Miscellaneous Functions from M. Kohl
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Documentation for package ‘MKmisc’ version 1.9
Help Pages
| MKmisc-package | Miscellaneous Functions from M. Kohl. |
| AUC | Compute AUC |
| AUC.test | AUC-Test |
| binomCI | Confidence Intervals for Binomial Proportions |
| corDist | Correlation Distance Matrix Computation |
| corPlot | Plot of similarity matrix based on correlation |
| CV | Compute CV |
| cvCI | Confidence Intervals for Coefficient of Variation |
| fiveNS | Five-Number Summaries |
| glog | Compute Generalized Logarithm |
| glog10 | Compute Generalized Logarithm |
| glog10_trans | New Transformations for Use with ggplot2 Package |
| glog2 | Compute Generalized Logarithm |
| glog2_trans | New Transformations for Use with ggplot2 Package |
| glog_trans | New Transformations for Use with ggplot2 Package |
| heatmapCol | Generate colors for heatmaps |
| HLgof.test | Hosmer-Lemeshow goodness of fit tests. |
| hsu.t.test | Hsu Two-Sample t-Test |
| hsu.t.test.default | Hsu Two-Sample t-Test |
| hsu.t.test.formula | Hsu Two-Sample t-Test |
| imputeSD | Impute Standard Deviations for Changes from Baseline |
| inv.glog | Compute Generalized Logarithm |
| inv.glog10 | Compute Generalized Logarithm |
| inv.glog2 | Compute Generalized Logarithm |
| IQrange | The Interquartile Range |
| iqrCV | Compute CV |
| iqrSNR | Compute SNR |
| madCI | Confidence Intervals for Quantiles |
| madMatrix | Compute MAD between colums of a matrix or data.frame |
| madPlot | Plot of similarity matrix based on MAD |
| meanAD | The Mean Absolute Deviation |
| medCV | Compute CV |
| medianCI | Confidence Intervals for Quantiles |
| medSNR | Compute SNR |
| melt.long | Transform data.frame to Long Form |
| mi.t.test | Multiple Imputation Student's t-Test |
| mi.t.test.default | Multiple Imputation Student's t-Test |
| MKmisc | Miscellaneous Functions from M. Kohl. |
| mod.oneway.test | Moderated 1-Way ANOVA |
| mod.t.test | Moderated t-Test |
| neglog10_trans | New Transformations for Use with ggplot2 Package |
| neglog2_trans | New Transformations for Use with ggplot2 Package |
| neglog_breaks | New Transformations for Use with ggplot2 Package |
| neglog_trans | New Transformations for Use with ggplot2 Package |
| normCI | Confidence Intervals for Mean and Standard Deviation |
| normDiffCI | Confidence Intervals for Difference of Means |
| oneWayAnova | A function for Analysis of Variance |
| optCutoff | Compute the Optimal Cutoff for Binary Classification |
| or2rr | Transform OR to RR |
| pairwise.auc | Compute pairwise AUCs |
| pairwise.fc | Compute pairwise fold changes |
| pairwise.fun | Compute pairwise values for a given function |
| pairwise.logfc | Compute pairwise log-fold changes |
| pairwise.mod.t.test | Pairwise Moderated t-Tests |
| perfMeasures | Compute Performance Measures and Scores for Binary Classification |
| perfScores | Compute Performance Measures and Scores for Binary Classification |
| power.diagnostic.test | Power calculations for a diagnostic test |
| power.hsu.t.test | Power calculations for two sample Hsu t test |
| power.nb.test | Power calculation for comparing two negative binomial rates |
| power.welch.t.test | Power calculations for two sample Welch t test |
| predValues | Compute PPV and NPV. |
| print.confint | Print Method for Confidence Intervals |
| qboxplot | Box Plots |
| qboxplot.default | Box Plots |
| qboxplot.formula | Box Plots |
| qbxp.stats | Box Plot Statistics |
| quantileCI | Confidence Intervals for Quantiles |
| repMeans | Compute mean of replicated spots |
| risks | Compute RR, OR, etc. |
| rrCI | Compute Approximate Confidence Interval for RR. |
| scale_x_glog | New Transformations for Use with ggplot2 Package |
| scale_x_glog10 | New Transformations for Use with ggplot2 Package |
| scale_x_glog2 | New Transformations for Use with ggplot2 Package |
| scale_x_neglog | New Transformations for Use with ggplot2 Package |
| scale_x_neglog10 | New Transformations for Use with ggplot2 Package |
| scale_x_neglog2 | New Transformations for Use with ggplot2 Package |
| scale_y_glog | New Transformations for Use with ggplot2 Package |
| scale_y_glog10 | New Transformations for Use with ggplot2 Package |
| scale_y_glog2 | New Transformations for Use with ggplot2 Package |
| scale_y_neglog | New Transformations for Use with ggplot2 Package |
| scale_y_neglog10 | New Transformations for Use with ggplot2 Package |
| scale_y_neglog2 | New Transformations for Use with ggplot2 Package |
| simCorVars | Simulate correlated variables. |
| simPlot | Plot of a similarity matrix. |
| sIQR | The Interquartile Range |
| SNR | Compute SNR |
| ssize.pcc | Sample Size Planning for Developing Classifiers Using High Dimensional Data |
| stringDist | Function to compute distances between strings |
| stringSim | Function to compute similarity scores between strings |
| thyroid | Plot TSH, fT3 and fT4 with respect to reference range. |
| traceBack | Function to trace back |
| twoWayAnova | A function for Analysis of Variance |