>source

psych에서 outlier() 함수를 사용하려고 합니다. 나는 2개의 df, 두 정수 모두 300x10을 가지고 있습니다. 그것들은 문자 그대로 동일한 길이와 유형의 df입니다. 유일한 차이점은 자극에 대한 다양한 박람회에서 측정된다는 것입니다.

df1용으로 하면 다 좋습니다. df2에 대해 수행하면 다음과 같이 표시됩니다.

Error in solve.default(Sx) :
  Lapack routine dgesv: system is exactly singular: U[10,10]= 0

solve()를 시도했지만 oc가 작동하지 않습니다. pls 도움말을 진행하는 방법을 모르겠습니다.

df1:

structure(list(AD_BORING_1= c(1L, 2L, 3L, 5L, 4L, 5L, 3L, 6L,
4L, 3L, 5L, 3L, 5L, 4L, 3L, 7L, 7L, 4L, 1L, 4L, 4L, 5L, 2L, 3L,
3L, 5L, 6L, 6L, 1L, 2L, 2L, 3L, 4L, 4L, 2L, 1L, 5L, 7L, 3L, 3L,
3L, 4L, 3L, 5L, 3L, 3L, 6L, 6L, 5L, 7L, 4L, 3L, 7L, 5L, 6L, 7L,
5L, 2L, 3L, 5L, 3L, 2L, 4L, 6L, 2L, 5L, 2L, 2L, 2L, 5L, 6L, 2L,
4L, 2L, 4L, 1L, 5L, 7L, 4L, 3L, 4L, 2L, 5L, 3L, 2L, 3L, 3L, 5L,
6L, 6L, 3L, 6L, 2L, 5L, 4L, 4L, 6L, 3L, 5L, 6L, 5L, 5L, 4L, 6L,
3L, 2L, 4L, 4L, 1L, 4L, 2L, 5L, 4L, 6L, 4L, 5L, 6L, 2L, 3L, 3L,
3L, 4L, 6L, 5L, 5L, 3L, 3L, 2L, 2L, 1L, 4L, 6L, 2L, 5L, 2L, 4L,
6L, 1L, 2L, 4L, 5L, 6L, 3L, 3L, 2L, 3L, 6L, 1L, 6L, 5L, 3L, 6L,
5L, 3L, 3L, 3L, 6L, 4L, 5L, 3L, 6L, 5L, 5L, 6L, 3L, 3L, 5L, 5L,
3L, 5L, 6L, 3L, 5L, 1L, 3L, 3L, 3L, 4L, 6L, 4L, 6L, 5L, 4L, 3L,
6L, 3L, 1L, 2L, 4L, 3L, 2L, 5L, 3L, 5L, 6L, 4L, 3L, 3L, 5L, 7L,
4L, 1L, 3L, 2L, 5L, 5L, 4L, 3L, 2L, 3L, 4L, 7L, 3L, 6L, 5L, 1L,
5L, 4L, 3L, 5L, 5L, 3L, 3L, 6L, 3L, 4L, 3L, 6L, 2L, 6L, 2L, 4L,
6L, 5L, 4L, 2L, 5L, 6L, 3L, 6L, 2L, 6L, 7L, 5L, 4L, 7L, 6L, 3L,
4L, 5L, 1L, 3L, 2L, 2L, 5L, 4L, 6L, 4L, 3L, 6L, 4L, 5L, 5L, 6L,
6L, 5L, 3L, 5L, 7L, 5L, 6L, 6L, 4L, 6L, 6L, 5L, 7L, 4L, 6L, 3L,
6L, 3L, 3L, 3L, 6L, 3L, 3L, 4L, 6L, 1L, 3L, 3L, 5L, 4L, 3L, 5L,
4L, 5L, 6L, 3L), AD_IRRITATING_1= c(4L, 1L, 5L, 3L, 4L, 5L,
4L, 4L, 4L, 5L, 4L, 6L, 4L, 7L, 7L, 7L, 7L, 4L, 1L, 3L, 4L, 6L,
6L, 4L, 3L, 7L, 6L, 6L, 4L, 6L, 3L, 2L, 4L, 4L, 1L, 2L, 5L, 7L,
4L, 6L, 4L, 3L, 6L, 3L, 6L, 6L, 3L, 6L, 6L, 4L, 4L, 5L, 6L, 3L,
7L, 6L, 6L, 4L, 3L, 3L, 4L, 4L, 4L, 6L, 1L, 4L, 4L, 2L, 2L, 5L,
6L, 2L, 5L, 4L, 6L, 1L, 5L, 7L, 3L, 6L, 4L, 3L, 3L, 3L, 2L, 3L,
3L, 6L, 6L, 6L, 5L, 6L, 3L, 7L, 4L, 3L, 6L, 4L, 5L, 6L, 3L, 6L,
4L, 6L, 6L, 4L, 5L, 3L, 3L, 5L, 5L, 7L, 3L, 6L, 3L, 2L, 5L, 4L,
6L, 2L, 4L, 4L, 6L, 6L, 6L, 6L, 6L, 4L, 7L, 2L, 5L, 6L, 3L, 7L,
4L, 3L, 6L, 6L, 6L, 2L, 7L, 7L, 6L, 5L, 3L, 1L, 3L, 1L, 6L, 5L,
6L, 5L, 6L, 7L, 6L, 3L, 6L, 4L, 4L, 2L, 6L, 5L, 5L, 7L, 3L, 4L,
4L, 5L, 4L, 4L, 6L, 4L, 4L, 3L, 4L, 2L, 4L, 4L, 6L, 3L, 6L, 6L,
6L, 1L, 6L, 5L, 2L, 3L, 5L, 5L, 2L, 7L, 2L, 6L, 6L, 3L, 4L, 6L,
4L, 7L, 6L, 4L, 2L, 4L, 7L, 6L, 4L, 6L, 6L, 4L, 5L, 7L, 6L, 6L,
4L, 4L, 5L, 3L, 6L, 4L, 4L, 3L, 3L, 5L, 3L, 4L, 6L, 6L, 4L, 3L,
4L, 6L, 3L, 6L, 4L, 5L, 6L, 7L, 6L, 6L, 2L, 3L, 6L, 7L, 6L, 7L,
5L, 2L, 4L, 4L, 2L, 5L, 4L, 4L, 6L, 6L, 7L, 4L, 7L, 6L, 5L, 6L,
6L, 3L, 6L, 5L, 1L, 1L, 5L, 6L, 6L, 5L, 5L, 7L, 3L, 6L, 7L, 4L,
6L, 3L, 6L, 3L, 4L, 4L, 6L, 3L, 2L, 6L, 7L, 6L, 4L, 4L, 6L, 3L,
6L, 4L, 6L, 3L, 6L, 1L), AD_DISTURBING_1= c(4L, 1L, 5L, 7L,
7L, 5L, 6L, 4L, 7L, 6L, 7L, 6L, 3L, 7L, 7L, 5L, 4L, 6L, 4L, 4L,
3L, 7L, 7L, 6L, 2L, 7L, 2L, 4L, 7L, 4L, 6L, 2L, 3L, 4L, 1L, 4L,
6L, 7L, 6L, 6L, 5L, 6L, 6L, 7L, 7L, 6L, 5L, 6L, 7L, 7L, 6L, 5L,
5L, 3L, 7L, 6L, 6L, 6L, 6L, 4L, 6L, 3L, 4L, 6L, 4L, 6L, 4L, 5L,
3L, 5L, 6L, 5L, 3L, 3L, 3L, 3L, 5L, 6L, 6L, 6L, 4L, 3L, 6L, 4L,
