1 Abstract

2 Introduction

3 Results

3.1 Experiment 1:

3.1.1 Behavioral results

3.1.1.1 Encoding strength

Experiment 1: Behavioural performance

Figure 3.1: Experiment 1: Behavioural performance

  Accuracy Accuracy Accuracy Accuracy
Predictors Odds Ratios CI p Odds Ratios CI p Odds Ratios CI p Odds Ratios CI p
(Intercept) 1.29 1.00 – 1.66 0.053 1.39 1.06 – 1.82 0.016 0.05 0.03 – 0.11 <0.001 0.02 0.01 – 0.05 <0.001
Hierarchy [Recent] 0.86 0.74 – 1.00 0.045 0.55 0.46 – 0.65 <0.001 4.65 1.97 – 10.96 <0.001
Encoding strength 101.13 40.23 – 254.26 <0.001 315.68 112.33 – 887.16 <0.001
Hierarchy [Recent] ×
Encoding strength 		0.06 0.02 – 0.18 <0.001
Random Effects
σ2 3.29 3.29 3.29 3.29
τ00 1.08 participant 1.08 participant 1.45 participant 1.44 participant
ICC 0.25 0.25 0.31 0.31
N 70 participant 70 participant 70 participant 70 participant
Observations 3360 3360 3360 3360
Marginal R2 / Conditional R2 0.000 / 0.247 0.001 / 0.249 0.100 / 0.375 0.105 / 0.378

Question: With or without scatterplot?

Plotting model predicted interaction between Hierarchy and Encoding strength

Figure 3.2: Plotting model predicted interaction between Hierarchy and Encoding strength

3.1.1.2 Distance

  Accuracy Accuracy Accuracy Accuracy
Predictors Odds Ratios CI p Odds Ratios CI p Odds Ratios CI p Odds Ratios CI p
(Intercept) 0.02 0.01 – 0.05 <0.001 0.01 0.01 – 0.03 <0.001 0.01 0.00 – 0.03 <0.001 0.03 0.00 – 0.28 0.003
Hierarchy [Recent] 4.65 1.97 – 10.96 <0.001 4.67 1.98 – 11.02 <0.001 6.15 1.97 – 19.24 0.002 16.26 0.40 – 663.23 0.140
Encoding strength 315.68 112.33 – 887.16 <0.001 321.91 114.47 – 905.28 <0.001 322.49 114.64 – 907.21 <0.001 106.33 3.75 – 3012.65 0.006
Hierarchy [Recent] ×
Encoding strength 		0.06 0.02 – 0.18 <0.001 0.06 0.02 – 0.18 <0.001 0.06 0.02 – 0.18 <0.001 0.02 0.00 – 2.47 0.112
Distance 1.29 1.10 – 1.51 0.002 1.37 1.09 – 1.72 0.007 0.98 0.37 – 2.62 0.966
Hierarchy [Recent] ×
Distance 		0.89 0.64 – 1.23 0.472 0.59 0.12 – 2.76 0.500
Encoding strength ×
Distance 		1.62 0.41 – 6.37 0.493
(Hierarchy [Recent] ×
Encoding strength) ×
Distance 		1.59 0.21 – 11.92 0.651
Random Effects
σ2 3.29 3.29 3.29 3.29
τ00 1.44 participant 1.45 participant 1.45 participant 1.46 participant
ICC 0.31 0.31 0.31 0.31
N 70 participant 70 participant 70 participant 70 participant
Observations 3360 3360 3360 3360
Marginal R2 / Conditional R2 0.105 / 0.378 0.108 / 0.381 0.108 / 0.381 0.109 / 0.382

3.1.1.3 Jointrank

  Accuracy Accuracy Accuracy Accuracy
Predictors Odds Ratios CI p Odds Ratios CI p Odds Ratios CI p Odds Ratios CI p
(Intercept) 0.02 0.01 – 0.05 <0.001 0.03 0.01 – 0.08 <0.001 0.05 0.02 – 0.18 <0.001 0.05 0.00 – 3.07 0.157
Hierarchy [Recent] 4.65 1.97 – 10.96 <0.001 4.65 1.97 – 10.96 <0.001 1.45 0.31 – 6.86 0.637 5526.47 9.94 – 3073432.49 0.008
Encoding strength 315.68 112.33 – 887.16 <0.001 315.92 112.43 – 887.70 <0.001 318.04 113.09 – 894.40 <0.001 313.78 1.16 – 85123.18 0.044
Hierarchy [Recent] ×
Encoding strength 		0.06 0.02 – 0.18 <0.001 0.06 0.02 – 0.18 <0.001 0.06 0.02 – 0.18 <0.001 0.00 0.00 – 0.01 0.002
Jointrank 0.97 0.89 – 1.07 0.537 0.89 0.78 – 1.02 0.092 0.89 0.50 – 1.57 0.687
Hierarchy [Recent] ×
Jointrank 		1.18 0.98 – 1.42 0.078 0.36 0.15 – 0.89 0.027
Encoding strength ×
Jointrank 		1.00 0.46 – 2.21 0.991
(Hierarchy [Recent] ×
Encoding strength) ×
Jointrank 		4.39 1.38 – 14.02 0.012
Random Effects
σ2 3.29 3.29 3.29 3.29
τ00 1.44 participant 1.44 participant 1.45 participant 1.46 participant
ICC 0.31 0.31 0.31 0.31
N 70 participant 70 participant 70 participant 70 participant
Observations 3360 3360 3360 3360
Marginal R2 / Conditional R2 0.105 / 0.378 0.105 / 0.378 0.106 / 0.379 0.109 / 0.383
Plotting model predicted interaction between Hierarchy, Encoding strength and Jointrank

