Package: MKmisc 2.0

Introduction | Descriptive Statistics | IQR | Mean Absolute Deviation | Five Number Summary | Coefficient of Variation (CV) | Signal to Noise Ratio (SNR) | Box- and Whisker-Plot | OR, RR and Other Risk Measures | Generalized Logarithm | Simulate Correlated Variables | Plot TSH, fT3 and fT4 Values | Generalized and Negative Logarithm as Transformations | Change Data from Wide to Long | Confidence Intervals | Binomial Proportion | Mean and SD | Difference in Means | Coefficient of Variation | Quantiles, Median and MAD | Relative Risk | Sample Size | Welch Two-Sample t-Test | Hsu Two-Sample t-Test | Two Negative Binomial Rates | Moderated Tests Based on Package limma | Moderated t-Test | Moderated 1-Way ANOVA | Pairwise moderated t-tests | Multiple Imputation t-Test | Imputation of Standard Deviations for Changes from Baseline | AUC | Estimation | Testing | Pairwise | Pairwise Comparisons | FC and logFC | Arbitrary Criteria | Binary Classification | PPV and NPV | Performance Measures and Scores | Optimal Cutoff | Hosmer-Lemeshow and le Cessie-van Houwelingen-Copas-Hosmer | Sample Size Calculation | Omics Data | Aggregating Technical Replicates | 1- and 2-Way ANOVA | Correlation Distance Matrix | MAD Matrix | Similarity Matrices | Colors for Heatmaps | String Alignment | String Distances | String Similarities | Optimal Alignment | sessionInfo