Publications by Andrei Tamas Foldes

iaps modelling

Load data For simplicity lets see the best model we can get by modelling rating as a normally distributed interval scale outcome variable # lets find the maximal random effect structure # this is the classical within-subject anova in glm form r1 <- lmer(as.numeric(rating) ~ 1 + (1 | participant), data=arousal.extended.wbaseline) # this is th...

1638 sym R (11062 sym/31 pcs) 3 img 4 tbl

text mining

Preprocessing STR_Dream_Log <- read_excel("STR_Dream Log(1).xlsx", col_types = c("date", "text", "text", "text", "text"), skip = 1) names(STR_Dream_Log) <- c("Date","Id","Sleep","Wake","Dream") STR_Description_Log <- read_excel("STR_Description Log.xlsx") ud_model <- udpipe_download_model(language = "english") ## Downloading udpipe model from...

3464 sym R (14357 sym/75 pcs) 18 img

ELLREP

Session 1 preprocessing details.ellrep = file.info(list.files(path = "C:\\Users\\saptaf1\\Documents local\\ellrep-ti-task\\session1\\data", pattern = "*.csv", full.names = TRUE)) details.filtered.ellrep <- details.ellrep data_all <- rownames(details.filtered.ellrep) %>% map_df(~read_csv(.x, col_types = cols(sli...

803 sym R (32376 sym/92 pcs) 21 img