getMean

This function return the mean and standard deviation of runoff(output columu) for users.

Providing six different algorithms that can be used to split the
available data into training, test and validation subsets with similar distribution
for hydrological model developments. The dataSplit() function will help you divide
the data according to specific requirements, and you can refer to the par.default()
function to set the parameters for data splitting. The getAUC() function will help
you measure the similarity of distribution features between the data subsets.
For more information about the data splitting algorithms, please refer to:
Chen et al. (2022) <doi:10.1016/j.jhydrol.2022.128340>,
Zheng et al. (2022) <doi:10.1029/2021WR031818>.

Junyi Chen

DSAM

Data Splitting Algorithms for Model Developments

Feifei Zheng

getMean function

<dl><dt>data</dt>
<dd>The original data set, the data type must be numeric, matrix or Data.frame.</dd></dl>

Arguments

Get the mean and  standard deviation of the output column from the original data set — getMean

<dl>

<dt>data</dt>
<dd>The original data set, the data type must be numeric, matrix or Data.frame.</dd>

</dl>

getMean: Get the mean and standard deviation of the output column from the original data set

Description

Usage

Value

Arguments