[Solved] Filtering subjects below accuracy threshold in R [closed]

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You are using ==, which tests for pairwise equality (e.g., is the first row of df1$subject equal to the first row of df2$subject, are the second rows equal, etc.). Consider 

c(1, 1, 2, 3) == c(1, 2, 3, 4)
# [1] TRUE FALSE FALSE FALSE

Instead, you want to be testing if each row of df1$subject is in any row of df2$subject. We can use %in% for this:

c(1, 1, 2, 3) %in% c(1, 2, 3, 4)
# [1] TRUE TRUE TRUE TRUE

filterdata <- subset(
    groupedmergedoutliers,
    subject %in% filtercorrectpercent$subject
)

solved Filtering subjects below accuracy threshold in R [closed]