4L, 5L, 6L, 6L, 5L, 6L, 7L, 6L, 5L, 7L, 3L, 3L, 6L, 2L, 6L, 6L,
3L, 6L, 6L, 5L, 7L, 6L, 6L, 6L, 5L, 4L, 7L, 7L, 3L, 6L, 3L, 7L,
6L, 4L, 4L, 6L, 6L, 4L, 7L, 6L, 6L, 2L, 7L, 5L, 7L, 4L, 7L, 6L,
6L, 7L, 4L, 6L, 3L, 6L, 6L, 5L, 7L, 7L, 7L, 3L, 6L, 3L, 7L, 3L,
6L, 3L, 7L, 3L, 7L, 7L, 7L, 6L, 7L, 6L, 4L, 3L, 6L, 5L, 5L, 5L,
3L, 2L, 7L, 5L, 6L, 6L, 7L, 7L, 4L, 2L, 7L, 4L, 6L, 3L, 7L, 7L,
6L, 5L, 7L, 1L, 4L, 6L, 1L, 7L, 6L, 6L, 6L, 7L, 6L, 7L, 6L, 4L,
6L, 6L, 2L, 7L, 6L, 4L, 4L, 4L, 3L, 4L, 7L, 3L, 6L, 6L, 6L, 7L,
7L, 6L, 4L, 4L, 4L, 4L, 6L, 3L, 4L, 7L, 5L, 4L, 7L, 2L, 7L, 6L,
6L, 6L, 3L, 6L, 3L, 7L, 4L, 4L, 7L, 7L, 5L, 3L, 3L, 6L, 7L, 7L,
6L, 6L, 7L, 6L, 6L, 4L, 3L, 7L, 7L, 6L, 7L, 7L, 7L, 6L, 7L, 6L,
6L, 5L, 6L, 3L, 6L, 6L, 4L, 4L, 7L, 6L, 7L, 4L, 7L, 7L, 2L, 6L,
7L, 4L, 6L, 3L, 6L, 2L, 5L, 2L, 3L, 3L, 7L, 6L, 7L, 6L, 4L, 4L,
6L, 6L, 7L, 7L, 7L, 3L, 6L, 3L), AD_CREDIBLE_1= c(2L, 2L, 4L,
3L, 4L, 5L, 2L, 2L, 5L, 1L, 4L, 4L, 2L, 2L, 3L, 2L, 2L, 3L, 4L,
4L, 2L, 3L, 2L, 4L, 1L, 4L, 1L, 3L, 1L, 3L, 2L, 4L, 3L, 3L, 1L,
1L, 3L, 6L, 3L, 1L, 5L, 2L, 2L, 2L, 2L, 4L, 3L, 2L, 3L, 3L, 5L,
3L, 4L, 2L, 5L, 4L, 3L, 3L, 5L, 3L, 1L, 1L, 2L, 4L, 1L, 4L, 2L,
2L, 1L, 5L, 6L, 1L, 1L, 3L, 4L, 1L, 2L, 6L, 5L, 5L, 4L, 4L, 6L,
2L, 1L, 4L, 3L, 3L, 6L, 3L, 6L, 3L, 1L, 4L, 1L, 3L, 3L, 2L, 6L,
3L, 3L, 2L, 3L, 6L, 3L, 2L, 4L, 5L, 3L, 4L, 3L, 4L, 2L, 3L, 2L,
4L, 5L, 2L, 6L, 7L, 3L, 3L, 5L, 4L, 5L, 3L, 6L, 5L, 6L, 2L, 3L,
6L, 3L, 2L, 2L, 1L, 7L, 7L, 2L, 1L, 6L, 5L, 5L, 4L, 3L, 2L, 1L,
1L, 6L, 3L, 5L, 2L, 6L, 3L, 5L, 5L, 3L, 3L, 2L, 4L, 6L, 5L, 3L,
4L, 5L, 1L, 2L, 4L, 3L, 4L, 5L, 2L, 5L, 5L, 6L, 3L, 4L, 2L, 5L,
6L, 5L, 4L, 4L, 1L, 2L, 4L, 3L, 4L, 4L, 2L, 2L, 5L, 1L, 6L, 3L,
1L, 3L, 2L, 2L, 4L, 3L, 1L, 3L, 3L, 2L, 1L, 3L, 1L, 4L, 4L, 1L,
6L, 2L, 6L, 3L, 2L, 6L, 3L, 3L, 3L, 5L, 3L, 3L, 4L, 2L, 1L, 3L,
5L, 1L, 3L, 6L, 1L, 1L, 6L, 3L, 4L, 3L, 5L, 1L, 5L, 1L, 1L, 7L,
3L, 6L, 6L, 3L, 2L, 3L, 5L, 4L, 3L, 3L, 6L, 6L, 5L, 6L, 3L, 5L,
5L, 4L, 4L, 4L, 2L, 6L, 5L, 2L, 1L, 2L, 3L, 3L, 3L, 4L, 4L, 1L,
5L, 6L, 4L, 4L, 3L, 5L, 3L, 5L, 3L, 2L, 3L, 1L, 5L, 6L, 1L, 5L,
4L, 5L, 3L, 3L, 5L, 5L, 3L, 5L, 1L), AD_GOOD_1= c(1L, 2L, 3L,
5L, 5L, 5L, 3L, 4L, 6L, 4L, 5L, 5L, 4L, 4L, 4L, 2L, 4L, 4L, 2L,
4L, 4L, 4L, 3L, 3L, 2L, 4L, 2L, 4L, 4L, 4L, 2L, 3L, 4L, 3L, 6L,
2L, 4L, 7L, 2L, 3L, 5L, 3L, 2L, 5L, 2L, 6L, 5L, 3L, 4L, 3L, 4L,
3L, 4L, 4L, 7L, 4L, 3L, 4L, 4L, 2L, 2L, 2L, 1L, 6L, 1L, 4L, 1L,
1L, 4L, 5L, 6L, 1L, 3L, 3L, 3L, 5L, 4L, 6L, 4L, 4L, 4L, 4L, 6L,
2L, 2L, 4L, 3L, 5L, 6L, 3L, 5L, 4L, 2L, 5L, 4L, 3L, 5L, 4L, 5L,
5L, 1L, 4L, 4L, 5L, 4L, 2L, 4L, 4L, 1L, 4L, 4L, 5L, 2L, 5L, 4L,
5L, 6L, 3L, 5L, 5L, 3L, 4L, 5L, 3L, 5L, 3L, 6L, 4L, 5L, 2L, 2L,
6L, 2L, 5L, 2L, 5L, 5L, 3L, 2L, 2L, 6L, 4L, 4L, 3L, 3L, 1L, 3L,
2L, 6L, 5L, 5L, 5L, 5L, 2L, 4L, 5L, 5L, 4L, 4L, 3L, 5L, 5L, 5L,
5L, 2L, 4L, 2L, 5L, 3L, 3L, 2L, 4L, 5L, 2L, 3L, 2L, 3L, 4L, 5L,
4L, 5L, 5L, 5L, 5L, 4L, 5L, 4L, 2L, 4L, 4L, 2L, 5L, 5L, 5L, 3L,
1L, 3L, 4L, 4L, 7L, 2L, 2L, 4L, 3L, 3L, 3L, 4L, 3L, 3L, 4L, 3L,
6L, 4L, 4L, 4L, 2L, 4L, 4L, 4L, 3L, 4L, 2L, 3L, 5L, 2L, 4L, 4L,
6L, 2L, 5L, 2L, 4L, 1L, 5L, 3L, 1L, 3L, 4L, 3L, 4L, 1L, 2L, 7L,
