Compute AUC
Miscellaneous Functions from M. Kohl.
Correlation Distance Matrix Computation
The Interquartile Range
Plot of similarity matrix based on correlation
Hosmer-Lemeshow goodness of fit tests.
Compute CV
Confidence Intervals for Binomial Proportions
Compute SNR
AUC-Test
Impute Standard Deviations for Changes from Baseline
Compute Generalized Logarithm
Confidence Intervals for Coefficient of Variation
The Mean Absolute Deviation
Transform data.frame to Long Form
Hsu Two-Sample t-Test
Plot of similarity matrix based on MAD
Compute MAD between colums of a matrix or data.frame
Five-Number Summaries
Compute pairwise AUCs
Moderated t-Test
Pairwise Moderated t-Tests
Confidence Intervals for Difference of Means
Generate colors for heatmaps
Compute the Optimal Cutoff for Binary Classification
Confidence Intervals for Mean and Standard Deviation
Transform OR to RR
Moderated 1-Way ANOVA
Multiple Imputation Student's t-Test
Power calculations for two sample Welch t test
Print Method for Confidence Intervals
Power calculations for a diagnostic test
Compute pairwise fold changes
A function for Analysis of Variance
Compute Performance Measures and Scores for Binary Classification
Compute pairwise values for a given function
Compute pairwise log-fold changes
Compute PPV and NPV.
Power calculation for comparing two negative binomial rates
Power calculations for two sample Hsu t test
Confidence Intervals for Quantiles
Box Plot Statistics
Simulate correlated variables.
Compute Approximate Confidence Interval for RR.
Compute RR, OR, etc.
Plot of a similarity matrix.
Box Plots
Sample Size Planning for Developing Classifiers Using High Dimensional Data
Compute mean of replicated spots
Function to compute distances between strings
Plot TSH, fT3 and fT4 with respect to reference range.
Function to trace back
Function to compute similarity scores between strings
A function for Analysis of Variance
New Transformations for Use with ggplot2 Package