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240111_VBM_TurnTaking_Analysis.Rmd
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---
title: "Code for Temporal Dynamics of Child-Adult Conversations Across Social Contexts and Tasks"
output: html_document
date: "2024-25-10"
editor_options:
chunk_output_type: console
---
```{r setup, include=FALSE}
## Load libraries
library(pacman)
pacman::p_load(tidyverse,
ggcorrplot,
job,
cowplot,
ggrain,
here,
brms,
readxl,
ggridges,
viridis,
patchwork,
ggbeeswarm,
faux,
bayestestR,
see,
modelr,
xtable,
gghalves)
```
# Functions, Models and Datasets to be Used
```{r}
ChildLatency_m1 <- readRDS(here( "VBMTurnTakingFiles", "models", "ChildLatency_m1_sigma_Visit_v1_finalJuly_InterceptsPlusSlopes.rds"))
AdultLatency_m1 <- readRDS(here( "VBMTurnTakingFiles", "models","AdultLatency_m1July.rds"))
ChildLatency_m1_no <- readRDS(here( "VBMTurnTakingFiles", "models", "ChildLatency_m1_noJuly.rds"))
AdultLatency_m1_no <- readRDS(here( "VBMTurnTakingFiles", "models", "AdultLatency_m1_noJuly.rds"))
OverlappingChild_m <- readRDS(here( "VBMTurnTakingFiles", "models", "OverlappingChild_m.rds"))
OverlappingAdult_m <- readRDS(here( "VBMTurnTakingFiles", "models", "OverlappingAdult_m.rds"))
ChildLatency_m2_ID <- readRDS(here( "VBMTurnTakingFiles", "models", "ChildLatency_m2_ID.rds"))
AdultLatency_m2_ID <- readRDS(here( "VBMTurnTakingFiles", "models", "AdultLatency_m2_ID.rds"))
ChildLatency_m3_pred <- readRDS(here( "VBMTurnTakingFiles", "models", "ChildLatency_m3_predJulyJuly.rds"))
AdultLatency_m3_pred <- readRDS(here( "VBMTurnTakingFiles", "models", "AdultLatency_m3_pred.rds"))
m_dyad_coupling_adaptation <- readRDS(here( "VBMTurnTakingFiles", "models", "m_dyad_coupling_adaptation.rds"))
ChildLatency_m1_Gender <- readRDS(here( "VBMTurnTakingFiles", "models", "ChildLatency_m1_Gender.rds"))
ChildLatency_pred_m3_morethanthreewords <- readRDS(here( "VBMTurnTakingFiles", "models", "ChildLatency_pred_m3_morethanthreewords.rds"))
ChildLatency_m1_sigma_Visit <- readRDS(here( "VBMTurnTakingFiles", "models", "ChildLatency_m1_sigma_Visit_v1_finalJuly.rds"))
ChildLatency_m1_no_sigma_no_beta <- readRDS(here( "VBMTurnTakingFiles", "models", "ChildLatency_m1_sigma_Visit_v1_finalJuly_no_sigma_no_beta.rds"))
ChildLatency_m1_no_beta_with_sigma <- readRDS(here( "VBMTurnTakingFiles", "models", "ChildLatency_m1_sigma_Visit_v1_finalJulyJuly_no_beta.rds"))
ChildLatency_m2_ID_NoOverlaps <- readRDS(here( "VBMTurnTakingFiles", "models", "ChildLatency_m2_ID_NoOverlapsJulyJuly.rds"))
ChildLatency_ID_pred_m3_no_backchannel <- readRDS(here( "VBMTurnTakingFiles", "models", "ChildLatency_ID_pred_m1_no_backchannel.rds"))
ChildLatency_ID_pred_m3_morethanthreewords <- readRDS(here( "VBMTurnTakingFiles", "models", "ChildLatency_pred_m3_morethanthreewords.rds"))
ChildLatency_m1_surrogate <- readRDS(here( "VBMTurnTakingFiles", "models", "ChildLatency_m1_surrogateNew.rds"))
OverlappingChild_m2_IndividualDifferences <- readRDS(here("VBMTurnTakingFiles", "models", "OverlappingChild_m2_IndividualDifferencesJuly.rds"))
#Function to extract relevant hypothesis data from models:
extract_relevant_data <- function(model, hypothesisformula, TestDescription) {
hypothesis <- hypothesis(model, hypothesisformula)
relevant_data <- hypothesis$hypothesis[, c("Estimate", "CI.Lower", "CI.Upper", "Evid.Ratio")] %>%
mutate(Estimate = Estimate * 1000) %>%
mutate(CI.Lower = CI.Lower * 1000) %>%
mutate(CI.Upper = CI.Upper * 1000)
relevant_data$TestDescription <- TestDescription
return(relevant_data)
}
#Function to extract relevant hypothesis data from models:
extract_relevant_nonlatency_data <- function(model, hypothesisformula, TestDescription) {
hypothesis <- hypothesis(model, hypothesisformula)
relevant_data <- hypothesis$hypothesis[, c("Estimate", "CI.Lower", "CI.Upper", "Evid.Ratio")]
relevant_data$TestDescription <- TestDescription
return(relevant_data)
}
#Function to extract relevant hypothesis data from models:
extract_relevant_sd_data <- function(model, hypothesisformula, TestDescription) {
hypothesis <- hypothesis(model, hypothesisformula, class = "sd", group = "ID")
relevant_data <- hypothesis$hypothesis[, c("Estimate", "CI.Lower", "CI.Upper", "Evid.Ratio")] %>%
mutate(Estimate = Estimate * 1000) %>%
mutate(CI.Lower = CI.Lower * 1000) %>%
mutate(CI.Upper = CI.Upper * 1000)
relevant_data$TestDescription <- TestDescription
return(relevant_data)
}
#Function to extract relevant hypothesis data from models:
extract_relevant_sdvisit_data <- function(model, hypothesisformula, TestDescription) {
hypothesis <- hypothesis(model, hypothesisformula, class = "sd", group = "Visit")
relevant_data <- hypothesis$hypothesis[, c("Estimate", "CI.Lower", "CI.Upper", "Evid.Ratio")] %>%
mutate(Estimate = Estimate * 1000) %>%
mutate(CI.Lower = CI.Lower * 1000) %>%
mutate(CI.Upper = CI.Upper * 1000)
relevant_data$TestDescription <- TestDescription
return(relevant_data)
}
#Function to extract relevant hypothesis data from models:
extract_relevant_sigma_data <- function(model, hypothesisformula, TestDescription) {
hypothesis <- hypothesis(model, hypothesisformula)
relevant_data <- hypothesis$hypothesis[, c("Estimate", "CI.Lower", "CI.Upper", "Evid.Ratio")] %>%
mutate(Estimate = exp(Estimate) * 1000) %>%
mutate(CI.Lower = exp(CI.Lower) * 1000) %>%
mutate(CI.Upper = exp(CI.Upper) * 1000)
relevant_data$TestDescription <- TestDescription
return(relevant_data)
}
#Function to extract relevant posterior for visits from model:
Visitextract_and_rename <- function(post, diagnosis, task, familiarity) {
col_names <- paste0("r_Visit[", 1:7, ",", diagnosis, ":", task, ":", familiarity, "]")
new_names <- paste0("Visit", 1:7)
post[, col_names] %>%
dplyr::rename_at(vars(all_of(col_names)), ~ new_names)
}
# Function to take the correlation data and make correlation plots:
generate_corr_plot <- function(data, title) {
#cor_matrix <- cor(data)
ggcorrplot(data, method = "circle", lab = TRUE, type = "lower", digits = 2, lab_size = 5) +
ggtitle(title) +
ylab('') +
xlab('') +
theme(plot.title = element_text(hjust = 0.5, size = 20, face ="bold"),
axis.text.x = element_text(size = 20, color = "black"),
axis.title.x = element_text(size = 20),
