[R] ?summaryRprof running at 100% cpu for one hour ...

Uwe Ligges ligges at statistik.tu-dortmund.de
Sun Nov 21 18:16:49 CET 2010



On 21.11.2010 18:13, Kjetil Halvorsen wrote:
> see below.
>
> On Sat, Nov 20, 2010 at 10:38 PM, Kjetil Halvorsen
> <kjetilbrinchmannhalvorsen at gmail.com>  wrote:
>> OK . I will try to give an reproducible example.
>> the code I give refer to a 72x72 matrix "Wna", which is given at the
>> end of this message.
>> This matrix contains NA's on the diagonal.I try an correspondence
>> analysis on this matrix,
>> with package anacor, which supports correspondence analysis of
>> matrices with NA's.
>>
>>> library(anacor)
>> Loading required package: scatterplot3d
>> Loading required package: fda
>> Loading required package: splines
>> Loading required package: zoo
>> Loading required package: colorspace
>> Loading required package: car
>> Loading required package: MASS
>> Loading required package: nnet
>> Loading required package: survival
>>
>>> Rprof(file="Rprof.out", append=FALSE, memory.profiling=TRUE)
>>> sessionInfo()
>> R version 2.12.0 (2010-10-15)
>> Platform: x86_64-unknown-linux-gnu (64-bit)
>>
>> locale:
>>   [1] LC_CTYPE=en_US.utf8       LC_NUMERIC=C
>>   [3] LC_TIME=en_US.utf8        LC_COLLATE=en_US.utf8
>>   [5] LC_MONETARY=C             LC_MESSAGES=en_US.utf8
>>   [7] LC_PAPER=en_US.utf8       LC_NAME=C
>>   [9] LC_ADDRESS=C              LC_TELEPHONE=C
>> [11] LC_MEASUREMENT=en_US.utf8 LC_IDENTIFICATION=C
>>
>> attached base packages:
>> [1] splines   stats     graphics  grDevices utils     datasets  methods
>> [8] base
>>
>> other attached packages:
>> [1] anacor_1.0-1         car_2.0-6            survival_2.35-8
>> [4] nnet_7.3-1           MASS_7.3-8           colorspace_1.0-1
>> [7] fda_2.2.5            zoo_1.6-4            scatterplot3d_0.3-31
>>
>> loaded via a namespace (and not attached):
>> [1] fortunes_1.4-0  grid_2.12.0     lattice_0.19-13 tools_2.12.0
>>>
>>
>>> green.ana<-anacor(Wna, ndim=3)
>>
>
> And here is the continuation from sunday morning:
>
>> green.ana<-anacor(Wna, ndim=3)
>> summaryRprof(memory="both")
> $by.self
>                    self.time self.pct total.time total.pct mem.total
> "%*%"                425.36    63.33     425.36     63.33    1285.7
> "as.vector"           59.16     8.81      59.20      8.81     607.8
> "array"               56.24     8.37     116.46     17.34    1404.7
> "aperm"               52.24     7.78      52.24      7.78     572.9
> "gsvdDer"             47.58     7.08     662.32     98.61    4135.9
> "*"                   16.56     2.47      16.56      2.47     189.0
> "apply"                2.30     0.34     539.06     80.26    2498.7
> "FUN"                  2.16     0.32     489.90     72.94    2091.5
> "strsplit"             1.58     0.24       1.58      0.24       6.7
> "rbind"                1.26     0.19       1.26      0.19       6.3
> "+"                    0.98     0.15       0.98      0.15      47.1
> "gsvdScal"             0.76     0.11       1.54      0.23      13.1
> "inherits"             0.62     0.09       0.62      0.09      33.7
> "lapply"               0.56     0.08       3.42      0.51     172.3
> "prod"                 0.54     0.08       0.54      0.08       3.9
> "unique.default"       0.40     0.06       1.10      0.16      71.6
> "regexpr"              0.36     0.05       0.36      0.05       0.3
> "readLines"            0.34     0.05       0.34      0.05       2.7
> "list"                 0.32     0.05       0.32      0.05       4.3
> "!="                   0.26     0.04       0.26      0.04       2.7
> "t.default"            0.26     0.04       0.26      0.04       1.0
> "drop"                 0.14     0.02       0.42      0.06       7.4
> "-"                    0.14     0.02       0.14      0.02       2.8
> "!"                    0.14     0.02       0.14      0.02       1.7
> "unlist"               0.12     0.02       0.56      0.08      30.6
> "outer"                0.12     0.02       0.40      0.06       5.5
> "substr"               0.12     0.02       0.20      0.03       2.7
> ".Call"                0.08     0.01       0.08      0.01       2.3
> "is.list"              0.08     0.01       0.08      0.01       0.6
> "nchar"                0.08     0.01       0.08      0.01       1.7
> "is.factor"            0.06     0.01       0.14      0.02      10.4
> "diff.default"         0.06     0.01       0.06      0.01       4.7
> "dim<-"                0.06     0.01       0.06      0.01       1.2
> "lazyLoadDBfetch"      0.06     0.01       0.06      0.01       2.3
> "length"               0.06     0.01       0.06      0.01       2.5
> "reconstitute"         0.04     0.01       0.14      0.02       0.7
> "table"                0.04     0.01       0.12      0.02       1.9
> "as.integer"           0.04     0.01       0.04      0.01       0.1
> "deparse"              0.04     0.01       0.04      0.01       0.4
> "ifelse"               0.04     0.01       0.04      0.01       0.5
> "is.array"             0.04     0.01       0.04      0.01       0.2
> "match"                0.04     0.01       0.04      0.01       0.9
> "acovuv"               0.02     0.00       2.22      0.33      10.9
> "t"                    0.02     0.00       0.28      0.04       1.1
> "rowsum"               0.02     0.00       0.04      0.01       2.7
> "solve.default"        0.02     0.00       0.04      0.01       2.3
> ".C"                   0.02     0.00       0.02      0.00       0.3
> "/"                    0.02     0.00       0.02      0.00       0.1
> "as.list"              0.02     0.00       0.02      0.00       0.0
> "diag"                 0.02     0.00       0.02      0.00       0.1
> "is.na"                0.02     0.00       0.02      0.00       0.0
> "is.null"              0.02     0.00       0.02      0.00       0.0
> "sort.list"            0.02     0.00       0.02      0.00       0.1
>
> $by.total
>                    total.time total.pct mem.total self.time self.pct
> "anacor"              666.32     99.20    4161.3      0.00     0.00
> "gsvdDer"             662.32     98.61    4135.9     47.58     7.08
> "apply"               539.06     80.26    2498.7      2.30     0.34
> "FUN"                 489.90     72.94    2091.5      2.16     0.32
> "%*%"                 425.36     63.33    1285.7    425.36    63.33
> "array"               116.46     17.34    1404.7     56.24     8.37
> "as.vector"            59.20      8.81     607.8     59.16     8.81
> "aperm"                52.24      7.78     572.9     52.24     7.78
