Fieldbook summary

Source: R/fieldbook_summary.R

Function to deploy a summary of the variables

fieldbook_summary(
  data,
  last_factor,
  model_facts,
  comp_facts,
  test_comp = "SNK",
  sig_level = 0.05
)

Arguments

data

Field book data.
last_factor

The last factor in your fieldbook.
model_facts

Model used for the experimental design.
comp_facts

Factors to compare. See details.
test_comp

Comparison test (default = "SNK"). Others: "TUKEY", "DUNCAN".
sig_level

Significance level for the analysis (default = 0.05).

Value

data frame

Details

For compare the factors you should use ":". For example, to compare treatment1 and treatment2: treatment1:treatment2.

Examples



library(inti)
library(googlesheets4)

if (gs4_has_token()) {

url <- paste0("https://docs.google.com/spreadsheets/d/"
              , "15uwCgQRtR01B3FJaZBE8t_0bOC_8Bbey9ccwVlZH0jg")
# browseURL(url)
gs <- as_sheets_id(url)

(data <- gs %>%
    range_read("fb"))

fbsm <- fieldbook_summary(data
                 , last_factor = "dosis"
                 , model_facts = "bloque + cultivar*fuenteN*dosis"
                 , comp_facts = "cultivar:fuenteN:dosis"
                 )
fbsm

# fbsm %>% write_sheet(ss = gs, sheet = "fbsm")

}