6L, 6L, 6L, 2L, 2L, 3L, 4L, 2L, 2L, 4L, 4L, 2L, 5L, 6L, 5L, 3L,
4L, 4L, 5L, 4L, 2L, 7L, 4L, 1L, 1L, 2L, 2L, 4L, 4L, 4L, 6L, 3L,
3L, 6L, 4L, 5L, 3L, 5L, 2L, 4L, 4L, 5L, 3L, 3L, 5L, 6L, 2L, 5L,
6L, 5L, 3L, 4L, 6L, 5L, 3L, 5L, 1L), AD_HONEST_1= c(3L, 2L,
3L, 2L, 4L, 5L, 2L, 2L, 6L, 1L, 4L, 4L, 3L, 1L, 4L, 2L, 1L, 2L,
4L, 3L, 1L, 4L, 3L, 2L, 1L, 4L, 1L, 3L, 2L, 3L, 2L, 2L, 3L, 2L,
1L, 1L, 3L, 6L, 4L, 1L, 2L, 2L, 2L, 1L, 1L, 3L, 3L, 2L, 4L, 3L,
4L, 5L, 3L, 2L, 4L, 5L, 5L, 3L, 2L, 2L, 3L, 1L, 3L, 5L, 1L, 4L,
2L, 4L, 1L, 4L, 5L, 1L, 1L, 1L, 3L, 2L, 2L, 6L, 4L, 3L, 2L, 2L,
4L, 2L, 2L, 3L, 2L, 2L, 4L, 2L, 6L, 3L, 1L, 4L, 1L, 2L, 3L, 2L,
6L, 2L, 1L, 2L, 2L, 4L, 4L, 2L, 3L, 2L, 3L, 4L, 3L, 4L, 2L, 2L,
3L, 4L, 6L, 2L, 4L, 4L, 2L, 4L, 4L, 3L, 3L, 3L, 6L, 3L, 2L, 2L,
4L, 5L, 3L, 1L, 2L, 1L, 6L, 3L, 2L, 3L, 4L, 3L, 4L, 2L, 3L, 1L,
2L, 1L, 4L, 3L, 5L, 2L, 4L, 4L, 2L, 5L, 4L, 4L, 3L, 4L, 3L, 5L,
4L, 6L, 4L, 1L, 1L, 5L, 2L, 1L, 1L, 3L, 4L, 4L, 2L, 1L, 1L, 3L,
3L, 4L, 6L, 5L, 6L, 1L, 1L, 3L, 4L, 4L, 3L, 1L, 2L, 5L, 2L, 5L,
2L, 1L, 3L, 3L, 1L, 5L, 2L, 1L, 3L, 3L, 3L, 2L, 3L, 1L, 5L, 3L,
1L, 4L, 3L, 3L, 3L, 2L, 5L, 2L, 3L, 1L, 4L, 2L, 4L, 2L, 1L, 4L,
3L, 6L, 2L, 4L, 4L, 4L, 1L, 4L, 2L, 2L, 5L, 4L, 2L, 4L, 1L, 2L,
4L, 4L, 4L, 2L, 2L, 2L, 4L, 3L, 4L, 2L, 3L, 5L, 1L, 5L, 5L, 1L,
2L, 4L, 4L, 5L, 2L, 2L, 6L, 4L, 1L, 1L, 2L, 2L, 3L, 3L, 3L, 5L,
1L, 4L, 6L, 4L, 4L, 3L, 2L, 2L, 1L, 4L, 4L, 5L, 1L, 4L, 6L, 1L,
4L, 5L, 3L, 3L, 4L, 4L, 5L, 3L, 5L, 1L), AD_TRUTHFUL_1= c(4L,
2L, 1L, 2L, 4L, 5L, 2L, 2L, 6L, 2L, 4L, 4L, 6L, 2L, 4L, 2L, 2L,
2L, 1L, 5L, 1L, 4L, 4L, 2L, 1L, 3L, 1L, 3L, 1L, 3L, 2L, 2L, 2L,
2L, 1L, 1L, 3L, 6L, 4L, 1L, 2L, 2L, 4L, 1L, 1L, 2L, 3L, 2L, 4L,
2L, 4L, 6L, 2L, 2L, 4L, 6L, 5L, 3L, 3L, 2L, 1L, 1L, 2L, 5L, 1L,
4L, 2L, 4L, 1L, 4L, 5L, 2L, 1L, 2L, 3L, 1L, 2L, 3L, 5L, 5L, 2L,
1L, 3L, 2L, 2L, 2L, 2L, 2L, 4L, 1L, 6L, 2L, 2L, 4L, 3L, 1L, 3L,
2L, 5L, 2L, 1L, 2L, 3L, 6L, 3L, 2L, 4L, 2L, 5L, 4L, 2L, 4L, 2L,
2L, 3L, 2L, 7L, 2L, 4L, 4L, 2L, 3L, 5L, 4L, 5L, 2L, 5L, 5L, 6L,
2L, 5L, 5L, 3L, 1L, 1L, 1L, 1L, 3L, 2L, 2L, 4L, 3L, 3L, 2L, 4L,
4L, 2L, 1L, 5L, 2L, 5L, 3L, 3L, 4L, 4L, 5L, 5L, 5L, 4L, 3L, 2L,
5L, 3L, 1L, 3L, 1L, 4L, 5L, 2L, 1L, 1L, 3L, 3L, 2L, 6L, 2L, 4L,
2L, 2L, 5L, 6L, 2L, 4L, 1L, 2L, 3L, 4L, 2L, 3L, 1L, 2L, 5L, 2L,
4L, 2L, 1L, 4L, 3L, 2L, 5L, 2L, 2L, 3L, 2L, 3L, 2L, 4L, 5L, 5L,
3L, 1L, 4L, 3L, 4L, 2L, 1L, 5L, 3L, 1L, 1L, 4L, 3L, 2L, 2L, 2L,
4L, 2L, 6L, 2L, 4L, 6L, 2L, 1L, 4L, 4L, 2L, 4L, 4L, 1L, 6L, 1L,
1L, 4L, 4L, 5L, 4L, 4L, 2L, 3L, 2L, 4L, 2L, 2L, 3L, 2L, 3L, 6L,
1L, 3L, 4L, 4L, 3L, 1L, 1L, 6L, 4L, 1L, 1L, 2L, 2L, 2L, 3L, 2L,
4L, 5L, 5L, 6L, 4L, 5L, 2L, 4L, 2L, 2L, 1L, 3L, 5L, 1L, 4L, 6L,
1L, 4L, 6L, 3L, 2L, 4L, 2L, 6L, 3L, 2L, 1L), AD_LIKEABLE_1= c(1L,
2L, 4L, 7L, 5L, 5L, 3L, 4L, 7L, 1L, 4L, 5L, 6L, 5L, 5L, 2L, 7L,
4L, 1L, 5L, 3L, 5L, 4L, 2L, 3L, 5L, 2L, 5L, 2L, 3L, 3L, 2L, 1L,
4L, 2L, 2L, 4L, 7L, 3L, 1L, 6L, 2L, 3L, 6L, 4L, 5L, 5L, 1L, 5L,
4L, 3L, 3L, 4L, 4L, 6L, 7L, 3L, 4L, 1L, 4L, 2L, 3L, 2L, 6L, 1L,
5L, 3L, 2L, 1L, 6L, 6L, 2L, 6L, 3L, 4L, 1L, 3L, 7L, 2L, 2L, 5L,
1L, 6L, 5L, 4L, 2L, 3L, 3L, 5L, 5L, 6L, 5L, 2L, 5L, 1L, 3L, 6L,
4L, 5L, 6L, 1L, 2L, 4L, 6L, 5L, 2L, 4L, 4L, 1L, 4L, 5L, 5L, 3L,
