An Automated Cleaning Tool for Semantic and Linguistic Data


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Documentation for package ‘SemNetCleaner’ version 0.9.9

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SemNetCleaner-package SemNetCleaner-package
add.let Add Letter
animals Animals Verbal Fluency
animals.database Animals Database
animals.misnomer Animals Misnomer Database
autoConverge Autmated Converge Responses
autoDestr Automated De-string of Responses
best.guess Best guess function
bin2resp Binary Responses to Character Responses
chn.let Change Letter
converge Converge Responses
convmat Converged trial data of verbal fluency responses
destr De-string Responses
equate Equate Group Responses
finalize Finalize Response Matrix
misnomer Misnomer Fucntion
miss.let Missing Letter
normalize Max-min normalization
rmat Cleaned trial data of verbal fluency responses
SemNetCleaner SemNetCleaner-package
singularize Singularize Function
spell.check.database Spelling-check for Dababases
spell.opt Spelling Option
splitstr.check Split String Check
textcleaner Text Cleaner
trial Trial data of verbal fluency responses