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Determine whether entries in a vector (or rows in a matrix or data frame) are duplicated, choose a unique representative for each set of duplicates, and map the duplicates to the unique representative.
# S3 method for default
uniquemap(x)# S3 method for data.frame
uniquemap(x)
# S3 method for matrix
uniquemap(x)
An integer vector.
A vector, data frame or matrix, or another type of data.
Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Rolf Turner rolfturner@posteo.net and Ege Rubak rubak@math.aau.dk.
The function uniquemap is generic, with methods
for point patterns, data frames, and a default method.
The default method expects a vector. It determines whether any entries
of the vector x are duplicated,
and constructs a mapping of the indices of x
so that all duplicates are mapped to a unique representative index.
The result is an integer vector u such that
u[j] = i if
the entries x[i] and x[j] are identical and
point i has been chosen as the unique representative.
The entry u[i] = i means either that point i is
unique, or that it has been chosen as the unique representative
of its equivalence class.
The method for data.frame determines whether any rows of the
data frame x are duplicated, and constructs a mapping of the
row indices so that all duplicate rows are mapped to a unique
representative row.
uniquemap,
uniquemap.ppp
x <- c(3, 5, 2, 4, 2, 3)
uniquemap(x)
df <- data.frame(A=x, B=42)
uniquemap(df)
z <- cbind(x, 10-x)
uniquemap(z)
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