summary_seq_clatworthy: Available cross-over designs from Clatworthy (1973)
In mjg211/xover: Design and analysis of cross-over clinical trials

Description Usage Arguments Details Value References See Also Examples

Summarises the cross-over designs available from Clatworthy (1973) via the function seq_clatworthy.

1	summary_seq_clatworthy(D, J, K, summary = T)

`D`	The number of treatments. If specified, must be a single `numeric` integer greater than or equal to two. Defaults to missing, which means no subsetting of the available designs is performed based on the number of treatments.
`J`	The number of periods. If specified, must be a `numeric` vector, containing integer values greater than or equal to two. Defaults to missing, which means no subsetting of the available designs is performed based on the number of periods.
`K`	The number of sequences. If specified, must be a `numeric` vector, containing integer values greater than or equal to two. Defaults to missing, which means no subsetting of the available designs is performed based on the number of sequences.
`summary`	A `logical` variable indicating whether a summary of the function's progress should be printed to the console. Defaults to `T`.

summary_seq_clatworthy() supports the determination of which designs are available from seq_clatworthy. Precisely, values for the number of treatments (see D), periods (see J), and sequences (see K) desired in the design is specified. Then, the function returns which compatible designs are supported by seq_clatworthy.

A tibble containing the available designs from seq_clatworthy_williams for the chosen values of D, J, and K.

Clatworthy WH, Cameron JM, Speckman JA (1973) Tables of two-associate-class partially balanced designs. US Government Printing Office.

summary_seq_clatworthy.

# Available designs for six treatments from Clatworthy (1973)
clatworthy_D6     <- summary_seq_clatworthy(D = 6)
# Available designs for six treatments and three periods
clatworthy_D6J3   <- summary_seq_clatworthy(D = 6, J = 3)
# Available designs for six treatments, three periods, and eight sequences
clatworthy_D6J3K8 <- summary_seq_clatworthy(D = 6, J = 3, K = 8)
# Returning in tibble form