# Exam2.B.3: Example 2.B.3 from Generalized Linear Mixed Models: Modern... In StroupGLMM: R Codes and Datasets for Generalized Linear Mixed Models: Modern Concepts, Methods and Applications by Walter W. Stroup

## Description

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

## References

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

`DataExam2.B.3`
 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42``` ```#----------------------------------------------------------------------------------- ## 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) ```