Description Usage Arguments Examples
Merge list of data.frames into data.table by key column
1 |
x |
named list of data.frames |
key |
column name to merge by |
value |
column name of value variable |
na.omit |
should leading NA values be omitted? |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | from = '1990-01-01'
to = '2016-08-30'
symbols = fread( '
symbol, comment
EFA, iShares MSCI EAFE Index Fund
VTI, Vanguard Total Stock Market
TLT, iShares 20+ Year Treasury Bond
RWX, SPDR Dow Jones International RelEst
IEV, iShares Europe
IEF, iShares 7-10 Year Treasury Bond
ICF, iShares Cohen & Steers Realty Maj.
GLD, SPDR Gold Shares
EWJ, iShares MSCI Japan
EEM, iShares MSCI Emerging Markets
DBC, PowerShares DB Commodity Tracking' )
# download historical market data
prices_list = lapply_named( symbols$'symbol', get_yahoo_data, from, to )
# table of close prices
prices = lmerge( prices_list, 'date' , 'close' )
# calculate returns and performance
dates = prices[, date ]
prices[, date := NULL ]
returns = lapply( prices, returns ) %>% setDT
performance = lapply( returns + 1, cumprod ) %>% setDT
# plot historical values
plot_ts( data.table( dates, returns ), legend = 'topleft' )
plot_ts( data.table( dates, prices ), legend = 'topleft' )
plot_ts( data.table( dates, performance ), legend = 'topleft' )
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