axis.text.y = element_text(size = 20, color = "black"),
axis.title.y = element_text(size = 20),
legend.title = element_blank(),
#legend.position = "none",
strip.background = element_rect(color = "white", fill = "white", linewidth = 1.5, linetype = "solid"),
strip.text.x = element_text(size = 20, color = "black", face ="bold"))
}
#Read in the data
d <- read.csv('/work/VBMTurnTakingFiles/data/d.csv')
d_dyadic <- read.csv('/work/VBMTurnTakingFiles/data/d_dyadic.csv')
```
# RQ1, Child Response Latencies across Different Conditions
```{r, eval = FALSE}
Latency_f1 <- bf(
Latency ~ 0 + Diagnosis:Task:Familiarity +
(0 + Task:Familiarity | p | gr(ID, by = Diagnosis)) +
(0 + Diagnosis:Task:Familiarity | r | Visit),
sigma ~ 0 + Diagnosis:Task:Familiarity + Diagnosis:Task:Familiarity:Visit +
(0 + Task:Familiarity:Visit | p | gr(ID, by = Diagnosis)),
beta ~ 0 + Diagnosis:Task:Familiarity +
(0 + Task:Familiarity | p | gr(ID, by = Diagnosis)) +
(0 + Diagnosis:Task:Familiarity | r | Visit))
priorChild <- c(
prior(normal(1, 1), class = b),
prior(normal(0, 0.3), class = sd),
prior(normal(0, 1), class = b, dpar = beta),
prior(normal(0, 0.1), class = sd, dpar = beta),
prior(normal(0, 1), class = b, dpar = sigma),
prior(normal(0, 0.1), class = sd, dpar = sigma),
prior(lkj(2), class = cor)
)
job::job({
ChildLatency_m1 <- brm(
Latency_f1,
data = subset(d, InterTurn == "Child2Adult"),
family = exgaussian,
prior = priorChild,
sample_prior = T,
backend = "cmdstanr",
iter = 3000,
warmup = 500,
init = 0,
chains = 2,
cores = 64,
file = here("models","ChildLatency_m1_v1_finalJulyJuly"),
control = list(adapt_delta = 0.99, max_treedepth = 20),
stan_model_args = list(stanc_options = list("O1")))
})
pp_check(ChildLatency_m1, ndraws = 100)
```
## Hypothesis Tests
```{r}
# Overall Estimates in Autism Group
OverallLatencyThreeConditionsASD <- extract_relevant_data(ChildLatency_m1,
"(DiagnosisASD:TaskMatchingGame:FamiliarityFamiliar + DiagnosisASD:TaskQuestions:FamiliarityFamiliar +DiagnosisASD:TaskQuestions:FamiliarityUnfamiliar)/3 > 0",
"OverallLatencyThreeConditionsASD")
MGOverallLatencyASD <- extract_relevant_data(ChildLatency_m1,
"DiagnosisASD:TaskMatchingGame:FamiliarityFamiliar > 0",
"MGOverallLatencyASD>0")
Q_F_OverallLatencyASD <- extract_relevant_data(ChildLatency_m1,
"DiagnosisASD:TaskQuestions:FamiliarityFamiliar > 0",
"Q_F_OverallLatencyASD>0")
Q_UF_OverallLatencyASD <- extract_relevant_data(ChildLatency_m1,
"DiagnosisASD:TaskQuestions:FamiliarityUnfamiliar > 0",
"Q_UF_OverallLatencyASD>0")
# Overall Estimates in TD Group
OverallLatencyThreeConditionsTD <- extract_relevant_data(ChildLatency_m1,
"(DiagnosisTDC:TaskMatchingGame:FamiliarityFamiliar + DiagnosisTDC:TaskQuestions:FamiliarityFamiliar +DiagnosisTDC:TaskQuestions:FamiliarityUnfamiliar) / 3 > 0",
"OverallLatencyThreeConditionsTD")
MGOverallLatencyTDC <- extract_relevant_data(ChildLatency_m1,
"DiagnosisTDC:TaskMatchingGame:FamiliarityFamiliar > 0",
"MGOverallLatencyTDC>0")
Q_F_OverallLatencyTDC <- extract_relevant_data(ChildLatency_m1,
"DiagnosisTDC:TaskQuestions:FamiliarityFamiliar > 0",
"Q_F_OverallLatencyTDC>0")
Q_UF_OverallLatencyTDC <- extract_relevant_data(ChildLatency_m1,
"DiagnosisTDC:TaskQuestions:FamiliarityUnfamiliar > 0",
"Q_UF_OverallLatencyTDC>0")
# Overall Differences between Autism Group and Typical Development Group
OverallLatencyThreeConditionsASDFasterTD <- extract_relevant_data(ChildLatency_m1,
"(DiagnosisASD:TaskMatchingGame:FamiliarityFamiliar + DiagnosisASD:TaskQuestions:FamiliarityFamiliar +DiagnosisASD:TaskQuestions:FamiliarityUnfamiliar)/3
<
(DiagnosisTDC:TaskMatchingGame:FamiliarityFamiliar + DiagnosisTDC:TaskQuestions:FamiliarityFamiliar +DiagnosisTDC:TaskQuestions:FamiliarityUnfamiliar) / 3",
"OverallLatencyThreeConditionsASD<TD")
# Overall values for Beta parameter
BetaParameterASD_MG <- extract_relevant_nonlatency_data(ChildLatency_m1,
"beta_DiagnosisASD:TaskMatchingGame:FamiliarityFamiliar > 0",
"BetaParameterASD_MG")
BetaParameterASD_Q_F <- extract_relevant_nonlatency_data(ChildLatency_m1,
"beta_DiagnosisASD:TaskQuestions:FamiliarityFamiliar < 0",
"BetaParameterASD_Q_F")
BetaParameterASD_Q_UF <- extract_relevant_nonlatency_data(ChildLatency_m1,
"beta_DiagnosisASD:TaskQuestions:FamiliarityUnfamiliar < 0",
"BetaParameterASD_Q_UF")
BetaParameterASD_Overall <- extract_relevant_nonlatency_data(ChildLatency_m1,
"(beta_DiagnosisASD:TaskMatchingGame:FamiliarityFamiliar +
beta_DiagnosisASD:TaskQuestions:FamiliarityFamiliar +
beta_DiagnosisASD:TaskQuestions:FamiliarityUnfamiliar) / 3 < 0",
"BetaParameterASD_Overall")
# Differences, Typical Development Group with Long Pauses
BetaParameterTDC_MG <- extract_relevant_nonlatency_data(ChildLatency_m1,
"beta_DiagnosisTDC:TaskMatchingGame:FamiliarityFamiliar > 0",
"BetaParameterTDC_MG")
BetaParameterTDC_Q_F <- extract_relevant_nonlatency_data(ChildLatency_m1,
"beta_DiagnosisTDC:TaskQuestions:FamiliarityFamiliar < 0",
"BetaParameterTDC_Q_F")
BetaParameterTDC_Q_UF <- extract_relevant_nonlatency_data(ChildLatency_m1,
"beta_DiagnosisTDC:TaskQuestions:FamiliarityUnfamiliar < 0",
"BetaParameterTDC_Q_UF")
BetaParameterTDC_Overall <- extract_relevant_nonlatency_data(ChildLatency_m1,
"(beta_DiagnosisTDC:TaskMatchingGame:FamiliarityFamiliar +
beta_DiagnosisTDC:TaskQuestions:FamiliarityFamiliar +
beta_DiagnosisTDC:TaskQuestions:FamiliarityUnfamiliar) / 3 < 0",
"BetaParameterTDC_Overall")
WithinGroupBetaParameterASD_MG_Slower_Q_F <- extract_relevant_nonlatency_data(ChildLatency_m1,
"beta_DiagnosisASD:TaskMatchingGame:FamiliarityFamiliar > beta_DiagnosisASD:TaskQuestions:FamiliarityFamiliar",
"WithinGroupBetaParameterASD_MG_Slower_Q_F")
WithinGroupBetaParameterASD_Q_F_Slower_Q_UF <- extract_relevant_nonlatency_data(ChildLatency_m1,
"beta_DiagnosisASD:TaskQuestions:FamiliarityUnfamiliar > beta_DiagnosisASD:TaskQuestions:FamiliarityFamiliar",
"WithinGroupBetaParameterASD_Q_F_Slower_Q_UF")
WithinGroupBetaParameterTDC_MG_Slower_Q_F <- extract_relevant_nonlatency_data(ChildLatency_m1,
"beta_DiagnosisTDC:TaskMatchingGame:FamiliarityFamiliar > beta_DiagnosisTDC:TaskQuestions:FamiliarityFamiliar",
"WithinGroupBetaParameterTDC_MG_Slower_Q_F")
