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Right = sum(RIGHT),
Switch = sum(SWITCH),
Looks = sum(LOOKS)
) %>%
mutate(TLT = Left + Right,
PercLook = TLT/10000,
MLD = TLT/Looks,
SR = Switch/(TLT/1000),
CP = ifelse(ChangeSide == 'Left', Left/TLT, Right/TLT),
Both = ifelse(Left > 0 & Right > 0, 'Y', 'N'),
ToCode = ifelse(Both == 'N' | PercLook < .4, 'Y', 'N')) %>%
ungroup()
View(ETdata2)
ETdata2 <- ETd %>%
filter(task == task,
CURRENT_FIX_INTEREST_AREA_LABEL != '.') %>%
mutate(CURRENT_FIX_INTEREST_AREA_LABEL = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_IA', 'LEFT_BIA', CURRENT_FIX_INTEREST_AREA_LABEL),
CURRENT_FIX_INTEREST_AREA_LABEL = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_IA', 'RIGHT_BIA', CURRENT_FIX_INTEREST_AREA_LABEL)) %>%
mutate(LEFT = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_BIA', CURRENT_FIX_DURATION, 0),
RIGHT = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_BIA', CURRENT_FIX_DURATION, 0)) %>%
group_by(RECORDING_SESSION_LABEL, trial) %>%
mutate(LOOKS = 0) %>%
mutate(LOOKS = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL != lag(CURRENT_FIX_INTEREST_AREA_LABEL), 1, 0)) %>%
mutate(LOOKS = ifelse(is.na(LOOKS), 1, 0)) %>%
filter(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_BIA' | CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_BIA') %>%
mutate(SWITCH = 0 ) %>%
mutate(SWITCH = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == lag(CURRENT_FIX_INTEREST_AREA_LABEL), 0, 1)) %>%
mutate(SWITCH = ifelse(is.na(SWITCH), 0, 1))
View(ETdata2)
ETdata2 <- ETd %>%
filter(task == task,
CURRENT_FIX_INTEREST_AREA_LABEL != '.') %>%
mutate(CURRENT_FIX_INTEREST_AREA_LABEL = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_IA', 'LEFT_BIA', CURRENT_FIX_INTEREST_AREA_LABEL),
CURRENT_FIX_INTEREST_AREA_LABEL = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_IA', 'RIGHT_BIA', CURRENT_FIX_INTEREST_AREA_LABEL)) %>%
mutate(LEFT = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_BIA', CURRENT_FIX_DURATION, 0),
RIGHT = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_BIA', CURRENT_FIX_DURATION, 0)) %>%
group_by(RECORDING_SESSION_LABEL, trial) %>%
mutate(LOOKS = 0) %>%
mutate(LOOKS = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL != lag(CURRENT_FIX_INTEREST_AREA_LABEL), 1, 0)) %>%
mutate(LOOKS = ifelse(is.na(LOOKS), 1, LOOKS)) %>%
filter(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_BIA' | CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_BIA') %>%
mutate(SWITCH = 0 ) %>%
mutate(SWITCH = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == lag(CURRENT_FIX_INTEREST_AREA_LABEL), 0, 1)) %>%
mutate(SWITCH = ifelse(is.na(SWITCH), 0, SWITCH))
View(ETdata2)
ETdata2 <- ETd %>%
filter(task == task,
CURRENT_FIX_INTEREST_AREA_LABEL != '.') %>%
mutate(CURRENT_FIX_INTEREST_AREA_LABEL = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_IA', 'LEFT_BIA', CURRENT_FIX_INTEREST_AREA_LABEL),
CURRENT_FIX_INTEREST_AREA_LABEL = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_IA', 'RIGHT_BIA', CURRENT_FIX_INTEREST_AREA_LABEL)) %>%
