factor_analysis
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factor_analysis [2022/06/09 09:45] – old revision restored (2022/05/07 16:14) hkimscil | factor_analysis [2023/11/06 02:51] – [Communality (공통성)] hkimscil | ||
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| Y3 | $S_{31}$ | | Y3 | $S_{31}$ | ||
- | 실제 데이터에서 구한 variance covariance table은 아래와 같다. | + | 실제 데이터에서 구한 variance covariance table은 아래와 같다((편의상 여기 분산값은 n으로 (n-1이 아닌) 나눠 준 것)). |
| Variable | | Variable | ||
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## 예를 들어 | ## 예를 들어 | ||
fd <- read.csv(" | fd <- read.csv(" | ||
+ | fd <- fd[, -1] # 처음 id 컬럼 지우기 | ||
cov(fd) | cov(fd) | ||
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각주 1) -> finance = 수학능력 = F1 | 각주 1) -> finance = 수학능력 = F1 | ||
각주 2), 3) -> marketing, policy = 언어능력 = F2 | 각주 2), 3) -> marketing, policy = 언어능력 = F2 | ||
- | 각주 | + | 각주 |
< | < | ||
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| Economics | | Economics | ||
| Total | | Total | ||
+ | ===== Specificity ===== | ||
+ | | Variable | ||
+ | | Climate | ||
+ | | Housing | ||
+ | | Health | ||
+ | | Crime | ||
+ | | Transportation | ||
+ | | Education | ||
+ | | Arts | 0.754 | | | ||
+ | | Recreation | ||
+ | | Economics | ||
+ | | Total | ||
====== Methods (functions) in R ====== | ====== Methods (functions) in R ====== | ||
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[[https:// | [[https:// | ||
[[https:// | [[https:// | ||
+ | see exploratory factor analysis :: {{youtube> |
factor_analysis.txt · Last modified: 2023/11/06 02:53 by hkimscil