Using str(data) would have been more informative.
"data" it turns out is a dataframe with a single column. which is a
factor with rownames. Not the most typical of constructions, but the
authors must have had their reasons ....
data$Value[row.names(data)=="Float"]
# [1] 1.30B
# 52 Levels: -1.00% -11.40% -18.69% -38.03% 0.04% 0.78 06-Feb-09 09-
Mar-09 ... NA
# ... or to get rid of those annoying factor levels...
as.character(data[row.names(data)=="Float", ] )
# [1] "1.30B"
On Apr 27, 2009, at 6:55 PM, David Winsemius wrote:
On Apr 27, 2009, at 3:43 PM, J Toll wrote:
I am trying to extract one particular piece of data(Float) from all
the data returned by yahooKeystats, but thus far I'm having no luck.
This is what I've got so far:
library(fImport)
Loading required package: timeSeries
Loading required package: timeDate
data<-yahooKeystats("IBM")
trying URL 'http://finance.yahoo.com/q/ks?s=IBM'
Content type 'text/html; charset=utf-8' length unknown
opened URL
.......... .......... .......... .......
downloaded 37 Kb
Read 151 items
typeof(data)
[1] "list"
data
Value
Symbol IBM
Date 2009-04-27
Market Cap (intraday) <span id="yfs_j10_ibm">132.36B
Enterprise Value (27-Apr-09) 150.79B
Trailing PE (ttm intraday) 11.13
Fiscal Year Ends 31-Dec
Most Recent Quarter (mrq) 31-Mar-09
Profit Margin (ttm) 12.21%
Operating Margin (ttm) 17.40%
Return on Assets (ttm) 9.80%
Return on Equity (ttm) 58.16%
Revenue (ttm) 100.84B
Revenue Per Share (ttm) 74.845
Qtrly Revenue Growth (yoy) -11.40%
Gross Profit (ttm) 45.66B
EBITDA (ttm) 23.01B
Net Income Avl to Common (ttm) 12.31B
Diluted EPS (ttm) 9.01
Qtrly Earnings Growth (yoy) -1.00%
Total Cash (mrq) 12.30B
Total Cash Per Share (mrq) 9.314
Total Debt (mrq) 30.98B
Total DebtEquity (mrq) NA
Current Ratio (mrq) 1.176
Book Value Per Share (mrq) 10.304
Operating Cash Flow (ttm) 18.81B
Levered Free Cash Flow (ttm) 12.03B
Beta 0.78
52-Week Change -18.69%
S&P500 52-Week Change -38.03%
52-Week High (24-Jul-08) 130.93
52-Week Low (21-Nov-08) 69.50
50-Day Moving Average 96.26
200-Day Moving Average 89.12
Average Volume (3 month) 11641500
Average Volume (10 day) 10376000
Shares Outstanding 1.32B
Float 1.30B
% Held by Insiders 0.04%
% Held by Institutions 60.80%
Shares Short (as of 26-Mar-09) 19.41M
Short Ratio (as of 26-Mar-09) 1.7
Short % of Float (as of 26-Mar-09) 1.40%
Shares Short (prior month) 19.30M
Forward Annual Dividend Rate 2.00
Forward Annual Dividend Yield 2.00%
Trailing Annual Dividend Rate 2.00
Trailing Annual Dividend Yield 2.00%
5 Year Average Dividend Yield 1.30%
Payout Ratio 21%
Dividend Date 09-Mar-09
Ex-Dividend Date 06-Feb-09
Last Split Factor (new per old) 2/1
Last Split Date 27-May-99
From the help page, it says that yahooKeystats returns a dataframe,
but typeof() lists it as a list.
Well, a dataframe is a list after all.
Is there a way to just pull out the
number of float shares? Something along the lines of:
data$Float or data[Float]
The first would give you a vector of all the values of Float in that
dataframe. The second would probably not give you what you want,
because that is a construction that would presume Float to be a
logical vector.
Neither have worked for me. Thanks.
Define "worked". Around these parts "did not work" requires code
that produces some sort of error message or <something> that departs
from what you expected (which should also be explicitly stated).
David Winsemius, MD
Heritage Laboratories
West Hartford, CT
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