Data Utility Functions

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Documentation for package ‘utilities’ version 0.6.1

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.print.data.frame Print a Data-Frame (allowing column/row separators)
datasets.str Structure of Available Datasets
KDE Kernel Density Estimator
KDE.load Utilities for KDE fits
KDE_utils Utilities for KDE fits
kurtosis Sample Kurtosis
log Logarithm Function
log10 Logarithm Function
log2 Logarithm Function
logsoftmax Softmax and logsoftmax functions and their inverse functions
logsoftmaxinv Softmax and logsoftmax functions and their inverse functions
mappings Examine mappings between factor variables in a data-frame
moments Sample Moments
nlm.prob Nonlinear minimisation/maximisation allowing probability vectors as inputs
PFD Prime Factor Decomposition (PFD)
plot.data.mappings Plot components from data mapping
plot.kde Utilities for KDE fits
plot.queue Generate queuing information from arrival and use times
plot.summary.queue Generate queuing information from arrival and use times
print.data.mappings Examine mappings between factor variables in a data-frame
print.kde Utilities for KDE fits
print.prime.factor.decomposition Prime Factor Decomposition (PFD)
print.queue Generate queuing information from arrival and use times
print.summary.queue Generate queuing information from arrival and use times
queue Generate queuing information from arrival and use times
rm.attr Remove (non-protected) attributes from an object
sample.all All Sampling Variations/Permutations
sample.decomp Sample decomposition
skewness Sample Skewness
softmax Softmax and logsoftmax functions and their inverse functions
softmaxinv Softmax and logsoftmax functions and their inverse functions
summary.queue Generate queuing information from arrival and use times
tailplot Generate tail plots for a data vector
zipfplot Generate Zipf plot