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05_analysis.R
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library(visreg)
library(lme4)
dat <- read.csv('dists_long_format.csv')
# remove reference
dat <- dat[dat$subject_id != "Reference",]
# check structure of the data.frame
str(dat)
dat$subject_id <- as.factor(dat$subject_id)
dat$label <- as.factor(dat$label)
dat$condition <- as.factor(dat$condition)
dat$group <- as.factor(dat$group)
dat$feature <- as.factor(dat$feature)
dat$dist.type <- as.factor(dat$dist.type)
# re-check structure of the data.frame
str(dat)
FEATURE = "mfcc_edd"
DIST_TYPE = "AVG"
cat("===========================================\n")
cat(paste("feature: ", FEATURE, "dist type: ", DIST_TYPE, "\n"))
cat("===========================================\n")
dat_mfcc_avg <- dat[dat$feature == FEATURE & dat$dist.type == DIST_TYPE,]
lme0 <- lmer(dist ~ 1 + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
lme1.1 <- lmer(dist ~ condition + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
lme1.2 <- lmer(dist ~ group + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
lme2 <- lmer(dist ~ condition + group + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
lme3 <- lmer(dist ~ condition * group + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
anova(lme0, lme1.1, lme2, lme3)
anova(lme0, lme1.2, lme2, lme3)
summary(lme1.1) # conditionSlovak (l3) -0.09068
summary(lme3)
FEATURE = "wave2vec2"
DIST_TYPE = "AVG"
cat("===========================================\n")
cat(paste("feature: ", FEATURE, "dist type: ", DIST_TYPE, "\n"))
cat("===========================================\n")
dat_mfcc_avg <- dat[dat$feature == FEATURE & dat$dist.type == DIST_TYPE,]
lme0 <- lmer(dist ~ 1 + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
lme1.1 <- lmer(dist ~ condition + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
lme1.2 <- lmer(dist ~ group + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
lme2 <- lmer(dist ~ condition + group + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
lme3 <- lmer(dist ~ condition * group + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
anova(lme0, lme1.1, lme2, lme3)
anova(lme0, lme1.2, lme2, lme3)
summary(lme1.1) # conditionSlovak (l3) 0.08805
FEATURE = "mfcc_edd"
DIST_TYPE = "DTW"
cat("===========================================\n")
cat(paste("feature: ", FEATURE, "dist type: ", DIST_TYPE, "\n"))
cat("===========================================\n")
dat_mfcc_avg <- dat[dat$feature == FEATURE & dat$dist.type == DIST_TYPE,]
lme0 <- lmer(dist ~ 1 + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
lme1.1 <- lmer(dist ~ condition + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
lme1.2 <- lmer(dist ~ group + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
lme2 <- lmer(dist ~ condition + group + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
lme3 <- lmer(dist ~ condition * group + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
anova(lme0, lme1.1, lme2, lme3)
anova(lme0, lme1.2, lme2, lme3)
summary(lme1.1) # conditionSlovak (l3) -0.08166
FEATURE = "wave2vec2"
DIST_TYPE = "DTW"
cat("===========================================\n")
cat(paste("feature: ", FEATURE, "dist type: ", DIST_TYPE, "\n"))
cat("===========================================\n")
dat_mfcc_avg <- dat[dat$feature == FEATURE & dat$dist.type == DIST_TYPE,]
lme0 <- lmer(dist ~ 1 + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
lme1.1 <- lmer(dist ~ condition + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
lme1.2 <- lmer(dist ~ group + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
lme2 <- lmer(dist ~ condition + group + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
lme3 <- lmer(dist ~ condition * group + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
anova(lme0, lme1.1, lme2, lme3)
anova(lme0, lme1.2, lme2, lme3)
summary(lme1.1) # conditionSlovak (l3) 0.09050
FEATURE = "mfcc_edd"
DIST_TYPE = "AVG"
cat("===========================================\n")
cat("WARNING: WITHOUT random intercept\n")
cat(paste("feature: ", FEATURE, "dist type: ", DIST_TYPE, "\n"))
cat("===========================================\n")
dat_mfcc_avg <- dat[dat$feature == FEATURE & dat$dist.type == DIST_TYPE,]