7L, 2L, 5L, 6L, 5L, 4L, 3L, 2L, 5L, 5L, 3L, 3L, 3L, 6L, 4L, 7L,
2L, 4L, 6L, 4L, 3L, 1L, 5L, 4L, 6L, 2L, 1L, 5L, 4L, 4L, 4L, 3L,
1L, 2L, 1L, 5L, 2L, 4L, 5L, 5L, 5L, 2L, 4L, 6L, 4L, 6L, 4L, 4L,
5L, 5L, 7L, 2L, 4L, 3L, 6L, 4L, 6L, 2L, 2L, 5L, 4L, 2L, 3L, 3L,
5L, 7L, 3L, 6L, 2L, 6L, 4L, 4L, 2L, 2L, 1L, 3L, 1L, 2L, 5L, 5L,
5L, 5L, 5L, 4L, 5L, 5L, 7L, 4L, 1L, 2L, 1L, 5L, 5L, 3L, 5L, 4L,
3L, 2L, 6L, 5L, 6L, 2L, 5L, 5L, 2L, 4L, 5L, 4L, 2L, 2L, 6L, 4L,
2L, 4L, 6L, 2L, 7L, 4L, 6L, 1L, 4L, 2L, 4L, 3L, 4L, 6L, 1L, 1L,
4L, 7L, 5L, 5L, 7L, 1L, 4L, 2L, 1L, 1L, 1L, 4L, 4L, 4L, 6L, 6L,
5L, 4L, 2L, 5L, 5L, 5L, 6L, 7L, 4L, 1L, 3L, 3L, 2L, 7L, 3L, 4L,
7L, 5L, 4L, 6L, 4L, 6L, 3L, 5L, 2L, 5L, 3L, 6L, 3L, 2L, 5L, 6L,
1L, 5L, 6L, 5L, 4L, 2L, 5L, 4L, 3L, 6L, 1L), AD_ENJOYABLE_1= c(1L,
2L, 4L, 6L, 4L, 5L, 3L, 3L, 4L, 4L, 4L, 5L, 6L, 5L, 5L, 2L, 6L,
2L, 1L, 5L, 5L, 5L, 4L, 2L, 5L, 5L, 4L, 5L, 3L, 2L, 3L, 2L, 4L,
4L, 2L, 3L, 4L, 7L, 4L, 4L, 5L, 2L, 3L, 4L, 4L, 4L, 6L, 5L, 5L,
4L, 4L, 5L, 5L, 5L, 6L, 6L, 4L, 4L, 2L, 4L, 3L, 2L, 5L, 5L, 1L,
5L, 2L, 2L, 1L, 5L, 6L, 3L, 4L, 3L, 5L, 1L, 3L, 7L, 3L, 5L, 3L,
1L, 5L, 3L, 2L, 3L, 2L, 5L, 5L, 4L, 5L, 5L, 3L, 5L, 5L, 4L, 6L,
2L, 5L, 6L, 4L, 5L, 4L, 5L, 4L, 2L, 5L, 5L, 2L, 4L, 2L, 5L, 2L,
7L, 2L, 3L, 6L, 3L, 4L, 2L, 4L, 4L, 5L, 5L, 5L, 3L, 6L, 4L, 5L,
2L, 5L, 6L, 4L, 5L, 2L, 5L, 4L, 5L, 2L, 2L, 4L, 4L, 4L, 2L, 3L,
2L, 2L, 1L, 5L, 2L, 5L, 6L, 5L, 3L, 4L, 6L, 6L, 5L, 5L, 5L, 3L,
4L, 5L, 6L, 2L, 2L, 6L, 6L, 4L, 4L, 2L, 2L, 4L, 2L, 3L, 2L, 2L,
3L, 5L, 3L, 6L, 3L, 5L, 7L, 5L, 2L, 1L, 3L, 4L, 2L, 2L, 6L, 3L,
6L, 4L, 4L, 5L, 4L, 2L, 7L, 5L, 1L, 4L, 3L, 5L, 4L, 3L, 3L, 3L,
3L, 4L, 7L, 3L, 6L, 3L, 4L, 5L, 4L, 3L, 4L, 4L, 2L, 3L, 5L, 2L,
2L, 4L, 6L, 2L, 5L, 2L, 4L, 3L, 4L, 3L, 2L, 5L, 5L, 5L, 5L, 1L,
4L, 7L, 5L, 5L, 6L, 3L, 3L, 4L, 4L, 1L, 1L, 2L, 3L, 3L, 6L, 6L,
5L, 4L, 2L, 4L, 5L, 4L, 2L, 6L, 4L, 1L, 3L, 3L, 4L, 5L, 3L, 3L,
7L, 5L, 4L, 5L, 4L, 5L, 3L, 4L, 2L, 5L, 3L, 6L, 2L, 2L, 5L, 6L,
2L, 5L, 6L, 4L, 4L, 4L, 7L, 5L, 3L, 5L, 1L), LIKE_1= c(2L, 2L,
4L, 6L, 5L, 6L, 2L, 4L, 5L, 4L, 4L, 4L, 3L, 4L, 5L, 2L, 4L, 3L,
1L, 4L, 3L, 4L, 4L, 4L, 3L, 4L, 5L, 5L, 2L, 3L, 2L, 2L, 4L, 4L,
1L, 3L, 4L, 6L, 2L, 4L, 4L, 3L, 3L, 4L, 1L, 3L, 5L, 5L, 4L, 3L,
4L, 3L, 5L, 5L, 7L, 5L, 4L, 3L, 2L, 3L, 2L, 1L, 3L, 6L, 2L, 4L,
1L, 2L, 1L, 5L, 6L, 3L, 3L, 3L, 4L, 2L, 4L, 6L, 2L, 4L, 5L, 2L,
5L, 2L, 3L, 4L, 2L, 5L, 5L, 5L, 6L, 5L, 2L, 5L, 3L, 2L, 5L, 4L,
5L, 5L, 3L, 4L, 4L, 6L, 4L, 2L, 4L, 4L, 1L, 4L, 2L, 6L, 2L, 7L,
2L, 3L, 6L, 3L, 6L, 2L, 3L, 4L, 5L, 5L, 5L, 3L, 6L, 3L, 3L, 1L,
4L, 6L, 5L, 5L, 1L, 4L, 4L, 5L, 4L, 4L, 5L, 5L, 2L, 4L, 3L, 1L,
4L, 1L, 5L, 5L, 5L, 5L, 6L, 4L, 4L, 5L, 5L, 4L, 2L, 4L, 4L, 4L,
5L, 6L, 2L, 4L, 2L, 5L, 3L, 4L, 2L, 3L, 4L, 2L, 2L, 2L, 4L, 4L,
5L, 2L, 5L, 4L, 5L, 5L, 5L, 5L, 1L, 4L, 4L, 2L, 2L, 6L, 3L, 4L,
2L, 2L, 4L, 4L, 3L, 7L, 4L, 1L, 2L, 3L, 5L, 3L, 5L, 2L, 3L, 4L,
4L, 6L, 5L, 6L, 2L, 2L, 4L, 4L, 5L, 3L, 4L, 2L, 3L, 5L, 2L, 4L,
4L, 6L, 1L, 6L, 3L, 3L, 1L, 5L, 4L, 4L, 3L, 6L, 3L, 4L, 2L, 3L,
6L, 5L, 5L, 5L, 2L, 2L, 2L, 4L, 2L, 2L, 2L, 4L, 4L, 5L, 6L, 4L,
2L, 4L, 5L, 5L, 5L, 2L, 5L, 4L, 1L, 2L, 3L, 2L, 5L, 3L, 3L, 6L,
2L, 4L, 6L, 4L, 5L, 3L, 5L, 2L, 5L, 2L, 5L, 3L, 2L, 4L, 6L, 2L,