> "*"                    16.56      2.47     189.0     16.56     2.47
> "summaryRprof"          5.26      0.78     189.0      0.00     0.00
> "lapply"                3.42      0.51     172.3      0.56     0.08
> "acovuv"                2.22      0.33      10.9      0.02     0.00
> "strsplit"              1.58      0.24       6.7      1.58     0.24
> "sapply"                1.56      0.23      28.3      0.00     0.00
> "gsvdScal"              1.54      0.23      13.1      0.76     0.11
> "rbind"                 1.26      0.19       6.3      1.26     0.19
> "pmax"                  1.26      0.19      19.5      0.00     0.00
> "unique.default"        1.10      0.16      71.6      0.40     0.06
> "+"                     0.98      0.15      47.1      0.98     0.15
> "is.vector"             0.72      0.11       4.7      0.00     0.00
> "inherits"              0.62      0.09      33.7      0.62     0.09
> "unlist"                0.56      0.08      30.6      0.12     0.02
> "prod"                  0.54      0.08       3.9      0.54     0.08
> "drop"                  0.42      0.06       7.4      0.14     0.02
> "outer"                 0.40      0.06       5.5      0.12     0.02
> "regexpr"               0.36      0.05       0.3      0.36     0.05
> "readLines"             0.34      0.05       2.7      0.34     0.05
> "list"                  0.32      0.05       4.3      0.32     0.05
> "t"                     0.28      0.04       1.1      0.02     0.00
> "unique"                0.28      0.04      14.7      0.00     0.00
> "!="                    0.26      0.04       2.7      0.26     0.04
> "t.default"             0.26      0.04       1.0      0.26     0.04
> "substr"                0.20      0.03       2.7      0.12     0.02
> "-"                     0.14      0.02       2.8      0.14     0.02
> "!"                     0.14      0.02       1.7      0.14     0.02
> "is.factor"             0.14      0.02      10.4      0.06     0.01
> "reconstitute"          0.14      0.02       0.7      0.04     0.01
> "table"                 0.12      0.02       1.9      0.04     0.01
> ".Call"                 0.08      0.01       2.3      0.08     0.01
> "is.list"               0.08      0.01       0.6      0.08     0.01
> "nchar"                 0.08      0.01       1.7      0.08     0.01
> "diff.default"          0.06      0.01       4.7      0.06     0.01
> "dim<-"                 0.06      0.01       1.2      0.06     0.01
> "lazyLoadDBfetch"       0.06      0.01       2.3      0.06     0.01
> "length"                0.06      0.01       2.5      0.06     0.01
> "factor"                0.06      0.01       1.0      0.00     0.00
> "gsvd"                  0.06      0.01       1.8      0.00     0.00
> "as.integer"            0.04      0.01       0.1      0.04     0.01
> "deparse"               0.04      0.01       0.4      0.04     0.01
> "ifelse"                0.04      0.01       0.5      0.04     0.01
> "is.array"              0.04      0.01       0.2      0.04     0.01
> "match"                 0.04      0.01       0.9      0.04     0.01
> "rowsum"                0.04      0.01       2.7      0.02     0.00
> "solve.default"         0.04      0.01       2.3      0.02     0.00
> "ginvgsvd"              0.04      0.01       2.3      0.00     0.00
> "La.svd"                0.04      0.01       0.3      0.00     0.00
> "mfunc"                 0.04      0.01       1.7      0.00     0.00
> "sessionInfo"           0.04      0.01       0.0      0.00     0.00
> "solve"                 0.04      0.01       2.3      0.00     0.00
> "svd"                   0.04      0.01       0.3      0.00     0.00
> ".C"                    0.02      0.00       0.3      0.02     0.00
> "/"                     0.02      0.00       0.1      0.02     0.00
> "as.list"               0.02      0.00       0.0      0.02     0.00
> "diag"                  0.02      0.00       0.1      0.02     0.00
> "is.na"                 0.02      0.00       0.0      0.02     0.00
> "is.null"               0.02      0.00       0.0      0.02     0.00
> "sort.list"             0.02      0.00       0.1      0.02     0.00
> "benzdist"              0.02      0.00       0.0      0.00     0.00
> "eigen"                 0.02      0.00       1.5      0.00     0.00
> "rowsum.default"        0.02      0.00       0.2      0.00     0.00
> "rowSums"               0.02      0.00       0.1      0.00     0.00
> "summar                 0.02      0.00       0.0      0.00     0.00
> "tabulate"              0.02      0.00       0.3      0.00     0.00
> "tcrossprod"            0.02      0.00       0.2      0.00     0.00
>
> $sample.interval
> [1] 0.02
>
> $sampling.time
> [1] 671.66
>
> Warning message:
> In readLines(con, n = chunksize) :
>    incomplete final line found on 'Rprof.out'
>> ?save.image
>
> And at this point it has been running with one cpu at 100% for over an hour!


It's OK to take an hour (due to memory <-> disc IO) if it uses swap 
space heavily. Factor of 60 is not much given memory is faster than 
harddiscs by orders of magnitude.

Uwe




> Kjetil
>
> (Trying to learn about running this in GDB, as suggested above. If I
> find out about that, more results on Monday.
>
> Kjetil
>
>> I will start this command in a moment, it runs for over an hour, and
>> memory grows to
>> multiple GB (If there are to many other programs running, the process
>> gets killed!.
>> This laptop has amd64, debian squeeze, 2Gb ram, 4Gb swap. I leave it
>> running tonight.
>>
>> After finnishing this, giving some simple commands , like ls() or
>> ?Rprof, leads to the problem described originally. Will post more info
>> tomorrow.
>>
>> Kjetil
>>
>>
>>
>> On Sat, Nov 20, 2010 at 9:30 PM, Kjetil Halvorsen
>> <kjetilbrinchmannhalvorsen at gmail.com>  wrote:
>>> see below.
>>>
>>> 2010/11/20 Uwe Ligges<ligges at statistik.tu-dortmund.de>:
>>>>
>>>>
>>>> On 19.11.2010 21:43, Kjetil Halvorsen wrote:
>>>>>
>>>>> This is very strange. (Debian squeeze, R 2.12.0 compiled from source)
>>>>>
>>>>> I did some moderately large computation (including svd of a 560x50
>>>>> matrix),
>>>>> running a few minutes, and R memory increasing to about 900MB on this
>>>>> 2 GB ram laptop. I had done Rprof(memory.profiling=TRUE) first.
>>>>> Then doing summaryRprof().
>>>>> Then doing
>>>>> ?summaryRprof
>>>>> and then the computer running with one of two cores at 100% for more
>>>>> than an hour!
>>>>>
>>>>> Whats happening?
>>>>
>>>> We do not know. What about sending a reproducible example?
>>>
>>> I will try. But how do I send this info when I have to kill
>>> the R-process from outside?
