rcbdPlan: Randomized Complete Block Design (RBD)
In Prof-ThiagoOliveira/planExp: Experimental Planning

Description Usage Arguments Author(s) Examples

levels of treatment are randomly assigned to the experimental units within blocks. We assuming that blocks have a systematic effect on the statistical comparisons among treatements. Through randomization, every experimental unit within block has same probability of receiving any treatement. The word 'complete' indicates that each block (group) contains all treatments.

1	rcbdPlan(treat, blocks, seed)

`treat`	`numeric` or complex vector containing treatments levels.
`blocks`	`numeric` or complex vector containing blocks levels.
`seed`	A single `numeric` value, interpreted as an integer, that specifies the starting value of the random number generator.

Thiago de Paula Oliveira, thiago.paula.oliveira@usp.br

## 3 treatments and 4 blocks
rcbdPlan(treat = 3, blocks = 4)

## Running the shiny app
treat <- LETTERS[seq( from = 1, to = 10 )]
design <- rcbdPlan(treat = treat, block = 6)
## Not run: 
buildShiny(design)

## End(Not run)

## Priori for treatment means
blocks <- paste("Block ", seq(1, 6, 1))
treat <- LETTERS[seq( from = 1, to = 6 )]
design2 <- rcbdPlan(treat = treat, blocks = blocks)
## Not run: 
buildShiny(design2)

## End(Not run)