4# l1t
标准化后有+、-值,为什么图像中只有正数,x代表什么
. infix str province 3-18 population 19-40 using "C:\pop.txt"
(31 observations read)
. egen stdx= std(population) , mean(0) std(1)
. cluster s stdx
cluster name: _clus_1
. cluster dend, labels(province) hori ylabel(, labsize(tiny) angle(horizontal))
. list province stdx
+----------------------------+
| province stdx |
|----------------------------|
1. | Beijing -1.057223 |
2. | Tianjin -1.169107 |
3. | Hebei 1.003535 |
4. | Shanxi -.3115871 |
5. | Inner_Mongolia -.6317539 |
|----------------------------|
6. | Liaoning .0697481 |
7. | Jilin -.5159983 |
8. | Heilongjiang -.0789146 |
9. | Shanghai -.9728262 |
10. | Jiangsu 1.240854 |
|----------------------------|
11. | Zhejiang .1855036 |
12. | Anhui .8544856 |
13. | Fujian -.2624201 |
14. | Jiangxi .0829109 |
15. | Shandong 1.881961 |
|----------------------------|
16. | Henan 2.066628 |
17. | Hubei .7472472 |
18. | Hunan .9775968 |
19. | Guangdong 1.225755 |
20. | Guangxi .2702878 |
|----------------------------|
21. | Hainan -1.248084 |
22. | Chongqing -.3549471 |
23. | Sichuan 1.748397 |
24. | Guizhou -.123436 |
25. | Yunnan .0647152 |
|----------------------------|
26. | Tibet -1.442043 |
27. | Shaanxi -.1474388 |
28. | Gansu -.5643911 |
29. | Qinghai -1.34487 |
30. | Ningxia -1.33132 |
|----------------------------|
31. | Xinjiang -.863265 |
+----------------------------+
.