LorMe (version 1.2.1)

anova_report: Print Analysis of Variance report

Description

Print Analysis of Variance report

Usage

anova_report(
  data,
  treatment_col,
  value_col,
  prior = FALSE,
  comparison_method = "Auto",
  equally_rep = TRUE,
  report = TRUE
)

Value

anova_report returns list of:

1)basic data description

2)ANOVA model

3)summary of ANOVA model

4)model of multiple comparison

5)difference of multiple comparison

6)letters of multiple comparison, which could be use for visualization.

Arguments

data

Data frame containing the treatment, value and other information.

treatment_col

Numeric indicating where treatment locates (column number) in data.

value_col

Numeric indicating where treatment value (column number) in data.

prior

logical. Whether conducted prior comparisons.

comparison_method

Default would automaticly choose method. Method of multiple comparison,must be one of "SNK", "Tukey", "bonferroni","LSD" or "Scheffe".

equally_rep

Logical. Whether all treatments have same number of replication.

report

Logical. If print report to console. Default:TRUE

Examples

{
  #' Data loading from 'agricolae' package
  data("cotton", package = "agricolae")

  #' ANOVA report with default settings
  anova_results <- anova_report(
    data = cotton,
    treatment_col = 3,
    value_col = 5
  )
  ## Here returns NULL because no significance among groups

  ## To conduct prior comparisons
  anova_results <- anova_report(
    data = cotton,
    treatment_col = 3,
    value_col = 5,
    prior = TRUE
  )

  ## Here found no difference among groups, thus change to a more sensitive method
  ## (maybe illegal, but only as an example)
  anova_results <- anova_report(
    data = cotton,
    treatment_col = 3,
    value_col = 5,
    prior = TRUE,
    comparison_method = "LSD"
  )

  #' Data loading 'iris' dataset
  data("iris")

  #' ANOVA report for 'iris' dataset
  anova_results <- anova_report(
    data = iris,
    treatment_col = 5,
    value_col = 2
  )

  ### Extract return

  ### Basic data description
  print(anova_results$basicdata)

  ### ANOVA model
  print(anova_results$anova_model)

  ### Summary of ANOVA model
  print(anova_results$anova_summary)

  ### Model of multiple comparison
  print(anova_results$multiple_comparison_model)

  ### Difference of multiple comparison
  print(anova_results$comparison_results)

  ### Letters of multiple comparison, which could be used for visualization
  print(anova_results$comparison_letters)
}