ts_stat: Calculate time-series over a depth dependent variable

In tadhg-moore/gotmtools: Tools to work with GOTM input data and also process the output data

Description

Calculate a time series of a statistical measure of modelled versus observed water temperature.

Usage

ts_stat(mod, obs, depth.range = NULL, stat = "pearson", tz = "UTC")

Arguments

mod	dataframe; Modelled values in the long format. i.e. same as observed in ACPy
obs	dataframe; Observed values in the long format loaded in using load.obs
depth.range	vector; vector with a depth range to extract RMSE at certain depths. Upper limit first e.g. c(-5,-10). Defaults to whole water column.
stat	'character; which statistic to use. Options are 'RMSE', 'NSE','MAE' and 'pearson'
tz	Timezone string to be supplied to as.POSIXct. Defaults to 'UTC'. This often can be left to the default unless timezone support is specifically required.

Value

data frame; time series of RMSE

tadhg-moore/gotmtools documentation built on Oct. 9, 2019, 2:48 p.m.