I'm trying to pass a data.frame with dates in the rownames into a PerformanceAnalytics (package) function.
My data is below, I get the following error message when trying to run the code
> charts.PerformanceSummary(x$Return)
Error in checkData(R) :
The data cannot be converted into a time series. If you are trying to pass in names from a data object with one column, you should use the form 'data[rows, columns, drop = FALSE]'. Rownames should have standard date formats, such as '1985-03-15'.
How can this be solved? I thought that PerformanceAnalytics would recognize my rows as dates automatically.
My data
> str(x)
'data.frame': 201 obs. of 7 variables:
$ Open : num 69 67.8 64 67.2 68 ...
$ High : num 70 69 67.8 68.8 70.8 ...
$ Low : num 67 66 63.2 64.5 67.5 ...
$ Close : num 68.5 66 67.2 68 68.5 ...
$ Volume : num 2163200 2456100 2783000 2200300 2418000 ...
$ Adj.Close: num 55 53 54 54.6 55 ...
$ Return : num 0 0 0 0 0 0 0 0 0 0 ...
> x
Open High Low Close Volume Adj.Close Return
2008-11-28 69.00 70.00 67.00 68.50 2163200 54.9989 0.000000000
2008-12-01 67.75 69.00 66.00 66.00 2456100 52.9916 0.000000000
2008-12-02 64.00 67.75 63.25 67.25 2783000 53.9953 0.000000000
2008-12-03 67.25 68.75 64.50 68.00 2200300 54.5974 0.000000000
2008-12-04 68.00 70.75 67.50 68.50 2418000 54.9989 0.000000000
2008-12-05 68.00 68.75 63.50 64.50 2162200 51.7873 0.000000000
2008-12-08 67.25 73.50 67.25 72.00 4363100 57.8090 0.000000000
2008-12-09 71.25 76.25 70.00 74.50 4266500 59.8163 0.000000000
2008-12-10 73.75 78.00 73.00 77.50 3395900 62.2250 0.000000000
2008-12-11 76.75 76.75 74.25 76.00 2474600 61.0207 0.000000000
2008-12-12 74.00 74.75 72.25 74.50 3141800 59.8163 0.000000000
2008-12-15 70.00 74.50 67.25 67.25 7125600 53.9953 0.000000000
2008-12-16 66.25 69.50 66.00 69.50 3063200 55.8018 0.000000000
2008-12-17 69.25 70.00 67.00 70.00 2543400 56.2032 0.000000000
2008-12-18 69.50 73.50 69.25 72.25 4366000 58.0098 0.000000000
2008-12-19 70.50 72.00 69.75 71.75 2346600 57.6083 0.000000000
2008-12-22 70.50 71.00 68.25 69.75 3057600 56.0025 0.000000000
2008-12-23 68.75 69.50 67.50 69.25 2327700 55.6011 0.000000000
2008-12-24 69.25 69.25 69.25 69.25 0 55.6011 0.000000000
2008-12-25 69.25 69.25 69.25 69.25 0 55.6011 0.000000000
2008-12-26 69.25 69.25 69.25 69.25 0 55.6011 0.000000000
2008-12-29 69.00 69.75 67.50 68.00 1187600 54.5974 0.000000000
2008-12-30 67.75 68.50 66.50 66.75 1888700 53.5938 0.000000000
2008-12-31 66.75 66.75 66.75 66.75 0 53.5938 0.000000000
2009-01-01 66.75 66.75 66.75 66.75 0 53.5938 0.000000000
2009-01-02 67.75 72.75 67.00 72.25 1887500 58.0098 0.000000000
2009-01-05 73.75 75.50 73.00 74.25 2020400 59.6156 0.000000000
2009-01-06 74.25 74.25 74.25 74.25 0 59.6156 0.000000000
2009-01-07 73.75 75.00 73.50 74.50 2962600 59.8163 0.000000000
2009-01-08 73.00 74.25 71.00 72.25 2239100 58.0098 0.000000000
2009-01-09 72.00 72.25 70.25 71.25 1983600 57.2069 0.000000000
2009-01-12 69.50 71.00 69.00 69.75 1487000 56.0025 0.000000000
2009-01-13 68.75 69.75 67.75 68.75 2859100 55.1996 0.000000000
2009-01-14 69.75 69.75 63.25 64.25 2586900 51.5865 0.000000000
2009-01-15 64.00 66.50 60.75 63.00 4090800 50.5829 0.000000000
