词汇得分 vs. 自我认定的社会阶层

R 中的数值数据推断

Mine Cetinkaya-Rundel

Associate Professor of the Practice, Duke University

词汇得分与自我认定的社会阶层

  • wordsum:10道词汇测试(得分 0–10)
  • class:自我认定的社会阶层(lower、working、middle、upper)
   wordsum  class 
1        6 MIDDLE  
2        9 WORKING 
3        6 WORKING 
4        5 WORKING 
5        6 WORKING 
6        6 WORKING 
...    ...     ...     
795      9 MIDDLE  
R 中的数值数据推断
  1. SPACE(school, noon, captain, room, board, don't know)
  2. BROADEN(efface, make level, elapse, embroider, widen, don't know)
  3. EMANATE(populate, free, prominent, rival, come, don't know)
  4. EDIBLE(auspicious, eligible, fit to eat, sagacious, able to speak, don't know)
  5. ANIMOSITY(hatred, animation, disobedience, diversity, friendship, don't know)
  6. PACT(puissance, remonstrance, agreement, skillet, pressure, don't know)
  7. CLOISTERED(miniature, bunched, arched, malady, secluded, don't know)
  8. CAPRICE(value, a star, grimace, whim, inducement, don't know)
  9. ACCUSTOM(disappoint, customary, encounter, get used to, business, don't know)
  10. ALLUSION(reference, dream, eulogy, illusion, aria, don't know)
R 中的数值数据推断

词汇得分分布

ggplot(data = gss, aes(x = wordsum)) +
  geom_histogram(binwidth = 1)

wordsum 的直方图

R 中的数值数据推断

自我认定的社会阶层:`class`

如果必须在四种社会阶层名称中选择一种,您认为自己属于哪一类:lower、working、middle 或 upper?

ggplot(data = gss, aes(x = wordsum)) +
  geom_histogram(binwidth = 1)

class 的柱状图

R 中的数值数据推断

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R 中的数值数据推断

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