Description Usage Arguments Value Author(s) References Examples
Calculates a goodness of clustering measure based on the average dispersion compared to a reference distribution.
1 |
data |
The data matrix, with samples (observations) in rows and genes (variables)in columns |
class |
a vector descibing the cluster memberships of the rows of data |
B |
the number of bootstrap samples |
cluster.func |
a function taking the arguments |
The GAP statistic and the standard deviation
Per Broberg
Tishirani, R., Walther, G. and Hastie, T. (2000) Estimating the number of clusters in a dataset via the Gap statistic. Technical Report Stanford
1 2 3 4 |
Loading required package: multtest
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':
Filter, Find, Map, Position, Reduce, anyDuplicated, append,
as.data.frame, basename, cbind, colMeans, colSums, colnames,
dirname, do.call, duplicated, eval, evalq, get, grep, grepl,
intersect, is.unsorted, lapply, lengths, mapply, match, mget,
order, paste, pmax, pmax.int, pmin, pmin.int, rank, rbind,
rowMeans, rowSums, rownames, sapply, setdiff, sort, table, tapply,
union, unique, unsplit, which, which.max, which.min
Loading required package: Biobase
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Gap statistic one SE of simulation
0.50945786 0.09935434
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