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radiomics (version 0.1.3)

first_order_features: First order features

Description

First order features

Usage

calc_energy(data)
calc_entropy(data, base = 2, nbins = length(unique(c(data))))
calc_kurtosis(data)
calc_meanDeviation(data)
calc_skewness(data)
calc_uniformity(data, nbins = length(unique(c(data))))
calc_mean(data)
calc_median(data)
calc_max(data)
calc_min(data)
calc_variance(data)
calc_RMS(data)
calc_sd(data)

Arguments

data

Numeric 2D matrix data.

base

The base for which the logarithm is calculate

nbins

The number of bins the histogram is discretized into

Functions

  • calc_energy: Energy (ASM)

  • calc_entropy: Entropy

  • calc_kurtosis: Kurtosis

  • calc_meanDeviation: Mean Deviation

  • calc_skewness: Skewness

  • calc_uniformity: Uniformity

  • calc_mean: Mean

  • calc_median: Median

  • calc_max: Maximum Value

  • calc_min: Minimum Value

  • calc_variance: Variance

  • calc_RMS: Root Mean Squared

  • calc_sd: Standard Deviation

References

http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0102107#s5