Mean comparison using data frames

Source: R/mean_comparison.R

Function to compare treatment from lm or aov using data frames

mean_comparison(
  data,
  fb_smr,
  variable,
  model_facts,
  comp_facts,
  test_comp = "SNK",
  sig_level = 0.05,
  graph_opts = FALSE,
  digits = 2
)

Arguments

data

Fieldbook data.
fb_smr

Summary of the variables in the fieldbook.
variable

Model used for the experimental design.
model_facts

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

Significance level for the analysis (default = 0.05).
test_comp

Significance level for the analysis (default = 0.05).
sig_level

Significance level for the analysis (default = 0.05).
graph_opts

Include option in the table for graphs (default = FALSE).
digits

Number of digits in the table.

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/"
              , "15r7ZwcZZHbEgltlF6gSFvCTFA-CFzVBWwg3mFlRyKPs")
# browseURL(url)
gs <- as_sheets_id(url)

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

fbsm <- fieldbook_summary(data
                 , last_factor = "genotype"
                 , model_facts = "treat*genotype"
                 , comp_facts = "treat:genotype"
                 ) 

mc <- mean_comparison(data
                     , fb_smr = fbsm
                     , variable = "HI"
                     , graph_opts = TRUE
                     )

table <- mc$comparison

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

}