--- title: "Two-Factors Design: CRD" description: > Factorial Complete Randomize Design vignette: > %\VignetteIndexEntry{DoE-2_CRD} %\VignetteEncoding{UTF-8} %\VignetteEngine{quarto::html} knitr: opts_chunk: collapse: true comment: '#>' echo: false warning: false message: false editor_options: chunk_output_type: console --- ```{r setup, include=FALSE} source("https://raw.githubusercontent.com/Flavjack/inti/master/pkgdown/favicon/docs.r") ``` Planning an experiment follows a reproducible routine: 1. **Load required libraries:** Load `inti`, `knitr`, and `dplyr` packages. 1. **Define factor levels:** Set up lists with genotypes, treatments, and management factors. 1. **Dispatch design generator:** Choose between CRD, RCBD, Split-plot, or Augmented designs. 1. **Plot the field sketch:** Verify spatial layouts and serpentine/zigzag sequences. 1. **Label design:** Design the experimental labels to facilitate the data collection. 5. **Export to Field Book app:** Generate field-ready sheets with trait parameters. ```{r, echo=TRUE} # Install packages and dependencies library(inti) library(dplyr) library(huito) ``` # Designs with Two Factors When evaluating two factors, four designs become available: **CRD**, **RCBD**, **Split-plot RCBD**, and **Augmented**. # Factorial Completely Randomized Design (Factorial CRD) Recommended for multi-factor experiments under homogeneous conditions, such as temperature- and salinity-controlled germination assays in growth chambers. ```{r, echo=TRUE} # 1. Define factors: Salinity levels and incubation temperatures factors_crd_2f <- list( NaCl = c("0", "50", "100"), Temp = c("20", "25") ) # 2. Generate factorial CRD layout crd_exp_2f <- design_repblock( nfactors = 2, factors = factors_crd_2f, type = "crd", rep = 4, zigzag = TRUE, seed = 2026 ) # Fieldbook preview crd_exp_2f$fieldbook %>% head(10) %>% knitr::kable(caption = "Factorial CRD Fieldbook preview") # Spatial layout visualization tarpuy_plotdesign( data = crd_exp_2f, factor = "NaCl", fill = c("plots", "Temp") ) ``` # Label The experimental field book generated by the design is used as the input data for label creation. Each row represents an experimental unit, allowing the automatic generation of individualized labels. ```{r, echo=TRUE} # Experimental fieldbook fb <- crd_exp_2f$fieldbook ``` # Customize the label layout The label layout can be customized by combining text, images and QR codes. Each layer can use values from the experimental field book, allowing automatic generation of labels for every experimental plot. Load package and import fonts. ```{r, echo=TRUE} font <- c("Permanent Marker", "Tillana", "Courgette") huito_fonts(font) ``` > You can find more fonts in # Label design ```{r} #| echo: true label <- fb %>% label_layout(size = c(10, 2.5) , border_color = "blue" ) %>% include_image( value = "https://flavjack.github.io/inti/img/inkaverse.png" , size = c(2.1, 2.4) , position = c(1.2, 1.25) # , opts = list("image_scale(200)", "image_noise()") ) %>% include_barcode( value = "barcode" , size = c(2.5, 2.5) , position = c(8.2, 1.25) ) %>% include_text(value = "INKAVERSE" , position = c(4.6, 2) , size = 20 , font = font[1] , fontface = "bold" , color = "red" ) %>% include_text(value = "NaCl" , position = c(4.5, 1.2) , size = 12 , font = font[2] , color = "black" , prefix = "NaCl: " , fontface = "bold" ) %>% include_text(value = "Temp" , position = c(4.6, 0.5) , size = 12 , color = "#009966" , font = font[2] , prefix = "Temperature: " , fontface = "bold" ) %>% include_text(value = "plots" , position = c(9.7, 1.25) , angle = 90 , size = 12 , color = "brown" , font = font[3] , prefix = "Plot: " ) ``` ## Label preview The preview mode `label_print(mode = "preview")` generate a example of the label design from a random row of the data set. ```{r} label %>% label_print(mode = "preview") ``` ## Generate the complete labels If you want generate the complete labels list, change: `label_print(mode = "complete")`. ```{r echo = TRUE} #| eval: false label %>% label_print(mode = "complete" , filename = "horizontal_crd_exp_2f" , nlabels = 12) ```