Single-Factor Design: CRD • inti

Planning an experiment follows a reproducible routine:

Load required libraries: Load inti, knitr, and dplyr packages.
Define factor levels: Set up lists with genotypes, treatments, and management factors.
Dispatch design generator: Choose between CRD, RCBD, Split-plot, or Augmented designs.
Plot the field sketch: Verify spatial layouts and serpentine/zigzag sequences.
Label design: Design the experimental labels to facilitate the data collection.
Export to Field Book app: Generate field-ready sheets with trait parameters.

# Install packages and dependencies

library(inti)
library(dplyr)
library(huito)

Completely Randomized Design (CRD)

The Completely Randomized Design is recommended when experimental units are homogeneous, such as germination chambers, lab assays, or controlled greenhouse benches.

# 1. Define salinity levels (NaCl concentrations in mM)
factors_crd <- list(
  NaCl= c("0", "50", "100", "150", "200")
)

# 2. Generate CRD layout (5 treatments x 4 replications = 20 petri dishes/units)
crd_exp <- design_repblock(
  factors = factors_crd,
  type = "crd",
  rep = 4,
  zigzag = TRUE,
  seed = 2026
)

# Fieldbook preview
crd_exp$fieldbook %>% 
  head(10) %>% 
  knitr::kable(caption = "CRD Fieldbook preview")

CRD Fieldbook preview
qrcode	plots	ntreat	NaCl	sort	rep	rows	cols	design
inkaverse_1001	1001	1	0	1	1	1	1	crd
inkaverse_1002	1002	1	0	2	3	1	2	crd
inkaverse_1003	1003	3	100	3	3	1	3	crd
inkaverse_1004	1004	2	50	4	2	1	4	crd
inkaverse_1005	1005	3	100	5	2	1	5	crd
inkaverse_1006	1006	2	50	6	1	2	5	crd
inkaverse_1007	1007	4	150	7	3	2	4	crd
inkaverse_1008	1008	2	50	8	3	2	3	crd
inkaverse_1009	1009	4	150	9	4	2	2	crd
inkaverse_1010	1010	5	200	10	2	2	1	crd


# Layout on germination chamber shelves

tarpuy_plotdesign(
  data = crd_exp,
  factor = "NaCl",
  fill = c("plots", "NaCl")
)

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.

# Experimental fieldbook
fb <- crd_exp$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.

font <- c("Permanent Marker", "Tillana", "Courgette")

huito_fonts(font)

You can find more fonts in https://fonts.google.com/

Label design

label <- fb %>%
  label_layout(
    size = c(5.2, 10)
    ,
    border_color = "#5C0000"
    ,
    border_width = 1.5
  ) %>%
  include_image(
    value = "https://inkaverse.com/img/inkaverse.png"
    ,
    size = c(1.3, 1.5)
    ,
    position = c(0.8, 9.1)
  )  %>%
  include_text(
    value = "plots"
    ,
    position = c(4.2, 9.1)
    ,
    size = 20
    ,
    color = "black"
    ,
    fontface = "bold"
    ,
    font = font[1]
  )  %>%
  include_image(value = "https://huito.inkaverse.com/img/scale.pdf"
                ,
                size = c(5, 1)
                ,
                position = c(2.6, 7.7)) %>%
  include_barcode(value = "qrcode"
                  ,
                  size = c(5, 5)
                  ,
                  position = c(2.6, 4.7)) %>%
  include_text(
    value = "NaCl"
    ,
    position = c(2.6, 1.7)
    ,
    size = 12
    ,
    prefix = "NaCl: "
    ,
    color = "blue"
    ,
    font = font[2]
    , 
    fontface = "bold"
  )  %>%
  include_image(value = "https://huito.inkaverse.com/img/scale.pdf"
                ,
                size = c(5, 1)
                ,
                position = c(2.6, 0.6))

Label preview

The preview mode label_print(mode = "preview") generate a example of the label design from a random row of the data set.

Generate the complete labels

If you want generate the complete labels list, change: label_print(mode = "complete").

label %>% 
  label_print(mode = "complete"
              , filename = "vertical-DCA-1"
              , nlabels = 12)