Another one: check if
all(x == cummax(x))
or
all(x == cummin(x))
for monotonously increasing or decreasing respectively. It seems that cummax
is a lot faster than diff
and also uses less memory:
> x <- seq_len(1e7)
> system.time(all(x == cummax(x)))
user system elapsed
0.11 0.00 0.11
> system.time(all(diff(x) >= 0))
user system elapsed
0.47 0.13 0.59
> x <- seq_len(1e8)
> system.time(all(x == cummax(x)))
user system elapsed
1.06 0.09 1.16
> system.time(all(diff(x) >= 0))
Error: cannot allocate vector of size 381.5 Mb
In addition: Warning messages:
1: Reached total allocation of 1535Mb: see help(memory.size)
2: Reached total allocation of 1535Mb: see help(memory.size)
3: Reached total allocation of 1535Mb: see help(memory.size)
4: Reached total allocation of 1535Mb: see help(memory.size)
Timing stopped at: 1.96 0.38 2.33
My bet as to why cummax
is faster than diff
is because it only has to compare numbers which is faster than having to compute differences.
Edit: at your (Ali's) request, additional tests including your answer (Note that I am now running from a different machine so the following results should not be compared with the ones above)
> x <- seq_len(1e7)
> system.time(x == cummax(x))
user system elapsed
0.316 0.096 0.416
> system.time(all(diff(x) >= 0))
user system elapsed
4.364 0.240 4.632
> system.time(x[-1] - x[-length(x)] >= 0)
user system elapsed
3.828 0.380 4.227
> system.time(all(x[-1] >= x[-length(x)]))
user system elapsed
2.572 0.288 2.865
与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…