WithinGroupBetaParameterTDC_Q_F_Slower_Q_UF <- extract_relevant_nonlatency_data(ChildLatency_m1,
"beta_DiagnosisTDC:TaskQuestions:FamiliarityUnfamiliar > beta_DiagnosisTDC:TaskQuestions:FamiliarityFamiliar",
"WithinGroupBetaParameterTDC_Q_F_Slower_Q_UF")
DifferenceInDifferenceBetaParameterBetweenGroupsMGBiggerQ_F <- extract_relevant_nonlatency_data(ChildLatency_m1,
"(beta_DiagnosisTDC:TaskMatchingGame:FamiliarityFamiliar - beta_DiagnosisASD:TaskMatchingGame:FamiliarityFamiliar) >
(beta_DiagnosisTDC:TaskQuestions:FamiliarityFamiliar - beta_DiagnosisASD:TaskQuestions:FamiliarityFamiliar)",
"DifferenceInDifferenceBetaParameterBetweenGroupsMGBiggerQ_F")
DifferenceInDifferenceBetaParameterBetweenGroupsFamiliarityBiggerUnfamiliarity <- extract_relevant_nonlatency_data(ChildLatency_m1,
"(beta_DiagnosisTDC:TaskQuestions:FamiliarityFamiliar - beta_DiagnosisASD:TaskQuestions:FamiliarityFamiliar) <
(beta_DiagnosisTDC:TaskQuestions:FamiliarityUnfamiliar - beta_DiagnosisASD:TaskQuestions:FamiliarityUnfamiliar)",
"DifferenceInDifferenceBetaParameterBetweenGroupsFamiliarityBiggerUnfamiliarity")
# Differences between Autism Group and Typical Development Group with Long Pauses
OverallBetaParameterASDLowerTD <- extract_relevant_nonlatency_data(ChildLatency_m1,
"(beta_DiagnosisASD:TaskMatchingGame:FamiliarityFamiliar + beta_DiagnosisASD:TaskQuestions:FamiliarityFamiliar + beta_DiagnosisASD:TaskQuestions:FamiliarityUnfamiliar) / 3 < ((beta_DiagnosisTDC:TaskMatchingGame:FamiliarityFamiliar + beta_DiagnosisTDC:TaskQuestions:FamiliarityFamiliar + beta_DiagnosisTDC:TaskQuestions:FamiliarityUnfamiliar) / 3)",
"OverallBetaParameterASD<TD")
BetaParameterASDFasterTD_MG <- extract_relevant_nonlatency_data(ChildLatency_m1,
"beta_DiagnosisASD:TaskMatchingGame:FamiliarityFamiliar < beta_DiagnosisTDC:TaskMatchingGame:FamiliarityFamiliar",
"BetaParameter_ASD_MG<TD_MG")
BetaParameterASDFasterTD_Q_F <- extract_relevant_nonlatency_data(ChildLatency_m1,
"beta_DiagnosisASD:TaskQuestions:FamiliarityFamiliar < beta_DiagnosisTDC:TaskQuestions:FamiliarityFamiliar",
"BetaParameter_ASD_MG<TD_Q_F")
BetaParameterASDFasterTD_Q_UF <- extract_relevant_nonlatency_data(ChildLatency_m1,
"beta_DiagnosisASD:TaskQuestions:FamiliarityUnfamiliar < beta_DiagnosisTDC:TaskQuestions:FamiliarityUnfamiliar",
"BetaParameter_ASD_MG<TD_Q_UF")
# Differences within Autism Group across Conditions:
WithinASDGroupMGSlowerQuestionsFamiliar <- extract_relevant_data(ChildLatency_m1,
"DiagnosisASD:TaskMatchingGame:FamiliarityFamiliar > DiagnosisASD:TaskQuestions:FamiliarityFamiliar",
"WithinASDGroupMG>QuestionsFamiliar")
# Differences within TD Group across Conditions:
WithinTDGroupMGSlowerQuestionsFamiliar <- extract_relevant_data(ChildLatency_m1,
"DiagnosisTDC:TaskMatchingGame:FamiliarityFamiliar > DiagnosisTDC:TaskQuestions:FamiliarityFamiliar",
"WithinTDGroupMG>QuestionsFamiliar")
# Differences within Autism Group across Familiarity:
WithinAutismGroupQuestionsUnfamiliarSlowerFamiliar <- extract_relevant_data(ChildLatency_m1,
"DiagnosisASD:TaskQuestions:FamiliarityUnfamiliar > DiagnosisASD:TaskQuestions:FamiliarityFamiliar",
"WithinAutismGroupQuestionsUnfamiliar>Familiar")
# Differences within TD Group across Familiarity:
WithinTDGroupQuestionsUnfamiliarSlowerFamiliar <- extract_relevant_data(ChildLatency_m1,
"DiagnosisTDC:TaskQuestions:FamiliarityUnfamiliar > DiagnosisTDC:TaskQuestions:FamiliarityFamiliar",
"WithinTDGroupQuestionsUnfamiliar>Familiar")
# Differences between Autism Group and Typical Development Group Within MatchingGame
WithinConditionsMatchingGameASDFasterTD <- extract_relevant_data(ChildLatency_m1,
"DiagnosisASD:TaskMatchingGame:FamiliarityFamiliar < DiagnosisTDC:TaskMatchingGame:FamiliarityFamiliar",
"WithinConditionsMatchingGameASD<TD")
# Differences between Autism Group and Typical Development Group Within Familiar Questions:
WithinConditionsQuestionsFamiliarASDFasterTD <- extract_relevant_data(ChildLatency_m1,
"DiagnosisASD:TaskQuestions:FamiliarityFamiliar < DiagnosisTDC:TaskQuestions:FamiliarityFamiliar",
"WithinConditionsQuestionsFamiliarASD<TD")
# Differences between Autism Group and Typical Development Group Within Unfamiliar Questions:
WithinConditionsQuestionsUnfamiliarASDFasterTD <- extract_relevant_data(ChildLatency_m1,
"DiagnosisASD:TaskQuestions:FamiliarityUnfamiliar < DiagnosisTDC:TaskQuestions:FamiliarityUnfamiliar",
"WithinConditionsQuestionsUnfamiliarASD<TD")
# Differences between Autism Group and Typical Development Group in Differences within Familiarity
DifferenceInDifferenceBetweenGroupsUnfamiliarBiggerFamiliarity <- extract_relevant_data(ChildLatency_m1,
"(DiagnosisASD:TaskQuestions:FamiliarityUnfamiliar - DiagnosisTDC:TaskQuestions:FamiliarityUnfamiliar) <
(DiagnosisASD:TaskQuestions:FamiliarityFamiliar - DiagnosisTDC:TaskQuestions:FamiliarityFamiliar)",
"DifferenceInDifferenceBetweenGroupsUnfamiliar>Familiarity")
# Differences between Autism Group and Typical Development Group in Differences within Conditions
DifferenceInDifferenceBetweenGroupsMGBiggerThanConversations <- extract_relevant_data(ChildLatency_m1,
"(DiagnosisASD:TaskMatchingGame:FamiliarityFamiliar - DiagnosisTDC:TaskMatchingGame:FamiliarityFamiliar) >
(DiagnosisASD:TaskQuestions:FamiliarityFamiliar - DiagnosisTDC:TaskQuestions:FamiliarityFamiliar)",
"DifferenceInDifferenceBetweenGroupsMG>Conversations")
# Overall Subject Variability in Autismm Group
SubjectVariabilityASD <- extract_relevant_sd_data(ChildLatency_m1,
"(TaskMatchingGame:FamiliarityFamiliar:DiagnosisASD +
TaskQuestions:FamiliarityFamiliar:DiagnosisASD + TaskQuestions:FamiliarityUnfamiliar:DiagnosisASD)/3 > 0",
"SubjectVariabilityASD")
SubjectVariabilityASD_MG <- extract_relevant_sd_data(ChildLatency_m1,
"TaskMatchingGame:FamiliarityFamiliar:DiagnosisASD > 0",
"SubjectVariabilityASD_MG")
SubjectVariabilityASD_Q_F <- extract_relevant_sd_data(ChildLatency_m1,
"TaskQuestions:FamiliarityFamiliar:DiagnosisASD > 0",
"SubjectVariabilityASD_Q_F")
SubjectVariabilityASD_Q_UF <- extract_relevant_sd_data(ChildLatency_m1,
"TaskQuestions:FamiliarityUnfamiliar:DiagnosisASD > 0",
"SubjectVariabilityASD_Q_UF")
# Overall Subject Variability in TD Group
SubjectVariabilityTD <- extract_relevant_sd_data(ChildLatency_m1,