mutate(LEFT = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_BIA', CURRENT_FIX_DURATION, 0),
RIGHT = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_BIA', CURRENT_FIX_DURATION, 0)) %>%
group_by(RECORDING_SESSION_LABEL, trial) %>%
mutate(LOOKS = 0) %>%
mutate(LOOKS = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL != lag(CURRENT_FIX_INTEREST_AREA_LABEL), 1, 0)) %>%
mutate(LOOKS = ifelse(is.na(LOOKS), 1, LOOKS)) %>%
filter(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_BIA' | CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_BIA') %>%
mutate(SWITCH = 0 ) %>%
mutate(SWITCH = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == lag(CURRENT_FIX_INTEREST_AREA_LABEL), 0, 1)) %>%
mutate(SWITCH = ifelse(is.na(SWITCH), 0, SWITCH)) %>%
summarise(ChangeSide = first(side),
Load = first(condition),
Left = sum(LEFT),
Right = sum(RIGHT),
Switch = sum(SWITCH),
Looks = sum(LOOKS)
) %>%
mutate(TLT = Left + Right,
PercLook = TLT/10000,
MLD = TLT/Looks,
SR = Switch/(TLT/1000),
CP = ifelse(ChangeSide == 'Left', Left/TLT, Right/TLT),
Both = ifelse(Left > 0 & Right > 0, 'Y', 'N'),
ToCode = ifelse(Both == 'N' | PercLook < .4, 'Y', 'N')) %>%
ungroup()
View(ETdata2)
ETdata2 <- ETd %>%
filter(task == task,
CURRENT_FIX_INTEREST_AREA_LABEL != '.') %>%
mutate(CURRENT_FIX_INTEREST_AREA_LABEL = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_IA', 'LEFT_BIA', CURRENT_FIX_INTEREST_AREA_LABEL),
CURRENT_FIX_INTEREST_AREA_LABEL = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_IA', 'RIGHT_BIA', CURRENT_FIX_INTEREST_AREA_LABEL)) %>%
mutate(LEFT = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_BIA', CURRENT_FIX_DURATION, 0),
RIGHT = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_BIA', CURRENT_FIX_DURATION, 0)) %>%
group_by(RECORDING_SESSION_LABEL, trial) %>%
mutate(LOOKS = 0) %>%
mutate(LOOKS = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL != lag(CURRENT_FIX_INTEREST_AREA_LABEL), 1, 0)) %>%
mutate(LOOKS = ifelse(is.na(LOOKS), 1, LOOKS))
View(ETdata2)
ETdata2 <- ETd %>%
filter(task == task,
CURRENT_FIX_INTEREST_AREA_LABEL != '.') %>%
mutate(CURRENT_FIX_INTEREST_AREA_LABEL = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_IA', 'LEFT_BIA', CURRENT_FIX_INTEREST_AREA_LABEL),
CURRENT_FIX_INTEREST_AREA_LABEL = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_IA', 'RIGHT_BIA', CURRENT_FIX_INTEREST_AREA_LABEL)) %>%
mutate(LEFT = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_BIA', CURRENT_FIX_DURATION, 0),
RIGHT = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_BIA', CURRENT_FIX_DURATION, 0)) %>%
group_by(RECORDING_SESSION_LABEL, trial) %>%
mutate(LOOKS = ifelse(CURRENT_FIX_RUN_INDEX ==1, 1, 0)) %>%
filter(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_BIA' | CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_BIA') %>%
mutate(SWITCH = 0 ) %>%
mutate(SWITCH = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == lag(CURRENT_FIX_INTEREST_AREA_LABEL), 0, 1)) %>%
mutate(SWITCH = ifelse(is.na(SWITCH), 0, SWITCH)) %>%
summarise(ChangeSide = first(side),
Load = first(condition),
Left = sum(LEFT),
Right = sum(RIGHT),
Switch = sum(SWITCH),
Looks = sum(LOOKS)