2009-01-16 65.00 66.00 64.00 64.75 2455600 51.9880 0.000000000
2009-01-19 66.00 66.00 64.75 65.50 2839200 52.5902 0.000000000
2009-01-20 66.00 66.75 62.25 62.75 2787600 50.3822 0.000000000
2009-01-21 62.00 67.50 61.75 65.25 5090700 52.3894 0.000000000
2009-01-22 67.00 69.00 65.50 65.75 2994600 52.7909 0.000000000
2009-01-23 64.75 66.00 61.25 62.00 4463400 49.7800 0.000000000
2009-01-26 62.00 65.75 61.50 65.75 3698700 52.7909 0.000000000
2009-01-27 66.00 67.25 64.75 65.75 3445900 52.7909 0.000000000
2009-01-28 66.25 69.00 66.00 67.00 2766400 53.7945 0.000000000
2009-01-29 67.00 67.25 62.25 62.75 2090700 50.3822 0.000000000
2009-01-30 63.00 63.75 59.00 60.50 6437600 48.5757 0.000000000
2009-02-02 60.25 62.00 58.75 60.25 3267600 48.3749 0.000000000
2009-02-03 60.75 62.50 59.25 62.50 3148000 50.1815 0.000000000
2009-02-04 62.75 69.50 61.75 68.25 6579500 54.7982 0.000000000
2009-02-05 66.00 69.50 66.00 69.00 6733600 55.4003 0.000000000
2009-02-06 69.00 71.00 68.25 70.00 5031600 56.2032 0.000000000
2009-02-09 69.50 72.00 68.75 71.75 3794200 57.6083 0.000000000
2009-02-10 70.25 72.00 69.75 70.75 2991500 56.8054 0.000000000
2009-02-11 68.75 70.75 68.25 68.50 2566400 54.9989 0.000000000
2009-02-12 67.75 70.25 66.75 70.00 3083800 56.2032 0.000000000
2009-02-13 70.25 71.50 68.00 69.25 2227000 55.6011 0.000000000
2009-02-16 68.50 69.25 67.25 68.75 1087100 55.1996 0.000000000
2009-02-17 67.50 67.50 65.00 65.50 1630200 52.5902 0.000000000
2009-02-18 65.00 65.50 62.50 65.00 40400 52.1887 0.000000000
2009-02-19 65.00 68.00 64.50 66.50 2701100 53.3931 0.000000000
2009-02-20 64.25 65.00 60.75 61.25 5534300 49.1778 0.000000000
2009-02-23 62.00 62.50 58.50 58.75 2524300 47.1706 0.000000000
2009-02-24 58.75 60.25 56.75 58.00 5117600 46.5684 0.000000000
2009-02-25 59.50 61.75 59.25 60.25 4418400 48.3749 0.000000000
2009-02-26 61.50 64.50 60.50 63.50 6482600 50.9844 0.000000000
2009-02-27 61.50 62.75 60.00 62.00 2834500 49.7800 0.000000000
2009-03-02 61.25 61.25 58.00 59.50 3087100 47.7727 0.000000000
2009-03-03 60.00 60.75 57.75 58.50 2606300 46.9698 0.000000000
2009-03-04 60.00 60.00 58.00 59.75 4554800 47.9735 0.000000000
2009-03-05 59.00 59.75 57.25 58.00 2777600 46.5684 0.000000000
2009-03-06 56.50 58.75 56.50 57.50 3338300 46.1669 0.000000000
2009-03-09 58.50 58.75 57.00 58.00 3708500 46.5684 0.000000000
2009-03-10 58.00 61.00 57.50 60.25 5163300 48.3749 0.000000000
2009-03-11 60.00 62.75 59.00 61.50 3668700 49.3786 0.000000000
2009-03-12 61.50 61.75 58.50 61.25 3404600 49.1778 0.000000000
2009-03-13 63.00 64.00 60.75 62.00 4048500 49.7800 0.000000000
2009-03-16 63.00 64.50 62.25 62.50 2945300 50.1815 0.000000000
2009-03-17 62.75 62.75 60.50 60.75 2369800 48.7764 0.000000000
2009-03-18 62.25 62.50 59.25 60.25 1968600 48.3749 0.000000000
2009-03-19 61.00 64.75 60.25 64.25 3730400 51.5865 0.000000000
2009-03-20 63.75 65.00 63.50 63.50 3186200 50.9844 0.000000000
2009-03-23 64.75 65.50 63.00 65.50 2738400 52.5902 0.000000000
2009-03-24 65.50 66.00 63.00 64.50 2994200 51.7873 0.000000000
2009-03-25 63.75 69.00 62.75 67.75 4342500 54.3967 0.000000000
2009-03-26 67.00 69.25 66.75 68.00 8300 54.5974 0.000000000
