This is the tail of an xts object:
SPY.Close mavg dn.1 up.1
2011-02-16 133.85 132.446 128.8502 130.9545
2011-02-17 134.25 132.793 129.0212 131.2241
2011-02-18 134.53 133.131 129.2198 131.5016
2011-02-22 131.83 133.117 129.4104 131.6236
2011-02-23 131.02 132.962 129.5961 131.7072
2011-02-24 130.93 132.828 129.7575 131.7792
Given a simple nested ifelse() function passed across each day:
signal <- ifelse(t$mavg > t$up.1, 1, ifelse(t$mavg < t$dn.1, -1, 99))
The value from this rule can be added to the object:
t$signal = signal
Yielding the new object (I've taken a section for illustration):
SPY.Close mavg dn.1 up.1 signal
2010-11-18 119.96 120.713 118.17955 119.99845 1
2010-11-19 120.29 120.470 118.33112 120.09688 1
2010-11-22 120.19 120.240 118.47911 120.18489 1
2010-11-23 118.45 119.924 118.55112 120.20888 99
2010-11-24 120.20 119.734 118.63565 120.27635 99
How can I re-write the nested ifelse() statement so that each time it evaluates to 99, the value from the previous day is returned instead?
NOTE: if the nested ifelse() statement cannot be written as specified due to a chicken/egg paradox, then a separate statement to turn the 99 into 1 will suffice.
You drop the 99 convention and use real NA's. Then you should make the acquaintance of zoo::na.locf, which reads "for NA's , last observation carry forward".
M <- read.table(textConnection(" SPY.Close mavg dn.1 up.1
2010-11-18 119.96 120.713 118.17955 119.99845
2010-11-19 120.29 120.470 118.33112 120.09688
2010-11-22 120.19 120.240 118.47911 120.18489
2010-11-23 118.45 119.924 118.55112 120.20888
2010-11-24 120.20 119.734 118.63565 120.27635
") )
M <- cbind(M, signal = ifelse(M$mavg > M$up.1, 1, ifelse(M$mavg < M$dn.1, -1, NA)) )
M$signal <- na.locf(M$signal)
Which value from the previous day do you want? If you want signal
from the previous day, you can't access yesterday's value before ifelse
finishes producing it. Try this instead:
tick$lagsignal <- c(NA, head(tick$signal, -1))
tick$newsignal <- ifelse(tick$signal == 99, tick$lagsignal, tick$signal)
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