clusterBootstrap: Use bootstrap to find the best number of clusters
In introstat/ePort: Electronic Reporting of Academic Learning and Performance
Description
Usage
Arguments
Value
Author(s)
Description
Results of the function clusterCriteria for bootstrap samples
Usage
1
2
clusterBootstrap(dat, nt, nboot = 100, l = 9, seed = 201311,
txtbar = TRUE)
Arguments
dat
Data frame, same format as function cl
nt
Number of topics
nboot
Number of bootstrap samples
l
Number of clusters
seed
Random seed
txtbar
Whether or not the text progress bar is turned on
Value
Data frame of the criteria values for nboot samples
Author(s)
Xiaoyue Cheng <xycheng@iastate.edu>
introstat/ePort documentation built on May 18, 2019, 5:47 a.m.
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Description Usage Arguments Value Author(s)
Description
Results of the function clusterCriteria for bootstrap samples
Usage
1 2 | clusterBootstrap(dat, nt, nboot = 100, l = 9, seed = 201311,
txtbar = TRUE)
|
Arguments
dat |
Data frame, same format as function |
nt |
Number of topics |
nboot |
Number of bootstrap samples |
l |
Number of clusters |
seed |
Random seed |
txtbar |
Whether or not the text progress bar is turned on |
Value
Data frame of the criteria values for nboot samples
Author(s)
Xiaoyue Cheng <xycheng@iastate.edu>
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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