Description Usage Arguments Details Value Author(s) See Also Examples
Use PAMR algorithm and bootstrapping to derive a robust feature set.
1 |
logX |
The data matrix. |
groupings |
The grouping variable. |
DIR |
The output base directory. |
params |
A parameter list with the following elements: |
Usually called from doBS
.
The result list of the bootstrapping, which is a list: For each classification instance in groupings
, one element is saved, each a list with bstr
elements, from which each again is a list holding the following elements:
histtr |
training object generated with pamr.train. |
histcv |
cv object generated with pamr.cv |
tmin |
Minimal threshold value for the feature selection. |
selected |
Indices of selected features at |
selected_names |
Names of selected features at |
To get to one bootstrapping element, one could use for example: returnobject[[1]][[1]][["tmin"]]
to get access to the minimal threshold of the first bootstrapping iteration in the first classification problem.
Christian Bender (christian.bender@tron-mainz.de)
1 2 3 4 | ## Not run:
#todo
## End(Not run)
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