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MKmisc (version 1.8)

Miscellaneous Functions from M. Kohl

Description

Contains several functions for statistical data analysis; e.g. for sample size and power calculations, computation of confidence intervals and tests, and generation of similarity matrices.

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Version

Install

install.packages('MKmisc')

Monthly Downloads

744

Version

1.8

License

LGPL-3

Maintainer

Matthias Kohl

Last Published

August 8th, 2021

Functions in MKmisc (1.8)

HLgof.test

Hosmer-Lemeshow goodness of fit tests.
CV

Compute CV
MKmisc-package

Miscellaneous Functions from M. Kohl.
binomCI

Confidence Intervals for Binomial Proportions
AUC.test

AUC-Test
IQrange

The Interquartile Range
SNR

Compute SNR
AUC

Compute AUC
corDist

Correlation Distance Matrix Computation
corPlot

Plot of similarity matrix based on correlation
cvCI

Confidence Intervals for Coefficient of Variation
glog

Compute Generalized Logarithm
heatmapCol

Generate colors for heatmaps
optCutoff

Compute the Optimal Cutoff for Binary Classification
or2rr

Transform OR to RR
meanAD

The Mean Absolute Deviation
mi.t.test

Multiple Imputation Student's t-Test
hsu.t.test

Hsu Two-Sample t-Test
print.confint

Print Method for Confidence Intervals
mod.oneway.test

Moderated 1-Way ANOVA
imputeSD

Impute Standard Deviations for Changes from Baseline
madPlot

Plot of similarity matrix based on MAD
madMatrix

Compute MAD between colums of a matrix or data.frame
predValues

Compute PPV and NPV.
fiveNS

Five-Number Summaries
oneWayAnova

A function for Analysis of Variance
normDiffCI

Confidence Intervals for Difference of Means
power.nb.test

Power calculation for comparing two negative binomial rates
melt.long

Transform data.frame to Long Form
twoWayAnova

A function for Analysis of Variance
pairwise.fun

Compute pairwise values for a given function
pairwise.auc

Compute pairwise AUCs
power.welch.t.test

Power calculations for two sample Welch t test
pairwise.fc

Compute pairwise fold changes
pairwise.mod.t.test

Pairwise Moderated t-Tests
ssize.pcc

Sample Size Planning for Developing Classifiers Using High Dimensional Data
quantileCI

Confidence Intervals for Quantiles
repMeans

Compute mean of replicated spots
stringSim

Function to compute similarity scores between strings
stringDist

Function to compute distances between strings
simCorVars

Simulate correlated variables.
thyroid

Plot TSH, fT3 and fT4 with respect to reference range.
mod.t.test

Moderated t-Test
simPlot

Plot of a similarity matrix.
normCI

Confidence Intervals for Mean and Standard Deviation
rrCI

Compute Approximate Confidence Interval for RR.
pairwise.logfc

Compute pairwise log-fold changes
power.diagnostic.test

Power calculations for a diagnostic test
risks

Compute RR, OR, etc.
power.hsu.t.test

Power calculations for two sample Hsu t test
perfMeasures

Compute Performance Measures and Scores for Binary Classification
traceBack

Function to trace back
qbxp.stats

Box Plot Statistics
transformations

New Transformations for Use with ggplot2 Package
qboxplot

Box Plots