Exam2.B.3 {StroupGLMM}

Example 2.B.3 from Generalized Linear Mixed Models: Modern Concepts, Methods and Applications by Walter W. Stroup(p-55)

Description

Exam2.B.3 is used to illustrate one way treatment design with Gaussian observations.

Author(s)

1. Muhammad Yaseen ([e-mail])

2. Adeela Munawar ([e-mail])

References

1. Stroup, W. W. (2012). Generalized Linear Mixed Models: Modern Concepts, Methods and Applications. CRC Press.

See Also

DataExam2.B.3

Examples

#-----------------------------------------------------------------------------------
## Means Model  discussed in Example 2.B.3 using DataExam2.B.3
#-----------------------------------------------------------------------------------
Exam2.B.3.lm1 <-
  lm(
      formula     = y~trt
    , data        = DataExam2.B.3
    #  , subset
    #  , weights
    #  , na.action
    , method      = "qr"
    , model       = TRUE
 #  , x           = FALSE
 #  , y           = FALSE
    , qr          = TRUE
    , singular.ok = TRUE
    , contrasts   = NULL
    #  , offset
    #  , ...
  )
summary(Exam2.B.3.lm1)
#-----------------------------------------------------------------------------------
## Effectss Model  discussed in Example 2.B.3 using DataExam2.B.3
#-----------------------------------------------------------------------------------
Exam2.B.3.lm2 <-
  lm(
      formula     = y~0+trt
    , data        = DataExam2.B.3
    #  , subset
    #  , weights
    #  , na.action
    , method      = "qr"
    , model       = TRUE
 #  , x           = FALSE
 #  , y           = FALSE
    , qr          = TRUE
    , singular.ok = TRUE
    , contrasts   = NULL
    #  , offset
    #  , ...
  )
summary(Exam2.B.3.lm2)