) %>%
mutate(TLT = Left + Right,
PercLook = TLT/10000,
MLD = TLT/Looks,
SR = Switch/(TLT/1000),
CP = ifelse(ChangeSide == 'Left', Left/TLT, Right/TLT),
Both = ifelse(Left > 0 & Right > 0, 'Y', 'N'),
ToCode = ifelse(Both == 'N' | PercLook < .4, 'Y', 'N')) %>%
ungroup()
View(ETdata2)
library(DDLab)
library(readr)
library(tidyr)
library(dplyr)
library(DDLab)
etfile <- read_csv('/Volumes/DDLab/Projects/India_GatesPhase2/Behavioural Analysis/YEAR 2/Round_1&2_Year_2/R1_R2_Y2_DataViewer/Output/R1_R2_Y2_Fixation_Report_to_use.csv')
et_out <- create_ET_trial_data(etfile, 'VWM', write = F)
#write_csv(et_out, 'Kiaras_exported_data.csv')
# Behavioural
dvfile <- read_csv('/Volumes/DDLabAV/Projects/India_GatesPhase2/Exported/18/NEW/06IND001B.csv')
dv_out <- create_datavyu_trial_data(dvfile, write = F)
ET = et_out
DV = dv_out
all <- full_join(DV, ET)
View(all)
all2 <- all %>%
arrange(ID, Trial) %>%
group_by(ID, Trial) %>%
mutate(remove = ifelse((ToCode == 'Coded' & lead(ToCode) == 'N') | (ToCode == 'Y' & lag(ToCode) == 'Coded'),
'Y', 'N')) %>%
mutate(remove = ifelse(is.na(remove), 'N', remove))
View(all2)
View(dvfile)
View(etfile)
View(etfile)
zero <- filter(etfile, RECORDING_SESSION_LABEL == "06001b11")
View(zero)
View(all2)
data = dvfile
idx <- which(duplicated(names(data)))
if(length(idx) > 0){
warning('You have multiple columns with the same name. We shall proceed anyway, but you may wish to remove and try again!')
data <- data[,-idx]
}
if('TrialLook.looking_direction' %in% names(data)){
dvdata <- data %>%
mutate(direction = TrialLook.looking_direction)
}else{if('TrialLook.looking_code01' %in% names(data)){
dvdata <- data %>%
mutate(direction = TrialLook.looking_code01)
}else{
dvdata <- data %>%
mutate(direction = Looking.direction)
}
}
View(dvdata)
if('ID.run' %in% names(data)){
dvdata <- dvdata %>%
rename(SubID.SUBID = ID.run,
SubID.onset = ID.onset,
#TrialLook.onset = Looking.onset,
#TrialLook.offset = Looking.offset,
TrialLook.trials_trialnum = TrialLook.trials_trial)
}
dvsubj <- dvdata %>%
select(SubID.SUBID, SubID.onset) %>%
rename(TrialLook.offset = SubID.onset) %>%
filter(!is.na(SubID.SUBID))
dvsubj <- dvdata %>%
select(SubID.SUBID, SubID.onset) %>%
rename(TrialLook.offset = SubID.onset) %>%
filter(!is.na(SubID.SUBID))
dvdata2 <- dvdata %>%
mutate(Trial = TrialLook.trials_trialnum,
Load = TrialLook.trials_ss,
ChangeSide = TrialLook.trials_changeside) %>%
filter(!is.na(Trial)) %>%
rename(Direction = direction) %>%
mutate(Direction = stringr::str_to_upper(Direction),
ChangeSide = stringr::str_to_upper(ChangeSide)) %>%
mutate(Duration = TrialLook.offset - TrialLook.onset,
Left = ifelse(Direction == 'R', Duration, 0),
Right = ifelse(Direction == 'L', Duration, 0))
View(etfile)
ETdata2 <- ETd %>%
filter(task == task,
CURRENT_FIX_INTEREST_AREA_LABEL != '.') %>%
mutate(CURRENT_FIX_INTEREST_AREA_LABEL = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_IA', 'LEFT_BIA', CURRENT_FIX_INTEREST_AREA_LABEL),
CURRENT_FIX_INTEREST_AREA_LABEL = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_IA', 'RIGHT_BIA', CURRENT_FIX_INTEREST_AREA_LABEL)) %>%