"(TaskMatchingGame:FamiliarityFamiliar:DiagnosisTDC +
TaskQuestions:FamiliarityFamiliar:DiagnosisTDC + TaskQuestions:FamiliarityUnfamiliar:DiagnosisTDC)/3 > 0",
"SubjectVariabilityTD")
SubjectVariabilityTD_MG <- extract_relevant_sd_data(ChildLatency_m1,
"TaskMatchingGame:FamiliarityFamiliar:DiagnosisTDC > 0",
"SubjectVariabilityTD_MG")
SubjectVariabilityTD_Q_F <- extract_relevant_sd_data(ChildLatency_m1,
"TaskQuestions:FamiliarityFamiliar:DiagnosisTDC > 0",
"SubjectVariabilityTD_Q_F")
SubjectVariabilityTD_Q_UF <- extract_relevant_sd_data(ChildLatency_m1,
"TaskQuestions:FamiliarityUnfamiliar:DiagnosisTDC > 0",
"SubjectVariabilityTD_Q_UF")
# Overall Subject Variability in TD Group
SubjectVariabilityASDSmallerThanTD <- extract_relevant_sd_data(ChildLatency_m1,
"(TaskMatchingGame:FamiliarityFamiliar:DiagnosisASD +
TaskQuestions:FamiliarityFamiliar:DiagnosisASD + TaskQuestions:FamiliarityUnfamiliar:DiagnosisASD) / 3 <
(TaskMatchingGame:FamiliarityFamiliar:DiagnosisTDC +
TaskQuestions:FamiliarityFamiliar:DiagnosisTDC + TaskQuestions:FamiliarityUnfamiliar:DiagnosisTDC) / 3",
"SubjectVariabilityASD<TD")
SubjectVariabilityASDSmallerThanTD_MG <- extract_relevant_sd_data(ChildLatency_m1,
"TaskMatchingGame:FamiliarityFamiliar:DiagnosisASD <
TaskMatchingGame:FamiliarityFamiliar:DiagnosisTDC",
"SubjectVariabilityASD_MG<TD_MG")
SubjectVariabilityASDSmallerThanTD_Q_F <- extract_relevant_sd_data(ChildLatency_m1,
"TaskQuestions:FamiliarityFamiliar:DiagnosisASD <
TaskQuestions:FamiliarityFamiliar:DiagnosisTDC",
"SubjectVariabilityASD_Q_F<TD_Q_F")
SubjectVariabilityASDSmallerThanTD_Q_UF <- extract_relevant_sd_data(ChildLatency_m1,
"TaskQuestions:FamiliarityUnfamiliar:DiagnosisASD <
TaskQuestions:FamiliarityUnfamiliar:DiagnosisTDC",
"SubjectVariabilityASD_Q_UF<TD_Q_UF")
SubjectVariabilityASD_MG_SmallerThan_Q_F <- extract_relevant_sd_data(ChildLatency_m1,
"TaskMatchingGame:FamiliarityFamiliar:DiagnosisASD > TaskQuestions:FamiliarityFamiliar:DiagnosisASD",
"SubjectVariabilityASD_MG_SmallerThan_Q_F")
SubjectVariabilityASD_Q_F_SmallerThan_Q_UF <- extract_relevant_sd_data(ChildLatency_m1,
"TaskQuestions:FamiliarityUnfamiliar:DiagnosisASD > TaskQuestions:FamiliarityFamiliar:DiagnosisASD",
"SubjectVariabilityASD_Q_F_SmallerThan_Q_UF")
SubjectVariabilityTDC_MG_SmallerThan_Q_F <- extract_relevant_sd_data(ChildLatency_m1,
"TaskMatchingGame:FamiliarityFamiliar:DiagnosisTDC < TaskQuestions:FamiliarityFamiliar:DiagnosisTDC",
"SubjectVariabilityTDC_MG_SmallerThan_Q_F")
SubjectVariabilityTDC_Q_F_SmallerThan_Q_UF <- extract_relevant_sd_data(ChildLatency_m1,
"TaskQuestions:FamiliarityUnfamiliar:DiagnosisTDC > TaskQuestions:FamiliarityFamiliar:DiagnosisTDC",
"SubjectVariabilityTDC_Q_F_SmallerThan_Q_UF")
DifferenceInDifferenceSubjectVariabilityUnfamiliarSmallerFamiliarity <- extract_relevant_sd_data(ChildLatency_m1,
"(TaskQuestions:FamiliarityUnfamiliar:DiagnosisASD - TaskQuestions:FamiliarityUnfamiliar:DiagnosisTDC)
<
(TaskQuestions:FamiliarityFamiliar:DiagnosisASD - TaskQuestions:FamiliarityFamiliar:DiagnosisTDC)",
"DifferenceInDifferenceSubjectVariabilityUnfamiliarBiggerFamiliarity")
DifferenceInDifferenceSubjectVariabilityMatchingGameBiggerQuestions <- extract_relevant_sd_data(ChildLatency_m1,
"(TaskMatchingGame:FamiliarityFamiliar:DiagnosisTDC - TaskMatchingGame:FamiliarityFamiliar:DiagnosisASD)
<
(TaskQuestions:FamiliarityFamiliar:DiagnosisTDC - TaskQuestions:FamiliarityFamiliar:DiagnosisASD)",
"DifferenceInDifferenceSubjectVariabilityMatchingGameBiggerQuestions")
# Overall Visit Variability across visits in Autism Group
VisitVariabilityASDOverall <- extract_relevant_sdvisit_data(ChildLatency_m1,
"(DiagnosisASD:TaskMatchingGame:FamiliarityFamiliar + DiagnosisASD:TaskQuestions:FamiliarityFamiliar + DiagnosisASD:TaskQuestions:FamiliarityUnfamiliar)/3 > 0",
"VisitVariabilityASDOverall")
# Overall Visit Variability across visits in TD Group
VisitVariabilityTDCOverall <- extract_relevant_sdvisit_data(ChildLatency_m1,
"(DiagnosisTDC:TaskMatchingGame:FamiliarityFamiliar + DiagnosisTDC:TaskQuestions:FamiliarityFamiliar + DiagnosisTDC:TaskQuestions:FamiliarityUnfamiliar)/3 > 0",
"VisitVariabilityTDCOverall")
VisitVariabilityASDOverallHigherTDSOverall <- extract_relevant_sdvisit_data(ChildLatency_m1,
"(DiagnosisASD:TaskMatchingGame:FamiliarityFamiliar + DiagnosisASD:TaskQuestions:FamiliarityFamiliar + DiagnosisASD:TaskQuestions:FamiliarityUnfamiliar)/3 >
(DiagnosisTDC:TaskMatchingGame:FamiliarityFamiliar + DiagnosisTDC:TaskQuestions:FamiliarityFamiliar + DiagnosisTDC:TaskQuestions:FamiliarityUnfamiliar)/3",
"VisitVariabilityASDOverallLowerTDSOverall")
# Subject Variability across visits MG in Autism Group
VisitVariabilityASDMG <- extract_relevant_sdvisit_data(ChildLatency_m1,
"DiagnosisASD:TaskMatchingGame:FamiliarityFamiliar > 0",
"VisitVariabilityASDMG")
# Overall Subject Variability across visits in TD Group
VisitVariabilityTDMG <- extract_relevant_sdvisit_data(ChildLatency_m1,
"DiagnosisTDC:TaskMatchingGame:FamiliarityFamiliar > 0",
"VisitVariabilityTDMG")
# Subject Variability across visits MG in Autism Group
VisitVariabilityASD_Q_F <- extract_relevant_sdvisit_data(ChildLatency_m1,
"DiagnosisASD:TaskQuestions:FamiliarityFamiliar > 0",
"VisitVariabilityASD_Q_F")
# Overall Subject Variability across visits in TD Group
VisitVariabilityTDC_Q_F <- extract_relevant_sdvisit_data(ChildLatency_m1,
"DiagnosisTDC:TaskQuestions:FamiliarityFamiliar > 0",
"VisitVariabilityTDC_Q_F")
# Subject Variability across visits MG in Autism Group
VisitVariabilityASD_Q_UF <- extract_relevant_sdvisit_data(ChildLatency_m1,
"DiagnosisASD:TaskQuestions:FamiliarityUnfamiliar > 0",
"VisitVariabilityASD_Q_UF")
# Overall Subject Variability across visits in TD Group
VisitVariabilityTDC_Q_UF <- extract_relevant_sdvisit_data(ChildLatency_m1,
"DiagnosisTDC:TaskQuestions:FamiliarityUnfamiliar > 0",
"VisitVariabilityTDC_Q_UF")
# Overall Subject Variability across visits, differences
VisitVariabilityASDMGSlowerThanTDMG <- extract_relevant_sdvisit_data(ChildLatency_m1,
"DiagnosisTDC:TaskMatchingGame:FamiliarityFamiliar < DiagnosisASD:TaskMatchingGame:FamiliarityFamiliar",
"VisitVariabilityASDMG>TDMG")