>>>
>>
>>> dput(Wna)
>> structure(c(NA, 0, 0, 0, 0.34, 0.114285714, 0.125, 0, 0.138461538,
>> 0, 0, 0, 0.085714286, 0.266666667, 0, 0.35, 0, 0, 0, 0.1, 0,
>> 0, 0, 0, 0, 0, 0, 0, 0.12, 0, 0, 0.090909091, 0, 0, 0.44, 0,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.4, 0.142857143, 0.525,
>> 0.2, 0, 0, 0, 0, 0, 0, 0, 0, 0.225, 0.65, 0, 0, 0, 0, 0, 0, 0,
>> 0, 0, NA, 0, 0, 0, 0.085714286, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0, 0, 0, 0, 0.454545455, 0.08, 0, 0, 0, 0, 0, 0.25, 0,
>> 0, 0, 0.714285714, 0, 0.111111111, 0, 0, 0, 0, 0, 0, 0, 0, 0.18,
>> 0.054545455, 0, 0, 0, 0.1, 0, 0.542857143, 0, 0.114285714, 0,
>> 0, 0.25, 0.16, 0, 0, 0, 0, 0, 0, 0, 0.046153846, 0.2, 0, 0, 0,
>> 0, 0, 0, 0, NA, 0, 0.1, 0, 0.125, 0, 0, 0, 0.085714286, 0, 0,
>> 0.166666667, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.08, 0,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.257142857, 0, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0, 0, 0, 0.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.114285714,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.1, NA, 0, 0.114285714, 0, 0, 0,
>> 0, 0, 0, 0, 0, 0.1, 0, 0, 0, 0, 0.333333333, 0, 0.285714286,
>> 0, 0, 0.145454545, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
>> 0, 0.12, 0.125, 0, 0, 0.1, 0, 0.145454545, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0, 0, 0, 0, 0.075, 0, 0.1, 0.2, 0.7, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0.793333333, 0, 0.325, 0, NA, 0, 0, 0, 0, 0, 0, 0, 0.114285714,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.090909091,
>> 0, 0, 0.14, 0, 0, 0, 0.185714286, 0, 0, 0, 0, 0, 0, 0, 0.054545455,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.625, 0, 0, 0,
>> 0, 0, 0, 0, 0, 0.406666667, 0, 0, 0, 0.533333333, 0.08, NA, 0,
>> 0, 0.123076923, 0.9, 0.085714286, 0, 0.571428571, 0, 0.666666667,
>> 0, 0.533333333, 0.25, 0, 0.133333333, 0, 0.571428571, 0, 0, 0.072727273,
>> 0.5, 0.133333333, 0.24, 0, 0, 0, 0, 0.125, 0, 0.32, 0.311111111,
>> 0, 0, 0.057142857, 0.25, 0, 0, 0.685714286, 0.266666667, 0, 0.272727273,
>> 0, 0, 0.16, 0.233333333, 0.6, 0, 0.1, 0, 0, 0, 0, 0.4, 0.766666667,
>> 0.8, 0, 0.296428571, 0, 0.15, 0.371428571, 0.061538462, 0.2,
>> 0, 0.12, 0.283333333, 1, 0, 0, 0, 0.25, 0, 0.16, 0, NA, 0, 0.153846154,
>> 0, 0.342857143, 0.6, 0, 0.133333333, 0, 0.15, 0, 0, 0.35, 0,
>> 0, 0, 0, 0.06, 0.290909091, 0, 0.233333333, 0, 0, 0.2, 0.45,
>> 0, 0, 0, 0, 0.066666667, 0, 0.56, 0.171428571, 0.075, 0, 0, 0.371428571,
>> 0.133333333, 0.08, 0, 0, 0.36, 0.2, 0.166666667, 0, 0, 0.225,
>> 0, 0.4, 0.433333333, 0.65, 0.28, 0.1, 0.225, 0.25, 0.271428571,
>> 0, 0, 0.342857143, 0.061538462, 0, 0, 0, 0, 0.3, 0.12, 0, 0,
>> 0, 0.088888889, 0, 0, 0, NA, 0, 0, 0.085714286, 0, 0, 0, 0, 0,
>> 0, 0.35, 0, 0.4, 0.64, 0, 0, 0, 0, 0, 0, 0.08, 0, 0, 0, 0, 0,
>> 0, 0, 0, 0, 0, 0.071428571, 0.45, 0, 0.45, 0, 0, 0.18, 0, 0.345454545,
>> 0, 0.16, 0, 0, 0.142857143, 0, 0.171428571, 0, 0, 0.2, 0, 0,
>> 0, 0, 0, 0, 0, 0, 0.123076923, 0.52, 0, 0, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0, 0, 0, NA, 0, 0, 0, 0.114285714, 0, 0, 0, 0, 0.2, 0,
>> 0, 0, 0, 0, 0, 0.054545455, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.054545455, 0, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0.575, 0, 0, 0, 0.046153846, 0, 0, 0,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.107692308, NA, 0, 0, 0, 0,
>> 0.1, 0, 0.088888889, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
>> 0, 0.4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.066666667, 0.054545455,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0.066666667, 0.2, 0, 0.325, 0.8, 0.276923077,
>> 0, NA, 0, 0, 0.466666667, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.4, 0.290909091,
>> 0, 0, 0, 0, 0.15, 0, 0.750909091, 0, 0, 0.06, 0.177777778, 0,
>> 0.44, 0.171428571, 0, 0.133333333, 0, 0, 0.088888889, 0.446666667,
>> 0, 0, 0.4, 0.2, 0.133333333, 0, 0, 0.075, 0, 0.5, 0.333333333,
>> 0, 0.2, 0, 0.075, 0, 0, 0, 0, 0, 0.307692308, 0, 0, 0, 0, 0,
>> 0, 0, 0.2, 0, 0, 0, 0, 0, 0, 0, 0, 0.114285714, NA, 0.085714286,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0, 0.28, 0, 0, 0.133333333, 0, 0, 0, 0, 0, 0, 0.16, 0.16,
>> 0, 0, 0.142857143, 0, 0, 0.3, 0, 0, 0, 0, 0, 0, 0, 0.1, 0, 0,
>> 0.046153846, 0, 0, 0, 0, 0, 0, 0.066666667, 0, 0, 0.111111111,
>> 0.14, 0.114285714, 0.275, 0, 0.153846154, 0, 0.257142857, 0,
>> NA, 0, 0.266666667, 0, 0.2, 0, 0.1, 0, 0, 0, 0.072727273, 0.42,
>> 0.4, 0, 0.3, 0.08, 0, 0.7, 0, 0, 0, 0, 0, 0.066666667, 0, 0,
>> 0, 0.1, 0, 0, 0, 0, 0, 0, 0.254545455, 0, 0.16, 0.166666667,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0.2, 0.075, 0, 0.1, 0.1, 0, 0, 0.215384615,
>> 0, 1, 0, 0, 0.4, 0.326666667, 0.36, 0, 0.3, 0, 0, 0, 0, 0, 0,
>> 0, 0.257142857, 0, 0, NA, 0, 0.35, 0.2, 0.15, 0, 0, 0, 0, 0,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0.132727273, 0, 0, 0, 0.066666667, 0,
>> 0.28, 0.185714286, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
>> 0.142857143, 0, 0, 0.15, 0, 0, 0, 0, 0, 0.075, 0, 0, 0, 0, 0,
>> 0.16, 0, 0, 0, 0, 0, 0, 0.066666667, 0, 0.142857143, 0, 0, 0.061538462,
>> 0.15, 0, 0, 0.257142857, 0, NA, 0, 0, 0, 0, 0.433333333, 0, 0,
>> 0, 0, 0.127272727, 0, 0, 0.08, 0, 0, 0, 0, 0.125, 0, 0, 0, 0,
