GerminaR (version 2.1.5)

gquant_analysis: GerminaQuant data analysis

Description

Function analysis of variance for summary data.

Usage

gquant_analysis(
  data,
  response,
  factors,
  block = NA,
  comparison = NA,
  type = "snk",
  sig = 0.05
)

Value

list

Arguments

data

data from ger_summary() function

response

germination indices to analyse

factors

factor as vector or factor model as string

block

block factor for RCBD

comparison

treatments will be compared.

type

method for made comparison analysis: c("snk", "tukey", "duncan").

sig

significance level. Default 0.05

Details

Function for the analysis module in the app

Examples

 

if (FALSE) {

library(GerminaR)

smr <- ger_summary(SeedN = "seeds", evalName = "D", data = prosopis)

mc <- gquant_analysis(data = smr
                      , response = "grp"
                      , factors = c("nacl", "temp")
                      , block = "rep"
                      , comparison = c("nacl", "temp")
                      )
                      
mc

}