【问题标题】:How to do some computations on DF for a certain group and year如何对某个组和某个年份的 DF 进行一些计算
【发布时间】:2021-12-09 16:20:23
【问题描述】:

我有以下数据结构,并想在实现以下计算后绘制一个图: share <- (df[,4]/sum(df[,4]))^2 by year 这样我就可以在同一平面上为每个组绘制两个年度份额图,如下所示(x 和 y 轴的比例是随机选择的)。

(这个叫做HHI指数,我想按年份绘制HHI图的单条趋势线

你能帮忙吗?

structure(list(kiscode = structure(c("350257", "500607", "351253", 
"320498", "351156", "360252", "360317", "360228", "380911", "381152", 
"310140", "310166", "370274", "310026", "350648", "310123", "350117", 
"380806", "320129", "340251", "370118", "370177", "370150", "360287", 
"360090", "380784", "351350", "370053", "310190", "381160", "380938", 
"380733", "310590", "351067", "310476", "350451", "310174", "340324", 
"310433", "350320", "381250", "310131", "320099", "340154", "320218", 
"350591", "380989", "380954", "380474", "360155", "320293", "350729", 
"320536", "350940", "320242", "380725", "320692", "380377", "370070", 
"320730", "350478", "380407", "370088", "350745", "350354", "350893", 
"370355", "370266", "350281", "320234", "350826", "351245", "330019", 
"350664", "100013", "320102", "350605", "381519", "320234", "320536", 
"381497", "350427", "310476", "370169", "350940", "360090", "380377", 
"320307", "351067", "310239", "380989", "360341", "350672", "320692", 
"381225", "310026", "500607", "380784", "370177", "360279", "350605", 
"320129", "350729", "350893", "351253", "380180", "370150", "350478", 
"350044", "310247", "370070", "381250", "380725", "380644", "350109", 
"350117", "382892", "320242", "351075", "320498", "380938", "360309", 
"350354", "350508", "340251", "310166", "350257", "320099", "381519", 
"350338", "370274", "310425", "340324", "360228", "350826", "380407", 
"320293", "330019", "320684", "351245", "350664", "310433", "310204", 
"380954", "350222", "370118", "320730", "310174", "352691", "351350", 
"350591", "360244", "320218", "380130", "320722", "310123", "351229", 
"320226", "380075", "351202", "380733", "310590", "380911", "350451", 
"320102", "351270", "360317", "351237", "370266", "310131", "310140", 
"370088", "320706", "350320", "360155", "380458", "310190", "351040", 
"380148", "381160", "350648", "100013", "350281", "351156", "381152", 
"350745", "370053", "360252", "360287", "340154", "350605", "350109", 
"380148", "320684", "350893", "350354", "500607", "350990", "320218", 
"310476"), format.stata = "%6s"), year = structure(c(1980, 1980, 
1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 
1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 
1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 
1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 
1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 
1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 
1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1980, 1981, 
1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 
1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 
1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 
1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 
1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 
1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 
1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 
1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 
1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 
1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 1981, 
1981, 1982, 1982, 1982, 1982, 1982, 1982, 1982, 1982, 1982, 1982
), format.stata = "%9.0g"), group = structure(c(0, 0, 0, 1, 
0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 
0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 
0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 
0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 
1, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 
0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 
0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 
0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 
0, 1, 0, 0, 0, 1, 1), format.stata = "%8.0g"), asset = structure(c(18285348000, 
131784602000, 62865288000, 33838416000, 6360425000, 541330024000, 
22984591000, 132764602000, 213239161000, 6541576000, 49222411000, 
14139029000, 21186479000, 24339944000, 28434461000, 34758175000, 
17158988000, 15005232000, 217819358000, 25009066000, 58045333000, 
36533137000, 41099893000, 57162344000, 83874586000, 44872170000, 
45377311000, 28931137000, 30997921000, 6330526000, 50391070000, 
16471520000, 44011174000, 130526305000, 47629107000, 16930929000, 
76886460000, 29793379000, 110228999000, 4901957000, 13125490000, 
32708711000, 46811999000, 26297430000, 159598422000, 36722653000, 
14065113000, 299788090000, 4559409000, 16989303000, 5749583000, 
11320038000, 7566338000, 375368800000, 72924040000, 255463903000, 
36229805000, 84495668000, 147094202000, 134657126000, 18782347000, 
253086691000, 13385963000, 16256468000, 23786698000, 47589241000, 
8763943000, 187501484000, 6170263000, 93930236000, 91398637000, 
791687216000, 30833118000, 25927689000, 33738516000, 38081496000, 
20336333000, 74751893000, 191479919000, 10653474000, 6876018000, 
13974417000, 46282129000, 17031189000, 363957318000, 108913679000, 
99681110000, 12349372000, 153999084000, 63909181000, 19277127000, 
81424045000, 11976339000, 40404825000, 13215386000, 25694216000, 
218146702000, 50509180000, 46809912000, 8186674000, 26102731000, 
261698899000, 16279150000, 76399748000, 72255263000, 84773886000, 
53674439000, 20085234000, 9232070000, 12270735000, 152733380000, 
13605821000, 290913632000, 28622103000, 9080301000, 28835122000, 
898727627000, 79616356000, 17597661000, 37693427000, 70049637000, 
39413617000, 29126200000, 8434708000, 36338306000, 18034628000, 
17198072000, 62211779000, 112464191000, 37197557000, 25438818000, 
206704722000, 45275691000, 141347351000, 108806329000, 306891682000, 
6972372000, 38738858000, 55206596000, 895706255000, 32565599000, 
114178659000, 56217409000, 349187101000, 46372238000, 73244335000, 
146703938000, 84758892000, 76188179000, 51280724000, 44309538000, 
65066954000, 196115732000, 52854113000, 75028310000, 47956445000, 
40110855000, 140101705000, 27473652000, 4121326000, 25702217000, 
40537799000, 246498647000, 19932395000, 33344051000, 5409390000, 
24963711000, 7037719000, 235262813000, 40815511000, 66612981000, 
16495717000, 163887186000, 6185102000, 18941997000, 49019044000, 
40537839000, 17564451000, 49208650000, 9704707000, 28922397000, 
34829185000, 10982438000, 9184309000, 6185990000, 16737065000, 
31329834000, 644676975000, 88048087000, 26251573000, 27469120000, 
7539382000, 49168982000, 57080458000, 99468197000, 33985447000, 
295995241000, 16875791000, 209381233000, 57214594000), format.stata = "%12.0g")), row.names = c(NA, 
-200L), class = c("tbl_df", "tbl", "data.frame"))