# Overall Subject Variability across visits, differences
VisitVariabilityASD_Q_F_SlowerThanTD_Q_F <- extract_relevant_sdvisit_data(ChildLatency_m1,
"DiagnosisASD:TaskQuestions:FamiliarityFamiliar > DiagnosisTDC:TaskQuestions:FamiliarityFamiliar",
"VisitVariabilityASD_Q_F_SlowerThanTD_Q_F")
# Overall Subject Variability across visits, differences
VisitVariabilityASD_Q_UF_SlowerThanTD_Q_UF <- extract_relevant_sdvisit_data(ChildLatency_m1,
"DiagnosisASD:TaskQuestions:FamiliarityUnfamiliar < DiagnosisTDC:TaskQuestions:FamiliarityUnfamiliar",
"VisitVariabilityASD_Q_UF_SlowerThanTD_Q_UF")
#DifferenceInDifference:
DifferenceInDifferenceVisitVariabilityASDFamiliarityTDUnfamiliarity <- extract_relevant_sdvisit_data(ChildLatency_m1,
"(DiagnosisASD:TaskQuestions:FamiliarityUnfamiliar - DiagnosisTDC:TaskQuestions:FamiliarityUnfamiliar)
< (DiagnosisASD:TaskQuestions:FamiliarityFamiliar - DiagnosisTDC:TaskQuestions:FamiliarityFamiliar)",
"DifferenceInDifferenceVisitVariabilityASDFamiliarityTDUnfamiliarity")
DifferenceInDifferenceVisitVariabilityASDMGSmallerThanTDMG <- extract_relevant_sdvisit_data(ChildLatency_m1,
"(DiagnosisASD:TaskMatchingGame:FamiliarityFamiliar - DiagnosisTDC:TaskMatchingGame:FamiliarityFamiliar)
> (DiagnosisASD:TaskQuestions:FamiliarityFamiliar - DiagnosisTDC:TaskQuestions:FamiliarityFamiliar)",
"DifferenceInDifferenceVisitVariabilityASDMGSmallerThanTDMG")
# Overall Sigma Variability across visits in Autism Group
SigmaASDOverall <- extract_relevant_sigma_data(ChildLatency_m1,
"(sigma_DiagnosisASD:TaskMatchingGame:FamiliarityFamiliar + sigma_DiagnosisASD:TaskQuestions:FamiliarityFamiliar + sigma_DiagnosisASD:TaskQuestions:FamiliarityUnfamiliar)/3 < 0",
"SigmaASDOverall")
# Overall Sigma Variability across visits in TD Group
SigmaTDCOverall <- extract_relevant_sigma_data(ChildLatency_m1,
"(sigma_DiagnosisTDC:TaskMatchingGame:FamiliarityFamiliar + sigma_DiagnosisTDC:TaskQuestions:FamiliarityFamiliar + sigma_DiagnosisTDC:TaskQuestions:FamiliarityUnfamiliar) /3 < 0",
"SigmaTDCOverall")
SigmaASDOverallHigherTDSOverall <- extract_relevant_nonlatency_data(ChildLatency_m1,
"(sigma_DiagnosisASD:TaskMatchingGame:FamiliarityFamiliar + sigma_DiagnosisASD:TaskQuestions:FamiliarityFamiliar + sigma_DiagnosisASD:TaskQuestions:FamiliarityUnfamiliar)/3 >
(sigma_DiagnosisTDC:TaskMatchingGame:FamiliarityFamiliar + sigma_DiagnosisTDC:TaskQuestions:FamiliarityFamiliar + sigma_DiagnosisTDC:TaskQuestions:FamiliarityUnfamiliar)/3",
"SigmaASDOverallHigherTDSOverall")
# Subject Variability across visits MG in Autism Group
SigmaASDMG <- extract_relevant_sigma_data(ChildLatency_m1,
"sigma_DiagnosisASD:TaskMatchingGame:FamiliarityFamiliar < 0",
"SigmaASDMG")
# Overall Subject Variability across visits in TD Group
SigmaTDMG <- extract_relevant_sigma_data(ChildLatency_m1,
"sigma_DiagnosisTDC:TaskMatchingGame:FamiliarityFamiliar < 0",
"SigmaTDMG")
# Subject Variability across visits MG in Autism Group
SigmaASD_Q_F <- extract_relevant_sigma_data(ChildLatency_m1,
"sigma_DiagnosisASD:TaskQuestions:FamiliarityFamiliar < 0",
"SigmaASD_Q_F")
# Overall Subject Variability across visits in TD Group
SigmaTDC_Q_F <- extract_relevant_sigma_data(ChildLatency_m1,
"sigma_DiagnosisTDC:TaskQuestions:FamiliarityFamiliar < 0",
"SigmaTDC_Q_F")
# Subject Variability across visits MG in Autism Group
SigmaASD_Q_UF <- extract_relevant_sigma_data(ChildLatency_m1,
"sigma_DiagnosisASD:TaskQuestions:FamiliarityUnfamiliar < 0 ",
"SigmaASD_Q_UF")
# Overall Subject Variability across visits in TD Group
SigmaTDC_Q_UF <- extract_relevant_sigma_data(ChildLatency_m1,
"sigma_DiagnosisTDC:TaskQuestions:FamiliarityUnfamiliar < 0",
"SigmaTDC_Q_UF")
# Overall Subject Variability across visits, differences
SigmaASDMGSlowerThanTDMG <- extract_relevant_nonlatency_data(ChildLatency_m1,
"sigma_DiagnosisASD:TaskMatchingGame:FamiliarityFamiliar > sigma_DiagnosisTDC:TaskMatchingGame:FamiliarityFamiliar",
"SigmaASDMGSlowerThanTDMG")
# Overall Subject Variability across visits, differences
SigmaASD_Q_F_SlowerThanTD_Q_F <- extract_relevant_nonlatency_data(ChildLatency_m1,
"sigma_DiagnosisASD:TaskQuestions:FamiliarityFamiliar < sigma_DiagnosisTDC:TaskQuestions:FamiliarityFamiliar",
"SigmaASD_Q_F_SlowerThanTD_Q_F")
# Overall Subject Variability across visits, differences
SigmaASD_Q_UF_SlowerThanTD_Q_UF <- extract_relevant_nonlatency_data(ChildLatency_m1,
"sigma_DiagnosisASD:TaskQuestions:FamiliarityUnfamiliar > sigma_DiagnosisTDC:TaskQuestions:FamiliarityUnfamiliar",
"SigmaASD_Q_UF_SlowerThanTD_Q_UF")
# Sigma across visits, differences
SigmaASD_MG_VisitLowerZero <- extract_relevant_nonlatency_data(ChildLatency_m1,
"sigma_DiagnosisASD:TaskMatchingGame:FamiliarityFamiliar:Visit < 0",
"SigmaASD_MG_VisitLowerZero")
SigmaTDC_MG_VisitLowerZero <- extract_relevant_nonlatency_data(ChildLatency_m1,
"sigma_DiagnosisTDC:TaskMatchingGame:FamiliarityFamiliar:Visit > 0",
"SigmaTDC_MG_VisitLowerZero")
SigmaASD_MG_VisitLowerTDC <- extract_relevant_nonlatency_data(ChildLatency_m1,
"sigma_DiagnosisASD:TaskMatchingGame:FamiliarityFamiliar:Visit < sigma_DiagnosisTDC:TaskMatchingGame:FamiliarityFamiliar:Visit",
"SigmaASD_MG_VisitLowerTDC")
SigmaASD_Overall_VisitLowerZero <- extract_relevant_nonlatency_data(ChildLatency_m1,
"(sigma_DiagnosisASD:TaskMatchingGame:FamiliarityFamiliar:Visit +
sigma_DiagnosisASD:TaskQuestions:FamiliarityFamiliar:Visit +
sigma_DiagnosisASD:TaskQuestions:FamiliarityUnfamiliar:Visit) / 3 < 0",
"SigmaASD_Overall_VisitLowerZero")
SigmaTDC_Overall_VisitLowerZero <- extract_relevant_nonlatency_data(ChildLatency_m1,
"(sigma_DiagnosisTDC:TaskMatchingGame:FamiliarityFamiliar:Visit +
sigma_DiagnosisTDC:TaskQuestions:FamiliarityFamiliar:Visit +
sigma_DiagnosisTDC:TaskQuestions:FamiliarityUnfamiliar:Visit) / 3 < 0",
"SigmaTDC_Overall_VisitLowerZero")
# Sigma across visits, differences
SigmaASD_Q_F_VisitLowerZero <- extract_relevant_nonlatency_data(ChildLatency_m1,
"sigma_DiagnosisASD:TaskQuestions:FamiliarityFamiliar:Visit > 0",
"SigmaASD_Q_F_VisitLowerZero")
SigmaTDC_Q_F_VisitLowerZero <- extract_relevant_nonlatency_data(ChildLatency_m1,
"sigma_DiagnosisTDC:TaskQuestions:FamiliarityFamiliar:Visit < 0",
"SigmaTDC_Q_F_VisitLowerZero")
