gquant_analysis: GerminaQuant data analysis

In Flavjack/GerminaR: Indices and Graphics for Assess Seed Germination Process

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
)

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

Value

list

Examples

 

## Not run: 

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


## End(Not run) 

Flavjack/GerminaR documentation built on May 31, 2022, 9:33 p.m.