>> 0, 0, 0, 0, 0, 0, 0.088888889, 0, 0.654545455, 0.236363636, 0,
>> 0, 0.666666667, 0.5, 0, 0, 0, 0, 0.133333333, 0, 0, 0.5, 0.2,
>> 0, 0, 0, 0, 0, 0, 0.16, 0, 0, 0, 0.4, 0, 0, 0, 0, 0.2, 0, 0,
>> 0.1, 0, 0, 0, 0, 0, 0, 0.166666667, 0, NA, 0, 0, 0, 0.366666667,
>> 0, 0, 0.054545455, 0, 0.2, 0, 0, 0, 0.52, 0, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0, 0, 0.733333333, 0, 0.142857143, 0, 0.066666667, 0, 0,
>> 0, 0.2, 0.166666667, 0, 0, 0.175, 0, 0, 0, 0, 0, 0, 0, 0.4, 0,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.111111111, 0, 0.085714286,
>> 0, 0, 0, 0.35, 0.085714286, 0, 0.142857143, 0, 0.2, 0, NA, 0,
>> 0, 0, 0, 0.114285714, 0, 0, 0, 0, 0.166666667, 0, 0, 0, 0, 0.205454545,
>> 0.2, 0, 0.12, 0.333333333, 0, 0, 0.042857143, 0, 0, 0, 0, 0.066666667,
>> 0, 0.872727273, 0, 0, 0, 0.133333333, 0, 0.1, 0, 0, 0, 0, 0,
>> 0.24, 0, 0, 0, 0.1, 0, 0, 0, 0.076923077, 0, 0, 0, 0, 0, 0, 0,
>> 0.16, 0.075, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, NA, 0,
>> 0, 0.4, 0.542857143, 0.327272727, 0, 0, 0, 0, 0.08, 0, 0, 0,
>> 0, 0, 0.257142857, 0, 0.155555556, 0, 0, 0, 0, 0, 0.45, 0, 0,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.4, 0, 0.133333333, 0, 0, 0, 0, 0,
>> 0, 0, 0, 0, 0, 0.36, 0, 0, 0, 0, 0, 0, 0.16, 0.175, 0.088888889,
>> 0.06, 0.171428571, 0.125, 0, 0.107692308, 0, 0, 0, 0, 0.2, 0,
>> 0.7, 0, 0.25, NA, 0, 0.2, 0, 0, 0.36, 0, 0.45, 0, 0.4, 0.166666667,
>> 0, 0, 0.06, 0, 0, 0, 0, 0.9, 0, 0.1, 0.1, 0.166666667, 0.075,
>> 0, 0.311111111, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.2, 0,
>> 0, 0.2, 0, 0, 0, 0, 0.046153846, 0, 0, 0.4, 0, 0, 0, 0, 0.12,
>> 0, 0.133333333, 0, 0, 0, 0.6, 0, 0, 0, 0.1, 0.114285714, 0, 0.266666667,
>> 0, 0.088888889, 0.25, 0.075, NA, 0, 0.085714286, 0.156060606,
>> 0, 0, 0.55, 0, 0, 0.12, 0, 0, 0, 0, 0, 0.1, 0, 0, 0, 0, 0.125,
>> 0.12, 0.125, 0, 0, 0, 0, 0.4, 0, 0, 0.166666667, 0, 0.142857143,
>> 0.225, 0.571428571, 0, 0.166666667, 0.15, 0, 0, 0.125, 0, 0,
>> 0, 0, 0, 0, 0.24, 0, 0.2, 0, 0, 0, 0.28, 0.16, 0.075, 0, 0, 0,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, NA, 0, 0, 0.22, 0,
>> 0, 0, 0.46, 0, 0, 0.25, 0.072727273, 0, 0, 0, 0, 0, 0, 0.085714286,
>> 0, 0, 0.125, 0, 0, 0.226666667, 0, 0, 0.28, 0, 0, 0.4, 0, 0,
>> 0, 0, 0, 0.25, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0.177777778, 0, 0, 0, 1, 0.061538462, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0.35, 0, 0, 0.28, NA, 0, 0, 0, 0, 0.166666667, 0.12, 0,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.057142857, 0.125, 0, 0, 0, 0, 0.146666667,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.2,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0.36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, NA, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.114285714,
>> 0.6, 0, 0, 0, 0, 0, 0, 0, 0, 0.142857143, 0, 0, 0, 0.054545455,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.085714286,
>> 0.046153846, 0, 0, 0, 0, 0, 0, 0, 0.16, 0.1, 0, 0.08, 0, 0.1,
>> 0, 0, 0, 0.114285714, 0, 0, 0, 0, 0, 0, 0, 0.2, 0, 0, 0, 0, NA,
>> 0, 0, 0, 0, 0, 0.25, 0, 0, 0, 0.114285714, 0, 0, 0, 0, 0.042857143,
>> 0.225, 0.166666667, 0.075, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
>> 0, 0.166666667, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.230769231, 0, 0,
>> 0, 0, 0, 0.326666667, 0.066666667, 0, 0, 0, 0.46, 0.285714286,
>> 0.525, 0, 0.507692308, 0, 0.085714286, 0.6, 0.485714286, 0, 0.366666667,
>> 0, 0, 0, 0.275, 0, 0, 0, 0, 0.16, NA, 0, 0.766666667, 0, 0, 0.2,
>> 0, 0.241818182, 0, 0, 0, 0, 0, 0.2, 0.285714286, 0.25, 0, 0,
>> 0, 0.111111111, 0, 0.054545455, 0.072727273, 0.28, 0.12, 0, 0,
>> 0, 0.425, 0, 0, 0, 0.2, 0.16, 0, 0.075, 0.15, 0.375, 0.125, 0,
>> 0.085714286, 0.2, 0, 0.8, 0.2, 0, 0.3, 0.16, 0, 0.2, 0.075, 0.155555556,
>> 0, 0.114285714, 0.075, 0, 0.076923077, 0, 0, 0.133333333, 0,
>> 0.233333333, 0, 0, 0.066666667, 0.2, 0.775, 0.1, 0.24, 0, 0,
>> 0.08, 0, NA, 0, 0.46, 0.12, 0, 0.15, 0, 0.239285714, 0.142857143,
>> 0, 0.2, 0.5, 0.16, 0, 0.15, 0.12, 0.075, 0.257142857, 0.155555556,
>> 0, 0, 0, 0.12, 0, 0, 0, 0.314285714, 0, 0, 0, 0.2, 0, 0, 0, 0,
>> 0, 0, 0.2, 0, 0, 0, 0, 0, 0.4, 0.133333333, 0, 0.12, 0, 0, 0,
>> 0, 0, 0, 0, 0, 0.076923077, 0, 0, 0, 0.142857143, 0, 0, 0, 0,
>> 0, 0, 0, 0, 0, 0, 0.16, 0.181818182, 0, NA, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0.066666667, 0.3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.16, 0,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.2, 0, 0, 0.123076923,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.15, 0, 0, 0, 0,
>> 0, 0, 0, 0, 0, 0, 0.2, 0, 0, 0, 0, 0, 0, NA, 0, 0, 0, 0, 0.421428571,
>> 0.085714286, 0, 0, 0, 0, 0, 0.275, 0, 0.1, 0.142857143, 0, 0.066666667,
>> 0, 0.072727273, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0, 0, 0, 0, 0.16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0, 0.133333333, 0.133333333, 0.2, 0, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0.35, 0, 0.06, NA, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.466666667,
>> 0, 0.228571429, 0, 0, 0, 0, 0, 0, 0.1, 0, 0, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0.55, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.1,
>> 0, 0, NA, 0, 0, 0, 0.114285714, 0, 0, 0, 0, 0, 0.1, 0, 0.125,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.085714286, 0, 0, 0, 0, 0,