mutate(LEFT = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_BIA', CURRENT_FIX_DURATION, 0),
RIGHT = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_BIA', CURRENT_FIX_DURATION, 0)) %>%
group_by(RECORDING_SESSION_LABEL, trial) %>%
mutate(LOOKS = ifelse(CURRENT_FIX_RUN_INDEX ==1, 1, 0)) %>%
filter(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_BIA' | CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_BIA') %>%
mutate(SWITCH = 0 ) %>%
mutate(SWITCH = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == lag(CURRENT_FIX_INTEREST_AREA_LABEL), 0, 1)) %>%
mutate(SWITCH = ifelse(is.na(SWITCH), 0, SWITCH)) %>%
summarise(ChangeSide = first(side),
Load = first(condition),
Left = sum(LEFT),
Right = sum(RIGHT),
Switch = sum(SWITCH),
Looks = sum(LOOKS)
) %>%
mutate(TLT = Left + Right,
PercLook = TLT/10000,
MLD = TLT/Looks,
SR = Switch/(TLT/1000),
CP = ifelse(ChangeSide == 'Left', Left/TLT, Right/TLT),
Both = ifelse(Left > 0 & Right > 0, 'Y', 'N'),
ToCode = ifelse(Both == 'N' | PercLook < .4, 'Y', 'N')) %>%
ungroup()
View(ETdata2)
View(dvfile)
dvdata2$ChangeSide[1]
dvdata2$ChangeSide[3]
length(dvdata2$ChangeSide[3])
library(DDLab)
etfile <- read_csv('/Volumes/DDLab/Projects/India_GatesPhase2/Behavioural Analysis/YEAR 2/Round_1&2_Year_2/R1_R2_Y2_DataViewer/Output/R1_R2_Y2_Fixation_Report_to_use.csv')
et_out <- create_ET_trial_data(etfile, 'VWM', write = F)
dvfile <- read_csv('/Volumes/DDLabAV/Projects/India_GatesPhase2/Exported/18/NEW/06IND001B.csv')
dv_out <- create_datavyu_trial_data(dvfile, write = F)
ET = et_out
DV = dv_out
all <- full_join(DV, ET)
View(all)
all2 <- all %>%
arrange(ID, Trial) %>%
group_by(ID, Trial) %>%
mutate(remove = ifelse((ToCode == 'Coded' & lead(ToCode) == 'N') | (ToCode == 'Y' & lag(ToCode) == 'Coded'),
'Y', 'N')) %>%
mutate(remove = ifelse(is.na(remove), 'N', remove))
View(all2)
full <- merge_ET_datavyu(et_out, dv_out, write = F)
View(full)
View(et_out)
library(DDLab)
library(readr)
library(tidyr)
library(dplyr)
library(DDLab)
etfile <- read_csv('/Volumes/DDLab/Projects/India_GatesPhase2/Behavioural Analysis/YEAR 2/Round_1&2_Year_2/R1_R2_Y2_DataViewer/Output/R1_R2_Y2_Fixation_Report_to_use.csv')
et_out <- create_ET_trial_data(etfile, 'VWM', write = F)
#write_csv(et_out, 'Kiaras_exported_data.csv')
# Behavioural
dvfile <- read_csv('/Volumes/DDLabAV/Projects/India_GatesPhase2/Exported/18/NEW/06IND001B.csv')
dv_out <- create_datavyu_trial_data(dvfile, write = F)
View(dv_out)
View(et_out)
library(DDLab)
library(readr)
library(tidyr)
library(dplyr)
library(DDLab)
etfile <- read_csv('/Volumes/DDLab/Projects/India_GatesPhase2/Behavioural Analysis/YEAR 2/Round_1&2_Year_2/R1_R2_Y2_DataViewer/Output/R1_R2_Y2_Fixation_Report_to_use.csv')
et_out <- create_ET_trial_data(etfile, 'VWM', write = F)
#write_csv(et_out, 'Kiaras_exported_data.csv')
# Behavioural
dvfile <- read_csv('/Volumes/DDLabAV/Projects/India_GatesPhase2/Exported/18/NEW/06IND001B.csv')
dv_out <- create_datavyu_trial_data(dvfile, write = F)
View(et_out)
#V3 R2 Y2
r2y2 <- read_csv('/DDLab/Projects/India_GatesPhase2/Round3_Year2/Behavioural/ET Analysis/Round_3_Year_2_06_09_FixationReport_v3.csv')