Figure 3.3: Plotting model predicted interaction between Hierarchy, Encoding strength and Jointrank

3.2 Experiment 2:

3.2.1 Behavioral results

Experiment 2: Behavioural performance

Figure 3.4: Experiment 2: Behavioural performance

3.2.1.1 Encoding strength

  Accuracy Accuracy Accuracy Accuracy
Predictors Odds Ratios CI p Odds Ratios CI p Odds Ratios CI p Odds Ratios CI p
(Intercept) 1.53 1.00 – 2.34 0.049 2.04 1.14 – 3.67 0.017 3.99 1.75 – 9.07 0.001 1.05 0.38 – 2.91 0.932
Group [Wake] 0.56 0.25 – 1.28 0.170 0.57 0.24 – 1.35 0.199 4.98 1.28 – 19.30 0.020
Encoding strength 0.38 0.18 – 0.83 0.015 2.64 0.77 – 8.99 0.121
Group [Wake] × Encoding
strength 		0.04 0.01 – 0.21 <0.001
Random Effects
σ2 3.29 3.29 3.29 3.29
τ00 1.05 participant 0.97 participant 1.10 participant 0.93 participant
ICC 0.24 0.23 0.25 0.22
N 24 participant 24 participant 24 participant 24 participant
Observations 1728 1728 1728 1728
Marginal R2 / Conditional R2 0.000 / 0.241 0.019 / 0.242 0.028 / 0.271 0.050 / 0.258
Plotting model predicted interaction between Hierarchy and Encoding strength

Figure 3.5: Plotting model predicted interaction between Hierarchy and Encoding strength

3.2.1.2 Distance

  Accuracy Accuracy Accuracy Accuracy
Predictors Odds Ratios CI p Odds Ratios CI p Odds Ratios CI p Odds Ratios CI p
(Intercept) 1.05 0.38 – 2.91 0.932 0.96 0.30 – 3.01 0.941 0.47 0.13 – 1.69 0.249 0.12 0.01 – 1.95 0.137
Group [Wake] 4.98 1.28 – 19.30 0.020 4.98 1.28 – 19.29 0.020 18.94 3.42 – 104.79 0.001 11.72 0.30 – 462.62 0.189
Encoding strength 2.64 0.77 – 8.99 0.121 2.64 0.77 – 8.99 0.121 2.65 0.77 – 9.06 0.120 20.57 0.41 – 1037.19 0.131
Group [Wake] × Encoding
strength 		0.04 0.01 – 0.21 <0.001 0.04 0.01 – 0.21 <0.001 0.04 0.01 – 0.21 <0.001 0.08 0.00 – 12.44 0.324
Distance 1.04 0.83 – 1.29 0.736 1.41 1.02 – 1.94 0.039 2.51 0.83 – 7.54 0.102
Group [Wake] × Distance 0.57 0.36 – 0.88 0.011 0.69 0.16 – 3.02 0.627
Encoding strength ×
Distance 		0.41 0.08 – 2.05 0.280
(Group [Wake] × Encoding
strength) × Distance 		0.78 0.10 – 6.23 0.816
Random Effects
σ2 3.29 3.29 3.29 3.29
τ00 0.93 participant 0.93 participant 0.93 participant 0.93 participant
ICC 0.22 0.22 0.22 0.22
N 24 participant 24 participant 24 participant 24 participant
Observations 1728 1728 1728 1728
Marginal R2 / Conditional R2 0.050 / 0.258 0.050 / 0.258 0.054 / 0.263 0.056 / 0.265
Plotting model predicted interaction between Hierarchy and Distance

