fitDF: creates a fit table data.frame with the columns...

In BenBruyneel/BBPersonalR: BBPersonalR

creates a fit table data.frame with the columns predictorColumn, ResponseColumn, Calculated Predictor, Recovery of predictor

Description

creates a fit table data.frame with the columns predictorColumn, ResponseColumn, Calculated Predictor, Recovery of predictor

Usage

fitDF(
  fitTable,
  predictorColumn = 1,
  responseColumn = 2,
  weights = NULL,
  fit = fitLM(fitTable, predictorColumn = predictorColumn, responseColumn =
    responseColumn, weights = weights),
  removeInf = TRUE
)

Arguments

fitTable	data.frame containing the data to be fitted
predictorColumn	can be integer (column number) or character (column name)
responseColumn	can be integer (column number) or character (column name)
weights	default = NULL, otherwise must be integer to give weights to the predictor values (see also function weightsVector) or a numeric vector with length = number of rows in calibrationTable
fit	model object (eg coming from lm() or fitLM())
removeInf	Due to the nature of the calculations, the recovery sometimes results in +Inf or -Inf (infinite values). If this option is TRUE then these values are replaced by NA

Value

a data.frame witg columns: predictorColumn, ResponseColumn, Calculated Predictor, Recovery of predictor

BenBruyneel/BBPersonalR documentation built on Aug. 23, 2024, 8:28 p.m.