kruskal_report {LorMe} | R Documentation |
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
)
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 |
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.
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
[Package LorMe version 1.1.0 Index]