Figure 3.6: Plotting model predicted interaction between Hierarchy and Distance

3.2.1.3 Jointrank

  Accuracy Accuracy Accuracy Accuracy Accuracy
Predictors Odds Ratios CI p Odds Ratios CI p Odds Ratios CI p Odds Ratios CI p Odds Ratios CI p
(Intercept) 1.05 0.38 – 2.91 0.932 1.36 0.35 – 5.28 0.655 2.50 0.48 – 13.00 0.277 0.00 0.00 – 0.27 0.012 0.00 0.00 – 0.27 0.012
Group [Wake] 4.98 1.28 – 19.30 0.020 4.98 1.29 – 19.30 0.020 1.58 0.17 – 14.75 0.689 415.68 0.92 – 188676.08 0.053 415.68 0.92 – 188676.08 0.053
Encoding strength 2.64 0.77 – 8.99 0.121 2.64 0.77 – 8.99 0.121 2.64 0.77 – 9.02 0.121 93674.98 108.23 – 81079248.72 0.001 93674.98 108.23 – 81079248.72 0.001
Group [Wake] × Encoding
strength 		0.04 0.01 – 0.21 <0.001 0.04 0.01 – 0.21 <0.001 0.04 0.01 – 0.21 <0.001 0.00 0.00 – 0.04 0.008 0.00 0.00 – 0.04 0.008
Jointrank 0.96 0.85 – 1.09 0.560 0.88 0.73 – 1.06 0.187 2.35 1.23 – 4.47 0.009 2.35 1.23 – 4.47 0.009
Group [Wake] × Jointrank 1.18 0.91 – 1.52 0.205 0.53 0.23 – 1.25 0.147 0.53 0.23 – 1.25 0.147
Encoding strength ×
Jointrank 		0.22 0.09 – 0.58 0.002 0.22 0.09 – 0.58 0.002
(Group [Wake] × Encoding
strength) × Jointrank 		3.42 1.02 – 11.48 0.046 3.42 1.02 – 11.48 0.046
Random Effects
σ2 3.29 3.29 3.29 3.29 3.29
τ00 0.93 participant 0.93 participant 0.93 participant 0.96 participant 0.96 participant
ICC 0.22 0.22 0.22 0.23 0.23
N 24 participant 24 participant 24 participant 24 participant 24 participant
Observations 1728 1728 1728 1728 1728
Marginal R2 / Conditional R2 0.050 / 0.258 0.050 / 0.259 0.051 / 0.260 0.060 / 0.272 0.060 / 0.272
Plotting model predicted interaction between Hierarchy, Encoding strength and Jointrank

Figure 3.7: Plotting model predicted interaction between Hierarchy, Encoding strength and Jointrank

4 Discussion

5 Materials and Methods

5.1 Participants

5.2 Procedure

5.2.1 Experiment 1

5.2.2 Experiment 2

5.3 Stimuli

5.4 Statistical analyses

5.5 Behavioral analyses

---
title: "L&M manuscript"
output:
  bookdown::html_document2:
    toc: true
    toc_depth: 4
    fig_caption: true
    table_caption: true
    theme: united
    highlight: tango
    df_print: kable
    code_download: true
    code_folding: show
    code_external: true
    keep_md: true
    keep_tex: true
    citeproc: yes
    lof: yes 
    lot: yes

date: "`r Sys.Date()`"
figurelist: yes
always_allow_html: true
header-includes: 
- \usepackage[nottoc]{tocbibind} 
- \usepackage[utf8]{inputenc}
- \usepackage[T1]{fontenc}
- \DeclareUnicodeCharacter{03C3}{σ}
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE,fig.width=10, fig.height=8, fig.fullwidth=TRUE,echo=FALSE, warning=FALSE, message=FALSE, cache = TRUE)

library(tidyverse)
library(emmeans)
library(ggstatsplot)
library(sjPlot)
library(DT)
require(lme4)
library(report)
library(performance)
library(papaja)
library(ggh4x)
library(sjPlot)

```

# Abstract

# Introduction

-   Relational memory/Latent learning
-   Relational memory/Latent learning in time and sleep-dependent consolidations
-   What are important moderator variables in time and sleep-dependent consolidation as it pertains to generalization [we don't know]
    -   Encoding Strength [Berrens meta] in time and sleep-dependent memory consolidation in general
    -   Study design
-   What are important "quality" measures of latent learning in TI
    -   Distance (duh) Ellenbogen: yes / Gomez: kinda, close but not significant
    -   Jointrank (new) \~ two papers (Kao:Greg Jensen lab)

# Results

## Experiment 1:

### Behavioral results

#### Encoding strength

```{r exp1, include=FALSE}
exp1.facescene <- readRDS("bytrial.exp-wstionline_ver-facescene.rds")
exp1.scenes <- readRDS("bytrial.exp-wstionline_ver-scenes.rds")
exp1.objects1 <- readRDS("bytrial.exp-wstionline_ver-objects.rds")
exp1.objects2 <- readRDS("bytrial.exp-wstionline_ver-objects-shp.rds")