lme0 <- lmer(dist ~ 1 + (1 | label), data=dat_mfcc_avg)
lme1.1 <- lmer(dist ~ condition + (1 | label), data=dat_mfcc_avg)
lme1.2 <- lmer(dist ~ group + (1 | label), data=dat_mfcc_avg)
lme2 <- lmer(dist ~ condition + group + (1 | label), data=dat_mfcc_avg)
lme3 <- lmer(dist ~ condition * group + (1 | label), data=dat_mfcc_avg)
anova(lme0, lme1.1, lme2, lme3)
anova(lme0, lme1.2, lme2, lme3)
summary(lme2)
#Fixed effects:
# Estimate Std. Error t value
#(Intercept) 0.99655 0.03546 28.100
#conditionSlovak (l3) -0.09089 0.03391 -2.680
#groupmultilingual -0.17387 0.03263 -5.329
# WITH norm
FEATURE = "mfcc_edd_ch_norm"
DIST_TYPE = "AVG"
cat("===========================================\n")
cat(paste("feature: ", FEATURE, "dist type: ", DIST_TYPE, "\n"))
cat("===========================================\n")
dat_mfcc_avg <- dat[dat$feature == FEATURE & dat$dist.type == DIST_TYPE,]
lme0 <- lmer(dist ~ 1 + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
lme1.1 <- lmer(dist ~ condition + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
lme1.2 <- lmer(dist ~ group + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
lme2 <- lmer(dist ~ condition + group + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
lme3 <- lmer(dist ~ condition * group + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
anova(lme0, lme1.1, lme2, lme3)
anova(lme0, lme1.2, lme2, lme3)
summary(lme3) # p < 0.01
# Fixed effects:
# Estimate Std. Error t value
# (Intercept) 1.10185 0.11045 9.976
# conditionSlovak (l3) -0.04533 0.06109 -0.742
# groupmultilingual -0.14872 0.12374 -1.202
# conditionSlovak (l3):groupmultilingual 0.08011 0.02958 2.708
FEATURE = "mfcc_edd_ch_norm"
DIST_TYPE = "DTW"
cat("===========================================\n")
cat(paste("feature: ", FEATURE, "dist type: ", DIST_TYPE, "\n"))
cat("===========================================\n")
dat_mfcc_avg <- dat[dat$feature == FEATURE & dat$dist.type == DIST_TYPE,]
lme0 <- lmer(dist ~ 1 + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
lme1.1 <- lmer(dist ~ condition + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
lme1.2 <- lmer(dist ~ group + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
lme2 <- lmer(dist ~ condition + group + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
lme3 <- lmer(dist ~ condition * group + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
anova(lme0, lme1.1, lme2, lme3)
anova(lme0, lme1.2, lme2, lme3)
summary(lme1.1) # p < 0.01 conditionSlovak (l3) -0.10581
FEATURE = "wave2vec2_ch_norm"
DIST_TYPE = "AVG"
cat("===========================================\n")
cat(paste("feature: ", FEATURE, "dist type: ", DIST_TYPE, "\n"))
cat("===========================================\n")
dat_mfcc_avg <- dat[dat$feature == FEATURE & dat$dist.type == DIST_TYPE,]
lme0 <- lmer(dist ~ 1 + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
lme1.1 <- lmer(dist ~ condition + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
lme1.2 <- lmer(dist ~ group + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
lme2 <- lmer(dist ~ condition + group + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
lme3 <- lmer(dist ~ condition * group + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
anova(lme0, lme1.1, lme2, lme3)
anova(lme0, lme1.2, lme2, lme3)
summary(lme1.1) # p < 0.001 conditionSlovak (l3) 0.08714
FEATURE = "wave2vec2_ch_norm"
DIST_TYPE = "DTW"
cat("===========================================\n")
cat(paste("feature: ", FEATURE, "dist type: ", DIST_TYPE, "\n"))
cat("===========================================\n")
dat_mfcc_avg <- dat[dat$feature == FEATURE & dat$dist.type == DIST_TYPE,]
lme0 <- lmer(dist ~ 1 + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
lme1.1 <- lmer(dist ~ condition + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
lme1.2 <- lmer(dist ~ group + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
lme2 <- lmer(dist ~ condition + group + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
lme3 <- lmer(dist ~ condition * group + (1 | subject_id) + (1 | label), data=dat_mfcc_avg)
anova(lme0, lme1.1, lme2, lme3)
anova(lme0, lme1.2, lme2, lme3)
summary(lme1.1) # p < 0.001 conditionSlovak (l3) 0.07106