5L, 4L, 5L, 3L, 2L, 6L, 4L, 2L, 5L, 1L)), row.names= c(NA, -300L
), class= c("tbl_df", "tbl", "data.frame"))

df2

structure(list(AD_BORING_2= c(5L, 2L, 6L, 4L, 5L, 1L, 7L, 6L,
7L, 6L, 5L, 4L, 3L, 4L, 6L, 4L, 3L, 6L, 6L, 6L, 2L, 3L, 1L, 7L,
6L, 6L, 3L, 2L, 6L, 4L, 6L, 3L, 4L, 4L, 2L, 6L, 5L, 3L, 4L, 4L,
3L, 6L, 3L, 6L, 6L, 6L, 6L, 6L, 7L, 4L, 5L, 5L, 7L, 3L, 4L, 2L,
3L, 6L, 4L, 6L, 6L, 5L, 6L, 3L, 6L, 7L, 6L, 6L, 3L, 6L, 3L, 6L,
3L, 6L, 6L, 4L, 4L, 1L, 4L, 4L, 4L, 5L, 6L, 4L, 4L, 3L, 6L, 6L,
6L, 2L, 6L, 4L, 1L, 4L, 1L, 4L, 6L, 4L, 5L, 4L, 7L, 6L, 4L, 6L,
6L, 6L, 6L, 6L, 6L, 4L, 7L, 4L, 4L, 3L, 6L, 6L, 6L, 1L, 7L, 6L,
6L, 6L, 3L, 5L, 5L, 5L, 5L, 5L, 7L, 6L, 6L, 5L, 6L, 7L, 2L, 6L,
6L, 4L, 5L, 5L, 6L, 3L, 6L, 7L, 6L, 5L, 6L, 6L, 1L, 5L, 6L, 6L,
7L, 7L, 6L, 5L, 6L, 6L, 7L, 5L, 7L, 6L, 6L, 7L, 6L, 6L, 6L, 4L,
6L, 5L, 6L, 6L, 3L, 6L, 6L, 6L, 7L, 4L, 4L, 5L, 7L, 7L, 2L, 7L,
4L, 6L, 4L, 6L, 5L, 7L, 4L, 7L, 7L, 5L, 3L, 5L, 6L, 4L, 2L, 7L,
6L, 6L, 6L, 3L, 7L, 5L, 3L, 3L, 6L, 5L, 5L, 7L, 5L, 6L, 4L, 6L,
6L, 6L, 6L, 6L, 7L, 6L, 5L, 7L, 4L, 7L, 4L, 6L, 4L, 7L, 3L, 6L,
7L, 6L, 3L, 5L, 7L, 5L, 6L, 7L, 7L, 6L, 7L, 6L, 5L, 6L, 7L, 3L,
5L, 6L, 4L, 2L, 5L, 6L, 6L, 5L, 5L, 2L, 4L, 3L, 5L, 6L, 6L, 6L,
6L, 6L, 4L, 4L, 3L, 7L, 6L, 7L, 5L, 6L, 4L, 4L, 7L, 4L, 5L, 3L,
2L, 1L, 5L, 4L, 3L, 6L, 6L, 6L, 5L, 6L, 4L, 5L, 5L, 5L, 6L, 7L,
6L, 5L, 4L, 4L), AD_IRRITATING_2= c(3L, 3L, 3L, 3L, 5L, 1L,
6L, 6L, 7L, 7L, 6L, 6L, 5L, 7L, 6L, 4L, 2L, 5L, 6L, 6L, 5L, 3L,
3L, 7L, 6L, 7L, 3L, 2L, 7L, 3L, 6L, 3L, 4L, 5L, 4L, 6L, 6L, 7L,
6L, 4L, 3L, 7L, 3L, 6L, 7L, 6L, 6L, 6L, 6L, 6L, 5L, 5L, 6L, 5L,
6L, 4L, 4L, 5L, 5L, 6L, 7L, 5L, 6L, 4L, 6L, 7L, 6L, 6L, 6L, 6L,
4L, 6L, 4L, 6L, 6L, 4L, 4L, 2L, 3L, 2L, 4L, 6L, 6L, 4L, 6L, 4L,
6L, 6L, 6L, 4L, 6L, 4L, 2L, 6L, 3L, 4L, 7L, 6L, 6L, 4L, 7L, 6L,
5L, 5L, 6L, 5L, 6L, 6L, 6L, 4L, 7L, 4L, 4L, 3L, 6L, 3L, 6L, 4L,
7L, 6L, 2L, 6L, 4L, 6L, 6L, 7L, 2L, 6L, 7L, 6L, 6L, 5L, 5L, 7L,
4L, 6L, 6L, 4L, 6L, 7L, 6L, 6L, 6L, 7L, 6L, 5L, 6L, 6L, 6L, 5L,
6L, 5L, 6L, 7L, 6L, 6L, 7L, 6L, 7L, 6L, 6L, 6L, 6L, 4L, 6L, 4L,
7L, 3L, 6L, 4L, 5L, 7L, 4L, 6L, 7L, 2L, 7L, 4L, 4L, 7L, 6L, 6L,
6L, 7L, 3L, 5L, 4L, 6L, 6L, 7L, 4L, 2L, 6L, 6L, 4L, 4L, 7L, 4L,
3L, 7L, 6L, 4L, 4L, 4L, 7L, 5L, 4L, 4L, 4L, 4L, 6L, 6L, 6L, 7L,
4L, 6L, 4L, 6L, 4L, 6L, 7L, 6L, 5L, 7L, 4L, 7L, 4L, 6L, 4L, 6L,
7L, 6L, 6L, 6L, 5L, 3L, 5L, 5L, 6L, 6L, 7L, 6L, 7L, 7L, 5L, 4L,
7L, 6L, 5L, 5L, 5L, 1L, 6L, 3L, 7L, 6L, 6L, 4L, 6L, 3L, 5L, 6L,
6L, 6L, 7L, 6L, 2L, 6L, 7L, 7L, 6L, 7L, 6L, 6L, 4L, 6L, 7L, 4L,
6L, 3L, 4L, 3L, 5L, 4L, 5L, 6L, 6L, 6L, 7L, 6L, 4L, 6L, 5L, 5L,
6L, 6L, 7L, 6L, 2L, 4L), AD_DISTURBING_2= c(3L, 6L, 2L, 4L,
3L, 7L, 1L, 2L, 1L, 2L, 3L, 4L, 5L, 4L, 2L, 4L, 5L, 2L, 2L, 2L,
6L, 5L, 7L, 1L, 2L, 2L, 5L, 6L, 2L, 4L, 2L, 5L, 4L, 4L, 6L, 2L,
3L, 5L, 4L, 4L, 5L, 2L, 5L, 2L, 2L, 2L, 2L, 2L, 1L, 4L, 3L, 3L,
1L, 5L, 4L, 6L, 5L, 2L, 4L, 2L, 2L, 3L, 2L, 5L, 2L, 1L, 2L, 2L,
5L, 2L, 5L, 2L, 5L, 2L, 2L, 4L, 4L, 7L, 4L, 4L, 4L, 3L, 2L, 4L,
4L, 5L, 2L, 2L, 2L, 6L, 2L, 4L, 7L, 4L, 7L, 4L, 2L, 4L, 3L, 4L,
1L, 2L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 1L, 4L, 4L, 5L, 2L, 2L,
2L, 7L, 1L, 2L, 2L, 2L, 5L, 3L, 3L, 3L, 3L, 3L, 1L, 2L, 2L, 3L,