# note to self - fix feedback column in exp1.objects
exp1.combined <- bind_rows(exp1.facescene,exp1.scenes,exp1.objects1,exp1.objects2) %>% mutate(participant_u = paste(participant,expVersion, sep = "_"), cRank= paste0(pmin(Rank1,Rank2),pmax(Rank1,Rank2)), pairType= ifelse(cRank %in% c("12","23","34","45","56"),"premise", ifelse(cRank %in% c("24","25","35"), "inference","anchor"))) %>% filter(!participant_u %in% c("ADPOMZ_objects","AKOXYS_objects_shp") )

# note to self - fix feedback column in exp1.objects
exp1.combined <- bind_rows(exp1.facescene,exp1.scenes,exp1.objects1,exp1.objects2) %>% mutate(participant_u = paste(participant,expVersion, sep = "_"), cRank= paste0(pmin(Rank1,Rank2),pmax(Rank1,Rank2)), pairType= ifelse(cRank %in% c("12","23","34","45","56"),"premise", ifelse(cRank %in% c("24","25","35"), "inference","anchor"))) %>% filter(!participant_u %in% c("ADPOMZ_objects","AKOXYS_objects_shp") )

write.csv(exp1.combined,"ellrep_ws.csv")

glimpse(exp1.combined)

# number of participants
n_distinct(exp1.combined$participant_u)
# experiment structure
DT::datatable(exp1.combined %>% group_by(participant_u, session, part) %>% count())

exp1.combined.imAvg <- exp1.combined %>% filter(part == "immediate testing") %>% group_by(participant_u, hierarchy) %>% summarise(meanPremisePerformance = mean(corr))

exp1.inf <- exp1.combined %>% filter(part == "delayed testing", pairType=="inference") %>% left_join(exp1.combined.imAvg)

grouped_ggwithinstats(
  data             = exp1.combined %>% group_by(participant_u, part, pairType, hierarchy) %>% summarise(meanPerf = mean(corr)) %>% filter(pairType != "anchor", part != "learning") %>% mutate(partXpairType = interaction(part, pairType)),
  x                = hierarchy,
  y                = meanPerf,
  grouping.var     = partXpairType,
  type             = "p",
  bf.message = FALSE,
  results.subtitle = FALSE,
)

```

```{r e1f1, fig.cap = "Experiment 1: Behavioural performance"}

# Create combined box and violin plot with overlap for category 2
data <- exp1.combined %>% group_by(participant_u, part, pairType, hierarchy) %>% summarise(meanPerf = mean(corr)) %>% filter(pairType != "anchor", part != "learning") %>% mutate(partXpairType = interaction(part, pairType,sep = ": ")) %>% mutate( hierarchy=recode(hierarchy , "H1" = "Remote", "H2" = "Recent")) %>% mutate(hierarchy=factor(hierarchy,levels=c("Remote","Recent"))) %>% mutate(pairType =  factor(str_to_title(pairType), levels = c("Premise","Inference")), part=factor(str_to_title(part),levels = c("Immediate Testing","Delayed Testing")))


ggplot(data, aes(x = hierarchy, y = meanPerf, fill = hierarchy)) +
  geom_violin(alpha = 0.5, width = 0.4, position = position_dodge(width = 0.75), 
              trim = FALSE, scale = "width") +
  geom_boxplot(alpha = 0.5, outlier.shape = NA, width = 0.2, 
               position = position_dodge(width = 0.75)) +
  labs(x = "Hierarchy", y = "Mean performance", fill = "") +
  ggtitle("Performance") +
  geom_hline(yintercept=0.5, linetype="dashed", 
                color = "grey", size=0.8) + scale_y_continuous(labels = scales::percent)+
  stat_summary(fun = mean, geom = "point", shape=3, size = 2, color = "black", stroke = 1, position = position_dodge(width = 0.75)) + 
  theme(legend.position = "bottom")  + theme_apa(base_size = 14) +  facet_nested(~ part + pairType) + scale_fill_manual(values=c("firebrick", "cornflowerblue"))

```

```{r e1f2, echo=FALSE, caption="Model comparison looking at the interaction between Hierarchy and Encoding strength"}

exp1.inf <- exp1.inf %>% mutate(Accuracy = corr) %>% mutate( Hierarchy=recode(hierarchy , "H1" = "Remote", "H2" = "Recent"), participant = participant_u, Encoding_strength =meanPremisePerformance) %>% mutate(Hierarchy=factor(Hierarchy,levels=c("Remote","Recent")))

m1 <- glmer(Accuracy ~ 1 +
    (1 | participant), data = exp1.inf, family = binomial, control = glmerControl(optimizer = "bobyqa"))
m2 <- glmer(Accuracy ~ Hierarchy +
    (1 | participant), data = exp1.inf, family = binomial, control = glmerControl(optimizer = "bobyqa"))
m3 <- glmer(Accuracy ~ Hierarchy + Encoding_strength +
    (1 | participant), data = exp1.inf, family = binomial, control = glmerControl(optimizer = "bobyqa"))
m4 <- glmer(Accuracy ~ Hierarchy * Encoding_strength +
    (1 | participant), data = exp1.inf, family = binomial, control = glmerControl(optimizer = "bobyqa"))

tab_model(m1,m2,m3,m4)
#anova(m1,m2,m3,m4)
```

Question: With or without scatterplot?

