GerminaQuant data analysis — gquant

Function analysis of variance for summary data.

Usage

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

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

Value

list

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

}