2L, 1L, 6L, 2L, 2L, 4L, 3L, 3L, 2L, 5L, 2L, 1L, 2L, 3L, 2L, 2L,
7L, 3L, 2L, 2L, 1L, 1L, 2L, 3L, 2L, 2L, 1L, 3L, 1L, 2L, 2L, 1L,
2L, 2L, 2L, 4L, 2L, 3L, 2L, 2L, 5L, 2L, 2L, 2L, 1L, 4L, 4L, 3L,
1L, 1L, 6L, 1L, 4L, 2L, 4L, 2L, 3L, 1L, 4L, 1L, 1L, 3L, 5L, 3L,
2L, 4L, 6L, 1L, 2L, 2L, 2L, 5L, 1L, 3L, 5L, 5L, 2L, 3L, 3L, 1L,
3L, 2L, 4L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 3L, 1L, 4L, 1L, 4L, 2L,
4L, 1L, 5L, 2L, 1L, 2L, 5L, 3L, 1L, 3L, 2L, 1L, 1L, 2L, 1L, 2L,
3L, 2L, 1L, 5L, 3L, 2L, 4L, 6L, 3L, 2L, 2L, 3L, 3L, 6L, 4L, 5L,
3L, 2L, 2L, 2L, 2L, 2L, 4L, 4L, 5L, 1L, 2L, 1L, 3L, 2L, 4L, 4L,
1L, 4L, 3L, 5L, 6L, 7L, 3L, 4L, 5L, 2L, 2L, 2L, 3L, 2L, 4L, 3L,
3L, 3L, 2L, 1L, 2L, 3L, 4L, 4L), AD_CREDIBLE_2= c(5L, 6L, 4L,
6L, 4L, 7L, 4L, 5L, 7L, 4L, 4L, 4L, 2L, 5L, 4L, 4L, 3L, 5L, 2L,
6L, 1L, 2L, 2L, 4L, 6L, 4L, 3L, 2L, 6L, 3L, 5L, 4L, 3L, 5L, 2L,
2L, 4L, 1L, 5L, 4L, 5L, 2L, 2L, 5L, 4L, 5L, 3L, 4L, 5L, 4L, 5L,
5L, 1L, 2L, 4L, 5L, 4L, 4L, 5L, 5L, 6L, 5L, 6L, 5L, 5L, 5L, 4L,
4L, 4L, 6L, 4L, 6L, 1L, 5L, 1L, 4L, 3L, 2L, 2L, 5L, 4L, 4L, 6L,
4L, 4L, 3L, 2L, 6L, 6L, 2L, 5L, 1L, 2L, 2L, 5L, 4L, 6L, 3L, 3L,
2L, 4L, 6L, 3L, 5L, 2L, 1L, 2L, 5L, 5L, 4L, 6L, 5L, 5L, 3L, 2L,
5L, 5L, 2L, 6L, 6L, 3L, 2L, 5L, 5L, 6L, 5L, 4L, 3L, 7L, 5L, 4L,
5L, 3L, 1L, 5L, 2L, 6L, 4L, 2L, 5L, 6L, 3L, 4L, 4L, 6L, 3L, 4L,
4L, 2L, 5L, 5L, 6L, 5L, 1L, 6L, 3L, 5L, 3L, 4L, 6L, 5L, 6L, 4L,
2L, 1L, 4L, 6L, 5L, 4L, 1L, 5L, 4L, 5L, 4L, 7L, 5L, 5L, 4L, 4L,
5L, 3L, 6L, 3L, 6L, 5L, 5L, 2L, 2L, 5L, 1L, 6L, 4L, 7L, 1L, 3L,
3L, 3L, 2L, 2L, 1L, 6L, 2L, 5L, 4L, 1L, 6L, 4L, 2L, 2L, 4L, 1L,
7L, 5L, 2L, 3L, 3L, 4L, 2L, 6L, 5L, 7L, 4L, 5L, 5L, 4L, 6L, 5L,
4L, 4L, 2L, 5L, 4L, 4L, 6L, 4L, 4L, 4L, 5L, 3L, 6L, 7L, 3L, 7L,
4L, 4L, 2L, 6L, 3L, 4L, 3L, 4L, 2L, 2L, 2L, 2L, 5L, 5L, 3L, 4L,
2L, 4L, 4L, 4L, 5L, 5L, 4L, 2L, 5L, 6L, 4L, 5L, 6L, 3L, 5L, 2L,
6L, 6L, 4L, 5L, 5L, 3L, 5L, 5L, 3L, 4L, 4L, 1L, 3L, 5L, 6L, 5L,
6L, 3L, 2L, 3L, 5L, 6L, 5L, 5L, 4L), AD_GOOD_2= c(4L, 6L, 5L,
5L, 5L, 7L, 6L, 5L, 7L, 6L, 5L, 4L, 3L, 4L, 4L, 4L, 6L, 5L, 5L,
6L, 2L, 3L, 2L, 5L, 6L, 6L, 4L, 2L, 4L, 4L, 6L, 5L, 4L, 4L, 2L,
3L, 5L, 3L, 5L, 4L, 3L, 5L, 2L, 6L, 5L, 4L, 6L, 5L, 5L, 4L, 5L,
5L, 5L, 5L, 5L, 4L, 4L, 5L, 4L, 5L, 7L, 5L, 6L, 5L, 6L, 6L, 5L,
6L, 4L, 6L, 4L, 4L, 5L, 5L, 5L, 4L, 5L, 2L, 2L, 6L, 4L, 5L, 6L,
4L, 2L, 3L, 3L, 5L, 5L, 5L, 6L, 4L, 2L, 3L, 4L, 4L, 6L, 4L, 5L,
3L, 5L, 6L, 3L, 5L, 4L, 6L, 6L, 5L, 5L, 4L, 7L, 4L, 5L, 5L, 5L,
6L, 5L, 1L, 7L, 6L, 3L, 5L, 5L, 5L, 6L, 5L, 3L, 5L, 7L, 5L, 5L,
5L, 6L, 7L, 6L, 5L, 4L, 4L, 5L, 5L, 6L, 4L, 5L, 7L, 6L, 5L, 4L,
5L, 2L, 5L, 6L, 6L, 6L, 6L, 5L, 5L, 6L, 5L, 6L, 5L, 5L, 5L, 5L,
3L, 4L, 5L, 7L, 5L, 6L, 3L, 4L, 5L, 5L, 2L, 6L, 5L, 7L, 4L, 4L,
6L, 6L, 6L, 4L, 7L, 4L, 5L, 5L, 6L, 5L, 6L, 6L, 5L, 7L, 5L, 2L,
5L, 5L, 3L, 2L, 7L, 6L, 5L, 5L, 4L, 4L, 5L, 4L, 4L, 5L, 4L, 4L,
7L, 5L, 6L, 4L, 6L, 5L, 6L, 5L, 6L, 7L, 6L, 5L, 6L, 5L, 6L, 5L,
6L, 4L, 6L, 7L, 5L, 4L, 5L, 5L, 4L, 5L, 5L, 6L, 6L, 7L, 6L, 7L,
6L, 5L, 2L, 6L, 5L, 5L, 4L, 5L, 3L, 5L, 2L, 6L, 5L, 6L, 4L, 6L,
2L, 5L, 6L, 5L, 6L, 7L, 5L, 2L, 4L, 3L, 4L, 4L, 6L, 5L, 6L, 2L,
4L, 6L, 4L, 6L, 3L, 3L, 2L, 5L, 5L, 3L, 6L, 5L, 5L, 5L, 6L, 5L,
6L, 5L, 5L, 5L, 7L, 5L, 6L, 2L, 5L), AD_HONEST_2= c(5L, 6L,
