Description Usage Arguments Value Note See Also Examples
This procedure plots a matrix of histograms. Each column pertains to one of the selected attributes. The first row shows the distribution for those objects within the specified group. The second row plots the corresponding distribution for those objects not in the specified group. Optionally (all= TRUE
), a third row of histograms is produced showing the distribution of the corresponding attribute over all of the data. In all histograms, only nonmissing values of the respective attributes are plotted.
1 2 3 4 5 6 7 8 9 10 11 12 |
X |
input data. Either a data.frame or a matrix in mode numeric. Rows are objects and columns are attributes (variables). |
group |
vector of identities of objects in the group. |
atts |
vector of identities of selected attributes. |
lX |
vector of attribute flags (see |
att.names |
vector of names for each attribute. |
group.name |
name for selected group (cluster). |
xmiss |
missing value flag (see |
nbins |
(approXimate) number of histogram bins. |
targ |
target values for computing targeted dissimilarities. The
|
all |
|
... STILL NEEDS A DESCRIPTION ...
The lX
vector and/or the value of xmiss
can be specified as attributes to the input data matrix before invoking attimp (see cosa2
).
hclust
, getclust
, and attvalues
.
1 2 3 4 | # acquire object at from the attimp function?
# attvalues(X, group[[2]], at$att[1:5])
# attvalues(X, group[[2]], at$att[6:10], all=T)
# attvalues(X, group[[4]], 44, att.names = 'Att 44', group.name = 'Group 4')
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.