从函数调用时,未在图形上绘制addSMA

时间:2012-11-24 04:04:56

标签: r quantmod

我是R的新手并且被困在这里。我试图用价格,电子邮件和电子邮件绘制图表。

当我从命令行调用图表时,它包括价格,sma和ema:

tickers = c("BIIB","ISRG","AIG","FITB","GE","JNY","VIAB","WFM","WMB")

x= 1

print(paste("Preparing ADX graph for :",paste(tickers[x])))
tmp <- read.csv(paste(tickers[x],".csv", sep=""),as.is=TRUE, header=TRUE, row.names=NULL) 
tmp$Date<-as.Date(tmp$Date)
ydat = xts(tmp[,-1],tmp$Date) 
names(ydat) <- c("Open","High","Low","Close","Volume","Adjusted")

# convert it into montly price
ydat.monthly <- to.monthly(ydat)

jpegname <- paste(tickers[x], "MonthlyMovingAverage.jpeg", sep="") 
jpeg( filename=jpegname,height=600, width=1600) 

lineChart(ydat.monthly["1998/"], TA=NULL, name=paste(tickers[x],"Monthly & 10 Month Moving Average"))
addSMA(10)
addEMA(10)

dev.off()

但是将其付诸实践:

MovingMonthlyAverageGraph <- function(tickers)
{

    source("code.r")
    load.packages('quantmod')   

    for (x in 1:(length(tickers)) ) 
    { 
       print(paste("Preparing ADX graph for :",paste(tickers[x])))
       tmp <- read.csv(paste(tickers[x],".csv", sep=""),as.is=TRUE, header=TRUE, row.names=NULL) 
       tmp$Date<-as.Date(tmp$Date)
       ydat = xts(tmp[,-1],tmp$Date) 
       names(ydat) <- c("Open","High","Low","Close","Volume","Adjusted")

       # convert it into montly price
       ydat.monthly <- to.monthly(ydat)

       jpegname <- paste(tickers[x], "MonthlyMovingAverage.jpeg", sep="") 
       jpeg( filename=jpegname,height=600, width=1600) 

       lineChart(ydat.monthly["1998/"], TA=NULL, name=paste(tickers[x],"Monthly & 10 Month Moving Average"))
       addSMA(10)
       addEMA(10)

       dev.off()
    }
}

并称为:

tickers = c("BIIB","ISRG","AIG","FITB","GE","JNY","VIAB","WFM","WMB")
MovingMonthlyAverageGraph(tickers)

仅提取价格,但忽略了sma和ema线。

我在这里做错了什么?

1 个答案:

答案 0 :(得分:9)

围绕你的add *电话打开plot

plot(addSMA(10))
plot(addEMA(10))

我认为您也可以在lineChart来电中添加这些内容。 (另)

lineChart(ydat.monthly["1998/"], TA="addSMA(10);addEMA(10)", name=paste(tickers[x],"Monthly & 10 Month Moving Average"))