2009-03-27 67.75 69.50 66.75 68.50 3407200 54.9989 0.000000000
2009-03-30 66.75 67.00 63.75 64.50 3123200 51.7873 0.000000000
2009-03-31 64.00 66.25 63.00 64.50 3261600 51.7873 0.000000000
2009-04-01 64.50 64.75 60.75 64.25 6808900 51.5865 0.000000000
2009-04-02 67.00 73.25 66.75 72.75 8180500 58.4112 0.000000000
2009-04-03 72.00 76.50 71.25 75.75 5628500 60.8199 0.000000000
2009-04-06 76.00 76.75 74.25 75.00 3238900 60.2178 0.000000000
2009-04-07 75.75 76.00 72.25 73.75 3765800 59.2141 0.000000000
2009-04-08 72.00 75.75 71.50 75.50 3177100 60.6192 0.000000000
2009-04-09 75.50 76.00 74.25 76.00 887600 61.0207 0.000000000
2009-04-10 76.00 76.00 76.00 76.00 0 61.0207 0.000000000
2009-04-13 76.00 76.00 76.00 76.00 0 61.0207 0.000000000
2009-04-14 78.00 80.75 77.00 79.00 3923200 63.4294 0.000000000
2009-04-15 78.00 79.00 75.75 76.00 2425700 61.0207 0.000000000
2009-04-16 77.50 79.50 76.00 79.25 3331200 63.6301 0.000000000
2009-04-17 79.25 83.00 79.00 81.25 4058600 65.2359 0.000000000
2009-04-20 80.00 80.50 75.75 76.75 3682800 61.6228 0.000000000
2009-04-21 76.25 76.75 73.25 75.75 3293500 60.8199 0.000000000
2009-04-22 84.00 91.50 82.00 88.00 10525000 70.6555 0.000000000
2009-04-23 89.75 92.75 88.75 90.25 5664200 72.4620 0.000000000
2009-04-24 90.75 94.75 89.50 93.75 3982600 75.2722 0.000000000
2009-04-27 92.25 100.25 91.75 97.50 4702300 78.2831 0.000000000
2009-04-28 95.75 96.00 92.25 95.00 6479800 76.2758 0.000000000
2009-04-29 94.50 97.50 92.75 95.00 2565300 76.2758 0.000000000
2009-04-30 95.00 96.75 92.00 92.00 2480500 73.8671 0.000000000
2009-05-01 92.00 92.00 92.00 92.00 0 73.8671 0.000000000
2009-05-04 95.75 100.00 94.00 100.00 3653000 80.2903 0.086956169
2009-05-05 100.00 101.75 97.75 97.75 3400 78.4838 -0.022499605
2009-05-06 98.00 104.00 96.50 102.75 4010500 82.4983 0.051150683
2009-05-07 104.25 105.00 98.50 99.75 5145800 80.0896 -0.029196965
2009-05-08 101.25 103.25 99.25 100.25 2782200 80.4911 0.005013135
2009-05-11 100.25 100.75 93.50 97.25 3925100 78.0824 -0.029925048
2009-05-12 96.50 99.00 94.00 94.50 2770700 75.8744 -0.028277819
2009-05-13 94.75 95.50 88.25 89.00 4618500 71.4584 -0.058201449
2009-05-14 89.00 92.75 87.50 91.75 2712300 73.6664 0.030899097
2009-05-15 94.00 94.00 91.00 92.50 1675400 74.2686 0.008174690
2009-05-18 91.25 97.75 91.00 97.00 3331500 77.8816 0.048647746
2009-05-19 99.25 103.75 98.75 99.50 5343000 79.8889 0.025773739
2009-05-20 100.25 101.00 98.50 100.25 1169700 80.4911 0.007537968
2009-05-21 100.25 100.25 100.25 100.25 0 80.4911 0.000000000
2009-05-22 98.00 99.50 95.75 96.75 2095400 77.6809 -0.034913177
2009-05-25 96.50 97.75 95.50 96.00 1016600 77.0787 -0.007752227
2009-05-26 94.75 96.75 90.75 96.00 3642600 77.0787 0.000000000
2009-05-27 97.50 98.00 96.75 97.50 3729400 78.2831 0.015625588
2009-05-28 96.25 99.00 96.00 98.00 3575300 78.6845 0.005127543
2009-05-29 99.25 100.00 95.25 95.50 3396900 76.6773 -0.025509471
2009-06-01 97.00 100.75 97.00 100.75 1963400 80.8925 0.054973245
2009-06-02 98.00 99.25 95.75 98.00 3547300 78.6845 -0.027295485
2009-06-03 98.75 98.75 95.75 96.75 1865100 77.6809 -0.012754736