>> 0, 0, 0, 0, 0, 0, 0.107692308, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.15, 0, 0, 0, 0, 0.12, 0.085714286,
>> 0.166666667, 0, 0, 0, 0, 0.1, 0, 0, NA, 0, 0, 0, 0.38, 0, 0,
>> 0.36, 0, 0, 0, 0, 0, 0.488888889, 0, 0, 0, 0, 0.12, 0, 0, 0,
>> 0, 0, 0, 0.1, 0, 0.12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0, 0, 0, 0.06, 0.085714286, 0, 0, 0, 0, 0.114285714, 0,
>> 0, 0, 0, 0, 0, 0, 0.2, 0, 0, 0, 0, 0.16, 0.054545455, 0, 0, 0,
>> 0, 0, 0, NA, 0, 0, 0.06, 0, 0, 0, 0.071428571, 0, 0, 0, 0, 0,
>> 0.26, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.075, 0, 0.185714286,
>> 0, 0, 0, 0.076923077, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0.2, 0, 0, 0, 0, 0, 0, 0.066666667, 0, 0, 0, 0, 0, 0, 0,
>> 0, 0.35, 0, 0.1, 0, 0, 0, 0, NA, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.085714286,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0, 0, 0, 0, 0, 0.166666667, 0, 0.12, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.637878788, 0, 0,
>> 0, 0, 0, 0, 0, 0, 0, 0.085714286, NA, 0, 0, 0, 0, 0, 0, 0, 0.1,
>> 0, 0, 0, 0, 0, 0.2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.26, 0, 0, 0.088888889, 0, 0.171428571,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.266666667, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0, 0, 0, 0, 0, 0.4, 0, 0.239285714, 0, NA, 0.066666667,
>> 0, 0, 0, 0, 0, 0, 0, 0.177777778, 0, 0, 0, 0, 0, 0.1, 0, 0, 0,
>> 0, 0, 0, 0, 0, 0.266666667, 0, 0, 0, 0.1, 0, 0, 0, 0, 0, 0, 0.466666667,
>> 0, 0, 0.393333333, 0.44, 0.6, 0.111111111, 0.36, 0, 0.225, 0,
>> 0, 0.45, 0.142857143, 0.133333333, 0, 0.4, 0, 0, 0.4, 0.25, 0.125,
>> 0, 0.16, 0.4, 0.221212121, 0.06, 0.090909091, 0, 0.2, 0, 0.133333333,
>> 0.15, 0.45, 0.210909091, 0, 0.142857143, 0.24, NA, 0, 0, 0.342857143,
>> 0, 0.12, 0.225, 0.228571429, 0.377777778, 0.08, 0, 0, 0.12, 0.56,
>> 0, 0, 0.114285714, 0, 0.114285714, 0.9, 0.133333333, 0, 0, 0,
>> 0.125, 0, 0, 0.275, 0, 0, 0.138461538, 0.48, 0, 0, 0, 0, 0.333333333,
>> 0, 0.32, 0, 0, 0.06, 0.257142857, 0.075, 0, 0, 0.2, 0, 0.166666667,
>> 0, 0, 0, 0, 0, 0, 0, 0.1, 0.16, 0.085714286, 0, 0, 0.181818182,
>> 0.2, 0, 0, 0, 0, 0, 0, 0, 0.142857143, 0, 0.088888889, NA, 0.12,
>> 0.114285714, 0.1, 0.12, 0, 0, 0, 0.333333333, 0, 0.236363636,
>> 0.12, 0.12, 0, 0, 0, 0.1, 0.142857143, 0, 0, 0, 0, 0, 0.1, 0.15,
>> 0, 0, 0, 0, 0.046153846, 0, 0, 0.2, 0.45, 0, 0, 0.08, 0, 0, 0,
>> 0, 0, 0.175, 0, 0, 0, 0.142857143, 0.433333333, 0, 0.133333333,
>> 0, 0, 0, 0, 0, 0, 0, 0.114285714, 0, 0, 0.054545455, 0, 0, 0,
>> 0, 0, 0.7, 0, 0, 0, 0, 0, 0, NA, 0, 0, 0, 0, 0, 0, 0, 0, 0.054545455,
>> 0, 0, 0, 0, 0, 0.075, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.046153846,
>> 0, 0, 0, 0, 0, 0.12, 0.1, 0, 0.175, 0, 0.22, 0, 0, 0, 0.323076923,
>> 0, 0.085714286, 0.1, 0, 0, 0, 0, 0, 0, 0.1, 0, 0, 0, 0, 0, 0.163636364,
>> 0, 0.1, 0, 0, 0.35, 0, 0.072727273, 0, 0, 0, 0, 0, 0, NA, 0,
>> 0, 0, 0, 0.066666667, 0, 0, 0, 0, 0, 0, 0, 0.114285714, 0.2,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0.1, 0, 0, 0, 0, 0, 0, 0.12, 0, 0, 0.16,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0, 0, 0, 0, 0, 0.12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, NA,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.114285714,
>> 0, 0, 0, 0, 0, 0, 0, 0.1, 0, 0.5, 0, 0, 0, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0, 0.833333333, 0, 0, 0, 0, 0, 0, 0, 0.3, 0, 0, 0, NA,
>> 0, 0.114285714, 0, 0, 0, 0, 0, 0.12, 0, 0, 0, 0, 0, 0, 0, 0.25,
>> 0, 0, 0.075, 0.7, 0, 0, 0.75, 0, 0, 0, 0, 0.44, 0.166666667,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.15,
>> 0, 0, 0, 0, 0.109090909, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.085714286,
>> 0, 0, 0, 0, 0, 0, 0, NA, 0, 0, 0, 0.054545455, 0.472727273, 0,
>> 0, 0, 0, 0, 0, 0, 0, 0.166666667, 0, 0, 0, 0.075, 0, 0, 0, 0.15,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.15, 0, 0, 0, 0, 0.133333333,
>> 0, 0, 0.166666667, 0, 0.222222222, 0, 0.125, 0, 0, 0, 0.2, 0.06,
>> 0, 0, 0.233333333, 0, 0.133333333, 0, 0, 0, 0.325, 0, 0, 0.177777778,
>> 0.4, 0, 0, 0, 0, 0, NA, 0, 0.066666667, 0.109090909, 0, 0, 0.12,
>> 0.166666667, 0, 0.114285714, 0, 0, 0.3, 0, 0, 0.52, 0, 0.3, 0,
>> 0.125, 0, 0, 0.885714286, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.222222222,
>> 0, 0, 0, 0, 0.184615385, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.075, 0.166666667,
>> 0, 0.114285714, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.265454545, 0, 0,
>> 0.18, 0.088888889, 0, 0, 0, 0, 0, 0, 0, NA, 0, 0.072727273, 0,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.566666667, 0, 0, 0.085714286,
>> 0.075, 0, 0.314285714, 0, 0, 0, 0, 0.9, 0, 0, 0, 0, 0.15, 0,
>> 0, 0, 0, 0, 0.046153846, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0.1, 0.090909091, 0, 0, 0.06, 0, 0.15, 0, 0.06, 0.125,
>> 0, 0, 0.066666667, 0, 0, 0.157142857, 0, 0, 0, 0, 0, NA, 0, 0,
>> 0, 0, 0, 0, 0.114285714, 0.275, 0, 0, 0, 0.15, 0, 0, 0, 0, 0.085714286,
>> 0, 0, 0, 0.138461538, 0, 0.6, 0, 0, 0, 0, 0, 0, 0, 0.155555556,
>> 0, 0.4, 0, 0, 0, 0, 0, 0, 0.2, 0, 0.133333333, 0, 0.2, 0, 0,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0, 0.066666667, 0, NA, 0, 0, 0, 0.1, 0, 0.114285714, 0,
>> 0, 0, 0.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.24, 0, 0, 0, 0, 0,