#V3 R2 Y2
r2y2 <- read_csv('/Volumes/DDLab/Projects/India_GatesPhase2/Round3_Year2/Behavioural/ET Analysis/Round_3_Year_2_06_09_FixationReport_v3.csv')
#V3 R2 Y2
r3y2 <- read_csv('/Volumes/DDLab/Projects/India_GatesPhase2/Round3_Year2/Behavioural/ET Analysis/Round_3_Year_2_06_09_FixationReport_v3.csv')
ETdata2 <- ETd %>%
filter(task == task,
CURRENT_FIX_INTEREST_AREA_LABEL != '.') %>%
mutate(CURRENT_FIX_INTEREST_AREA_LABEL = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_IA', 'LEFT_BIA', CURRENT_FIX_INTEREST_AREA_LABEL),
CURRENT_FIX_INTEREST_AREA_LABEL = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_IA', 'RIGHT_BIA', CURRENT_FIX_INTEREST_AREA_LABEL)) %>%
mutate(LEFT = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_BIA', CURRENT_FIX_DURATION, 0),
RIGHT = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_BIA', CURRENT_FIX_DURATION, 0)) %>%
group_by(RECORDING_SESSION_LABEL, trial) %>%
mutate(LOOKS = ifelse(CURRENT_FIX_RUN_INDEX ==1, 1, 0)) %>%
filter(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_BIA' | CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_BIA') %>%
mutate(SWITCH = 0 ) %>%
mutate(SWITCH = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == lag(CURRENT_FIX_INTEREST_AREA_LABEL), 0, 1)) %>%
mutate(SWITCH = ifelse(is.na(SWITCH), 0, SWITCH)) %>%
summarise(ChangeSide = first(side),
Load = first(condition),
Left = sum(LEFT),
Right = sum(RIGHT),
Switch = sum(SWITCH),
Looks = sum(LOOKS)
) %>%
mutate(TLT = Left + Right,
PercLook = TLT/10000,
MLD = TLT/Looks,
SR = Switch/(TLT/1000),
CP = ifelse(ChangeSide == 'L', Left/TLT, Right/TLT),
Both = ifelse(Left > 0 & Right > 0, 'Y', 'N'),
ToCode = ifelse(Both == 'N' | PercLook < .4, 'Y', 'N')) %>%
ungroup()
All <- ETd %>%
filter(task == task) %>%
group_by(RECORDING_SESSION_LABEL, trial) %>%
summarise(ChangeSide = first(side),
Load = first(condition)) %>%
ungroup()
data_out <- merge(All, ETdata2, by = c('RECORDING_SESSION_LABEL', 'trial', 'ChangeSide', 'Load'))
data_out <- data_out %>%
mutate(ToCode = ifelse(is.na(ToCode), 'Y', ToCode)) %>%
rename(ID = RECORDING_SESSION_LABEL,
Trial = trial) %>%
mutate(Trial = as.numeric(Trial)) %>%
arrange(ID, Trial)
Trial <- c(1:18)
ID <- data_out$ID
ID <- unique(data_out$ID)
datum <- data.frame(ID, Trial)
ID <- rep(unique(data_out$ID), 18)
ID <- rep(unique(data_out$ID), times = 18)
ID <- rep(unique(data_out$ID), each = 18)
ID <- rep(unique(data_out$ID), each = 18)
Trial <- rep(c(1:18), each = length(ID))
Trial <- rep(c(1:18), times = length(ID))
ID <- rep(unique(data_out$ID), each = 18)
Trial <- rep(c(1:18), times = unique(data_out$ID))
Trial <- rep(c(1:18), times = length(unique(data_out$ID)))
datum <- data.frame(ID, Trial)
View(datum)
data_out2 <- merge(datum, data_out, sort = F, by = c('ID', 'Trial'))
data_out2 <- merge(datum, data_out, sort = F, by = c('ID', 'Trial'), all = T)
View(data_out2)
data_out2 <- merge(datum, data_out, by = c('ID', 'Trial'), all.x = T, sort = F)
View(data_out2)
data_out2 <- data_out2 %>%
arrange(ID, Trial)
View(data_out2)
data_out2 <- merge(datum, data_out, by = c('ID', 'Trial'), all = T, sort = F)
