| dist {mva} | R Documentation |
This function computes and returns the distance matrix computed by using the specified distance measure to compute the distances between the rows of a data matrix.
dist(x, method = "euclidean", diag = FALSE, upper = FALSE) print.dist(x, diag = NULL, upper = NULL, ...) as.matrix.dist(x) as.dist(m, diag = NULL, upper = NULL)
x |
A matrix or (data frame). Distances between the rows of
x will be computed. |
method |
The distance measure to be used. This must be one of
"euclidean", "maximum", "manhattan",
"canberra" or "binary".
Any unambiguous substring can be given. |
diag |
A logical value indicating whether the diagonal of the
distance matrix should be printed by print.dist. |
upper |
A logical value indicating whether the upper triangle of the
distance matrix should be printed by print.dist. |
m |
A matrix of distances to be converted to a "dist"
object (only the lower triangle is used, the rest is ignored). |
... |
further arguments, passed to the (next) print method. |
Available distance measures are (written for two vectors x and y):
euclidean:maximum:manhattan:canberra:binary:
Missing values are allowed, and are excluded from all computations
involving the rows within which they occur. If some columns are
excluded in calculating a Euclidean, Manhattan or Canberra distance,
the sum is scaled up proportionally to the number of columns used.
If all pairs are excluded when calculating a particular distance,
the value is NA.
The functions as.matrix.dist() and as.dist() can be used
for conversion between objects of class "dist" and conventional
distance matrices and vice versa.
An object of class "dist".
The lower triangle of the distance matrix stored by columns in a
single vector. The vector has the attributes "Size",
"Diag", "Upper", "Labels" and "class" equal
to "dist".
Mardia, K. V., Kent, J. T. and Bibby, J. M. (1979) Multivariate Analysis. London: Academic Press.
x <- matrix(rnorm(100), nrow=5) dist(x) dist(x, diag = TRUE) dist(x, upper = TRUE) m <- as.matrix(dist(x)) d <- as.dist(m) print(d, digits = 3) ## example of binary and canberra distances. x <- c(0, 0, 1, 1, 1, 1) y <- c(1, 0, 1, 1, 0, 1) dist(rbind(x,y), method="binary") ## answer 0.4 = 2/5 dist(rbind(x,y), method="canberra") ## answer 2 * (6/5)