executeflagout: Remove Outliers
In treenet/treenetproc: Clean, Process and Visualize Dendrometer Data

executeflagout removes outlier values flagged by createflagout.

1	executeflagout(df, len, frag_len, plot_density = FALSE, plot_export, frost_thr)

`df`	input `data.frame`.
`len`	specifies the minimal number of consecutive times the value difference threshold has to be exceeded for flagging.
`frag_len`	numeric, specifies the length of data fragments occurring in-between missing data that are automatically deleted during data cleaning. This can be helpful to remove short fragments of erroneous data within a period of missing data, i.e. after jumps. If `frag_len = NULL` the default value is set to `frag_len = 2.1`.
`plot_density`	logical, defines whether density plots should be drawn in the console. Can be used to check outlier thresholds and removal.
`plot_export`	logical, specifies whether the plots are exported as a `PDF` file to the working directory or are plotted in the console.
`frost_thr`	numeric, increases the thresholds for outlier and jump detection in periods of probable frost (i.e. temperature < `lowtemp`). The thresholds are multiplied by the value provided.