People: PCA of Lab Members
PCA, or "principle component analysis," is a method of translating correlated variables into uncorrelated variables. The first component is defined to explain as much of the variability in the data as possible, and the second component explains as much variability in the data as possible, given that it is orthogonal to the first component. PCA is used in genetics (and many other fields) to discern the internal structure of a given data set, and can give insights into which data are most similar to which other data in that given data set. Being the geeks that we are, we have applied this method to our lab members. Which members are most similar to each other, given their responses to a series of questions?
Question | Hua | Sandra | Sophie | Emily | Yoohna |
---|---|---|---|---|---|
Food: |
A
|
B
|
A |
A
|
A
|
Personality: |
B
|
A
|
B
|
A
|
B
|
Sleep: |
B
|
B
|
B
|
B
|
A
|
Caffeine intake: |
B
|
A
|
A
|
B
|
A
|
Driving: |
B
|
A
|
B
|
B
|
B
|
Music: |
A
|
B
|
B
|
A
|
A
|
Adventure level: |
B
|
B
|
A
|
A
|
B
|
Lactose tolerance: |
B
|
A |
B
|
A |
A
|
Reading: |
A
|
A
|
A
|
A
|
A
|
Age-old question:
A. Nature or B. Nurture |
A
|
A
|
A
|
A
|
A
|
Pet preference:
A. Cat or B. Dog |
A |
A
|
A
|
B
|
B
|
Fav Flav: |
B
|
A
|
A
|
A
|
B
|
PC1 | PC2 | PC3 | PC4 | PC5 | |
Hua | 0.50628871 | -0.38581762 | -0.27591035 | 0.71351799 | -0.09788801 |
Sandra | -0.63581058 | -0.03319705 | -0.07196222 | 0.30894627 | -0.70286308 |
Sophie | 0.01194515 | -0.80635596 | -0.16548641 | -0.53465984 | -0.19078910 |
Emily | 0.28266227 | -0.12358482 | 0.89273054 | 0.03298822 | -0.32676108 |
Yoonha | 0.50928971 | 0.42960398 | -0.30715038 | -0.32938566 | -0.59433000 |
PC1 | PC2 | PC3 | PC4 | PC5 | |
Food | -2.1858632 | 9.736781e-01 | 0.07309607 | 0.11913031 | 0.323137522 |
Personality | 1.0824695 | -4.755911e-01 | -1.25550364 | -0.64143008 | -0.008080163 |
Sleep | -0.5677086 | -1.594314e+00 | 0.91668423 | 0.64568855 | -0.874276886 |
Caffeine | 0.6408690 | -7.545997e-05 | 1.37002687 | 1.06186240 | 0.848808481 |
Driving | 1.6298426 | -7.149121e-01 | 0.47326161 | -0.57754868 | -0.640850269 |
Music | -2.1631989 | -5.562748e-01 | -0.24089233 | -0.89531542 | -0.038859343 |
Adventure | -0.1714367 | 9.900759e-01 | -1.08086949 | 0.97128753 | -1.007171799 |
Milk | 0.1161602 | -1.290707e+00 | -0.67272677 | -0.01646474 | 1.119581721 |
Pet | 0.5590611 | 1.613759e+00 | 1.35843869 | -1.04022551 | -0.076205967 |
Flavor | 1.0598051 | 1.054362e+00 | -0.94151525 | 0.37301565 | 0.353916702 |