SigmaASD_Q_F_VisitLowerTDC <- extract_relevant_nonlatency_data(ChildLatency_m1,
"sigma_DiagnosisASD:TaskQuestions:FamiliarityFamiliar:Visit > sigma_DiagnosisTDC:TaskMatchingGame:FamiliarityFamiliar:Visit",
"SigmaASD_Q_F_VisitLowerTDC")
# Sigma across visits, differences
SigmaASD_Q_UF_VisitLowerZero <- extract_relevant_nonlatency_data(ChildLatency_m1,
"sigma_DiagnosisASD:TaskQuestions:FamiliarityUnfamiliar:Visit < 0",
"SigmaASD_Q_UF_VisitLowerZero")
SigmaTDC_Q_UF_VisitLowerZero <- extract_relevant_nonlatency_data(ChildLatency_m1,
"sigma_DiagnosisTDC:TaskQuestions:FamiliarityUnfamiliar:Visit > 0",
"SigmaTDC_Q_UF_VisitLowerZero")
SigmaASD_Q_UF_VisitLowerTDC <- extract_relevant_nonlatency_data(ChildLatency_m1,
"sigma_DiagnosisASD:TaskQuestions:FamiliarityUnfamiliar:Visit < sigma_DiagnosisTDC:TaskMatchingGame:FamiliarityFamiliar:Visit",
"SigmaASD_Q_UF_VisitLowerTDC")
SigmaVisitOverall_ASDLowerTDC <- extract_relevant_nonlatency_data(ChildLatency_m1,
"(sigma_DiagnosisASD:TaskMatchingGame:FamiliarityFamiliar:Visit +
sigma_DiagnosisASD:TaskQuestions:FamiliarityFamiliar:Visit +
sigma_DiagnosisASD:TaskQuestions:FamiliarityUnfamiliar:Visit) / 3 > (sigma_DiagnosisTDC:TaskMatchingGame:FamiliarityFamiliar:Visit +
sigma_DiagnosisTDC:TaskQuestions:FamiliarityFamiliar:Visit +
sigma_DiagnosisTDC:TaskQuestions:FamiliarityUnfamiliar:Visit) /3",
"SigmaVisitOverall_ASDLowerTDC")
#DifferenceInDifference:
DifferenceInDifferenceSigmaASDFamiliarityBiggerTDUnfamiliarity <- extract_relevant_nonlatency_data(ChildLatency_m1,
"(sigma_DiagnosisASD:TaskQuestions:FamiliarityUnfamiliar - sigma_DiagnosisTDC:TaskQuestions:FamiliarityUnfamiliar)
> (sigma_DiagnosisASD:TaskQuestions:FamiliarityFamiliar - sigma_DiagnosisTDC:TaskQuestions:FamiliarityFamiliar)",
"DifferenceInDifferenceSigmaASDFamiliarityBiggerTDUnfamiliarity")
DifferenceInDifferenceSigmaASDMGSmallerThanTDMG <- extract_relevant_nonlatency_data(ChildLatency_m1,
"(sigma_DiagnosisASD:TaskMatchingGame:FamiliarityFamiliar - sigma_DiagnosisTDC:TaskMatchingGame:FamiliarityFamiliar)
> (sigma_DiagnosisASD:TaskQuestions:FamiliarityFamiliar - sigma_DiagnosisTDC:TaskQuestions:FamiliarityFamiliar)",
"DifferenceInDifferenceSigmaASDMGSmallerThanTDMG")
#WithinGroups
WithinGroupSigmaASD_Q_F_Faster_UF <- extract_relevant_nonlatency_data(ChildLatency_m1,
"sigma_DiagnosisASD:TaskQuestions:FamiliarityUnfamiliar > sigma_DiagnosisASD:TaskQuestions:FamiliarityFamiliar ",
"WithinGroupSigmaASD_Q_FFaster_UF")
WithinGroupSigmaTDC_Q_F_Faster_UF <- extract_relevant_nonlatency_data(ChildLatency_m1,
"sigma_DiagnosisTDC:TaskQuestions:FamiliarityUnfamiliar > sigma_DiagnosisTDC:TaskQuestions:FamiliarityFamiliar ",
"WithinGroupSigmaTDC_Q_F_Faster_UF")
WithinGroupSigmaASD_Q_F_Faster_MG <- extract_relevant_nonlatency_data(ChildLatency_m1,
"sigma_DiagnosisASD:TaskMatchingGame:FamiliarityFamiliar > sigma_DiagnosisASD:TaskQuestions:FamiliarityFamiliar ",
"WithinGroupSigmaASD_Q_F_Faster_MG")
WithinGroupSigmaTDC_Q_F_Faster_MG <- extract_relevant_nonlatency_data(ChildLatency_m1,
"sigma_DiagnosisTDC:TaskMatchingGame:FamiliarityFamiliar < sigma_DiagnosisTDC:TaskQuestions:FamiliarityFamiliar ",
"WithinGroupSigmaTDC_Q_F_Faster_MG")
WithinGroupSigmaASD_Q_F_Lower_UF_Visit <- extract_relevant_nonlatency_data(ChildLatency_m1,
"sigma_DiagnosisASD:TaskQuestions:FamiliarityUnfamiliar:Visit < sigma_DiagnosisASD:TaskQuestions:FamiliarityFamiliar:Visit",
"WithinGroupSigmaASD_Q_F_Lower_UF_Visit")
WithinGroupSigmaTDC_Q_F_Lower_UF_Visit <- extract_relevant_nonlatency_data(ChildLatency_m1,
"sigma_DiagnosisTDC:TaskQuestions:FamiliarityUnfamiliar:Visit > sigma_DiagnosisTDC:TaskQuestions:FamiliarityFamiliar:Visit",
"WithinGroupSigmaTDC_Q_F_Lower_UF_Visit")
WithinGroupSigmaASD_Q_F_Lower_MG_Visit <- extract_relevant_nonlatency_data(ChildLatency_m1,
"sigma_DiagnosisASD:TaskQuestions:FamiliarityUnfamiliar:Visit > sigma_DiagnosisASD:TaskMatchingGame:FamiliarityFamiliar:Visit",
"WithinGroupSigmaASD_Q_F_Lower_MG_Visit")
WithinGroupSigmaTDC_Q_F_Lower_MG_Visit <- extract_relevant_nonlatency_data(ChildLatency_m1,
"sigma_DiagnosisTDC:TaskQuestions:FamiliarityUnfamiliar:Visit > sigma_DiagnosisTDC:TaskMatchingGame:FamiliarityFamiliar:Visit",
"WithinGroupSigmaTDC_Q_F_Lower_MG_Visit")
SigmaTDC_Q_UF_VisitLowerZero <- extract_relevant_nonlatency_data(ChildLatency_m1,
"sigma_DiagnosisTDC:TaskQuestions:FamiliarityUnfamiliar:Visit > 0",
"SigmaTDC_Q_UF_VisitLowerZero")
SigmaASD_Q_UF_VisitLowerTDC <- extract_relevant_nonlatency_data(ChildLatency_m1,
"sigma_DiagnosisASD:TaskQuestions:FamiliarityUnfamiliar:Visit < sigma_DiagnosisTDC:TaskMatchingGame:FamiliarityFamiliar:Visit",
"SigmaASD_Q_UF_VisitLowerTDC")
DifferenceInDifferenceSigmaVisit_Q_F_Lower_Q_UF <- extract_relevant_nonlatency_data(ChildLatency_m1,
"(sigma_DiagnosisASD:TaskQuestions:FamiliarityUnfamiliar:Visit - sigma_DiagnosisTDC:TaskQuestions:FamiliarityUnfamiliar:Visit) <
(sigma_DiagnosisASD:TaskQuestions:FamiliarityFamiliar:Visit - sigma_DiagnosisTDC:TaskQuestions:FamiliarityFamiliar:Visit)", "DifferenceInDifferenceSigmaVisit_Q_F_Lower_Q_UF")
DifferenceInDifferenceSigmaVisit_MG_Lower_Q_F <- extract_relevant_nonlatency_data(ChildLatency_m1,
"(sigma_DiagnosisASD:TaskMatchingGame:FamiliarityFamiliar:Visit - sigma_DiagnosisTDC:TaskMatchingGame:FamiliarityFamiliar:Visit) <
(sigma_DiagnosisASD:TaskQuestions:FamiliarityFamiliar:Visit - sigma_DiagnosisTDC:TaskQuestions:FamiliarityFamiliar:Visit)", "DifferenceInDifferenceSigmaVisit_MG_Lower_Q_F")
# Correlation Estimates across visits in Autism Group
post <- as_draws_df(ChildLatency_m1)
# Apply the function for each case
cor_post_mu_MG_ASD <- Visitextract_and_rename(post, "DiagnosisASD", "TaskMatchingGame", "FamiliarityFamiliar") %>%
cor() %>%
as.matrix()
cor_post_mu_MG_TDC <- Visitextract_and_rename(post, "DiagnosisTDC", "TaskMatchingGame", "FamiliarityFamiliar") %>%
cor() %>%
as.matrix()
cor_post_mu_Q_ASD_Familiar <- Visitextract_and_rename(post, "DiagnosisASD", "TaskQuestions", "FamiliarityFamiliar") %>%
select(Visit2, Visit4, Visit6) %>%
cor() %>%
as.matrix()
cor_post_mu_Q_TDC_Familiar <- Visitextract_and_rename(post, "DiagnosisTDC", "TaskQuestions", "FamiliarityFamiliar") %>%
select(Visit2, Visit4, Visit6) %>%
cor() %>%
as.matrix()
