Je pense que cela devrait vous permettre d'obtenir ce que vous recherchez.
# Number of combinations
n <- 6
# Create dataframe of all combinations for 1 and -1 taken n number of times
# For calculations 1 = A and -1 = B
df <- expand.grid(rep(list(c(1,-1)), n))
# Select only rows that have 1 as first value
df <- df[df[,1] == 1,]
# Set first value for all rows as "A"
df[,1] <- "A"
# Set value for first calculation column as 1
df$s <- 1
# Loop through all columns starting with 2
for(i in 2:n){
# Get name of current column
cur.col <- colnames(df)[i]
# Get the difference between the number of 1 and -1 for current column and the running total
df$s2 <- apply(df[,c(cur.col,"s")], 1, sum)
# Remove any rows with a negative value
df <- df[df$s2 >= 0,]
# Set running total to current total
df$s <- df$s2
# Set values for current column
df[,i] <- sapply(as.character(df[,i]), switch, "1" = "A", "-1" = "B")
# Check if current column is last column
if(i == n){
# Only select rows that have a total of zero, indicating that row has a pairs of AB values
df <- df[df$s2 == 0, 1:n]
}
}
# Get vector of combinations
combos <- unname(apply(df[,1:n], 1, paste0, collapse = ""))