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createAssoStrengthTable.R
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createAssoStrengthTable.R
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# Description:
#
# Generate a cue x response table with strengths
#
# Note: the data included with this script cannot be distributed without prior consent
# Author: Simon De Deyne simon2d@gmail.com
# Last changed: 13 June 2019
library('stringr')
library('tidyverse')
library('igraph')
library('Matrix')
source('settings.R')
source('./R/functions/importDataFunctions.R')
outputR1.file = './output/strength.SWOW-EN.R1.csv'
outputR123.file = './output/strength.SWOW-EN.R123.csv'
# Import the dataset for R1
dataFile = './data/processed/SWOW-EN.R100.csv'
response = 'R1' # Options: R1, R2, R3 or R123
X.R1 = importDataSWOW(dataFile,response)
strength.R1 = X.R1 %>% filter(!is.na(response)) %>% group_by(cue,response) %>%
summarise(R1 = n()) %>% select(cue,response,R1)
total.R1 = strength.R1 %>% group_by(cue) %>% summarise(N = sum(R1))
strength.R1 = left_join(strength.R1,total.R1)
strength.R1 = strength.R1 %>% mutate(R1.Strength = R1 / N)
strength.R1 = strength.R1 %>% arrange(cue,-R1.Strength)
# Write cue - asso strength R1
write.table(strength.R1,outputR1.file,row.names = FALSE,sep = '\t',quote = FALSE)
# Import the dataset for R123
response = 'R123'
X.R123 = importDataSWOW(dataFile,response)
strength.R123 = X.R123 %>% filter(!is.na(response)) %>% group_by(cue,response) %>%
summarise(R123 = n()) %>% select(cue,response,R123)
total.R123 = strength.R123 %>% group_by(cue) %>% summarise(N = sum(R123))
strength.R123 = left_join(strength.R123,total.R123)
strength.R123 = strength.R123 %>% mutate(R123.Strength = R123 / N)
strength.R123 = strength.R123 %>% arrange(cue,-R123.Strength)
# Write cue - asso strength R1
write.table(strength.R123,outputR123.file,row.names = FALSE, sep = '\t', quote = FALSE)