>> 0, 0, 0, 0.088888889, 0, 0, 0, 0, 0, 0, 0, 0, 0.085714286, 0,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0, 0, 0.075, 0, 0.35, 0, 0, 0, 0, NA, 0, 0, 0, 0, 0, 0,
>> 0.457142857, 0, 0, 0.15, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0, 0, 0, 0, 0, 0.08, 0, 0, 0, 0, 0, 0.257142857, 0, 0,
>> 0, 0, 0, 0.066666667, 0, 0, 0, 0, 0, 0, 0.08, 0, 0, 0, 0, 0,
>> 0, 0, 0.145454545, 0, 0, 0.36, 0.355555556, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0, 0.054545455, 0, NA, 0, 0, 0.5, 0.2, 0, 0, 0, 0.333333333,
>> 0, 0.12, 0, 0, 0, 0, 0.1, 0, 0, 0.215384615, 0, 0, 0, 0, 0, 0.16,
>> 0.133333333, 0.8, 0.666666667, 0.3875, 0, 0.135714286, 0.0375,
>> 0, 0.366666667, 0.475, 0.657142857, 0.05, 0.135714286, 0.05,
>> 0, 0, 0.963888889, 0.9, 0.228571429, 0.06, 0.72, 0.585714286,
>> 0.6, 0.444444444, 0.109090909, 0, 0.333333333, 0.242857143, 0,
>> 0.866666667, 0.65, 0.636363636, 0.05, 0.757142857, 0.793333333,
>> 0.875, 0, 0.15, 0.563736264, 0, 0, 0.210714286, 0.128571429,
>> 0.128571429, 0.4, 0.336363636, 0, 0.25, NA, 0.315, 0.3, 0.266666667,
>> 0, 0, 0, 0.2, 0, 0, 0, 0, 0, 0.085714286, 0.9, 0, 0, 0.169230769,
>> 0.8, 0, 0, 0.408333333, 0, 0.46, 0.753333333, 0.3, 0, 0.6125,
>> 0.42, 0.942857143, 0.575, 0, 0.675, 0.225, 0.271428571, 0.933333333,
>> 0.364285714, 0.383333333, 0.6, 0.1, 0.186111111, 0.35, 0.171428571,
>> 0.933333333, 0.24, 0.042857143, 0.560606061, 0.566666667, 0.390909091,
>> 1, 0.526666667, 0.242857143, 0.62, 0.2, 0.075, 0.345454545, 0.433333333,
>> 0.085714286, 0.326666667, 0.1875, 0.65, 0.15, 0.046153846, 0.6,
>> 0.6, 0, 0.942857143, 0.657142857, 0.422222222, 0.563636364, 0.211111111,
>> 0.4, 0.72, NA, 0.5, 0.433333333, 0.95, 0.728571429, 0.45, 0.516666667,
>> 0.65, 1, 0.833333333, 0.66, 0.3, 0.960714286, 0.7, 0.666666667,
>> 0.914285714, 0.492307692, 0.5, 1, 0.7, 0.275, 0.3, 0.18, 0.326666667,
>> 0.12, 0.383333333, 0.125, 0.22, 0.1, 0.35, 0.3, 0.025, 0, 0.042857143,
>> 0.15, 0.185714286, 0.633333333, 0.1, 0.95, 0, 0.15, 0.542857143,
>> 0.26, 0, 0.185714286, 0.186363636, 0.033333333, 0.172727273,
>> 0.075, 0.18, 0.478571429, 0.38, 0.533333333, 0.725, 0.172727273,
>> 0.252380952, 0.3, 0.06, 0.075, 0.45, 0.65, 0.128571429, 0.357142857,
>> 0.416666667, 0.425, 0.128571429, 0.085714286, 0.1, 0, 0.133333333,
>> 0.15, 0.06, 0.12, NA, 0.06, 0, 0, 0.3, 0.2, 0.3, 0.18, 0.15,
>> 0.366666667, 0.475, 0.210714286, 0.0375, 0.433333333, 0.342857143,
>> 0.169230769, 0.12, 0.3, 0.24, 0.375, 1, 0.64, 0.1, 0.06, 0.1,
>> 0.1625, 0.4, 0.342857143, 0.275, 0, 0.366666667, 0, 0.085714286,
>> 0.266666667, 0.142857143, 0.15, 0.1, 0, 0.45, 0, 0, 0.1, 0, 0.142857143,
>> 0.127272727, 0.166666667, 0.336363636, 0.525, 0.346666667, 0,
>> 0, 0, 0, 0.190909091, 0.085714286, 0, 0.253333333, 0.15, 0, 0.25,
>> 0.151648352, 0.3, 0.1, 0.085714286, 0.171428571, 0.585714286,
>> 0.1, 0.654545455, 0.266666667, 0.15, 0.42, 0.406666667, 0, NA,
>> 0.1125, 0, 0.15, 0, 0.4, 0.06, 0.566666667, 0.22, 0.075, 0.3,
>> 0.15, 0, 0.242857143, 0.369230769, 0.18, 0, 0.06, 0.075, 0, 0.18,
>> 0.16, 0, 0.1, 0, 0, 0.085714286, 0, 0, 0.025, 0.075, 0, 0, 0,
>> 0, 0.15, 0.2, 0, 0, 0.142857143, 0, 0, 0, 0, 0, 0.054545455,
>> 0, 0, 0.05, 0.06, 0, 0, 0, 0.216666667, 0, 0, 0, 0, 0, 0, 0,
>> 0.05, 0, 0, 0, 0.066666667, 0, 0, 0, 0, 0.166666667, 0, 0, NA,
>> 0.257142857, 0, 0, 0, 0.24, 0.1, 0, 0, 0, 0, 0.2, 0, 0.076923077,
>> 0, 0, 0.06, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.05, 0, 0, 0, 0.135714286,
>> 0.166666667, 0, 0, 0, 0, 0, 0, 0, 0, 0.027272727, 0, 0.090909091,
>> 0, 0, 0, 0, 0, 0, 0, 0.085714286, 0, 0, 0, 0, 0, 0, 0, 0, 0,
>> 0, 0, 0, 0, 0.5, 0.075, 0, 0.075, 0, 0, 0.3, NA, 0, 0, 0, 0,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.12, 0.5, 0.2, 0.3125,
>> 0.36, 0.05, 0.15, 0, 0.075, 0.55, 0.371428571, 0.1, 0.171428571,
>> 0.05, 0.1, 0, 0.0375, 0, 0.128571429, 0.06, 0.12, 0.214285714,
>> 0.160606061, 0.1, 0.054545455, 0, 0.06, 0.15, 0, 0.1, 0, 0.054545455,
>> 0.383333333, 0.671428571, 0.066666667, 0.225, 0.3, 0, 0.483516484,
>> 0, 0.15, 0.085714286, 0.314285714, 0.185714286, 0.144444444,
>> 0, 0, 0.075, 0.06, 0, 0, 0.266666667, 0, 0, NA, 0, 0.225, 0,
>> 0.15, 0.1, 0.25, 0.085714286, 0, 0.2, 0.1, 0.046153846, 0.24,
>> 0, 0, 0.1, 0.3, 0, 0.06, 0, 0.1, 0.15, 0.22, 0, 0.2, 1, 0, 0,
>> 0.342857143, 0, 0, 0, 0.55, 0, 0.0375, 0.5, 0.142857143, 0.386666667,
>> 0.38, 0.085714286, 0, 0.211111111, 0, 0.15, 0, 0.335714286, 0,
>> 0, 0.15, 0.181818182, 0, 0, 0.18, 0.2, 0, 0.15, 0.185714286,
>> 0.085714286, 0.05, 0.75, 0, 0, 0.366666667, 0.345454545, 0.655555556,
>> 0.5, 0.4, 0, 0.65, 0, 0, 0.042857143, 0, NA, 0.075, 0, 0, 0.06,
>> 0, 0, 0.0375, 0, 0.05, 0.261538462, 0, 0, 0.06, 0, 0, 0, 0.246666667,
>> 0.06, 0.15, 0.075, 0.22, 0.192857143, 0.275, 0.6, 0.266666667,
>> 0.25, 0.085714286, 0.35, 0.764285714, 0.416666667, 0.3, 0.65,
>> 0, 0, 0.414285714, 0.1, 0.2, 0, 0.137878788, 0.377777778, 0.690909091,
>> 0.075, 0.286666667, 0.4, 0.84, 0.2, 0.3, 0.027272727, 0.085714286,
>> 0, 0.033333333, 0.0375, 0.5, 0.475, 0.208791209, 0.557142857,
>> 0.533333333, 0.128571429, 0.128571429, 0.128571429, 0.266666667,
>> 0, 0.033333333, 0.15, 0.12, 0.316666667, 0.3, 0.366666667, 0.3125,
>> 0.542857143, 1, 0.5, NA, 0.42, 0.1, 0.393333333, 0.55, 0.128571429,
>> 0.0375, 0.2, 0.15, 0.292307692, 0, 0.6, 0.72, 0.5, 0, 0.32, 0,