cor_post_mu_Q_ASD_Unfamiliar <- Visitextract_and_rename(post, "DiagnosisASD", "TaskQuestions", "FamiliarityUnfamiliar") %>%
select(Visit1, Visit3, Visit5, Visit7) %>%
cor() %>%
as.matrix()
cor_post_mu_Q_TDC_Unfamiliar <- Visitextract_and_rename(post, "DiagnosisTDC", "TaskQuestions", "FamiliarityUnfamiliar") %>%
select(Visit1, Visit3, Visit5, Visit7) %>%
cor() %>%
as.matrix()
diag(cor_post_mu_MG_ASD) <- NA
diag(cor_post_mu_MG_TDC) <- NA
diag(cor_post_mu_Q_ASD_Familiar) <- NA
diag(cor_post_mu_Q_TDC_Familiar) <- NA
diag(cor_post_mu_Q_ASD_Unfamiliar) <- NA
diag(cor_post_mu_Q_TDC_Unfamiliar) <- NA
CorrelationSummaryStatistics <- tibble(
Estimate = c(mean(cor_post_mu_MG_ASD, na.rm = TRUE), mean(cor_post_mu_Q_ASD_Familiar, na.rm = TRUE), mean(cor_post_mu_Q_ASD_Unfamiliar, na.rm = TRUE),
mean(cor_post_mu_MG_TDC, na.rm = TRUE), mean(cor_post_mu_Q_TDC_Familiar, na.rm = TRUE), mean(cor_post_mu_Q_TDC_Unfamiliar, na.rm = TRUE)),
CI.Lower = c(quantile(cor_post_mu_MG_ASD, probs = 0.025, na.rm = TRUE), quantile(cor_post_mu_Q_ASD_Familiar, probs = 0.025, na.rm = TRUE), quantile(cor_post_mu_Q_ASD_Unfamiliar, probs = 0.025, na.rm = TRUE),
quantile(cor_post_mu_MG_TDC, probs = 0.025, na.rm = TRUE), quantile(cor_post_mu_Q_TDC_Familiar, probs = 0.025, na.rm = TRUE), quantile(cor_post_mu_Q_TDC_Unfamiliar, probs = 0.025, na.rm = TRUE)),
CI.Upper = c(quantile(cor_post_mu_MG_ASD, probs = 0.975, na.rm = TRUE), quantile(cor_post_mu_Q_ASD_Familiar, probs = 0.975, na.rm = TRUE), quantile(cor_post_mu_Q_ASD_Unfamiliar, probs = 0.975, na.rm = TRUE),
quantile(cor_post_mu_MG_TDC, probs = 0.975, na.rm = TRUE), quantile(cor_post_mu_Q_TDC_Familiar, probs = 0.975, na.rm = TRUE), quantile(cor_post_mu_Q_TDC_Unfamiliar, probs = 0.975, na.rm = TRUE)),
Evid.Ratio = c(NA, NA, NA, NA, NA, NA),
TestDescription = c(
"CorrelationAcrossVisitsASDMG", "CorrelationAcrossVisitsASDFamiliarQuestions", "CorrelationAcrossVisitsASDUnfamiliarQuestions",
"CorrelationAcrossVisitsTDMG", "CorrelationAcrossVisitsTDFamiliarQuestions", "CorrelationAcrossVisitsTDUnfamiliarQuestions"),
)
HypothesisResultsChildLatenciesModel1 <- rbind(OverallLatencyThreeConditionsASD,
OverallLatencyThreeConditionsTD,
MGOverallLatencyASD,
Q_F_OverallLatencyASD,
Q_UF_OverallLatencyASD,
MGOverallLatencyTDC,
Q_F_OverallLatencyTDC,
Q_UF_OverallLatencyTDC,
BetaParameterASD_MG,
BetaParameterASD_Q_F,
BetaParameterASD_Q_UF,
BetaParameterASD_Overall,
BetaParameterTDC_MG,
BetaParameterTDC_Q_F,
BetaParameterTDC_Q_UF,
BetaParameterTDC_Overall,
OverallBetaParameterASDLowerTD,
BetaParameterASDFasterTD_MG,
BetaParameterASDFasterTD_Q_F,
BetaParameterASDFasterTD_Q_UF,
WithinGroupBetaParameterASD_MG_Slower_Q_F,
WithinGroupBetaParameterTDC_MG_Slower_Q_F,
DifferenceInDifferenceBetaParameterBetweenGroupsMGBiggerQ_F,
WithinGroupBetaParameterASD_Q_F_Slower_Q_UF,
WithinGroupBetaParameterTDC_Q_F_Slower_Q_UF,
DifferenceInDifferenceBetaParameterBetweenGroupsFamiliarityBiggerUnfamiliarity,
OverallLatencyThreeConditionsASDFasterTD,
WithinASDGroupMGSlowerQuestionsFamiliar,
WithinTDGroupMGSlowerQuestionsFamiliar,
WithinAutismGroupQuestionsUnfamiliarSlowerFamiliar,
WithinTDGroupQuestionsUnfamiliarSlowerFamiliar,
WithinConditionsMatchingGameASDFasterTD,
WithinConditionsQuestionsFamiliarASDFasterTD,
WithinConditionsQuestionsUnfamiliarASDFasterTD,
DifferenceInDifferenceBetweenGroupsUnfamiliarBiggerFamiliarity,
DifferenceInDifferenceBetweenGroupsMGBiggerThanConversations,
SubjectVariabilityASD,
SubjectVariabilityTD,
SubjectVariabilityASDSmallerThanTD,
SubjectVariabilityASD_MG,
SubjectVariabilityASD_Q_F,
SubjectVariabilityASD_Q_UF,
SubjectVariabilityTD_MG,
SubjectVariabilityTD_Q_F,
SubjectVariabilityTD_Q_UF,
SubjectVariabilityASDSmallerThanTD_MG,
SubjectVariabilityASDSmallerThanTD_Q_F,
SubjectVariabilityASDSmallerThanTD_Q_UF,
SubjectVariabilityASD_MG_SmallerThan_Q_F,
SubjectVariabilityASD_Q_F_SmallerThan_Q_UF,
SubjectVariabilityTDC_MG_SmallerThan_Q_F,
SubjectVariabilityTDC_Q_F_SmallerThan_Q_UF,
DifferenceInDifferenceSubjectVariabilityUnfamiliarSmallerFamiliarity,
DifferenceInDifferenceSubjectVariabilityMatchingGameBiggerQuestions,
VisitVariabilityASDMG,
VisitVariabilityTDMG,
VisitVariabilityASD_Q_F,
VisitVariabilityTDC_Q_F,
VisitVariabilityASD_Q_UF,
VisitVariabilityTDC_Q_UF,
VisitVariabilityASDOverall,
VisitVariabilityTDCOverall,
VisitVariabilityASDMGSlowerThanTDMG,
VisitVariabilityASD_Q_F_SlowerThanTD_Q_F,
VisitVariabilityASD_Q_UF_SlowerThanTD_Q_UF,
VisitVariabilityASDOverallHigherTDSOverall,
DifferenceInDifferenceVisitVariabilityASDMGSmallerThanTDMG,
DifferenceInDifferenceVisitVariabilityASDFamiliarityTDUnfamiliarity,
SigmaASDOverall,
SigmaTDCOverall,
SigmaASDOverallHigherTDSOverall,
SigmaASDMG,
SigmaTDMG,
SigmaASD_Q_F,
SigmaTDC_Q_F,
SigmaASD_Q_UF,
SigmaTDC_Q_UF,
SigmaASDMGSlowerThanTDMG,
SigmaASD_Q_F_SlowerThanTD_Q_F,
SigmaASD_Q_UF_SlowerThanTD_Q_UF,
SigmaASD_MG_VisitLowerZero,
SigmaTDC_MG_VisitLowerZero,
SigmaASD_MG_VisitLowerTDC,
SigmaASD_Q_F_VisitLowerZero,
SigmaTDC_Q_F_VisitLowerZero,
SigmaASD_Q_F_VisitLowerTDC,
SigmaASD_Q_UF_VisitLowerZero,
SigmaTDC_Q_UF_VisitLowerZero,
SigmaASD_Q_UF_VisitLowerTDC,
SigmaASD_Overall_VisitLowerZero,
SigmaTDC_Overall_VisitLowerZero,
WithinGroupSigmaASD_Q_F_Lower_UF_Visit,
WithinGroupSigmaTDC_Q_F_Lower_UF_Visit,
WithinGroupSigmaASD_Q_F_Lower_MG_Visit,
WithinGroupSigmaTDC_Q_F_Lower_MG_Visit,
WithinGroupSigmaASD_Q_F_Faster_UF,
WithinGroupSigmaTDC_Q_F_Faster_UF,
WithinGroupSigmaASD_Q_F_Faster_MG,
WithinGroupSigmaTDC_Q_F_Faster_MG,
SigmaVisitOverall_ASDLowerTDC,
DifferenceInDifferenceSigmaVisit_Q_F_Lower_Q_UF,
DifferenceInDifferenceSigmaVisit_MG_Lower_Q_F,
DifferenceInDifferenceSigmaASDFamiliarityBiggerTDUnfamiliarity,
DifferenceInDifferenceSigmaASDMGSmallerThanTDMG,
CorrelationSummaryStatistics) %>%
rename("value" = TestDescription) %>%
mutate(Evid.Ratio = round(Evid.Ratio, 1)) %>%
mutate(
Estimate = case_when(Estimate > 5 ~ round(Estimate, 0), TRUE ~ round(Estimate, 2)),
Estimate = case_when(Estimate < -5 ~ round(Estimate, 0), TRUE ~ round(Estimate, 2)),
CI.Lower = case_when(CI.Lower > 5 ~ round(CI.Lower, 0), TRUE ~ round(CI.Lower, 2)),
CI.Upper = case_when(CI.Lower > 5 ~ round(CI.Upper, 0), TRUE ~ round(CI.Upper, 2)),
