rmse_table: Root Mean Square Error Table

In mkoohafkan/RAStestR: Functions for testing RAS outputs

Description

Compute RMSE from a difference table.

Usage

rmse_table(d, group.col, difference.col = "Difference", rmse.col = "RMSE")

Arguments

d	The difference table.
group.col	the column(s) to group differences by. For standard tables, group.col will typically be either "Station" or "Time". For sediment tables, group.col will typically be either c("GrainClass", "Station") or c("GrainClass", "Time").
difference.col	the column containing difference values.
rmse.col	The output column containing RMSE values

Value

A dataframe.

Examples

simple.quasi = system.file("sample-data/SampleQuasiUnsteady.hdf",
  package = "RAStestR")
quasi.flow = read_standard(simple.quasi, "Flow")
quasi.double = operate_table(quasi.flow, fun = function(x) 2*x)
quasi.difference = difference_table(quasi.flow, quasi.double)

rmse_table(quasi.difference, "Time", "Difference", "RMSE")
rmse_table(quasi.difference, "Station", "Difference", "RMSE")

quasi.volincum = read_sediment(simple.quasi, "Vol In Cum")
quasi.double = operate_sediment(quasi.volincum, fun = function(x) 2 * x)
quasi.difference = difference_sediment(quasi.volincum, quasi.double)
rmse_table(quasi.difference, c("Time", "GrainClass"), "Difference", "RMSE")
rmse_table(quasi.difference, c("Station", "GrainClass"), "Difference", "RMSE")

mkoohafkan/RAStestR documentation built on July 14, 2019, 11:41 p.m.