>> 0.06, 0.2, 0.075, 0.06, 0.05, 0.0375, 0, 0.05, 0.325, 0.042857143,
>> 0.05, 0, 0.05, 0, 0, 0.225, 0, 0.128571429, 0, 0.24, 0.642857143,
>> 0.1, 0, 0, 0.075, 0.166666667, 0, 0, 0, 0, 0.290909091, 0.307142857,
>> 0.085714286, 0.186666667, 0.15, 0, 0.075, 0.131868132, 0, 0,
>> 0.214285714, 0.085714286, 0.128571429, 0.033333333, 0, 0.1, 0.15,
>> 0.12, 0.166666667, 0.15, 0.18, 0.225, 0.042857143, 0, 0.316666667,
>> 0, NA, 0, 0.1, 0.25, 0.128571429, 0.0375, 0.2, 0.1, 0.023076923,
>> 0.06, 0, 0.06, 0.166666667, 0.3, 0.12, 0, 0, 0, 0, 0, 0.185714286,
>> 0, 0, 0.266666667, 0, 0, 0, 0.1, 0, 0.633333333, 0, 0, 0, 0.125,
>> 0, 0, 0, 0, 0, 0.03, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.023076923,
>> 0, 0, 0, 0.228571429, 0, 0, 0, 0, 0, 0, 0, 0, 0.166666667, 0.4375,
>> 0, 0, 0, 0, 0, NA, 0.135, 0, 0, 0, 0, 0.3, 0.054545455, 0.2,
>> 0, 0, 0, 0.5, 0, 0, 0.1, 0, 0.15, 0, 0.471428571, 0.1125, 0,
>> 0.025, 0.4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.196666667,
>> 0, 0.090909091, 0, 0, 0.1, 0, 0, 0.25, 0, 0.16, 0.285714286,
>> 0, 0, 0, 0.333333333, 0, 0.375, 0, 0.621428571, 0.171428571,
>> 0, 0.066666667, 0, 0.05, 0.25, 0.12, 0, 0, 0, 0, 0.042857143,
>> 0, 0.15, 0, 0.12, 0.15, NA, 0, 0, 0.15, 0, 0.242857143, 0.076923077,
>> 0, 0, 0, 0, 0, 0, 0.06, 0.12, 0.06, 0.376190476, 0.033333333,
>> 0.214285714, 0.225, 0.3, 0.05, 0.15, 0, 0.383333333, 0, 0.466666667,
>> 0, 0.95, 0.1875, 0.1, 0, 0.68, 0, 0, 0.499393939, 0.075, 0.527272727,
>> 0.325, 0, 0.6, 1, 0.3, 0.55, 0.06, 0, 0.717142857, 0.1125, 0.7,
>> 0.45, 0.2, 0.415384615, 0.125, 1, 0.4, 0.357142857, 0.15, 0.548611111,
>> 0.12, 0.1, 0.3, 0.4, 0.86, 0.3, 0.266666667, 0.15, 0.271428571,
>> 0, 0.383333333, 0.9, 0.72, 0.15, 0.135, NA, 0.05, 0, 0.5, 0,
>> 0.09, 0.2, 1, 0.78, 0.866666667, 0.5, 0.26, 0.262857143, 0, 0.457142857,
>> 0, 0.5, 0, 0, 0, 0.458333333, 0.575, 0.292857143, 0.483333333,
>> 0.192857143, 0.166666667, 0, 0, 0.575, 0, 0, 0, 0.25, 0, 0.305757576,
>> 0.1125, 0.150909091, 0, 0.226666667, 0.1, 0, 0.45, 0.25, 0.226666667,
>> 0.2, 0, 0.175, 0.075, 0, 0.1, 0.192307692, 0, 0, 0.05, 0.128571429,
>> 0.042857143, 0.170833333, 0.5, 0, 0.15, 0, 0, 0.15, 0.1, 0.125,
>> 0.142857143, 0, 0.05, 0, 0.32, 0.433333333, 0.625, 0.25, NA,
>> 0.25, 0.1, 0.628571429, 0.478951049, 0.075, 0, 0, 0, 0, 0.38,
>> 0.862857143, 0, 0.602857143, 0.117857143, 0.493333333, 0.042857143,
>> 0.25, 0.6, 0.383333333, 0, 0.528571429, 0.466666667, 0.442857143,
>> 0.26, 0, 0.45, 0.25, 0.4, 0.357142857, 0.12, 0.4, 0.342857143,
>> 0.06, 0, 0.254545455, 0.075, 0.5, 0.216666667, 0, 0, 0.55, 0.466666667,
>> 0.06, 0, 0.975, 0.1125, 0, 0.4, 0.330769231, 0, 0, 0.285714286,
>> 0.042857143, 0.2, 0.311111111, 0.31, 0.25, 0.4, 0.2, 0, 0.15,
>> 0.216666667, 0.2875, 0.042857143, 0, 0.05, 0.075, 0.06, 0.1,
>> 0.06, 0, 0.210714286, NA, 0.45, 0, 0.169090909, 0, 0, 0, 0.1,
>> 0, 0.58, 0.271428571, 0, 0.06, 0.222222222, 0.186666667, 0.085714286,
>> 0, 0, 0, 0, 0.05, 0, 0, 0, 0, 0.1, 0.0375, 0.25, 0, 0, 0, 0.317857143,
>> 0.054545455, 0, 0.054545455, 0, 0, 0, 0.12, 0, 0, 0.033333333,
>> 0.1, 0, 0.075, 0.075, 0, 0.1, 0, 0.225, 0.42, 0, 0, 0, 0, 0,
>> 0.15, 0, 0.12, 0.12, 0, 0.2, 0.075, 0, 0, 0, 0.15, 0, 0.166666667,
>> 0, 0.75, 0, 0.05, NA, 0.1, 0, 0, 0.6, 0.44, 0, 0, 0, 0.042857143,
>> 0.34, 0, 0.415079365, 0, 0, 0.4, 0, 0.025, 0.15, 0, 0, 0.1, 0.226666667,
>> 0.075, 0, 0.35, 0, 0, 0.286666667, 0.15, 0.728571429, 0.531212121,
>> 0.0375, 0.03, 0, 0.286666667, 0, 0, 0, 0, 0.033333333, 0.488571429,
>> 0, 0, 0.0375, 0.15, 0.1, 0.115384615, 0, 0, 0.05, 0.614285714,
>> 0, 0, 0, 0.4, 0, 0, 0.06, 0.5, 0.05, 0.0375, 0.042857143, 0.5,
>> 0.15, 0, 0.18, 0.166666667, 0.26, 0, 0.546428571, 0.385714286,
>> 0, NA, 0.054545455, 0.3, 0, 0, 0, 0, 0, 0.22, 0, 0.488571429,
>> 0.117857143, 0.473333333, 0.042857143, 0.1625, 0, 0.15, 0, 0.392857143,
>> 0.1, 0.1, 0, 0, 0, 0, 0, 0.510714286, 0.06, 0.35, 0.075, 0.114545455,
>> 0.966666667, 0.266363636, 0.325, 0.466666667, 0.05, 0, 0.15,
>> 0, 0.48, 0.285714286, 0.145714286, 0.075, 0, 0, 0.333333333,
>> 0.2, 0.35, 0.1, 0.292857143, 0.085714286, 0.125, 0.297222222,
>> 0.1, 0.3, 0.5, 0.2, 0, 0, 0.15, 0.0375, 0.342857143, 0, 0.5,
>> 0, 0, 0, 0.135, 0, 0.560714286, 0.435714286, 0, 0, NA, 0.075,
>> 0, 0, 0, 0, 0.5, 0, 0.8, 0, 0.042857143, 0, 0.085714286, 0.0375,
>> 0, 0, 0.075, 0, 0.1, 0, 0, 0.25, 0, 0, 0.7, 0, 0.06, 0.15, 0,
>> 0.083333333, 0, 0.054545455, 0, 0, 0.266666667, 0, 0, 0, 0, 0.242857143,
>> 0.288571429, 0, 0.275, 0, 0, 0, 0.05, 0, 0.1, 0.228571429, 0,
>> 0.186111111, 0.25, 0.2, 0, 0.18, 0.2, 0, 0, 0, 0.085714286, 0.5,
>> 0.166666667, 0, 0, 0, 0, 0, 0.05, 0, 0, 0, 0, NA, 0, 0, 0, 0,
>> 0, 0, 0.12, 0, 0, 0, 0.142857143, 0.075, 0, 0.025, 0, 0, 0, 0,
>> 0, 0, 0, 0.075, 0, 0, 0.166666667, 0, 0, 0, 0.066666667, 0.03,
>> 0, 0.06, 0.05, 0.39, 0, 0, 0, 0, 0.085714286, 0, 0.075, 0.3,
>> 0, 0.115384615, 0, 0, 0, 0, 0, 0, 0.06, 0, 0, 0.06, 0.06, 0,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.3, 0.085714286, 0, 0.1, 0, 0.084545455,
>> 0.2, NA, 0.56, 0.3, 0, 0, 0, 0.32, 0, 0.222222222, 0.06, 0.085714286,
>> 0, 0, 0.025, 0, 0.1, 0.05, 0.05, 0.56, 0.075, 0.3, 0.2, 0.1,
>> 0.335714286, 0.24, 0.25, 0.285714286, 0.054545455, 0.0375, 0.120909091,
>> 0.65, 0.06, 0.316666667, 0.24, 0, 0.3, 0.12, 0.06, 0.085714286,
