| clumerge {clugenr} | R Documentation |
Merges the fields (specified in fields) of two or more data sets
Description
Merges the fields (specified in fields) of two or more data sets (passed as
lists). The fields to be merged need to have the same number of columns. The
corresponding merged field will contain the rows of the fields to be merged,
and will have a common "supertype".
Usage
clumerge(..., fields = c("points", "clusters"), clusters_field = "clusters")
Arguments
... |
One or more cluster data sets (in the form of lists) whose
|
fields |
Fields to be merged, which must exist in the data sets given in
|
clusters_field |
Field containing the integer cluster labels. If specified, cluster assignments in individual datasets will be updated in the merged dataset so that clusters are considered separate. |
Details
The clusters_field parameter specifies a field containing integers that
identify the cluster to which the respective points belongs to. If
clusters_field is specified (by default it's specified as "clusters"),
cluster assignments in individual datasets will be updated in the merged
dataset so that clusters are considered separate. This parameter can be set
to NA, in which case no field will be considered as a special cluster
assignments field.
This function can be used to merge data sets generated with the clugen
function, by default merging the points and clusters fields in those data
sets. It also works with arbitrary data by specifying alternative fields in
the fields parameter. It can be used, for example, to merge third-party
data with clugen-generated data.
Value
A list whose fields consist of the merged fields in the original data sets.
Examples
a <- clugen(2, 5, 100, c(1, 3), 0.5, c(10, 10), 8, 1.5, 2)
b <- clugen(2, 3, 250, c(-1, 3), 0.5, c(13, 14), 7, 1, 2)
ab <- clumerge(a, b)