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getRandSamples <- function(seed = NA){ | |
if (!is.na(seed)){ | |
set.seed(seed) #incase you need repeatable data generation. | |
#but remember to set a different seed for each person if you want them to get different items at each time point. | |
} | |
True_New <- sample(1:20,20,replace = F) #items that are true + new | |
True_Rep <- sample(21:40,20,replace = F) #items that are true + repeated | |
False_New <- sample(41:60,20,replace = F) #items that are false + new | |
False_Rep <-sample(61:80,20,replace = F) # items that are false + repeated | |
items <- list(True_New, True_Rep, False_New, False_Rep) | |
t1 <- sapply(items, function(x) x[1:5]) #items to give at time 1 | |
t2 <- sapply(items, function(x) x[6:10]) #items to give at time 2 | |
t3 <- sapply(items, function(x) x[11:15]) #items to give at time 3 | |
t4 <- sapply(items, function(x) x[16:20]) #items to give at time 4 | |
#return dataframe with time and items for each time point | |
return(data.frame(time = sort(rep(0:3,20)), | |
item = c(t1,t2,t3,t4))) | |
} |
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