View source: R/DirichletProcessClustering.R
writeStandardFinalOutput | R Documentation |
Function that stores the final output in a unified format on disk
writeStandardFinalOutput(clustering, dataset, most.similar.mut,
outfiles.prefix, outdir, samplename, subsamplenames, GS.data, density,
polygon.data, no.iters, no.iters.burn.in, min_muts_cluster,
min_frac_muts_cluster, assign_sampled_muts = T, write_tree = F,
generate_cluster_ordering = F, no.samples.cluster.order = 1000)
clustering |
A clustering result |
dataset |
The dataset that went into clustering |
most.similar.mut |
Vector containing for each non-sampled mutation its most similar sampled mutation. The non-sampled mutation will be assigned to the same cluster |
outfiles.prefix |
A prefix for the filenames |
outdir |
Output directory where the replot of the 1D method is to be stored if clusters are removed due to being too small |
samplename |
Overall samplename |
subsamplenames |
Samplenames of the different timepoints |
GS.data |
MCMC output |
density |
Posterior density estimate across MCMC iterations |
polygon.data |
1D confidence interval, used for plotting the 1D method (set to NA for multi-D method) |
no.iters |
Number of total iterations |
no.iters.burn.in |
Number of iterations to be used as burn-in |
min_muts_cluster |
The minimum number of mutations required for a cluster to be kept in the final output |
min_frac_muts_cluster |
The minimum fraction of mutations required for a cluster to be kept in the final |
assign_sampled_muts |
Boolean whether to assign the non-sampled mutations (Default: TRUE) |
write_tree |
Boolean whether to write a tree to file. Not all clustering methods return a tree (Default: FALSE) |
generate_cluster_ordering |
Boolean specifying whether a possible cluster ordering should be determined (Default: FALSE) |
no.samples.cluster.order |
Number of mutations to sample (with replacement) to classify pairs of clusters into parent-offspring or siblings (Default: 1000) |
sd11
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