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MKmisc (version 1.9)
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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1.9
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Install
install.packages('MKmisc')
Monthly Downloads
979
Version
1.9
License
LGPL-3
Issues
1
Pull Requests
0
Stars
11
Forks
2
Repository
https://github.com/stamats/MKmisc
Maintainer
Matthias Kohl
Last Published
November 19th, 2022
Functions in MKmisc (1.9)
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AUC
Compute AUC
MKmisc-package
Miscellaneous Functions from M. Kohl.
corDist
Correlation Distance Matrix Computation
IQrange
The Interquartile Range
corPlot
Plot of similarity matrix based on correlation
HLgof.test
Hosmer-Lemeshow goodness of fit tests.
CV
Compute CV
binomCI
Confidence Intervals for Binomial Proportions
SNR
Compute SNR
AUC.test
AUC-Test
imputeSD
Impute Standard Deviations for Changes from Baseline
glog
Compute Generalized Logarithm
cvCI
Confidence Intervals for Coefficient of Variation
meanAD
The Mean Absolute Deviation
melt.long
Transform data.frame to Long Form
hsu.t.test
Hsu Two-Sample t-Test
madPlot
Plot of similarity matrix based on MAD
madMatrix
Compute MAD between colums of a matrix or data.frame
fiveNS
Five-Number Summaries
pairwise.auc
Compute pairwise AUCs
mod.t.test
Moderated t-Test
pairwise.mod.t.test
Pairwise Moderated t-Tests
normDiffCI
Confidence Intervals for Difference of Means
heatmapCol
Generate colors for heatmaps
optCutoff
Compute the Optimal Cutoff for Binary Classification
normCI
Confidence Intervals for Mean and Standard Deviation
or2rr
Transform OR to RR
mod.oneway.test
Moderated 1-Way ANOVA
mi.t.test
Multiple Imputation Student's t-Test
power.welch.t.test
Power calculations for two sample Welch t test
print.confint
Print Method for Confidence Intervals
power.diagnostic.test
Power calculations for a diagnostic test
pairwise.fc
Compute pairwise fold changes
oneWayAnova
A function for Analysis of Variance
perfMeasures
Compute Performance Measures and Scores for Binary Classification
pairwise.fun
Compute pairwise values for a given function
pairwise.logfc
Compute pairwise log-fold changes
predValues
Compute PPV and NPV.
power.nb.test
Power calculation for comparing two negative binomial rates
power.hsu.t.test
Power calculations for two sample Hsu t test
quantileCI
Confidence Intervals for Quantiles
qbxp.stats
Box Plot Statistics
simCorVars
Simulate correlated variables.
rrCI
Compute Approximate Confidence Interval for RR.
risks
Compute RR, OR, etc.
simPlot
Plot of a similarity matrix.
qboxplot
Box Plots
ssize.pcc
Sample Size Planning for Developing Classifiers Using High Dimensional Data
repMeans
Compute mean of replicated spots
stringDist
Function to compute distances between strings
thyroid
Plot TSH, fT3 and fT4 with respect to reference range.
traceBack
Function to trace back
stringSim
Function to compute similarity scores between strings
twoWayAnova
A function for Analysis of Variance
transformations
New Transformations for Use with ggplot2 Package