```{r e1f3, fig.cap="Plotting model predicted interaction between Hierarchy and Encoding strength"}
library(sjPlot)

# plot_model(m4, type = "eff", terms = c("Encoding_strength[all]","Hierarchy"), axis.title=c("Encoding strength","Inference performance"), colors = c("firebrick", "cornflowerblue")) + theme_apa(base_size = 14) + scale_x_continuous(labels = scales::percent) + geom_vline(xintercept=0.5, linetype="dashed", color = "grey", size=0.8)

exp1.inf.summary <- exp1.inf %>% group_by(participant,Hierarchy,Encoding_strength) %>% summarise(predicted=mean(corr)) %>% mutate(x=Encoding_strength, group_col=Hierarchy)

tmp <- tibble(get_model_data(m4, type = "pred", terms = c("Encoding_strength[all]","Hierarchy")))
# create a ggplot object
# Create ggplot object
ggplot(tmp, aes(x = x, y = predicted, color = group_col,fill=group_col)) + 
  geom_line() + 
  geom_ribbon(aes(ymin = conf.low, ymax = conf.high), alpha = 0.3) +
  xlab("Encoding strength") +
  ylab("Inference performance") +
  ggtitle("Effect of Encoding strength on Accuracy by Hierarchy") + scale_x_continuous(labels = scales::percent) + geom_vline(xintercept=0.5, linetype="dashed", color = "grey", size=0.8) + geom_point(data=exp1.inf.summary, aes(x = x, y = predicted, color = group_col,fill=group_col),alpha = 0.5, position=position_jitter(height=.01, width=.01))   + theme_apa(base_size = 14) + scale_fill_manual(values=c("firebrick", "cornflowerblue")) + labs(color = "Hierarchy", fill="Hierarchy")

```

#### Distance

```{r e1f4, caption="Model comparison looking at the interaction between Hierarchy, Encoding strength and Distance"}
exp1.inf_map <- exp1.combined %>% filter(part == "delayed testing", pairType=="inference") %>% left_join(exp1.combined.imAvg) %>% mutate(Distance = abs(Rank1-Rank2), Jointrank = Rank1+Rank2) %>% mutate(Accuracy = corr) %>% mutate( Hierarchy=recode(hierarchy , "H1" = "Remote", "H2" = "Recent"), participant = participant_u, Encoding_strength =meanPremisePerformance) %>% mutate(Hierarchy=factor(Hierarchy,levels=c("Remote","Recent")))

m1.d <- glmer(Accuracy ~ Hierarchy * Encoding_strength +
    (1 | participant), data = exp1.inf_map, family = binomial, control = glmerControl(optimizer = "bobyqa"))

m2.d <- glmer(Accuracy ~ Hierarchy * Encoding_strength + Distance +
    (1 | participant), data = exp1.inf_map, family = binomial, control = glmerControl(optimizer = "bobyqa"))
m3.d <- glmer(Accuracy ~ Hierarchy * Encoding_strength + Distance * Hierarchy +
    (1 | participant), data = exp1.inf_map, family = binomial, control = glmerControl(optimizer = "bobyqa"))
m4.d <- glmer(Accuracy ~ Hierarchy * Encoding_strength * Distance +
    (1 | participant), data = exp1.inf_map, family = binomial, control = glmerControl(optimizer = "bobyqa"))

tab_model(m1.d,m2.d,m3.d,m4.d)
#anova(m1.d,m2.d,m3.d,m4.d) # m2 wins
```

```{r e1fx, eval=FALSE}
# Using a mixed logistic model to analyse interaction between hierarchy and distance

#create scatterplot
#plot(exp1.inf_dist$distance, exp1.inf_dist$jointrank, main= "Joint rank vs Distance")
#add labels to every point
x#text(exp1.inf_dist$distance+0.02,exp1.inf_dist$jointrank, labels=exp1.inf_dist$cRank)



```

#### Jointrank

