gquant_analysis {GerminaR} | R Documentation |
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)
[Package GerminaR version 2.1.4 Index]