将Excel资产负债表导入R

Question

我试图导入R资产负债表的Excel电子表格，我试图导入它，所以它看起来或多或少像现在的资产负债表。

Assets                2011,    2010,   2009
Non current assets    32.322   3.111   
intangible assets     12,222

这些方面的东西。我也试图导入第二个标签，这也是一个不同的资产负债表。我的想法是，我可能有50个或更多的资产负债表。这对分析来说效率低吗？

我只对每个资产负债表中的一些相同变量感兴趣（想想，流动资产，所有年份的非流动资产等）是否可以从excel spead表中导入特定的行和列？

例如只是导入;

A) Non current assets   32.322      3.111       322
B) Current assets   345     543     2.233

等等？ - 行名称不会更改，所以我可以使用函数来执行此操作吗？

Answer 1

看看quantmod !!

library(quantmod)
library(xlsx)
getFin("GS")
gs_BS <- GS.f$BS$A
str(gs_BS)

 #num [1:42, 1:4] 106533 NA 113003 71883 NA ...
 #- attr(*, "dimnames")=List of 2
 # ..$ : chr [1:42] "Cash & Equivalents" "Short Term Investments" "Cash and Short Term Investments" "Accounts Receivable - Trade, Net" ...
 # ..$ : chr [1:4] "2015-12-31" "2014-12-31" "2013-12-31" "2012-12-31"
 #- attr(*, "col_desc")= chr [1:4] "As of 2015-12-31" "As of 2014-12-31" "As of 2013-12-31" "As of 2012-12-31"

transposed <- t(gs_BS)
write.xlsx(transposed, "C:\\Users\\your_path_here\\Desktop\\bal_sheet.xlsx", row.names=FALSE)
transp <- read.xlsx("C:\\Users\\your_path_here\\Desktop\\bal_sheet.xlsx" , sheetName="Sheet1")
transp$year <- c("2015","2014","2013","2012")")

这也很好。

require(quantmod)

equityList <- read.csv("EquityList.csv", header = FALSE, stringsAsFactors = FALSE)
names(equityList) <- c ("Ticker")

for (i in 1 : length(equityList$Ticker)) {   
        temp<-getFinancials(equityList$Ticker[i],src="google",auto.assign=FALSE)
        write.csv(temp$IS$A,paste(equityList$Ticker[i],"_Income_Statement(Annual).csv",sep=""))
        write.csv(temp$IS$A,paste(equityList$Ticker[i],"_Balance_Sheet(Annual).csv",sep=""))
        write.csv(temp$IS$A,paste(equityList$Ticker[i],"_Cash_Flow(Annual).csv",sep=""))
        write.csv(temp$IS$A,paste(equityList$Ticker[i],"_Income_Statement(Quarterly).csv",sep=""))
        write.csv(temp$IS$A,paste(equityList$Ticker[i],"_Balance_Sheet(Quaterly).csv",sep=""))
        write.csv(temp$IS$A,paste(equityList$Ticker[i],"_Cash_Flow(Quaterly).csv",sep=""))
}

另外，检查一下。

https://msperlin.github.io/pafdR/importingInternet.html

还有其他方法可以做很相似的事情。如果您需要更多帮助，请回复。