```{r e1f5, caption="Model comparison looking at the interaction between Hierarchy, Encoding strength and Jointrank"}
m1.j <- glmer(Accuracy ~ Hierarchy * Encoding_strength +
    (1 | participant), data = exp1.inf_map, family = binomial, control = glmerControl(optimizer = "bobyqa"))
m2.j <- glmer(Accuracy ~ Hierarchy * Encoding_strength + Jointrank +
    (1 | participant), data = exp1.inf_map, family = binomial, control = glmerControl(optimizer = "bobyqa"))
m3.j <- glmer(Accuracy ~ Hierarchy * Encoding_strength + Jointrank * Hierarchy +
    (1 | participant), data = exp1.inf_map, family = binomial, control = glmerControl(optimizer = "bobyqa"))
m4.j <- glmer(Accuracy ~ Hierarchy * Encoding_strength * Jointrank +
    (1 | participant), data = exp1.inf_map, family = binomial, control = glmerControl(optimizer = "bobyqa"))

tab_model(m1.j,m2.j,m3.j,m4.j)
#anova(m1.j,m2.j,m3.j,m4.j) #m4 wins

```

```{r e1f6, fig.cap="Plotting model predicted interaction between Hierarchy, Encoding strength and Jointrank"}

# plot_model(m3.j, type = "pred", terms = c("Jointrank[6,7,8]", "Hierarchy"),axis.title=c("Inference performance"))  + theme_apa(base_size = 14) + ggtitle("Effect of Jointrank on Accuracy by Hierarchy") + scale_x_continuous(breaks=seq(6, 8, 1))

plot_model(m4.j, type = "pred", terms = c("Encoding_strength[all]","Jointrank", "Hierarchy"), axis.title=c("Encoding strength","Inference performance") )  + theme_apa(base_size = 14) + scale_x_continuous(labels = scales::percent) + geom_vline(xintercept=0.5, linetype="dashed", color = "grey", size=0.8) + ggtitle("Effect of Encoding strength on Accuracy by Hierarchy and Jointrank")  

```

## Experiment 2:

### Behavioral results

```{r exp2, include=FALSE}
ellrep.lab.learning <- read_csv("lorena-ti-pilot-ellrep/Learning_Beh2.csv") %>% filter(Condition=="pre") %>% mutate(part = "learning", RT = as.character(RT))

ellrep.lab.im <- read_delim("lorena-ti-pilot-ellrep/T_premises_pre - copia.csv", 
    delim = ";", escape_double = FALSE, trim_ws = TRUE) %>% group_by(ID_S1,Group_S1,Stim_S1)


ellrep.lab.im.aggr <- read_delim("lorena-ti-pilot-ellrep/T_premises_pre - copia.csv", 
    delim = ";", escape_double = FALSE, trim_ws = TRUE) %>% group_by(ID_S1,Group_S1,Stim_S1) %>% summarise(meanIm = mean(acc_S1))

read_csv("lorena-ti-pilot-ellrep/Learning_Beh2.csv") %>% group_by(Group,Condition) %>% summarise(n_distinct(ID))

ellrep.lab <- read_delim("lorena-ti-pilot-ellrep/T_premises_pre - copia.csv",delim =';') %>% pivot_longer(
    cols = contains("_"), 
    names_to = c('.value', 'session'),
    values_drop_na = TRUE,
    names_pattern = '(.*)\\_(S\\d+)',
    names_repair = "unique"
  ) %>% rename(session = "session...1") %>% select(-session...9) -> ellrep.lab.tmp 
ellrep.lab <- rbind(ellrep.lab ,read_delim("lorena-ti-pilot-ellrep/T_inferences_pre - copia.csv",delim =';'),read_delim("lorena-ti-pilot-ellrep/T_anchor_pre - copia.csv",delim =';'))

ellrep.lab <- bind_rows(ellrep.lab,ellrep.lab.learning) %>% rowwise() %>% mutate(part = ifelse(session == "S1" && is.na(part), "immediate testing",part)) %>% mutate(part = ifelse(session == "S2" && is.na(part), "delayed testing",part))

# Split the "pair" column into two separate columns
split_df <- lapply(strsplit(ellrep.lab$Pair, ""), function(x) x[1:2])
ellrep.lab[c("Rank1", "Rank2")] <- data.frame(do.call(rbind, split_df))
# Convert each letter to its corresponding position in the alphabet
ellrep.lab$Rank1 <- as.numeric(chartr("ABCDEFGHIJKLMNOPQRSTUVWXYZ", "1234567891011121314151617181920212223242526", ellrep.lab$Rank1))
ellrep.lab$Rank2 <- as.numeric(chartr("ABCDEFGHIJKLMNOPQRSTUVWXYZ", "1234567891011121314151617181920212223242526", ellrep.lab$Rank2))

ellrep.lab %>% rename(participant=ID, group=Group, pair=Pair, pairType=PairType,stimCategory=Stim) %>% mutate(session = factor( readr::parse_number(as.character(session))),stimCategory = ifelse(stimCategory=="F","faces",ifelse(stimCategory=="O","objects","scenes")), pairType=tolower(pairType), group=tolower(group), participant=tolower(participant), distance = abs(Rank1-Rank2), jointrank=Rank1+Rank2) -> exp2.combined

```

