distance.cluster: euclidian clustering function
In jtlandis/justinmisc: Justin's Misc
Description
Usage
Arguments
Value
Description
reorder factors passed to y.by.x via their respective
clusters
Usage
1
2
distance.cluster(df, formula, value.var, which.clust = "both",
fun.aggregate = mean)
Arguments
df
data frame passed containing both factor columns to reorder
and numeric column to cluster by
value.var
Character column name by which clustering will be
calculated
y.by.x
Index of the columns or character column
names to reorder
which.clut
Defines which column is reordered. Default set to both.
Set to "y" to only reorder y.by.x[1], set to "x" to only reorder y.by.x[2]
Value
returns df but with reordered factors
jtlandis/justinmisc documentation built on May 25, 2019, 8:18 a.m.
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Description Usage Arguments Value
Description
reorder factors passed to y.by.x via their respective clusters
Usage
1 2 | distance.cluster(df, formula, value.var, which.clust = "both",
fun.aggregate = mean)
|
Arguments
df |
data frame passed containing both factor columns to reorder and numeric column to cluster by |
value.var |
Character column name by which clustering will be calculated |
y.by.x |
Index of the columns or character column names to reorder |
which.clut |
Defines which column is reordered. Default set to both. Set to "y" to only reorder y.by.x[1], set to "x" to only reorder y.by.x[2] |
Value
returns df but with reordered factors
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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