duplicate_columns

Looks for data that have been digitized twice by mistake. For sud-daily data,
this is done by looking for series of zero differences between adjacent
observation times. For daily data, by looking for series of zero differences 
between the same days of adjacent months.

Quality control and formatting tools developed for the Copernicus Data Rescue Service. The package includes functions to handle the Station Exchange Format (SEF), various statistical tests for climate data at daily and sub-daily resolution, as well as functions to plot the data. For more information and documentation see <https://datarescue.climate.copernicus.eu/st_data-quality-control>.

Yuri Brugnara

dataresqc

C3S Quality Control Tools for Historical Climate Data

Alba Gilabert

Clara Ventura

Stefan Hunziker

duplicate_columns function

<dl><dt>Data</dt>
<dd>A character string giving the path of the input file,
or a matrix with 5 (7) columns for daily (sub-daily) data: variable code, year, 
month, day, (hour), (minute), value.</dd>
<dt>meta</dt>
<dd>A character vector with 6 elements: station ID, latitude, longitude,
altitude, variable code, units. If <code>Data</code> is a path, <code>meta</code> is
ignored.</dd>
<dt>outpath</dt>
<dd>Character string giving the path for the QC results.</dd>
<dt>ndays</dt>
<dd>Number of consecutive days with zero difference required to
flag the data. The default is 5.</dd></dl>

Arguments

Author

Duplicate columns test — duplicate_columns

<dl>

<dt>Data</dt>
<dd>A character string giving the path of the input file,
or a matrix with 5 (7) columns for daily (sub-daily) data: variable code, year, 
month, day, (hour), (minute), value.</dd>


<dt>meta</dt>
<dd>A character vector with 6 elements: station ID, latitude, longitude,
altitude, variable code, units. If <code>Data</code> is a path, <code>meta</code> is
ignored.</dd>


<dt>outpath</dt>
<dd>Character string giving the path for the QC results.</dd>


<dt>ndays</dt>
<dd>Number of consecutive days with zero difference required to
flag the data. The default is 5.</dd>

</dl>

duplicate_columns: Duplicate columns test

Description

Usage

Arguments

Author

Details

Examples