#pkglibrary(tidyverse)library(readxl)# srcsource(here::here("src/function/stat_function/stat_analysis_main.R")) # for make plot source(here::here("src/function/fig_export.R")) # This function saves a given plot (plot_x) as both a PDF and a high-resolution PNG file at specified dimensions.# cosmeticssulfate_pallet=read_excel(here::here("data/color_palette.xlsm")) %>%filter(set =="sulfure_condition") %>% dplyr::select(color, treatment) %>%pull(color) %>%setNames(read_excel(here::here("data/color_palette.xlsm")) %>%filter(set =="sulfure_condition") %>%pull(treatment) )my_color_palette <-read_excel(here::here("data/color_palette.xlsm"))
---output: html_documenteditor_options: chunk_output_type: console---## Linea mixed model (LMM) ```{r}#pkglibrary(tidyverse)library(readxl)# srcsource(here::here("src/function/stat_function/stat_analysis_main.R")) # for make plot source(here::here("src/function/fig_export.R")) # This function saves a given plot (plot_x) as both a PDF and a high-resolution PNG file at specified dimensions.# cosmeticssulfate_pallet=read_excel(here::here("data/color_palette.xlsm")) %>%filter(set =="sulfure_condition") %>% dplyr::select(color, treatment) %>%pull(color) %>%setNames(read_excel(here::here("data/color_palette.xlsm")) %>%filter(set =="sulfure_condition") %>%pull(treatment) )my_color_palette <-read_excel(here::here("data/color_palette.xlsm"))```## Data importation ```{r, eval = F}```