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| R2012a Documentation → Statistics Toolbox | |
Learn more about Statistics Toolbox |
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andrewsplot(X)
andrewsplot(X,...,'Standardize',standopt)
andrewsplot(X,...,'Quantile',alpha)
andrewsplot(X,...,'Group',group)
andrewsplot(X,...,'PropName',PropVal,...)
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 i th observation in X as
andrewsplot treats NaN values in X as missing values and ignores the corresponding rows.
andrewsplot(X,...,'Standardize',standopt) creates an Andrews plot where 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 princomp.)
'PCAStd' — creates an Andrews plot using the standardized principal component scores. (See princomp.)
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, or cell array of strings containing a group name for each observation. (See Grouped Data.)
andrewsplot(X,...,'PropName',PropVal,...) sets optional lineseries object properties to the specified values for all lineseries objects created by andrewsplot. (See Lineseries Properties.)
h = andrewsplot(X,...) returns a column vector of handles to the lineseries 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 lineseries objects created. If you use both the 'Quantile' and the 'Group' input parameters, h contains three handles for each group.
Make a grouped plot of the Fisher iris data:
load fisheriris andrewsplot(meas,'group',species)
Plot only the median and quartiles of each group:
andrewsplot(meas,'group',species,'quantile',.25)
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