```{r e2f1, fig.cap = "Experiment 2: Behavioural performance"}

data <- exp2.combined %>% group_by(participant, group, pairType, part, stimCategory) %>% summarise(meanPerf = mean(acc)) %>% filter(pairType != "anchor", part != "learning") %>% mutate(partXpairType = factor(interaction(part, pairType), levels=c("immediate testing.premise", "delayed testing.premise", "delayed testing.inference"))) %>% mutate( Group=recode(group , "sleep" = "Sleep", "wake" = "Wake")) %>% mutate(Group=factor(Group,levels=c("Sleep","Wake"))) %>% mutate(pairType =  factor(str_to_title(pairType), levels = c("Premise","Inference")), part=factor(str_to_title(part),levels = c("Immediate Testing","Delayed Testing")))

ggplot(data, aes(x = Group, y = meanPerf, fill = Group)) +
  geom_violin(alpha = 0.5, width = 0.4, position = position_dodge(width = 0.75), 
              trim = FALSE, scale = "width") +
  geom_boxplot(alpha = 0.5, outlier.shape = NA, width = 0.2, 
               position = position_dodge(width = 0.75)) +
  labs(x = "Hierarchy", y = "Mean performance", fill = "") +
  ggtitle("Performance") +
  geom_hline(yintercept=0.5, linetype="dashed", 
                color = "grey", size=0.8) + scale_y_continuous(labels = scales::percent)+
  stat_summary(fun = mean, geom = "point", shape=3, size = 2, color = "black", stroke = 1, position = position_dodge(width = 0.75)) + 
  theme(legend.position = "bottom")  + theme_apa(base_size = 14) +  facet_nested(~ part + pairType) + scale_fill_manual(values=c("firebrick", "cornflowerblue"))
```

#### Encoding strength

```{r e2f2, caption = "Model comparison looking at the interaction between Hierarchy and Encoding strength"}
exp2.combined.imAvg <- exp2.combined %>% filter(part == "immediate testing") %>% group_by(participant, group, stimCategory) %>% summarise(meanPremisePerformance = mean(acc))

exp2.inf <- exp2.combined %>% filter(part == "delayed testing", pairType=="inference") %>% left_join(exp2.combined.imAvg) %>% mutate(Accuracy = acc) %>% mutate(participant = participant, Encoding_strength =meanPremisePerformance) %>% mutate( Group=recode(group , "sleep" = "Sleep", "wake" = "Wake")) %>% mutate(Group=factor(Group,levels=c("Sleep","Wake")))

m1 <- glmer(Accuracy ~ 1 +
    (1 | participant), data = exp2.inf, family = binomial, control = glmerControl(optimizer = "bobyqa"))
m2 <- glmer(Accuracy ~ Group +
    (1 | participant), data = exp2.inf, family = binomial, control = glmerControl(optimizer = "bobyqa"))
m3 <- glmer(Accuracy ~ Group + Encoding_strength +
    (1 | participant), data = exp2.inf, family = binomial, control = glmerControl(optimizer = "bobyqa"))
m4 <- glmer(Accuracy ~ Group * Encoding_strength +
    (1 | participant), data = exp2.inf, family = binomial, control = glmerControl(optimizer = "bobyqa"))

tab_model(m1,m2,m3,m4)
```

```{r e2f3, fig.cap="Plotting model predicted interaction between Hierarchy and Encoding strength"}
library(sjPlot)

plot_model(m4, type = "pred", terms = c("Encoding_strength[all]","Group"), axis.title=c("Encoding strength","Inference performance"), colors = c("firebrick", "cornflowerblue")) + theme_apa(base_size = 14) + scale_x_continuous(labels = scales::percent) + geom_vline(xintercept=0.5, linetype="dashed", color = "grey", size=0.8)

# exp1.inf.summary <- exp1.inf %>% group_by(participant,Hierarchy,Encoding_strength) %>% summarise(predicted=mean(corr)) %>% mutate(x=Encoding_strength, group_col=Hierarchy)

# tmp <- tibble(get_model_data(m4, type = "pred", terms = c("Encoding_strength[all]","Hierarchy")))
# # create a ggplot object
# # Create ggplot object
# ggplot(tmp, aes(x = x, y = predicted, color = group_col,fill=group_col)) + 
#   geom_line() + 
#   geom_ribbon(aes(ymin = conf.low, ymax = conf.high), alpha = 0.3) +
#   xlab("Encoding strength") +
#   ylab("Inference performance") +
#   ggtitle("Effect of Encoding strength on Accuracy by Hierarchy") + scale_x_continuous(labels = scales::percent) + geom_vline(xintercept=0.5, linetype="dashed", color = "grey", size=0.8) + geom_point(data=exp1.inf.summary, aes(x = x, y = predicted, color = group_col,fill=group_col),alpha = 0.5, position=position_jitter(height=.01, width=.01))   + theme_apa(base_size = 14) + scale_fill_manual(values=c("firebrick", "cornflowerblue")) + labs(color = "Hierarchy", fill="Hierarchy")

```

#### Distance

