# Efficient and Flexible Data Preprocessing Tools

## Documentation for package ‘dataprep’ version 0.1.5

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

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