semnetboot: Partial Bootstrapped Semantic Network Analysis

Description Usage Arguments Value Author(s)

Description

Bootstraps (without replacement) the nodes in the network and computes global network characteristics

Usage

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semnetboot(data, nodes, iter = 1000, corr = c("cor", "cosine"), cores,
  seeds = NULL)

Arguments

data

Cleaned response matrix

nodes

Number of nodes for partial bootstrap. Defaults to half

iter

Number of iterations in bootstrap. Defaults to 1000

corr

Association method to use. Defaults to "cosine"

cores

Number of computer processing cores to use for bootstrapping samples. Defaults to n - 1 total number of cores. Set to any number between 1 and maxmimum amount of cores on your computer

seeds

Seeds used in previous run. Defaults to NULL. Input a vector from previous run to replicate analyses

Value

Returns a list that includes the original semantic network measures (origmeas; ASPL, CC, Q, S), the bootstrapped semantic network measures (bootmeas), and Seeds that can be used to replicate analysis

Author(s)

Alexander Christensen <[email protected]>


AlexChristensen/SemNetToolbox documentation built on Aug. 7, 2018, 6:02 p.m.