3L, 5L, 4L, 7L, 4L, 5L, 7L, 4L, 4L, 4L, 3L, 4L, 1L, 4L, 4L, 4L,
4L, 6L, 2L, 3L, 2L, 5L, 6L, 4L, 3L, 2L, 5L, 3L, 5L, 3L, 3L, 4L,
4L, 2L, 4L, 3L, 4L, 4L, 3L, 1L, 2L, 4L, 5L, 4L, 5L, 5L, 5L, 3L,
4L, 5L, 4L, 3L, 6L, 4L, 3L, 4L, 4L, 4L, 4L, 4L, 5L, 6L, 6L, 6L,
5L, 4L, 4L, 6L, 4L, 4L, 1L, 4L, 4L, 4L, 5L, 3L, 2L, 5L, 3L, 4L,
5L, 4L, 3L, 3L, 3L, 2L, 6L, 3L, 6L, 4L, 2L, 4L, 5L, 4L, 4L, 2L,
5L, 3L, 5L, 4L, 3L, 6L, 4L, 2L, 4L, 2L, 4L, 4L, 6L, 4L, 5L, 3L,
3L, 6L, 6L, 2L, 4L, 5L, 4L, 5L, 4L, 5L, 6L, 4L, 2L, 6L, 7L, 4L,
4L, 7L, 4L, 4L, 6L, 2L, 7L, 4L, 2L, 5L, 6L, 4L, 4L, 7L, 4L, 3L,
5L, 5L, 2L, 3L, 4L, 3L, 4L, 2L, 3L, 3L, 5L, 4L, 4L, 4L, 2L, 4L,
4L, 2L, 4L, 4L, 4L, 5L, 4L, 1L, 5L, 4L, 4L, 4L, 4L, 5L, 4L, 4L,
4L, 4L, 6L, 5L, 4L, 7L, 5L, 4L, 4L, 4L, 5L, 4L, 4L, 3L, 6L, 4L,
4L, 4L, 4L, 3L, 4L, 1L, 4L, 2L, 4L, 3L, 4L, 1L, 4L, 3L, 4L, 6L,
4L, 4L, 5L, 4L, 4L, 5L, 5L, 3L, 4L, 4L, 7L, 4L, 4L, 4L, 4L, 4L,
5L, 5L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 2L, 5L, 5L, 5L, 7L, 4L,
7L, 4L, 4L, 2L, 4L, 3L, 4L, 5L, 4L, 3L, 4L, 1L, 4L, 5L, 5L, 4L,
6L, 1L, 4L, 5L, 5L, 6L, 6L, 5L, 3L, 5L, 5L, 2L, 4L, 6L, 4L, 5L,
2L, 4L, 6L, 4L, 6L, 2L, 4L, 2L, 5L, 2L, 3L, 4L, 1L, 3L, 4L, 6L,
5L, 6L, 3L, 5L, 5L, 4L, 5L, 5L, 5L, 5L), AD_TRUTHFUL_2= c(5L,
6L, 3L, 6L, 4L, 7L, 2L, 4L, 7L, 4L, 4L, 4L, 4L, 1L, 1L, 4L, 1L,
3L, 2L, 6L, 2L, 2L, 4L, 4L, 6L, 4L, 3L, 2L, 5L, 2L, 5L, 3L, 1L,
4L, 4L, 2L, 4L, 2L, 4L, 1L, 3L, 1L, 2L, 4L, 4L, 3L, 6L, 2L, 4L,
2L, 3L, 5L, 2L, 2L, 5L, 3L, 4L, 4L, 3L, 5L, 6L, 5L, 5L, 5L, 6L,
6L, 6L, 4L, 4L, 6L, 4L, 5L, 2L, 6L, 4L, 4L, 5L, 2L, 1L, 4L, 3L,
4L, 6L, 4L, 4L, 2L, 2L, 2L, 5L, 2L, 6L, 2L, 1L, 2L, 1L, 4L, 3L,
1L, 4L, 1L, 5L, 4L, 1L, 4L, 3L, 3L, 4L, 3L, 6L, 4L, 5L, 4L, 5L,
3L, 2L, 6L, 6L, 1L, 4L, 5L, 4L, 3L, 4L, 5L, 6L, 4L, 3L, 5L, 7L,
4L, 4L, 5L, 4L, 1L, 5L, 2L, 2L, 4L, 2L, 6L, 6L, 3L, 3L, 6L, 4L,
2L, 4L, 5L, 2L, 2L, 2L, 6L, 6L, 2L, 2L, 2L, 6L, 3L, 6L, 4L, 1L,
5L, 3L, 1L, 1L, 4L, 4L, 5L, 4L, 1L, 4L, 2L, 1L, 4L, 6L, 5L, 4L,
3L, 4L, 4L, 6L, 5L, 4L, 7L, 4L, 5L, 4L, 3L, 4L, 1L, 3L, 3L, 5L,
2L, 2L, 3L, 1L, 2L, 4L, 1L, 5L, 1L, 2L, 3L, 1L, 2L, 4L, 6L, 2L,
6L, 4L, 4L, 4L, 2L, 2L, 2L, 2L, 3L, 4L, 2L, 7L, 6L, 4L, 4L, 1L,
4L, 5L, 5L, 4L, 2L, 6L, 4L, 4L, 4L, 5L, 4L, 2L, 5L, 1L, 4L, 7L,
2L, 7L, 2L, 2L, 1L, 4L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 5L,
4L, 2L, 1L, 4L, 5L, 2L, 4L, 4L, 4L, 1L, 4L, 6L, 2L, 4L, 6L, 3L,
5L, 2L, 5L, 6L, 4L, 6L, 1L, 2L, 4L, 5L, 2L, 3L, 4L, 1L, 3L, 4L,
6L, 6L, 6L, 1L, 3L, 1L, 6L, 6L, 5L, 2L, 3L), AD_LIKEABLE_2= c(3L,
5L, 5L, 5L, 5L, 7L, 6L, 4L, 7L, 6L, 5L, 5L, 3L, 4L, 2L, 5L, 1L,
3L, 5L, 6L, 2L, 1L, 2L, 5L, 7L, 6L, 2L, 4L, 7L, 3L, 6L, 3L, 4L,
4L, 2L, 6L, 5L, 2L, 3L, 2L, 2L, 4L, 2L, 6L, 4L, 5L, 6L, 5L, 4L,
4L, 3L, 6L, 1L, 5L, 4L, 4L, 4L, 6L, 1L, 5L, 6L, 5L, 6L, 3L, 6L,
7L, 5L, 5L, 1L, 4L, 4L, 5L, 3L, 4L, 6L, 4L, 4L, 1L, 1L, 5L, 5L,
5L, 6L, 4L, 5L, 4L, 4L, 6L, 4L, 1L, 6L, 3L, 1L, 4L, 1L, 4L, 6L,
4L, 4L, 3L, 5L, 4L, 3L, 5L, 5L, 6L, 6L, 2L, 4L, 4L, 7L, 6L, 4L,
2L, 6L, 4L, 6L, 1L, 6L, 6L, 4L, 6L, 3L, 3L, 2L, 6L, 3L, 5L, 7L,
6L, 5L, 6L, 3L, 7L, 5L, 6L, 5L, 4L, 5L, 4L, 6L, 4L, 5L, 6L, 6L,
5L, 3L, 6L, 2L, 5L, 1L, 6L, 3L, 1L, 2L, 2L, 6L, 5L, 6L, 5L, 4L,
