loadLm: Create a fitted loadLm object.
In McDowellLab/loadflex: Models and Tools for Watershed Flux Estimates

Description Usage Arguments Value See Also Examples

Generates a new model of class loadInterp (loadLm-class) which can connect observations of concentration or flux using a linear regression model.

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loadLm(formula, pred.format = c("flux", "conc"), data, metadata,
  fitting_function = NULL, y.trans.function = NULL,
  retrans.function = exp, store = c("data", "fitting.function"), ylog)

`formula`	A formula specifying the linear model to fit.
`pred.format`	In what format (flux or conc) does the lm object make predictions when predict.lm() is called?
`data`	data.frame. The data to be interpolated
`metadata`	metadata, used to access the appropriate columns of data. At a minimum, `metadata` should correctly specify the date column.
`fitting_function`	a fitting function that can produce a new loadComp object from new data (this currently uses the same new data for both regression calibration and interpolation)
`y.trans.function`	function that accepts a vector of predictions straight from the fitted model and retransforms them, if appropriate, to predictions in linear space and with units of concentrationflow. Because load models are frequently fit to log(y) ~ ..., the default is retrans.function=exp. After retrans.function has been applied to the predictions, the retransformed predictions will automatically undergo further units conversion from concflow to load.rate, according to the metadata elements conc.units, flow.units, and load.rate.units.
`retrans.function`	function that accepts a vector of predictions straight from the fitted model and retransforms them, if appropriate, to predictions in linear space and with units of concentrationflow. Because load models are frequently fit to log(y) ~ ..., the default is retrans.function=exp. After retrans.function has been applied to the predictions, the retransformed predictions will automatically undergo further units conversion from concflow to load.rate, according to the metadata elements conc.units, flow.units, and load.rate.units.
`store`	One or more character strings specifying which information to write within the model. Options are 'data': the original fitting data; 'fitting.function': a fitting function that can produce a new loadComp object from new data
`ylog`	logical. If TRUE, this constitutes affirmation that the values passed to the left-hand side of the model formula will be in log space. If missing, the value of `ylog` will be inferred from the values of `formula` and `y.trans.function`, but be warned that this inference is fallible.

A fitted loadLm model.

Other load.model.inits: loadComp, loadInterp, loadModel, loadReg2

1 2 3	data(eg_fitdat, eg_metadata) no3_lm <- loadLm(formula=log(NO3) ~ log(DISCHARGE) + DATE, pred.format="conc", data=eg_fitdat, metadata=eg_metadata, retrans=exp)