#'
#' @title Partial Computation for Model Fitted Values
#' @description Calculates the fitted values in each data node.
#' @details Considering \code{y} as a response variable and x as study variable, the fitted values are the y-values that
#' would expect for the given x-values according to the best-fitting straight line.
#'
#' @param beta is a list of the regression coefficients.
#' @param formula a string character to be transformed as an object of class \code{formula}.
#' @param x is a study variable.
#'
#' @return a vector of fitted values.
#'
#' @section Dependencies:
#' \code{\link{getVarbyFormula}}
#'
#' @author Paula R. Costa e Silva
#' @export
#'
getNa <- function(formula, v1=NULL, v2=NULL) {
bindxy <- getVarbyFormula(formula)
bindxy$ID <- seq.int(nrow(bindxy))
naLines <- subset(bindxy, is.na(bindxy[,1]))
# if(!is.null(v1)){
# naLines$imp1 <- naLines[,2] * as.numeric(v1)
# }
# if(!is.null(v2)) {
# naLines$imp2 <- naLines[,3] * as.numeric(v2)
# }
return(naLines)
}
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.