Andrews plot
andrewsplot(X)
andrewsplot(X,...,'Standardize',standopt
)
andrewsplot(X,...,'Quantile',alpha)
andrewsplot(X,...,'Group',group)
andrewsplot(X,...,'PropName'
,PropVal
,...)
andrewsplot(ax,X,...)
h = andrewsplot(X,...)
andrewsplot(X)
creates an Andrews plot
of the multivariate data in the matrix X
. The rows
of X
correspond to observations, the columns to
variables. Andrews plots represent each observation by a function f(t)
of a continuous dummy variable t over the interval
[0,1]. f(t) is defined for the ith
observation in X
as
andrewsplot
treats NaN
values
in X
as missing values and ignores the corresponding
rows.
andrewsplot(X,...,'Standardize',
creates
an Andrews plot where standopt
)standopt
is one of
the following:
'on'
— scales each column
of X
to have mean 0
and standard
deviation 1
before making the plot.
'PCA'
— creates an Andrews
plot from the principal component scores of X
,
in order of decreasing eigenvalue. (See pca
.)
'PCAStd'
— creates an Andrews
plot using the standardized principal component scores. (See pca
.)
andrewsplot(X,...,'Quantile',alpha)
plots
only the median and the alpha
and (1 – alpha
)
quantiles of f(t) at each value
of t. This is useful if X
contains
many observations.
andrewsplot(X,...,'Group',group)
plots the data in different groups with
different colors. Groups are defined by group
, a numeric array
containing a group index for each observation. group
can also be a
categorical array, character matrix, string array, or cell array of character vectors
containing a group name for each observation.
andrewsplot(X,...,
sets optional 'PropName'
,PropVal
,...)Line
object properties to the
specified values for all Line
objects created
by andrewsplot
. (See Line Properties.)
andrewsplot(ax,X,...)
uses the plot axes
specified in ax
, an Axes
object. (See axes
.)
Specify ax
as the first input argument
followed by any of the input argument combinations in the
previous syntaxes.
h = andrewsplot(X,...)
returns a column vector of handles to the
Line
objects created by
andrewsplot
, one handle per row
of X
. If you use the
'Quantile'
input parameter,
h
contains one handle for each of
the three Line
objects created. If you use
both the 'Quantile'
and the
'Group'
input parameters,
h
contains three handles for each
group.