getNumSum: Computes the components and plots for the Numeric Summary
In ptl93/AEDA: Automated Exploratory Data Analysis

Description Usage Arguments Value

getNumSum applies function over columns in order to extract location- and scale parameters.

In Addition to that, for each column, a ggplot object will be implemented. For the numeric summary data.frame following columns will be explained:

The sample kurtosis will be calculated via 1/n * ∑_{i=1}^{n}(x_i - \bar{x} / s)^{4}
The sample skewness will be calculated via 1/n * ∑_{i=1}^{n}(x_i - \bar{x} /s)^{3}
l.bound is defined as q_{0.25} - 1.5IQR and lbound is defined as q_{0.75} + 1.5IQR
where IQR = q_{0.75} - q{0.25}

1	getNumSum(data, features, target, geom.hist.args, geom.dens.args, geom.box.args)

`data`	[`data.frame`] A Dataframe with different variables.
`features`	[`character(length(numeric.features))`] A character vector with length of the number of numeric features in the dataset. This will be computed automatically when calling this function.
`target`	[`character(1)`] The target column
`geom.hist.args`	[`list()`] Other arguments to be passed to geom_histogram. Inserted in makeNumSumTask
`geom.dens.args`	[`list()`] Other arguments to be passed to geom_density. Inserted in makeNumSumTask
`geom.box.args`	[`list()`] Other arguments to be passed to geom_boxplot. Inserted in makeNumSumTask