CI.Lower = case_when(CI.Lower < -5 ~ round(CI.Lower, 0), TRUE ~ round(CI.Lower, 2)),
CI.Upper = case_when(CI.Lower < -5 ~ round(CI.Upper, 0), TRUE ~ round(CI.Upper, 2)))
write.csv(HypothesisResultsChildLatenciesModel1, here('VBMTurnTakingFiles/stats_for_paper/model1_child_stats_for_paper.csv'))
```
## Visualisation of Model Estimates
```{r}
newdata <- subset(d, InterTurn == "Child2Adult") %>%
group_by(ID, Diagnosis, Task, Familiarity, Visit) %>%
dplyr::summarise(n = n()) %>%
select(-n)
C2P_PredictedData <- as_tibble(predict(ChildLatency_m1, newdata = newdata)) %>%
mutate(Visit = newdata$Visit) %>%
mutate(Diagnosis = newdata$Diagnosis) %>%
mutate(ID = newdata$ID) %>%
mutate(Familiarity = newdata$Familiarity) %>%
mutate(Task = newdata$Task) %>%
mutate(size = Q97.5-Q2.5) %>%
mutate(Diagnosis = ifelse(Diagnosis == "ASD", "Autism Group", "Typical Development")) %>%
group_by(Diagnosis, ID, Familiarity, Task) %>%
dplyr::summarise(Estimate = mean(Estimate)) %>%
mutate(Condition = case_when(
Familiarity == "Familiar" & Task == "MatchingGame" ~ "Matching With Parent",
Familiarity == "Familiar" & Task == "Questions" ~ "Convo With Parent",
Familiarity == "Unfamiliar" & Task == "Questions" ~ "Convo With Experimenter")) %>%
mutate(Condition = factor(Condition, levels = c("Convo With Experimenter", "Convo With Parent", "Matching With Parent")))
Posterior_df <- as_draws_df(ChildLatency_m1)
condition_posterior_TDC_MG <- Posterior_df[,"b_DiagnosisTDC:TaskMatchingGame:FamiliarityFamiliar"] %>%
mutate(Familiarity = "Familiar",
Task = "MatchingGame",
Diagnosis = "TDC") %>%
rename("Estimate" = `b_DiagnosisTDC:TaskMatchingGame:FamiliarityFamiliar`) %>%
mutate(Diagnosis = ifelse(Diagnosis == "ASD", "Autism Group", "Typical Development")) %>%
mutate(Condition = case_when(
Familiarity == "Familiar" & Task == "MatchingGame" ~ "Matching With Parent",
Familiarity == "Familiar" & Task == "Questions" ~ "Convo With Parent",
Familiarity == "Unfamiliar" & Task == "Questions" ~ "Convo With Experimenter")) %>%
mutate(Condition = factor(Condition, levels = c("Convo With Experimenter", "Convo With Parent", "Matching With Parent")))
condition_posterior_ASD_MG <- Posterior_df[,"b_DiagnosisASD:TaskMatchingGame:FamiliarityFamiliar"] %>%
mutate(Familiarity = "Familiar",
Task = "MatchingGame",
Diagnosis = "ASD") %>%
rename("Estimate" = `b_DiagnosisASD:TaskMatchingGame:FamiliarityFamiliar`) %>%
mutate(Diagnosis = ifelse(Diagnosis == "ASD", "Autism Group", "Typical Development")) %>%
mutate(Condition = case_when(
Familiarity == "Familiar" & Task == "MatchingGame" ~ "Matching With Parent",
Familiarity == "Familiar" & Task == "Questions" ~ "Convo With Parent",
Familiarity == "Unfamiliar" & Task == "Questions" ~ "Convo With Experimenter")) %>%
mutate(Condition = factor(Condition, levels = c("Convo With Experimenter", "Convo With Parent", "Matching With Parent")))
condition_posterior_TDC_Q_F <- Posterior_df[,"b_DiagnosisTDC:TaskQuestions:FamiliarityFamiliar"] %>%
mutate(Familiarity = "Familiar",
Task = "Questions",
Diagnosis = "TDC") %>%
rename("Estimate" = `b_DiagnosisTDC:TaskQuestions:FamiliarityFamiliar`) %>%
mutate(Diagnosis = ifelse(Diagnosis == "ASD", "Autism Group", "Typical Development")) %>%
mutate(Condition = case_when(
Familiarity == "Familiar" & Task == "MatchingGame" ~ "Matching With Parent",
Familiarity == "Familiar" & Task == "Questions" ~ "Convo With Parent",
Familiarity == "Unfamiliar" & Task == "Questions" ~ "Convo With Experimenter")) %>%
mutate(Condition = factor(Condition, levels = c("Convo With Experimenter", "Convo With Parent", "Matching With Parent")))
condition_posterior_ASD_Q_F <- Posterior_df[,"b_DiagnosisASD:TaskQuestions:FamiliarityFamiliar"] %>%
mutate(Familiarity = "Familiar",
Task = "Questions",
Diagnosis = "ASD") %>%
rename("Estimate" = `b_DiagnosisASD:TaskQuestions:FamiliarityFamiliar`) %>%
mutate(Diagnosis = ifelse(Diagnosis == "ASD", "Autism Group", "Typical Development")) %>%
mutate(Condition = case_when(
Familiarity == "Familiar" & Task == "MatchingGame" ~ "Matching With Parent",
Familiarity == "Familiar" & Task == "Questions" ~ "Convo With Parent",
Familiarity == "Unfamiliar" & Task == "Questions" ~ "Convo With Experimenter")) %>%
mutate(Condition = factor(Condition, levels = c("Convo With Experimenter", "Convo With Parent", "Matching With Parent")))
condition_posterior_TDC_Q_UF <- Posterior_df[,"b_DiagnosisTDC:TaskQuestions:FamiliarityUnfamiliar"] %>%
mutate(Familiarity = "Unfamiliar",
Task = "Questions",
Diagnosis = "TDC") %>%
rename("Estimate" = `b_DiagnosisTDC:TaskQuestions:FamiliarityUnfamiliar`) %>%
mutate(Diagnosis = ifelse(Diagnosis == "ASD", "Autism Group", "Typical Development")) %>%
mutate(Condition = case_when(
Familiarity == "Familiar" & Task == "MatchingGame" ~ "Matching With Parent",
Familiarity == "Familiar" & Task == "Questions" ~ "Convo With Parent",
Familiarity == "Unfamiliar" & Task == "Questions" ~ "Convo With Experimenter")) %>%
mutate(Condition = factor(Condition, levels = c("Convo With Experimenter", "Convo With Parent", "Matching With Parent")))
condition_posterior_ASD_Q_UF <- Posterior_df[,"b_DiagnosisASD:TaskQuestions:FamiliarityUnfamiliar"] %>%
mutate(Familiarity = "Unfamiliar",
Task = "Questions",
Diagnosis = "ASD") %>%
rename("Estimate" = `b_DiagnosisASD:TaskQuestions:FamiliarityUnfamiliar`) %>%
mutate(Diagnosis = ifelse(Diagnosis == "ASD", "Autism Group", "Typical Development")) %>%
mutate(Condition = case_when(
Familiarity == "Familiar" & Task == "MatchingGame" ~ "Matching With Parent",
Familiarity == "Familiar" & Task == "Questions" ~ "Convo With Parent",
Familiarity == "Unfamiliar" & Task == "Questions" ~ "Convo With Experimenter")) %>%
mutate(Condition = factor(Condition, levels = c("Convo With Experimenter", "Convo With Parent", "Matching With Parent")))
posteriors <- rbind(condition_posterior_ASD_MG, condition_posterior_TDC_MG,
condition_posterior_ASD_Q_F, condition_posterior_TDC_Q_F,
condition_posterior_ASD_Q_UF, condition_posterior_TDC_Q_UF)
Model1_Plot_Child_Conditions <- ggplot() +
geom_rect(aes(xmin=-Inf, xmax = 1.47, ymin=-Inf, ymax=Inf), fill = "honeydew4", alpha = 0.3) +
geom_rect(aes(xmin=1.47, xmax = 2.48, ymin=-Inf, ymax=Inf), fill = "honeydew3", alpha = 0.3) +