Efficient and Flexible Data Preprocessing Tools

Documentation for package ‘dataprep’ version 0.1.5

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