data_out2 <- data_out2 %>%
arrange(ID, Trial)
View(data_out2)
roxygen2::roxygenate()
install.packages('roxygen2')
roxygen2::roxygenate()
roxygen2::roxygenize(
)
library(DDLab)
############################
#V3 R2 Y2
r3y2 <- read_csv('/Volumes/DDLab/Projects/India_GatesPhase2/Round3_Year2/Behavioural/ET Analysis/Round_3_Year_2_06_09_FixationReport_v3.csv')
r3_out <- create_ET_trial_data(r3y2, 'VWM', write = F, show_all_missing = T)
View(r3_out)
write_csv(r3_out, "../../../Volumes/DDLabAV/Projects/India_GatesPhase2/Exported/")
write_csv(r3_out, "/Volumes/DDLabAV/Projects/India_GatesPhase2/Exported/")
write_csv(r3_out, "/Volumes/DDLabAV/Projects/India_GatesPhase2/Exported/Round3Y2Trials.csv")
library(DDLab)
############################# #LOURDES
lourdes <- read_csv("~/Desktop/VWM_FixR_e090319.csv")
library(readr)
library(tidyr)
library(dplyr)
library(DDLab)
############################# #LOURDES
lourdes <- read_csv("~/Desktop/VWM_FixR_e090319.csv")
lout <- create_ET_trial_data(lourdes, 'VWM', write = F, show_all_missing = F)
View(lout)
View(lourdes)
sub <- subset(lourdes, RECORDING_SESSION_LABEL == '06004b71')
View(sub)
library(DDLab)
lout <- create_ET_trial_data(lourdes, 'VWM', write = F, show_all_missing = F)
View(lout)
View(sub)
unique(sub$CURRENT_FIX_INTEREST_AREA_LABEL)
library(DDLab)
lout <- create_ET_trial_data(lourdes, 'VWM', write = F, show_all_missing = F)
View(sub)
ETd = lourdes
ETd = sub
ETdata2 <- ETd %>%
filter(task == task,
CURRENT_FIX_INTEREST_AREA_LABEL != '.' & !is.nan(CURRENT_FIX_INTEREST_AREA_LABEL) & CURRENT_FIX_INTEREST_AREA_LABEL != 'NaN') %>%
mutate(CURRENT_FIX_INTEREST_AREA_LABEL = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_IA', 'LEFT_BIA', CURRENT_FIX_INTEREST_AREA_LABEL),
CURRENT_FIX_INTEREST_AREA_LABEL = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_IA', 'RIGHT_BIA', CURRENT_FIX_INTEREST_AREA_LABEL)) %>%
mutate(LEFT = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_BIA', CURRENT_FIX_DURATION, 0),
RIGHT = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_BIA', CURRENT_FIX_DURATION, 0)) %>%
group_by(RECORDING_SESSION_LABEL, trial) %>%
mutate(LOOKS = ifelse(CURRENT_FIX_RUN_INDEX ==1, 1, 0)) %>%
filter(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_BIA' | CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_BIA') %>%
mutate(SWITCH = 0 ) %>%
mutate(SWITCH = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == lag(CURRENT_FIX_INTEREST_AREA_LABEL), 0, 1)) %>%
mutate(SWITCH = ifelse(is.na(SWITCH), 0, SWITCH)) %>%
summarise(ChangeSide = first(side),
Load = first(condition),
Left = sum(LEFT),
Right = sum(RIGHT),
Switch = sum(SWITCH),
Looks = sum(LOOKS)
)
View(ETdata2)
ETdata2 <- ETd %>%
filter(task == task,
CURRENT_FIX_INTEREST_AREA_LABEL != '.' & !is.nan(CURRENT_FIX_INTEREST_AREA_LABEL) & CURRENT_FIX_INTEREST_AREA_LABEL != 'NaN') %>%
mutate(CURRENT_FIX_INTEREST_AREA_LABEL = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_IA', 'LEFT_BIA', CURRENT_FIX_INTEREST_AREA_LABEL),
CURRENT_FIX_INTEREST_AREA_LABEL = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_IA', 'RIGHT_BIA', CURRENT_FIX_INTEREST_AREA_LABEL)) %>%
