Description Usage Arguments Details Value
View source: R/analyzeResult.R
The function analyzeResult
conducts a first level analysis of
estimated time series.
1 2 3 | analyzeResult(modelOutput, zero.val = 0.001, cens.level = 0.005,
min.obs = 0.01, ErrLevs = seq(0.01, 1.5, 0.01), bins = seq(0, 1, 0.01),
FlowStat = F)
|
modelOutput |
A list of model results, in the format returned by
|
zero.val |
(optional) The censoring value used to indicate a
censored streamflow value. The default is |
cens.level |
(optional) The value below which a streamflow value is
considered censored. (Rounded down rather than up.) The default is
|
min.obs |
(optional) The minimum non-censored value of streamflow.
The default is |
ErrLevs |
(optional) A vector of percent error values that should be
used to construct the cumulative distribution of absolute percent errors.
The default is |
bins |
(optional) A vector of the bin limits that should be used to
characterize the the percent errors along the flow duration curve. The
default is |
FlowStat |
(optional) A logical indicating if the streamflow
statistics should be evaluated. This will increase run time. The default
is |
The single-value performance metric calcuated include: The Nash-Sutcliffe
efficieny of daily streamflow, the Nash-Sutcliffe efficiency of the
logarithms of the daily streamflow, the root-mean-square error statistics
from rmse_like
for natural and logarithm streamflows, the
average percent errors of the natural streamflows, the average differences
of the logarithms of streamflows, and the
Pearson and Spearman correlations between observed and simulated streamflow.
A list of several elements:
PerfMat |
A data frame of single-value performance metrics for each target location. See details. |
CumDistErr |
A list of two elements:
|
ErrAlongFDC |
A list of several elements:
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.