## Usage

get_dist(x, method = "euclidean", stand = FALSE, ...)

fviz_dist(dist.obj, order = TRUE, show_labels = TRUE, lab_size = NULL, gradient = list(low = "red", mid = "white", high = "blue"))

## Arguments

x

a numeric matrix or a data frame.

method

the distance measure to be used. This must be one of
"euclidean", "maximum", "manhattan", "canberra", "binary", "minkowski",
"pearson", "spearman" or "kendall".

stand

logical value; default is FALSE. If TRUE, then the data will be
standardized using the function scale(). Measurements are standardized for
each variable (column), by subtracting the variable's mean value and
dividing by the variable's standard deviation.

...

other arguments to be passed to the function dist().

dist.obj

an object of class "dist" as generated by the function dist() or get_dist().

order

logical value. if TRUE the ordered dissimilarity image (ODI) is shown.

show_labels

logical value. If TRUE, the labels are displayed.

lab_size

the size of labels.

gradient

a list containing three elements specifying the colors for low, mid and high values in
the ordered dissimilarity image. The element "mid" can take the value of NULL.