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") }