R/Exam3.5.R

In MYaseen208/StroupGLMM: R Codes and Datasets for Generalized Linear Mixed Models: Modern Concepts, Methods and Applications by Walter W. Stroup

#' @title Example 3.5 from Generalized Linear Mixed Models: Modern Concepts, Methods and Applications by Walter W. Stroup(p-85)
#' @name   Exam3.5
#' @description Exam3.5 fixed location, factorial treatment structure, Gaussian response
#' @author \enumerate{
#'          \item  Muhammad Yaseen (\email{myaseen208@@gmail.com})
#'          \item Adeela Munawar (\email{adeela.uaf@@gmail.com})
#'          }
#' @references \enumerate{
#' \item Stroup, W. W. (2012).
#'      \emph{Generalized Linear Mixed Models: Modern Concepts, Methods and Applications}.
#'        CRC Press.
#'  }
#' @seealso
#'    \code{\link{DataSet3.2}}
#'
#' @import parameters
#' @import emmeans
#' @importFrom phia testFactors
#' @importFrom stats glm summary.glm
#' @importFrom mutoss sidak
#'
#' @examples
#' data(DataSet3.2)
#' DataSet3.2$A <- factor(x = DataSet3.2$A)
#' DataSet3.2$B <- factor(x = DataSet3.2$B)
#' DataSet3.2$loc <- factor(x = DataSet3.2$loc, level = c(8, 1, 2, 3, 4, 5, 6, 7))
#'
#' Exam3.5.lm <- lm(formula =  Y~ A + B +loc, data =  DataSet3.2)
#' Exam3.5.lm
#'
#' ##---a0 marginal mean
#' library(emmeans)
#' contrast(
#'        object = emmeans(object  = Exam3.5.lm, specs   = ~ B)
#'      , list(trt = c(1, 0))
#'      )
#' library(phia)
#' testFactors(model = Exam3.5.lm, levels =  list(B = c("0" = 1,"1" = 0) ))
#'
#' ##---b0 marginal mean
#' testFactors(model = Exam3.5.lm, levels=list(B = c("0" = 1, "1" = 0)))
#'
#' ##---Simple effect of A on B0
#' testInteractions(model  =  Exam3.5.lm, custom =  list(B = c("0" = 1,"1" = 0)), across =  "B")
#'
#' ##---Simple effect of B on A0
#' testInteractions(model = Exam3.5.lm, custom =  list(A = c("0" = 1, "1" = 0)), across =  "A")
#'
#' ##---Simple Effect of A over B
#' testInteractions(model = Exam3.5.lm, fixed = "A", across = "B")
#'
#' ##---Simple Effect of B over A
#' testInteractions(model = Exam3.5.lm, fixed = "B", across = "A")
#'
#' #-------------------------------------------------------------
#' ## Individula least squares treatment means
#' #-------------------------------------------------------------
#' emmeans(object = Exam3.5.lm, specs = ~A*B)
NULL