Description Usage Arguments Examples
View source: R/dart_prep_streamflow.R
MkDischargeVariance
makes variances fr prettyUsgs discharge
observations. The formulation of the variances is subjective. Assuming
zero-mean Gaussian observation errors, the approach here is to supply a
function which estimates the 3-sigma (inner 99.5
observations. This amount seems somewhat easier to conceptualize than
1-sigma, hence here we are. This function divides the error amounts by 3 and
either returns the standard deviation or squares the result to return the
variance (default).
1 | MkDischargeVariance(prettyUsgs, error3SdFunc, retVariance = TRUE)
|
prettyUsgs |
The prettyUsgs discharge observations to which variances are to be added. |
error3SdFunc |
Function which accepts the data and returns 3-sigma error estimates. |
retVariance |
Logical Returns variance if TRUE, else returns 1-sigma error. |
1 2 3 4 5 6 7 8 9 10 | ## Not run:
dbPath <- '~/usgsDb/'
prettyOrodell <-
PrettySiteData(QuerySiteData(QuerySiteName("FOURMILE CREEK AT ORODELL, CO", path=dbPath),
product='00060', path=dbPath),metricOnly=FALSE, metric=TRUE)
prettyOro <- MkDischargeVariance(prettyOrodell, Model3SdErrClimTaper)
prettyO <- subset(prettyOro, dateTime < as.POSIXct('2012-01-01'))
oroPlot <- PlotPrettyData(prettyO)
## End(Not run)
|
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