Reputation: 1775
I want to compute the mean, min and max of a series of Managers returns, as follows:
ManagerRet <-data.frame(diff(Managerprices)/lag(Managerprices,k=-1))
I then replace return = 0 with NaN since data are extracted from a database and not all the dates are populated.
ManagerRet = replace(ManagerRet,ManagerRet==0,NaN)
I have the following 3 function
> min(ManagerRet,na.rm = TRUE)
[1] -0.0091716
> max(ManagerRet,na.rm = TRUE)
[1] 0.007565
> mean(ManagerRet,na.rm = TRUE)*252
[1] NaN
Why the mean function returns a NaN value while min and max performe calculation properly?
Below you can find the zoo object MangerRet
> ManagerRet
Manager
2011-10-04 NaN
2011-10-05 NaN
2011-10-06 NaN
2011-10-07 NaN
2011-10-11 NaN
2011-10-12 NaN
2011-10-13 NaN
2011-10-14 NaN
2011-10-17 NaN
2011-10-18 NaN
2011-10-19 NaN
2011-10-20 NaN
2011-10-21 NaN
2011-10-24 NaN
2011-10-25 NaN
2011-10-26 NaN
2011-10-27 NaN
2011-10-28 NaN
2011-10-31 6.3832e-04
2011-11-01 -4.4625e-06
2011-11-02 2.8142e-03
2011-11-03 5.1114e-04
2011-11-04 -1.0105e-03
2011-11-07 7.5650e-03
2011-11-08 2.1002e-03
2011-11-09 -9.1716e-03
2011-11-10 1.1173e-03
2011-11-14 -6.9207e-03
2011-11-15 2.6241e-04
2011-11-16 1.7520e-03
2011-11-17 -2.6443e-05
2011-11-18 -1.4169e-03
2011-11-21 3.7602e-04
2011-11-22 4.3982e-05
2011-11-23 -6.7328e-06
2011-11-25 1.1571e-05
2011-11-28 1.4016e-07
2011-11-29 -2.0426e-07
Additional info as required
> sessionInfo()
R version 2.15.2 (2012-10-26)
Platform: i386-w64-mingw32/i386 (32-bit)
locale:
[1] LC_COLLATE=Italian_Italy.1252 LC_CTYPE=Italian_Italy.1252
[3] LC_MONETARY=Italian_Italy.1252 LC_NUMERIC=C
[5] LC_TIME=Italian_Italy.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] gWidgetsRGtk2_0.0-81 gWidgets_0.0-52
[3] RGtk2_2.20.25 lattice_0.20-15
[5] moments_0.13 data.table_1.8.8
[7] tseries_0.10-30 timeDate_2160.97
[9] PerformanceAnalytics_1.1.0 xts_0.9-3
[11] zoo_1.7-9 RODBC_1.3-6
loaded via a namespace (and not attached):
[1] grid_2.15.2 quadprog_1.5-4
Upvotes: 2
Views: 6547
Reputation: 42639
You should be using colMeans
for this:
colMeans(ManagerRet, na.rm=TRUE)
## Manager
## -6.826297e-05
If this had been a data.frame, you would have received a warning (but correct output).
Here, you have exposed an inconsistency in the way that a data.frame
and a zoo
object are subsetted with [
with a logical matrix index. This appears to be a bug in [.zoo
. I have emailed the maintainer.
The problem occurs at this step within mean.default
:
if (na.rm)
x <- x[!is.na(x)]
Here is where it is going awry:
ManagerRet[!is.na(ManagerRet)]
## 1
## NaN
!is.na(ManagerRet)
looks as expected, but isn't:
class(!is.na(ManagerRet))
[1] "matrix"
This class is unexpected in [.zoo
. These lines are present:
if (all(class(i) == "logical"))
i <- which(rep(i, length.out = n2))
else if (inherits(i, "zoo") && all(class(coredata(i)) ==
"logical")) {
i <- which(coredata(merge(zoo(, time(x)), i)))
}
else if (!((all(class(i) == "numeric") || all(class(i) ==
"integer"))))
i <- which(MATCH(index(x), i, nomatch = 0L) > 0L)
The last line here is actually run in this case, producing incorrect results.
The structure:
> dput(ManagerRet)
structure(c(NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,
NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, 0.00063832, -4.4625e-06,
0.0028142, 0.00051114, -0.0010105, 0.007565, 0.0021002, -0.0091716,
0.0011173, -0.0069207, 0.00026241, 0.001752, -2.6443e-05, -0.0014169,
0.00037602, 4.3982e-05, -6.7328e-06, 1.1571e-05, 1.4016e-07,
-2.0426e-07), .Dim = c(38L, 1L), .Dimnames = list(c("2011-10-04",
"2011-10-05", "2011-10-06", "2011-10-07", "2011-10-11", "2011-10-12",
"2011-10-13", "2011-10-14", "2011-10-17", "2011-10-18", "2011-10-19",
"2011-10-20", "2011-10-21", "2011-10-24", "2011-10-25", "2011-10-26",
"2011-10-27", "2011-10-28", "2011-10-31", "2011-11-01", "2011-11-02",
"2011-11-03", "2011-11-04", "2011-11-07", "2011-11-08", "2011-11-09",
"2011-11-10", "2011-11-14", "2011-11-15", "2011-11-16", "2011-11-17",
"2011-11-18", "2011-11-21", "2011-11-22", "2011-11-23", "2011-11-25",
"2011-11-28", "2011-11-29"), "Manager"), index = 1:38, class = "zoo")
old code - colMeans
is the proper way to do this:
Specifying the "column" with $ gets around this:
mean(ManagerRet, na.rm=TRUE)
## [1] NaN
mean(ManagerRet$Manager, na.rm=TRUE)
## [1] -6.826297e-05
Upvotes: 4