使用stargazer分析包含时间序列的数据框 [英] Analysing a data frame that contains a time series using stargazer
问题描述
我的面板数据集为10磅。和3个变量。
（30个观察点的数量= 10行（=国家）* 2列（=迁移参数）*相应年份的1col。
我的数据框包括3个年度数据框。
I have a panel data set of 10 obs. and 3 variables. (# of obs. 30 = 10 rows (= countries) * 2 columns (= migration parameters) * 1col for the respective year. My data frame consists of 3 annual data frames, so to say.
如何考虑到它是一个面板数据集（因此，最大N = 10）如何在整个时间内应用 stargazer ），也就是说，R应该在第11行之后重新开始。我想获得用于描述性统计数据的漂亮表
How can I apply stargazer on the whole period of time by taking into account that it is a panel data set (so max N=10)? That is, R should start over after every 11th row. I'd like to get the pretty table for descriptive statistics
前三年的数据集：
structure(list(Population = c(21759420, 8696916, 1946351, 14689726,
8212264, 491723, 18907008, 4345386, 11133861, 657229, 22549547,
8944706, 1979882, 15141099, 8489031, 496963, 19432541, 4404230,
11502786, 673252, 23369131, 9199259, 2014866, 15605217, 8766930,
502384, 19970495, 4448525, 11887202, 689692), Distance..km. = c(7243L,
4290L, 9500L, 3789L, 6452L, 2211L, 4667L, 5036L, 4047L, 9140L,
7243L, 4290L, 9500L, 3789L, 6452L, 2211L, 4667L, 5036L, 4047L,
9140L, 7243L, 4290L, 9500L, 3789L, 6452L, 2211L, 4667L, 5036L,
4047L, 9140L), year = c(2008, 2008, 2008, 2008, 2008, 2008, 2008,
2008, 2008, 2008, 2009, 2009, 2009, 2009, 2009, 2009, 2009, 2009,
2009, 2009, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010,
2010)), .Names = c("Population", "Distance..km.", "year"), row.names = c(1L,
2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 50L, 51L, 52L, 53L, 54L,
55L, 56L, 57L, 58L, 59L, 99L, 100L, 101L, 102L, 103L, 104L, 105L,
106L, 107L, 108L), class = "data.frame")
我仍然从N = 30获得描述性统计数据，但应该是N = 10，因为我正在寻找整个三年的描述性统计数据，因此每年的数据框架都应被认为是孤立的。
希望我能全面表达问题
I still get descriptive statistics from N=30, but it should N=10, since I'm looking for the descriptive statistics of the whole period of three years and each yearly data frame needs to be considered isolated for that. Hope I expressed the problem comprehensibly
推荐答案
您可以使用 split + lapply 从基数R：
You can either use split + lapply from base R:
library(stargazer)
lapply(split(df, df$year), stargazer, type = "text")
或 by ：
by(df, df$year, stargazer, type = 'text')
结果：
===============================================================
Statistic N Mean St. Dev. Min Max
---------------------------------------------------------------
Population 10 9,083,988.000 7,541,970.000 491,723 21,759,420
Distance..km. 10 5,637.500 2,385.941 2,211 9,500
year 10 2,008.000 0.000 2,008 2,008
---------------------------------------------------------------
===============================================================
Statistic N Mean St. Dev. Min Max
---------------------------------------------------------------
Population 10 9,361,404.000 7,798,880.000 496,963 22,549,547
Distance..km. 10 5,637.500 2,385.941 2,211 9,500
year 10 2,009.000 0.000 2,009 2,009
---------------------------------------------------------------
===============================================================
Statistic N Mean St. Dev. Min Max
---------------------------------------------------------------
Population 10 9,645,370.000 8,065,676.000 502,384 23,369,131
Distance..km. 10 5,637.500 2,385.941 2,211 9,500
year 10 2,010.000 0.000 2,010 2,010
---------------------------------------------------------------
df$year: 2008
[1] ""
[2] "==============================================================="
[3] "Statistic N Mean St. Dev. Min Max "
[4] "---------------------------------------------------------------"
[5] "Population 10 9,083,988.000 7,541,970.000 491,723 21,759,420"
[6] "Distance..km. 10 5,637.500 2,385.941 2,211 9,500 "
[7] "year 10 2,008.000 0.000 2,008 2,008 "
[8] "---------------------------------------------------------------"
--------------------------------------------------------------------------
df$year: 2009
[1] ""
[2] "==============================================================="
[3] "Statistic N Mean St. Dev. Min Max "
[4] "---------------------------------------------------------------"
[5] "Population 10 9,361,404.000 7,798,880.000 496,963 22,549,547"
[6] "Distance..km. 10 5,637.500 2,385.941 2,211 9,500 "
[7] "year 10 2,009.000 0.000 2,009 2,009 "
[8] "---------------------------------------------------------------"
--------------------------------------------------------------------------
df$year: 2010
[1] ""
[2] "==============================================================="
[3] "Statistic N Mean St. Dev. Min Max "
[4] "---------------------------------------------------------------"
[5] "Population 10 9,645,370.000 8,065,676.000 502,384 23,369,131"
[6] "Distance..km. 10 5,637.500 2,385.941 2,211 9,500 "
[7] "year 10 2,010.000 0.000 2,010 2,010 "
[8] "---------------------------------------------------------------"
这两种方法的缺点是它们两次打印出表格（一次是从 stargazer 输出，另一个来自 lapply / by ）。要解决此问题，可以使用步行表格 purrr 只能呼叫 stargazer ，因为它具有以下副作用：
The disadvantage of these two methods is that they print out the tables twice (once from stargazer output, another from lapply/by). To get around this, you can use walk form purrr to only call stargazer for it's side-effects:
library(dplyr)
library(purrr)
df %>%
split(.$year) %>%
walk(~ stargazer(., type = "text"))
结果：
===============================================================
Statistic N Mean St. Dev. Min Max
---------------------------------------------------------------
Population 10 9,083,988.000 7,541,970.000 491,723 21,759,420
Distance..km. 10 5,637.500 2,385.941 2,211 9,500
year 10 2,008.000 0.000 2,008 2,008
---------------------------------------------------------------
===============================================================
Statistic N Mean St. Dev. Min Max
---------------------------------------------------------------
Population 10 9,361,404.000 7,798,880.000 496,963 22,549,547
Distance..km. 10 5,637.500 2,385.941 2,211 9,500
year 10 2,009.000 0.000 2,009 2,009
---------------------------------------------------------------
===============================================================
Statistic N Mean St. Dev. Min Max
---------------------------------------------------------------
Population 10 9,645,370.000 8,065,676.000 502,384 23,369,131
Distance..km. 10 5,637.500 2,385.941 2,211 9,500
year 10 2,010.000 0.000 2,010 2,010
---------------------------------------------------------------
注意：
以上所有方法均可用于乳胶输出（ type = latex ）。我仅出于说明目的设置 type = text 。
All methods above works for latex output (type = "latex"). I only set type = "text" for demonstrative purposes.
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