Description Usage Format Examples
These data objects correspond to steps in a typical work flow, as
described in the vignette to this package. fit
corresponds to
dmn
fits to different values of k
. bestgroup
is
the result of the two-group generative classifier. xval
summarizes leave-one-out cross validation of the classifier.
1 2 3 |
fit
is a list of seven DMN
objects.
bestgrp
is a DMNGroup
object.
xval
is a data.frame
with columns corresponding to the
cross-validation group membership and the Lean and Obese posterior
probabilities.
1 2 3 4 |
Loading required package: S4Vectors
Loading required package: stats4
Loading required package: BiocGenerics
Loading required package: parallel
Attaching package: ‘BiocGenerics’
The following objects are masked from ‘package:parallel’:
clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
clusterExport, clusterMap, parApply, parCapply, parLapply,
parLapplyLB, parRapply, parSapply, parSapplyLB
The following objects are masked from ‘package:stats’:
IQR, mad, sd, var, xtabs
The following objects are masked from ‘package:base’:
anyDuplicated, append, as.data.frame, basename, cbind, colnames,
dirname, do.call, duplicated, eval, evalq, Filter, Find, get, grep,
grepl, intersect, is.unsorted, lapply, Map, mapply, match, mget,
order, paste, pmax, pmax.int, pmin, pmin.int, Position, rank,
rbind, Reduce, rownames, sapply, setdiff, sort, table, tapply,
union, unique, unsplit, which.max, which.min
Attaching package: ‘S4Vectors’
The following object is masked from ‘package:base’:
expand.grid
Loading required package: IRanges
[[1]]
class: DMN
k: 1
samples x taxa: 278 x 130
Laplace: 39227.36 BIC: 39527.91 AIC: 39292.11
[[2]]
class: DMN
k: 2
samples x taxa: 278 x 130
Laplace: 38872.68 BIC: 39588.93 AIC: 39115.53
class: DMNGroup
summary:
k samples taxa NLE LogDet Laplace BIC AIC
Lean 1 61 130 9065.657 162.3513 9027.371 9332.864 9195.657
Obese 3 193 130 26769.931 407.4130 26613.414 27801.418 27161.931
group Lean Obese
TS119.2 1 0.0001132595 0.9998867
TS5 2 0.0047642534 0.9952357
TS72 3 0.6170744622 0.3829255
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