mutate(LEFT = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_BIA', CURRENT_FIX_DURATION, 0),
RIGHT = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_BIA', CURRENT_FIX_DURATION, 0)) %>%
group_by(RECORDING_SESSION_LABEL, trial) %>%
mutate(LOOKS = ifelse(CURRENT_FIX_RUN_INDEX ==1, 1, 0))
View(ETdata2)
a <- c(1, 2, 3, 4, 5)
lead(a)
ETdata2 <- ETd %>%
filter(task == task,
CURRENT_FIX_INTEREST_AREA_LABEL != '.' & !is.nan(CURRENT_FIX_INTEREST_AREA_LABEL) & CURRENT_FIX_INTEREST_AREA_LABEL != 'NaN') %>%
mutate(CURRENT_FIX_INTEREST_AREA_LABEL = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_IA', 'LEFT_BIA', CURRENT_FIX_INTEREST_AREA_LABEL),
CURRENT_FIX_INTEREST_AREA_LABEL = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_IA', 'RIGHT_BIA', CURRENT_FIX_INTEREST_AREA_LABEL)) %>%
mutate(LEFT = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_BIA', CURRENT_FIX_DURATION, 0),
RIGHT = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_BIA', CURRENT_FIX_DURATION, 0)) %>%
group_by(RECORDING_SESSION_LABEL, trial) %>%
mutate(LOOKS = ifelse(CURRENT_FIX_RUN_INDEX < lag(CURRENT_FIX_RUN_INDEX), 1, 0)) %>%
filter(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_BIA' | CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_BIA') %>%
mutate(SWITCH = 0 ) %>%
mutate(SWITCH = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == lag(CURRENT_FIX_INTEREST_AREA_LABEL), 0, 1)) %>%
mutate(SWITCH = ifelse(is.na(SWITCH), 0, SWITCH)) %>%
summarise(ChangeSide = first(side),
Load = first(condition),
Left = sum(LEFT),
Right = sum(RIGHT),
Switch = sum(SWITCH),
Looks = sum(LOOKS)
)
View(ETdata2)
ETdata2 <- ETd %>%
filter(task == task,
CURRENT_FIX_INTEREST_AREA_LABEL != '.' & !is.nan(CURRENT_FIX_INTEREST_AREA_LABEL) & CURRENT_FIX_INTEREST_AREA_LABEL != 'NaN') %>%
mutate(CURRENT_FIX_INTEREST_AREA_LABEL = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_IA', 'LEFT_BIA', CURRENT_FIX_INTEREST_AREA_LABEL),
CURRENT_FIX_INTEREST_AREA_LABEL = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_IA', 'RIGHT_BIA', CURRENT_FIX_INTEREST_AREA_LABEL)) %>%
mutate(LEFT = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_BIA', CURRENT_FIX_DURATION, 0),
RIGHT = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_BIA', CURRENT_FIX_DURATION, 0)) %>%
group_by(RECORDING_SESSION_LABEL, trial) %>%
mutate(LOOKS = ifelse(CURRENT_FIX_RUN_INDEX < lag(CURRENT_FIX_RUN_INDEX), 1, 0))
View(ETdata2)
ETdata2 <- ETd %>%
filter(task == task,
CURRENT_FIX_INTEREST_AREA_LABEL != '.' & !is.nan(CURRENT_FIX_INTEREST_AREA_LABEL) & CURRENT_FIX_INTEREST_AREA_LABEL != 'NaN') %>%
mutate(CURRENT_FIX_INTEREST_AREA_LABEL = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_IA', 'LEFT_BIA', CURRENT_FIX_INTEREST_AREA_LABEL),
CURRENT_FIX_INTEREST_AREA_LABEL = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_IA', 'RIGHT_BIA', CURRENT_FIX_INTEREST_AREA_LABEL)) %>%
mutate(LEFT = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_BIA', CURRENT_FIX_DURATION, 0),
RIGHT = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_BIA', CURRENT_FIX_DURATION, 0)) %>%
