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