>> 0.075, 0.2375, 1, 0.333333333, 0.361538462, 0.05, 0.16, 0.1,
>> 0, 0.485714286, 0.104166667, 0.09, 0.25, 0, 0.18, 0, 0, 0.5,
>> 0.0375, 0.085714286, 0.15, 0.25, 0.075, 0.06, 0, 0.125, 0.6,
>> 0, 0.142857143, 0.4, 0.1, 0.084545455, 0.625, 0, NA, 0.533333333,
>> 0.6, 0.06, 0.06, 0, 0, 0.042857143, 0, 0, 0, 0, 0.133333333,
>> 0.075, 0, 0, 0, 0.06, 0, 0.1, 0, 0, 0, 0, 0, 0.075, 0, 0, 0,
>> 0, 0, 0, 0, 0, 0, 0, 0, 0.145714286, 0.0375, 0, 0, 0, 0, 0, 0.22,
>> 0, 0, 0.617857143, 0, 0, 0, 0.075, 0.12, 0.18, 0, 0, 0, 0.228571429,
>> 0, 0.1, 0.075, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, NA, 0.3, 0,
>> 0, 0, 0.231428571, 0.15, 0, 0.542857143, 0.4875, 1, 0.358333333,
>> 0.475, 0.1, 0, 0.864285714, 0.16, 0.866666667, 0, 0.1875, 0.35,
>> 0.210714286, 0.226666667, 0.1, 0, 0, 0, 0.23, 0.45, 0.12, 0.2,
>> 0.15, 0, 0, 0.166666667, 0.302857143, 0, 0.3, 0.275, 0, 0, 0.146153846,
>> 0.075, 0, 0, 0.042857143, 0.235714286, 0.215277778, 0.47, 0.2,
>> 0.15, 0.06, 0.42, 0.8, 0.15, 0.5625, 0.614285714, 0.6, 0.1, 0.375,
>> 0.24, 0.583333333, 0.425, 0, 0.221428571, 0, 0, 0.528571429,
>> 0.06, 0.225, 0.3, 0, 0.1, NA, 0.12, 0.12, 0.1, 0, 0.042857143,
>> 0.153333333, 0, 0.15, 0, 0, 0, 0.435714286, 0.316666667, 0.05,
>> 0, 0, 0, 0.0375, 0, 0.360714286, 0.06, 0.25, 0.075, 0, 0.604166667,
>> 0.06, 0.075, 0.18, 0, 0, 1, 0, 0.313333333, 0, 0.145714286, 0.075,
>> 0.0375, 0, 0, 0, 0.65, 0, 0, 0, 0.042857143, 0, 0, 0, 0.075,
>> 0.26, 0, 0, 0.1, 0.15, 0, 0.15, 0, 0.25, 0.2, 0.15, 0, 0, 0.05,
>> 0.342857143, 0.1, 0, 0.66993007, 0, 0, 0, 0, 0, NA), .Dim = c(72L,
>> 72L), .Dimnames = list(c("Ageing", "Anti-Corruption", "Benchmarking Progress",
>> "Catastrophic Risks", "Chronic Diseases&  Well-being", "Climate Change",
>> "Competitiveness", "Conflict Prevention", "Design", "Ecosystems&
>> Biodiversity",
>> "Education", "Emerging Multinationals", "Emerging Technologies",
>> "Employment&  Social Protection", "Energy Security", "Fiscal Crises",
>> "Food Security", "Fragile States", "Future of Government", "Geopolitical Risk",
>> "Human Rights", "Humanitarian Assistance", "Illicit Trade", "Informed
>> Societies",
>> "Innovation", "Institutional Governance Systems", "Intellectual
>> Property System",
>> "International Legal System", "International Monetary System",
>> "Internet Security", "Migration", "Next Generation", "Ocean Governance",
>> "Organized Crime", "Population Growth", "Poverty&  Economic Development",
>> "Role of Business", "Skills&  Talent Mobility", "Social Innovation",
>> "Space Security", "Systemic Financial Risk", "Terrorism", "Trade",
>> "Urbanization", "Values", "Water Security", "Weapons of Mass Destruction",
>> "Women’s Empowerment", "Africa", "China", "Europe&  Central Asia",
>> "India", "Japan", "Korea", "Latin America", "Middle East&  North Africa",
>> "North America", "South-East Asia", "Automotive", "Aviation, Travel&  Tourism",
>> "Banking&  Capital Markets", "Consumer", "Health", "Insurance&  Asset
>> Management",
>> "Logistics&  Supply Chain", "Media, Entertainment&  Information",
>> "Mining&  Metals", "Private Fund Managers", "Public&  Institutional Investors",
>> "Real Estate", "Renewable Energy", "Telecom"), c("Ageing", "Anti-Corruption",
>> "Benchmarking Progress", "Catastrophic Risks", "Chronic Diseases&  Well-being",
>> "Climate Change", "Competitiveness", "Conflict Prevention", "Design",
>> "Ecosystems&  Biodiversity", "Education", "Emerging Multinationals",
>> "Emerging Technologies", "Employment&  Social Protection", "Energy Security",
>> "Fiscal Crises", "Food Security", "Fragile States", "Future of Government",
>> "Geopolitical Risk", "Human Rights", "Humanitarian Assistance",
>> "Illicit Trade", "Informed Societies", "Innovation", "Institutional
>> Governance Systems",
>> "Intellectual Property System", "International Legal System",
>> "International Monetary System", "Internet Security", "Migration",
>> "Next Generation", "Ocean Governance", "Organized Crime", "Population Growth",
>> "Poverty&  Economic Development", "Role of Business", "Skills&  Talent
>> Mobility",
>> "Social Innovation", "Space Security", "Systemic Financial Risk",
>> "Terrorism", "Trade", "Urbanization", "Values", "Water Security",
>> "Weapons of Mass Destruction", "Women’s Empowerment", "Africa",
>> "China", "Europe&  Central Asia", "India", "Japan", "Korea",
>> "Latin America", "Middle East&  North Africa", "North America",
>> "South-East Asia", "Automotive", "Aviation, Travel&  Tourism",
>> "Banking&  Capital Markets", "Consumer", "Health", "Insurance&  Asset
>> Management",
>> "Logistics&  Supply Chain", "Media, Entertainment&  Information",
>> "Mining&  Metals", "Private Fund Managers", "Public&  Institutional Investors",
>> "Real Estate", "Renewable Energy", "Telecom")))
>>>
>>
>>
>>
>>
>>
>>
>>
>>
>>> kjetil
>>>
>>>>
>>>> Best,
>>>> Uwe
>>>>
>>>>
>>>>> (running R from within emacs-ess)
>>>>> Kjetil
>>>>>
>>>>> ______________________________________________
>>>>> R-help at r-project.org mailing list
>>>>> https://stat.ethz.ch/mailman/listinfo/r-help
>>>>> PLEASE do read the posting guide
>>>>> http://www.R-project.org/posting-guide.html
>>>>> and provide commented, minimal, self-contained, reproducible code.
>>>>
>>>
>>



More information about the R-help mailing list