LorMe (version 1.2.1)

kruskal_report: Print Kruskal-Wallis Rank Sum Test report

Description

Print Kruskal-Wallis Rank Sum Test report

Usage

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

Value

kruskal_report returns list with

1)basic data description

2)summary of Kruskal-Wallis Rank Sum Test

3)model of multiple comparison

4)difference of multiple comparison

5)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" or "Tukey".

equally_rep

Logical. Whether all treatments have same number of replication.

report

Logical. If print report to console. Default:TRUE

Examples

data("cotton",package ="agricolae" )
kruskal_results=kruskal_report(data = cotton,treatment_col =3,value_col = 5)
##here returns NULL because no significance among groups

##to conduct prior comparisons.
kruskal_results=kruskal_report(data = cotton,treatment_col =3,value_col = 5,prior = TRUE)


data("iris")
kruskal_results=kruskal_report(data = iris,treatment_col = 5,value_col = 2)

###extract return##

###basic data description
kruskal_results$basicdata

###summry of Kruskal-Wallis Rank Sum Test
kruskal_results$Kruskal_Wallis_summary

###model of multiple comparision
kruskal_results$muiltiple_comparision_model

###difference of multiple comparision
kruskal_results$comparision_results

###letters of multiple comparision, which could be use for visualization.
kruskal_results$comparison_letters