nb_dist: Calculate distance (external wrapper for internal C++...
In netboost: Network Analysis Supported by Boosting

Description Usage Arguments Value Examples

Calculate distance (external wrapper for internal C++ function) Parallelisation inside C++ program with RcppParallel.

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nb_dist(filter, datan, soft_power = 2, cores = getOption("mc.cores",
  2L), verbose = getOption("verbose"), method = c("pearson", "kendall",
  "spearman"))

`filter`	Filter-Matrix as generated by the nb_filter function.
`datan`	Data frame were rows correspond to samples and columns to features.
`soft_power`	Integer. Exponent of the transformation. Set automatically based on the scale free topology criterion if unspecified.
`cores`	Integer. Amount of CPU cores used (<=1 : sequential).
`verbose`	Additional diagnostic messages.
`method`	A character string specifying the method to be used for correlation coefficients.

Vector with distances.

 data('tcga_aml_meth_rna_chr18', package='netboost')
 cores <- as.integer(getOption('mc.cores', 2))
 datan <- as.data.frame(scale(tcga_aml_meth_rna_chr18, center=TRUE,
 scale=TRUE))
 filter <- nb_filter(datan=datan, stepno=20L, until=0L, progress=1000L,
 cores=cores,mode=2L)
 dist <- nb_dist(datan=datan, filter=filter, soft_power=3L, cores=cores)
 summary(dist)