5L, 4L, 6L, 4L, 2L, 7L, 5L, 6L, 5L, 3L, 6L, 2L, 2L, 3L, 4L, 7L,
2L, 4L, 5L, 6L, 4L, 5L, 7L, 4L, 4L, 5L, 5L, 5L, 5L, 4L, 5L, 4L,
4L, 1L, 6L, 5L, 3L, 1L, 7L, 4L, 1L, 4L, 1L, 4L, 1L, 5L, 2L, 6L,
5L, 4L, 6L, 4L, 5L, 3L, 2L, 2L, 4L, 6L, 6L, 4L, 2L, 5L, 6L, 4L,
6L, 4L, 6L, 4L, 5L, 5L, 4L, 1L, 3L, 5L, 5L, 5L, 5L, 7L, 2L, 7L,
5L, 7L, 6L, 5L, 4L, 4L, 4L, 4L, 1L, 4L, 4L, 3L, 2L, 5L, 3L, 6L,
3L, 7L, 1L, 5L, 4L, 2L, 6L, 6L, 3L, 1L, 6L, 3L, 2L, 5L, 6L, 5L,
7L, 5L, 4L, 6L, 4L, 6L, 2L, 1L, 2L, 6L, 4L, 3L, 6L, 5L, 5L, 4L,
5L, 4L, 6L, 5L, 5L, 5L, 6L, 5L, 6L, 1L, 5L), AD_ENJOYABLE_2= c(4L,
5L, 5L, 4L, 5L, 5L, 7L, 4L, 7L, 6L, 5L, 5L, 4L, 4L, 4L, 5L, 2L,
5L, 7L, 6L, 2L, 1L, 2L, 5L, 7L, 5L, 2L, 2L, 7L, 2L, 6L, 3L, 4L,
4L, 2L, 6L, 5L, 3L, 5L, 2L, 3L, 5L, 2L, 6L, 6L, 5L, 6L, 4L, 4L,
3L, 4L, 6L, 5L, 5L, 4L, 3L, 5L, 6L, 2L, 5L, 6L, 4L, 6L, 3L, 6L,
6L, 6L, 5L, 3L, 4L, 4L, 5L, 4L, 5L, 6L, 4L, 4L, 1L, 2L, 5L, 5L,
5L, 6L, 4L, 6L, 4L, 3L, 6L, 6L, 2L, 5L, 2L, 2L, 4L, 2L, 4L, 7L,
4L, 4L, 3L, 6L, 6L, 4L, 5L, 6L, 6L, 7L, 2L, 5L, 4L, 7L, 5L, 4L,
5L, 6L, 6L, 6L, 4L, 6L, 5L, 4L, 6L, 4L, 6L, 6L, 5L, 4L, 5L, 7L,
6L, 6L, 5L, 3L, 7L, 4L, 6L, 5L, 4L, 6L, 4L, 6L, 4L, 6L, 7L, 7L,
3L, 3L, 6L, 2L, 5L, 7L, 5L, 6L, 6L, 5L, 6L, 6L, 5L, 4L, 5L, 5L,
5L, 4L, 6L, 2L, 3L, 7L, 3L, 6L, 5L, 3L, 6L, 3L, 5L, 5L, 4L, 7L,
5L, 4L, 6L, 6L, 5L, 5L, 7L, 4L, 4L, 2L, 6L, 5L, 7L, 4L, 6L, 4L,
5L, 2L, 6L, 5L, 3L, 1L, 7L, 6L, 4L, 5L, 3L, 7L, 3L, 5L, 5L, 7L,
5L, 5L, 7L, 3L, 3L, 3L, 5L, 2L, 5L, 6L, 7L, 5L, 5L, 4L, 7L, 5L,
6L, 4L, 6L, 4L, 5L, 6L, 6L, 3L, 4L, 6L, 4L, 6L, 5L, 7L, 6L, 7L,
6L, 7L, 6L, 5L, 4L, 6L, 5L, 4L, 3L, 5L, 3L, 6L, 3L, 6L, 5L, 6L,
3L, 7L, 3L, 5L, 5L, 5L, 6L, 6L, 3L, 2L, 6L, 6L, 2L, 6L, 6L, 5L,
6L, 2L, 5L, 7L, 4L, 7L, 3L, 1L, 3L, 5L, 4L, 5L, 6L, 5L, 5L, 5L,
6L, 5L, 6L, 4L, 5L, 6L, 5L, 6L, 6L, 1L, 5L), LIKE_2= c(3L, 4L,
4L, 4L, 5L, 7L, 6L, 5L, 7L, 5L, 4L, 4L, 1L, 4L, 6L, 5L, 2L, 5L,
5L, 5L, 1L, 2L, 1L, 5L, 7L, 5L, 3L, 3L, 6L, 4L, 6L, 4L, 4L, 4L,
2L, 5L, 4L, 4L, 4L, 1L, 3L, 5L, 2L, 5L, 5L, 5L, 5L, 4L, 5L, 2L,
4L, 5L, 5L, 4L, 4L, 3L, 2L, 6L, 3L, 5L, 6L, 5L, 6L, 4L, 6L, 6L,
6L, 6L, 1L, 5L, 2L, 5L, 5L, 5L, 5L, 3L, 6L, 1L, 2L, 5L, 5L, 5L,
6L, 4L, 5L, 4L, 2L, 6L, 5L, 3L, 6L, 3L, 2L, 4L, 1L, 4L, 6L, 4L,
4L, 2L, 5L, 5L, 4L, 5L, 5L, 6L, 6L, 3L, 4L, 4L, 6L, 6L, 4L, 3L,
5L, 5L, 6L, 4L, 7L, 6L, 4L, 6L, 4L, 6L, 5L, 6L, 3L, 5L, 7L, 5L,
5L, 5L, 2L, 6L, 4L, 5L, 5L, 3L, 4L, 5L, 5L, 4L, 5L, 7L, 6L, 5L,
4L, 5L, 1L, 5L, 6L, 6L, 5L, 5L, 5L, 6L, 6L, 5L, 4L, 5L, 5L, 5L,
6L, 6L, 4L, 5L, 6L, 4L, 6L, 5L, 4L, 6L, 4L, 3L, 6L, 4L, 6L, 4L,
4L, 5L, 6L, 6L, 4L, 7L, 4L, 5L, 3L, 5L, 5L, 5L, 4L, 7L, 6L, 5L,
2L, 4L, 5L, 3L, 2L, 7L, 5L, 5L, 5L, 3L, 6L, 5L, 5L, 2L, 6L, 5L,
5L, 7L, 5L, 5L, 4L, 5L, 2L, 6L, 6L, 6L, 7L, 5L, 5L, 6L, 5L, 6L,
5L, 6L, 1L, 5L, 6L, 6L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L,
7L, 5L, 5L, 4L, 6L, 5L, 5L, 3L, 5L, 2L, 5L, 3L, 6L, 6L, 5L, 4L,
5L, 2L, 5L, 6L, 5L, 6L, 5L, 5L, 2L, 5L, 4L, 3L, 6L, 7L, 5L, 6L,
1L, 4L, 6L, 4L, 6L, 3L, 2L, 2L, 6L, 5L, 3L, 6L, 4L, 5L, 4L, 5L,
4L, 6L, 4L, 5L, 5L, 5L, 5L, 6L, 1L, 5L)), row.names= c(NA, -300L
), class= c("tbl_df", "tbl", "data.frame"))

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