DPPC: Distributed projection principal component
In LFM: Laplace Factor Model Analysis and Evaluation
DPPC R Documentation
Distributed projection principal component
Description
Distributed projection principal component
Usage
DPPC(data, m, n1, K)
Arguments
data
is a total data set
m
is the number of principal component
n1
is the length of each data subset
K
is the number of nodes
Value
Apro,pro,Sigmahathatpro
Examples
library(LFM)
data_from_package <- Wine
data_a <- Wine
DPPC(data_a,m=3,n1=128,K=2)
LFM documentation built on Dec. 6, 2025, 5:06 p.m.
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.
| DPPC | R Documentation |
Distributed projection principal component
Description
Distributed projection principal component
Usage
DPPC(data, m, n1, K)
Arguments
data |
is a total data set |
m |
is the number of principal component |
n1 |
is the length of each data subset |
K |
is the number of nodes |
Value
Apro,pro,Sigmahathatpro
Examples
library(LFM)
data_from_package <- Wine
data_a <- Wine
DPPC(data_a,m=3,n1=128,K=2)
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.