동과 서
kable(t(as.matrix(table(monkey), 1)))
kable(t(as.matrix(table(leader), 1)))
kable(t(as.matrix(table(saucer), 1)))
kable(table(saucer, monkey))
맨 위 |
7 |
3 |
0 |
중간 |
0 |
0 |
0 |
맨 아래 |
9 |
2 |
0 |
Selective Attention
How many passes?
kable(t(as.matrix(table(satQ_1))))
kable(t(as.matrix(table(satQ_1.2))))
kable(t(as.matrix(prop.table(table(satQ_1.2)))))
Did you see the gorilla?
kable(t(as.matrix(table(satQ_2))))
kable(t(as.matrix(prop.table(table(satQ_2)))))
Selective Attention Test에서 패스 성공횟수 카운트와 고릴라 인지 여부
kable(addmargins(table("패스성공횟수" = satQ_1.2, "고릴라?" = satQ_2)))
15 |
3 |
2 |
5 |
not 15 |
6 |
10 |
16 |
Sum |
9 |
12 |
21 |
kable(prop.table(table("패스성공횟수" = satQ_1.2, "고릴라?" = satQ_2), margin = 1))
15 |
0.60 |
0.40 |
not 15 |
0.38 |
0.62 |
Monkey Business Illusion
How many passes?
kable(t(as.matrix(table(mbiQ_1))))
kable(t(as.matrix(table(mbiQ_1.2))))
kable(t(as.matrix(prop.table(table(mbiQ_1.2)))))
Did you see the gorilla?
kable(t(as.matrix(table(mbiQ_2))))
kable(t(as.matrix(prop.table(table(mbiQ_2)))))
Curtain color changed?
kable(t(as.matrix(table(mbiQ_3))))
kable(t(as.matrix(prop.table(table(mbiQ_3)))))
One of the black team member left?
kable(t(as.matrix(table(mbiQ_4))))
kable(t(as.matrix(prop.table(table(mbiQ_4)))))
패스 성공횟수 카운트와 고릴라 인지 여부, 커튼색깔 변화 인지 여부, 선수퇴장 인지 여부.
kable(addmargins(table("패스성공횟수" = mbiQ_1.2, "고릴라?" = mbiQ_2)))
16 |
16 |
3 |
19 |
not 16 |
2 |
1 |
3 |
Sum |
18 |
4 |
22 |
kable(prop.table(table("패스성공횟수" = mbiQ_1.2, "고릴라?" = mbiQ_2), margin = 1))
16 |
0.84 |
0.16 |
not 16 |
0.67 |
0.33 |
kable(addmargins(table("패스성공횟수" = mbiQ_1.2, "커튼 색깔이?" = mbiQ_3)))
16 |
2 |
17 |
19 |
not 16 |
1 |
2 |
3 |
Sum |
3 |
19 |
22 |
kable(prop.table(table("패스성공횟수" = mbiQ_1.2, "커튼 색깔이?" = mbiQ_3), margin = 1))
16 |
0.11 |
0.89 |
not 16 |
0.33 |
0.67 |
kable(addmargins(table("패스성공횟수" = mbiQ_1.2, "선수 퇴장?" = mbiQ_4)))
16 |
2 |
17 |
19 |
not 16 |
0 |
3 |
3 |
Sum |
2 |
20 |
22 |
kable(prop.table(table("패스성공횟수" = mbiQ_1.2, "선수 퇴장?" = mbiQ_4), margin = 1))
16 |
0.11 |
0.89 |
not 16 |
0.00 |
1.00 |
Chocolate
kable(t(as.matrix(table(chocolate), 1)))
pander(summary(chocolate))
Save
save.image(file = "./gorilla_1402.RData")