drop.years

Removesthose hydrologic years where the fraction of missing data is above the 
defined threshold.

Screens daily streamflow time series for temporal trends and
change-points. This package has been primarily developed for assessing the
quality of daily streamflow time series. It also contains tools for plotting
and calculating many different streamflow metrics. The package can be used to
produce summary screening plots showing change-points and significant temporal
trends for high flow, low flow, and/or baseflow statistics, or it can be used
to perform more detailed hydrological time series analyses. The package was
designed for screening daily streamflow time series from Water Survey Canada
and the United States Geological Survey but will also work with streamflow time
series from many other agencies.
Package update to version 2.0 made updates to read.flows function to allow
loading of GRDC and ROBIN streamflow record formats.
This package uses the `changepoint` package for change point detection.
For more information on change point methods, see the changepoint
package at <https://cran.r-project.org/package=changepoint>.

Jennifer Dierauer

FlowScreen

Daily Streamflow Trend and Change Point Screening

Paul Whitfield

drop.years function

<dl><dt>TS</dt>
<dd>data.frame of streamflow time series loaded with <code>read.flows</code>.</dd>
<dt>NAthresh</dt>
<dd>Numeric value indicating the threshold for missing data points
in any one year. Default is 0.80, indicating that years with more than 80 percent missing data
will be omitted from the metric calculations. This value should always be set to 
greater than 0.1, as years with fewer observations than approximately 1 month will
cause errors.</dd></dl>

Arguments

Author

Drop hydrologic years — drop.years

<dl>

<dt>TS</dt>
<dd>data.frame of streamflow time series loaded with <code>read.flows</code>.</dd>


<dt>NAthresh</dt>
<dd>Numeric value indicating the threshold for missing data points
in any one year. Default is 0.80, indicating that years with more than 80 percent missing data
will be omitted from the metric calculations. This value should always be set to 
greater than 0.1, as years with fewer observations than approximately 1 month will
cause errors.</dd>

</dl>

drop.years: Drop hydrologic years

Description

Usage

Value

Arguments

Author

Examples