[英]PostgreSQL, R: Multiply all rows of table to create Panel-data (time-series)
[英]Reshape time-series data into panel-data with multiple subjects and variables in r
我具有以下格式的原始面板數據 ,並希望將其重塑為經典的面板數據格式,然后在面板數據回歸中使用它。
以數字開頭的列名稱是excel日期格式的時間。 重塑數據后,應該有一個公司和時間列以及“變量”列中列出的數據項列。 從R:
dput(head(df.example))
structure(list(Firm = c("ABB LTD N", "Facebook", "Nestle", "ABB LTD N",
"Facebook", "Nestle"), Variable = c("Price", "Price", "Price",
"Market Value", "Market Value", "Market Value"), `32508` = c(110.67,
162500, 14.355, 809735, 9.647, 2223.87), `32538` = c(110.35,
162000, 14.355, 809735, 8.836, 2036.94), `32568` = c(115.29,
16925, 14.355, 809735, 10.556, 2433.36), `32598` = c(130.61,
19175, 14.355, 809735, 11.744, 2707.32), `32628` = c(146.34,
4130, 14.355, 809735, 12.975, 162000)), row.names = c(NA, -6L
), class = c("tbl_df", "tbl", "data.frame"))
我嘗試使用reshape2 :: melt和reshape2 :: cast函數來完成此操作,但無濟於事。 我找不到類似的問題。 非常感謝。
我不確定您的列名是否帶有數字,但是解決方法是使用data.table
。 (我考慮[ ?as.Date
]中記錄的Excel原點("1900-01-01")
來考慮("1900-01-01")
)
library(data.table)
df2 <- melt(df,id = c("Firm","Variable"), variable.name = "date")
setDT(df2)[,date := as.Date(as.numeric(paste(date)), origin = "1900-01-01"))]
df2
#returns
Firm Variable date value
1: ABB LTD N Price 1989-01-02 110.670
2: Facebook Price 1989-01-02 162500.000
3: Nestle Price 1989-01-02 14.355
4: ABB LTD N Market Value 1989-01-02 809735.000
5: Facebook Market Value 1989-01-02 9.647
6: Nestle Market Value 1989-01-02 2223.870
7: ABB LTD N Price 1989-02-01 110.350
8: Facebook Price 1989-02-01 162000.000
9: Nestle Price 1989-02-01 14.355
10: ABB LTD N Market Value 1989-02-01 809735.000
11: Facebook Market Value 1989-02-01 8.836
12: Nestle Market Value 1989-02-01 2036.940
13: ABB LTD N Price 1989-03-03 115.290
14: Facebook Price 1989-03-03 16925.000
15: Nestle Price 1989-03-03 14.355
16: ABB LTD N Market Value 1989-03-03 809735.000
17: Facebook Market Value 1989-03-03 10.556
18: Nestle Market Value 1989-03-03 2433.360
19: ABB LTD N Price 1989-04-02 130.610
20: Facebook Price 1989-04-02 19175.000
21: Nestle Price 1989-04-02 14.355
22: ABB LTD N Market Value 1989-04-02 809735.000
23: Facebook Market Value 1989-04-02 11.744
24: Nestle Market Value 1989-04-02 2707.320
25: ABB LTD N Price 1989-05-02 146.340
26: Facebook Price 1989-05-02 4130.000
27: Nestle Price 1989-05-02 14.355
28: ABB LTD N Market Value 1989-05-02 809735.000
29: Facebook Market Value 1989-05-02 12.975
30: Nestle Market Value 1989-05-02 162000.000
Firm Variable date value
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