```{r e2f4, caption="Model comparison looking at the interaction between Hierarchy, Encoding strength and Distance"}
exp2.inf_map <- exp2.combined %>% filter(part == "delayed testing", pairType=="inference") %>% left_join(exp2.combined.imAvg) %>% mutate(Accuracy = acc) %>% mutate(participant = participant, Encoding_strength =meanPremisePerformance) %>% mutate( Group=recode(group , "sleep" = "Sleep", "wake" = "Wake")) %>% mutate(Group=factor(Group,levels=c("Sleep","Wake"))) %>% mutate(Distance=distance, Jointrank=jointrank)

m1.d <- glmer(Accuracy ~ Group * Encoding_strength +
    (1 | participant), data = exp2.inf_map, family = binomial, control = glmerControl(optimizer = "bobyqa"))

m2.d <- glmer(Accuracy ~ Group * Encoding_strength + Distance +
    (1 | participant), data = exp2.inf_map, family = binomial, control = glmerControl(optimizer = "bobyqa"))
m3.d <- glmer(Accuracy ~ Group * Encoding_strength + Distance * Group +
    (1 | participant), data = exp2.inf_map, family = binomial, control = glmerControl(optimizer = "bobyqa"))
m4.d <- glmer(Accuracy ~ Group * Encoding_strength * Distance +
    (1 | participant), data = exp2.inf_map, family = binomial, control = glmerControl(optimizer = "bobyqa"))

tab_model(m1.d,m2.d,m3.d,m4.d)
#anova(m1.d,m2.d,m3.d,m4.d) # m3 wins
```

```{r e2f5, fig.cap="Plotting model predicted interaction between Hierarchy and Distance"}

plot_model(m3.d,type = "pred",terms = c("Distance","Group"))  + theme_apa(base_size = 14)  + ggtitle("Effect of Distance on Accuracy by Hierarchy") + scale_x_continuous(breaks=seq(2, 3, 1))

```

#### Jointrank

```{r e2f6, caption="Model comparison looking at the interaction between Hierarchy, Encoding strength and Jointrank"}
m1.j <- glmer(Accuracy ~ Group * Encoding_strength +
    (1 | participant), data = exp2.inf_map, family = binomial, control = glmerControl(optimizer = "bobyqa"))
m2.j <- glmer(Accuracy ~ Group * Encoding_strength + Jointrank +
    (1 | participant), data = exp2.inf_map, family = binomial, control = glmerControl(optimizer = "bobyqa"))
m3.j <- glmer(Accuracy ~ Group * Encoding_strength + Jointrank * Group +
    (1 | participant), data = exp2.inf_map, family = binomial, control = glmerControl(optimizer = "bobyqa"))
m4.j <- glmer(Accuracy ~ Group * Encoding_strength * Jointrank +
    (1 | participant), data = exp2.inf_map, family = binomial, control = glmerControl(optimizer = "bobyqa"))
m5.j <- glmer(Accuracy ~ Group * Encoding_strength * Jointrank +
    (1 | participant), data = exp2.inf_map, family = binomial, control = glmerControl(optimizer = "bobyqa"))

tab_model(m1.j,m2.j,m3.j,m4.j,m5.j)
#anova(m1.j,m2.j,m3.j,m4.j) #m4 wins
```

```{r e2f7, fig.cap="Plotting model predicted interaction between Hierarchy, Encoding strength and Jointrank"}

# plot_model(m3.j, type = "pred", terms = c("Jointrank[6,7,8]", "Hierarchy"),axis.title=c("Inference performance"))  + theme_apa(base_size = 14) + ggtitle("Effect of Jointrank on Accuracy by Hierarchy") + scale_x_continuous(breaks=seq(6, 8, 1))

plot_model(m4.j, type = "pred", terms = c("Encoding_strength[all]","Jointrank", "Group"), axis.title=c("Encoding strength","Inference performance") )  + theme_apa(base_size = 14) + scale_x_continuous(labels = scales::percent) + geom_vline(xintercept=0.5, linetype="dashed", color = "grey", size=0.8) + ggtitle("Effect of Encoding strength on Accuracy by Hierarchy and Jointrank")  

```

# Discussion

# Materials and Methods

## Participants

## Procedure

### Experiment 1

### Experiment 2

## Stimuli

## Statistical analyses

## Behavioral analyses