【问题讨论】:

  • 5代表的是df[,5]
  • 请分享您的预期结果,并说明您希望在每个组和每年做什么。
  • 第 5 列,即资产。
  • 这实际上是第 4 列。您的示例甚至没有 5 列,即检查 dim(df) 得到 200 4
  • 我再说一遍,请分享您的预期数据结果。在当前状态下,您将获得多个值,例如1980 年的第 0 组,然后绘制没有意义。您需要的是每个组/年组合的一个值。但是,这不是您在上面的公式中描述的内容。

标签: r dataframe ggplot2


【解决方案1】:

更新!好的,在谷歌上搜索 hhi (即份额的平方和)后的新尝试。

library(tidyverse)
df_new <- df %>%
  group_by(year, group) %>%
  mutate(share = asset/sum(asset) * 100,
         year = as_factor(year),
         group = as_factor(group)) %>%
  summarize(hhi = sum(share^2))

给出:

# A tibble: 6 x 3
# Groups:   year [3]
  year  group      hhi
  <fct> <fct>    <dbl>
1 1980     0  391.3174
2 1980     1  896.2375
3 1981     0  292.5786
4 1981     1  632.0987
5 1982     0 4134.3289
6 1982     1 4088.3348

然后你可以用:

df_new %>%
 ggplot() +
 geom_line(aes(x = year, y = hhi, group = group, color = group))

【讨论】:

  • 不,我只想按组计算每年的 HHI 指数,然后绘制两条趋势线。
  • 查看您问题下方的评论。请澄清您的预期结果是什么。上面的计算完全符合您的要求。但似乎这不是你想要的,所以请澄清一下。例如。对于 1980 年,第 0 组 - 预期结果是什么? 1980 年和第 1 组也一样?
  • 对不起,你是对的。也许我错误地输入了公式。所以我修改了公式。然后你能告诉我如何按组绘制吗?
  • 这并没有显着改变结果,它只是将结果缩小了 100 倍。如果您的问题是如何绘制这些数据,请打开一个新问题。也因为完全不清楚 xy 在图中是什么。
  • x 应该是年份和 y HHI 索引。谢谢
猜你喜欢
  • 2014-12-10
  • 1970-01-01
  • 1970-01-01
  • 1970-01-01
  • 1970-01-01
  • 1970-01-01
  • 1970-01-01
  • 1970-01-01
  • 2016-09-03
相关资源
最近更新 更多