n_valid

`n_valid()` retrieves the number of data points without missing
 values.

internal

Provides a flexible framework for post-processing thermal
dissipation sap flow data using statistical methods and machine learning.
This framework includes anomaly correction, outlier removal, gap-filling,
trend removal, signal damping correction, and sap flux density calculation.
The functions in this package can also apply to other time series with
various artifacts.

Yoshiaki Hata

fluxfixer

Advanced Framework for Sap Flow Data Post-Process

n_valid function

<dl><dt>vctr</dt>
<dd>A vector to be evaluated.</dd>
<dt>label_err</dt>
<dd>A numeric value representing a missing value in the input
vector(s). Default is -9999.</dd></dl>

Arguments

Author

Obtain the number of data points without missing values — n_valid

<dl>

<dt>vctr</dt>
<dd>A vector to be evaluated.</dd>


<dt>label_err</dt>
<dd>A numeric value representing a missing value in the input
vector(s). Default is -9999.</dd>

</dl>

n_valid: Obtain the number of data points without missing values

Description

Usage

Value

Arguments

Author