Exam4.3.1 {eda4treeR}R Documentation

Example 4.3.1 from Experimental Design & Analysis for Tree Improvement

Description

Exam4.3.1 presents the germination count data for 4 Pre-Treatments and 6 Seedlots.

Author(s)

  1. Muhammad Yaseen (myaseen208@gmail.com)

  2. Sami Ullah (samiullahuos@gmail.com)

References

  1. Williams, E.R., Matheson, A.C. and Harwood, C.E. (2002).Experimental Design and Analysis for Tree Improvement. CSIRO Publishing.

See Also

DataExam4.3.1

Examples

data(DataExam4.3.1)
library(tidyverse)
library(ggplot2)
fm4.4    <- aov(
 formula     = Percent~Replication+Pretreatment*SeedLot
 , data      = DataExam4.3.1
  #, subset
  #, weights
  #, na.action
 , method      = "qr"
 , model       = TRUE
 , x           = FALSE
 , y           = FALSE
 , qr          = TRUE
 , singular.ok = TRUE
 , contrasts   = NULL
 )
 anova(fm4.4)

 DataExam4.3.1 %>%
   dplyr::group_by(Pretreatment) %>%
   dplyr::summarize(Mean=mean(Percent))

 DataExam4.3.1 %>%
     dplyr::group_by(SeedLot) %>%
     dplyr::summarize(Mean=mean(Percent))

 DataExam4.3.1 %>%
     dplyr::group_by(Pretreatment,SeedLot) %>%
     dplyr::summarize(Mean=mean(Percent))



[Package eda4treeR version 0.3.0 Index]