I believe (unchecked) that you need OHLC data for candlesticks. You can use
to.TTT functions to make some from your daily data.
Michael
On Dec 21, 2011, at 11:52 PM, Adrian Berg wrote:
> Both
>> barChart(dataxts,bar.type='hlc')
>> candleChart(dataxts)
> give the same results as well.
>
> On
Both
> barChart(dataxts,bar.type='hlc')
> candleChart(dataxts)
give the same results as well.
On Wed, Dec 21, 2011 at 11:15 PM, Adrian Berg wrote:
> Thanks to mrflick on Freenode, I was able to get chartSeries to plot the data.
>
> data$date<-strptime(data$date, format="%Y-%m-%d")
> dataxts<-xts(
Thanks to mrflick on Freenode, I was able to get chartSeries to plot the data.
data$date<-strptime(data$date, format="%Y-%m-%d")
dataxts<-xts(data$price, order.by=data$date)
chartSeries(dataxts)
chartSeries(dataxts, type="candlesticks") plots the same graph though:
http://i.imgur.com/P0Jh0.png
W
> colnames = c("date","price")
> data = read.csv(file="data.csv", sep=",", header=F, nrows=261, skip=5,
> col.names=colnames)
> library(quantmod)
> data
date price
1 2011-12-18 13.7825
2 2011-12-11 13.5500
...
...
...
259 2007-01-07 10.8256
260 2006-12-31 10.8531
261 2006-12-24 10.
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