group_by(RECORDING_SESSION_LABEL, trial) %>%
mutate(LOOKS = ifelse(CURRENT_FIX_RUN_INDEX ==1 | CURRENT_FIX_RUN_INDEX < lag(CURRENT_FIX_RUN_INDEX), 1, 0))
View(ETdata2)
ETdata2 <- ETd %>%
filter(task == task,
CURRENT_FIX_INTEREST_AREA_LABEL != '.' & !is.nan(CURRENT_FIX_INTEREST_AREA_LABEL) & CURRENT_FIX_INTEREST_AREA_LABEL != 'NaN') %>%
mutate(CURRENT_FIX_INTEREST_AREA_LABEL = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_IA', 'LEFT_BIA', CURRENT_FIX_INTEREST_AREA_LABEL),
CURRENT_FIX_INTEREST_AREA_LABEL = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_IA', 'RIGHT_BIA', CURRENT_FIX_INTEREST_AREA_LABEL)) %>%
mutate(LEFT = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_BIA', CURRENT_FIX_DURATION, 0),
RIGHT = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_BIA', CURRENT_FIX_DURATION, 0)) %>%
group_by(RECORDING_SESSION_LABEL, trial) %>%
mutate(LOOKS = ifelse(CURRENT_FIX_RUN_INDEX ==1 | CURRENT_FIX_RUN_INDEX < lag(CURRENT_FIX_RUN_INDEX), 1, 0),
LOOKS = ifelse(is.na(LOOKS), 1, LOOKS)) %>%
filter(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_BIA' | CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_BIA') %>%
mutate(SWITCH = 0 ) %>%
mutate(SWITCH = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == lag(CURRENT_FIX_INTEREST_AREA_LABEL), 0, 1)) %>%
mutate(SWITCH = ifelse(is.na(SWITCH), 0, SWITCH)) %>%
summarise(ChangeSide = first(side),
Load = first(condition),
Left = sum(LEFT),
Right = sum(RIGHT),
Switch = sum(SWITCH),
Looks = sum(LOOKS)
)
View(ETdata2)
ETdata2 <- ETd %>%
filter(task == task,
CURRENT_FIX_INTEREST_AREA_LABEL != '.' & !is.nan(CURRENT_FIX_INTEREST_AREA_LABEL) & CURRENT_FIX_INTEREST_AREA_LABEL != 'NaN') %>%
mutate(CURRENT_FIX_INTEREST_AREA_LABEL = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_IA', 'LEFT_BIA', CURRENT_FIX_INTEREST_AREA_LABEL),
CURRENT_FIX_INTEREST_AREA_LABEL = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_IA', 'RIGHT_BIA', CURRENT_FIX_INTEREST_AREA_LABEL)) %>%
mutate(LEFT = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_BIA', CURRENT_FIX_DURATION, 0),
RIGHT = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_BIA', CURRENT_FIX_DURATION, 0)) %>%
group_by(RECORDING_SESSION_LABEL, trial) %>%
mutate(LOOKS = ifelse(CURRENT_FIX_RUN_INDEX ==1 | CURRENT_FIX_RUN_INDEX <= lag(CURRENT_FIX_RUN_INDEX), 1, 0),
LOOKS = ifelse(is.na(LOOKS), 1, LOOKS)) %>%
filter(CURRENT_FIX_INTEREST_AREA_LABEL == 'LEFT_BIA' | CURRENT_FIX_INTEREST_AREA_LABEL == 'RIGHT_BIA') %>%
mutate(SWITCH = 0 ) %>%
mutate(SWITCH = ifelse(CURRENT_FIX_INTEREST_AREA_LABEL == lag(CURRENT_FIX_INTEREST_AREA_LABEL), 0, 1)) %>%
mutate(SWITCH = ifelse(is.na(SWITCH), 0, SWITCH)) %>%
summarise(ChangeSide = first(side),
Load = first(condition),
Left = sum(LEFT),
Right = sum(RIGHT),
Switch = sum(SWITCH),
Looks = sum(LOOKS)
)
View(ETdata2)
library(DDLab)
lout <- create_ET_trial_data(lourdes, 'VWM', write = F, show_all_missing = F)
View(lout)
write.csv(lout, "~/Desltop/VWM.csv")
write_csv(lout, "~/Desktop/VWM.csv")
library(DDLab)
library(DDLab)
library(DDLab)
library(DDLab)
library(DDLab)
library(DDLab)
library(DDLab)
library(DDLab)
library(DDLab)