Sample Cluster Stability Sankey Data

Generates a synthetic dataset with one row per patient and columns C2–C9 holding letter-labelled cluster assignments at successive values of K (number of clusters). The hierarchical merge structure follows the pattern from the HVTI PAM clustering analysis:

Usage

sample_cluster_sankey_data(
  n = 300L,
  probs = c(B = 0.18, F = 0.12, H = 0.06, D = 0.12, I = 0.04, C = 0.14, E = 0.11, G =
    0.08, A = 0.15),
  seed = 42L
)

Arguments

n

Number of patients. Default 300.

probs

Named numeric vector of C9-level cluster probabilities (must sum to 1), in the order c(B, F, H, D, I, C, E, G, A). Default uses approximate equal-area proportions.

seed

Random seed. Default 42L.

Value

A data frame with n rows and columns C2–C9, each a factor ordered by the hierarchical cluster labels.

Details

C9 label	C2	C3	C4	C5	C6	C7	C8	C9
A	A	A	A	A	A	A	A	A
B	B	B	B	B	B	B	B	B
C	A	C	C	C	C	C	C	C
D	B	B	D	D	D	D	D	D
E	A	C	C	E	E	E	E	E
F	B	B	B	B	F	F	F	F
G	A	A	A	A	A	G	G	G
H	B	B	B	B	F	F	H	H
I	B	B	D	D	D	D	D	I

See also

hv_sankey()

Examples

dta <- sample_cluster_sankey_data(n = 200, seed = 42)
head(dta)
#>   C2 C3 C4 C5 C6 C7 C8 C9
#> 1  B  B  B  B  F  F  H  H
#> 2  B  B  B  B  F  F  H  H
#> 3  A  A  A  A  A  A  A  A
#> 4  A  A  A  A  A  G  G  G
#> 5  B  B  D  D  D  D  D  D
#> 6  B  B  B  B  F  F  F  F
table(dta$C9)
#> 
#>  B  F  H  D  I  C  E  G  A 
#> 35 21 19 23  7 26 32 12 25