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--- factor_analysis [2022/12/06 08:35] – [Reference] hkimscil
+++ factor_analysis [2023/11/06 02:53] (current) – [E.g. 2] hkimscil
@@ Line 458: / Line 458: @@
 | Economics       |  @lightgreen:0.728  |
 | Total           |  5.617  |
+===== Specificity =====
+| Variable  |  Communality  |  Specificity  |
+| Climate         |  0.795  |  @lightgray:1-0.795  |
+| Housing         |  0.518  |     |
+| Health          |  0.722  |     |
+| Crime           |  0.512  |     |
+| Transportation  |  0.51   |     |
+| Education       |  0.561  |     |
+| Arts            |  0.754  |     |
+| Recreation      |  0.517  |     |
+| Economics       |  0.728  |     |
+| Total           |  5.617  |     |
 ====== Methods (functions) in R ======
@@ Line 469: / Line 481: @@
 <code>
-mydata <- read.csv("http://commres.net/wiki/_media/r/dataset_exploratoryfactoranalysis.csv")
+my.data <- read.csv("http://commres.net/wiki/_media/r/dataset_exploratoryfactoranalysis.csv")
 # if data as NAs, it is better to omit them:
 my.data <- na.omit(my.data)
@@ Line 1554: / Line 1566: @@
 [[https://stats.oarc.ucla.edu/spss/seminars/introduction-to-factor-analysis/a-practical-introduction-to-factor-analysis/]]
 [[https://advstats.psychstat.org/book/factor/efa.php]]
-see {{youtube>Ollp2nSQCLY}}
+see exploratory factor analysis :: {{youtube>Ollp2nSQCLY}}