Efficient and Flexible Data Preprocessing Tools


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Documentation for package ‘dataprep’ version 0.1.3

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condextr Remove outliers using point-by-point weighed outlier removal by conditional extremum
data Example data (particle number concentrations in SMEAR I Varrio forest)
data1 Example data (data1, particle number concentrations in SMEAR I Varrio forest)
dataprep Data preprocessing with multiple steps in one function
descdata Fast descriptive statistics
descplot View the descriptive statistics via plot
melt Turn variable names and values into two columns
obsedele Delete observations with variable(s) containing too many consecutive missing values (NA) in time series
optisolu Find an optimal combination of 'interval' and 'times' for 'condextr'
percdata Calculate the top and bottom percentiles of each selected variable
percoutl Traditional percentile-based outlier removal
percplot Plot the top and bottom percentiles of each selected variable
shorvalu Interpolation with values to refer to within short periods
varidele Delete variables containing too many missing values (NA)
zerona Turn zeros to missing values