AgroR (version 1.3.6)

summarise_anova: Utils: Summary of Analysis of Variance and Test of Means

Description

Summarizes the output of the analysis of variance and the multiple comparisons test for completely randomized (DIC), randomized block (DBC) and Latin square (DQL) designs.

Usage

summarise_anova(analysis, inf = "p", design = "DIC", round = 3, divisor = TRUE)

Value

returns a data.frame or print with a summary of the analysis of several experimental projects.

Arguments

analysis

List with the analysis outputs of the DIC, DBC, DQL, FAT2DIC, FAT2DBC, PSUBDIC and PSUBDBC functions

inf

Analysis of variance information (can be "p", "f", "QM" or "SQ")

design

Type of experimental project (DIC, DBC, DQL, FAT2DIC, FAT2DBC, PSUBDIC or PSUBDBC)

round

Number of decimal places

divisor

Add divider between columns

Author

Gabriel Danilo Shimizu

Examples

library(AgroR)

#=====================================
# DIC
#=====================================
data(pomegranate)
attach(pomegranate)
a=DIC(trat, WL, geom = "point", ylab = "WL")
b=DIC(trat, SS, geom = "point", ylab="SS")
c=DIC(trat, AT, geom = "point", ylab = "AT")
summarise_anova(analysis = list(a,b,c), divisor = TRUE)
library(knitr)
kable(summarise_anova(analysis = list(a,b,c), divisor = FALSE))

#=====================================
vari=c("WL","SS","AT")
output=lapply(vari,function(x){
output=DIC(trat,response = unlist(pomegranate[,x]),ylab = parse(text=x))})
summarise_anova(analysis = output, divisor = TRUE)

#=====================================
# DBC
#=====================================
data(soybean)
attach(soybean)
a=DBC(cult,bloc,prod,ylab = "Yield")
summarise_anova(list(a),design = "DBC")

#=====================================
# FAT2DIC
#=====================================
data(corn)
attach(corn)
a=FAT2DIC(A, B, Resp, quali=c(TRUE, TRUE))
summarise_anova(list(a),design="FAT2DIC")