用R计算相关矩阵

各位大神，帮忙指导一下如何计算相关矩阵，大概的数据格式如下
    代码，日期，回报，名称
    000300,20101001,0.23，A
    000300,20101002,0.15，A
    000300,20101003,0.03，A
    000300,20101004,0.40，A
    000301,20101001,0.05，B
    000301,20101002,0.19，B
    000301,20101003,0.11，B
    000301,20101004,0.26，B
    000302,20101001,0.31，C
    000302,20101002,0.03，C
    000302,20101003,0.01，C
    000302,20101004,0.27，C


希望的结果是
    A    B   C
A  1    ab   ac
B  ba   1    bc
C  ca   cb    1

因为要算的变量在一个column里面，不是多个，所以没啥头绪

1. inlineText <- "代码,日期,回报,名称
   
2. 000300,20101001,0.23,A
   
3. 000300,20101002,0.15,A
   
4. 000300,20101003,0.03,A
   
5. 000300,20101004,0.40,A
   
6. 000301,20101001,0.05,B
   
7. 000301,20101002,0.19,B
   
8. 000301,20101003,0.11,B
   
9. 000301,20101004,0.26,B
   
10. 000302,20101001,0.31,C
    
11. 000302,20101002,0.03,C
    
12. 000302,20101003,0.01,C
    
13. 000302,20101004,0.27,C
    
14. "
    
15. 
    
16. library(dplyr)
    
17. library(tidyr)
    
18. df <- read.csv(text = inlineText) %>%
    
19.     select(-代码)%>%
    
20.     spread(名称,回报) %>%
    
21.     select(-日期)
    
22. 
    
23. cor(df)

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结果(Pearson)：

1.           A          B          C
   
2. A 1.0000000  0.5562639  0.8011441
   
3. B 0.5562639  1.0000000 -0.0474336
   
4. C 0.8011441 -0.0474336  1.0000000

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hszest 发表于 2018-11-16 11:18
结果(Pearson)：

感谢感谢