilcoxonmatched pairs test U-test Logisticregression Dufrene –Legendre test