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如何在字符中使用Cl()?

[英]How to use Cl() with character?

I have a list of symbols in a csv file and I want to screen for the ones with closing price higher than 5. 我在csv文件中有一个交易品种列表,我想筛选收盘价高于5的交易品种。

I already ran getSymbols for all items in the csv file. 我已经为csv文件中的所有项目运行了getSymbols。

My test runs into error here. 我的测试在这里出错。 I think it's because Cl() doesn't accept characters as arguments. 我认为这是因为Cl()不接受字符作为参数。 How can I convert character to xts? 如何将字符转换为XTS?

> library(quantmod)

> passingset
         V1
1       AAB
2    AAR-UN
3       AAV
4       ABT
5       ABX
       (...)

> class(passingset)
[1] "data.frame"
> class(passingset$V1)
[1] "character"


> #Remove closing price < 5
> for (i in 1:nrow(passingset)){
+   company <- passingset$V1[i]
+   if(Cl(company)[length(Cl(company))] < 5){
+     passingset <- passingset[!(passingset$V1 == company),, drop = FALSE]
+   } else 
+       i = i + 1
+   
+   rm(company)
+ }
**Error in Cl(company) : 
  subscript out of bounds: no column name containing "Close"**

No need for looping! 无需循环! Assuming you have read the price series with getSymbols as you mentioned above then: 假设您已经阅读了如上所述的getSymbols价格系列,那么:

# an example set of tickers:
pasingset <- data.frame(V1=c('CWB','EEM','VTI','NAK','GIG'),stringsAsFactors = F)

# this gets you the last closings of your tickers
lastClose <- sapply(pasingset$V1,function(x) xts::last(Cl(get(x))))

# shows the tickers which have a close > 5
pasingset$V1[which(lastClose > 5)]
[1] "CWB" "EEM" "VTI"

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