2009-06-04 97.25 98.00 96.75 98.00 2496300 78.6845 0.012919521
2009-06-05 98.75 102.25 98.50 100.25 3226800 80.4911 0.022960049
2009-06-08 100.25 101.00 97.25 99.50 2333200 79.8889 -0.007481572
2009-06-09 100.25 103.00 100.25 102.25 4285900 82.0969 0.027638383
2009-06-10 103.25 105.00 102.50 103.50 3933000 83.1005 0.012224579
2009-06-11 105.75 109.00 105.50 108.00 7400700 86.7136 0.043478679
2009-06-12 108.50 110.50 107.50 109.25 3325200 87.7172 0.011573732
2009-06-15 108.25 108.25 103.50 104.00 1848400 83.5019 -0.048055569
2009-06-16 103.75 105.00 102.75 102.75 21000 82.4983 -0.012018888
2009-06-17 101.50 102.25 97.50 99.00 4273700 79.4874 -0.036496510
2009-06-18 99.75 100.75 98.25 100.00 1910400 80.2903 0.010100972
2009-06-19 100.00 100.00 100.00 100.00 0 80.2903 0.000000000
2009-06-22 99.00 99.75 94.00 94.50 3168000 75.8744 0.000000000
2009-06-23 94.50 98.75 94.25 97.50 2356000 78.2831 0.000000000
2009-06-24 99.00 102.50 98.00 102.00 2184800 81.8961 0.046153001
2009-06-25 101.50 103.00 100.00 103.00 1950300 82.6990 0.009803886
2009-06-26 105.00 107.25 103.75 104.50 2649900 83.9034 0.014563659
2009-06-29 105.00 109.25 104.50 108.75 2420700 87.3157 0.040669389
2009-06-30 109.75 110.50 107.25 107.75 2999500 86.5128 -0.009195368
2009-07-01 108.50 111.50 108.50 111.00 2335800 89.1223 0.030163167
2009-07-02 110.50 111.00 106.75 108.00 3151600 86.7136 -0.027026906
2009-07-03 108.00 108.50 106.00 107.00 809300 85.9107 -0.009259217
2009-07-06 106.75 107.50 104.75 106.25 2030400 85.3085 -0.007009604
2009-07-07 107.00 109.50 105.75 107.50 2644100 86.3121 0.011764361
2009-07-08 107.00 108.75 106.25 106.75 3189000 85.7099 -0.006977006
2009-07-09 108.50 110.25 108.50 109.00 3032300 87.5165 0.021078078
2009-07-10 109.25 111.50 108.25 109.25 2637000 87.7172 0.002293282
2009-07-13 108.75 111.25 106.75 110.00 1901300 88.3194 0.006865244
2009-07-14 111.25 112.00 109.25 110.75 2061800 88.9215 0.006817302
2009-07-15 112.00 116.75 111.25 116.75 4185600 93.7390 0.054176999
2009-07-16 125.00 130.50 124.25 127.50 9537100 102.3702 0.092076937
2009-07-17 129.00 131.00 126.25 129.75 2709700 104.1767 0.017646737
2009-07-20 130.00 132.00 129.50 131.00 1762400 105.1803 0.009633632
2009-07-21 131.50 132.25 126.50 127.25 3644800 102.1695 -0.028625132
2009-07-22 127.50 132.25 127.50 130.75 4810100 104.9796 0.027504294
2009-07-23 131.25 131.25 126.75 130.00 3299000 104.3774 -0.005736353
2009-07-24 129.00 133.50 129.00 133.00 52200 106.7861 0.023076835
2009-07-27 134.50 134.75 130.00 132.00 2038900 105.9832 -0.007518769
2009-07-28 132.00 132.75 128.75 130.00 2058000 104.3774 -0.015151458
2009-07-29 130.00 131.50 127.00 128.25 2245700 102.9724 -0.013460768
2009-07-30 130.25 134.25 129.25 134.00 3305500 107.5890 0.044833373
2009-07-31 133.25 138.25 133.00 135.00 3155600 108.3920 0.007463588
2009-08-03 135.00 138.00 134.00 137.25 1916800 110.1985 0.016666359
2009-08-04 136.75 136.75 131.00 132.50 2139700 106.3847 -0.034608457
2009-08-05 132.00 136.00 132.00 134.50 2780800 107.9905 0.015094276
2009-08-06 135.50 139.25 135.00 136.00 2847500 109.1949 0.011152833
2009-08-07 135.25 141.00 134.50 140.00 3169600 112.4065 0.029411630
2009-08-10 139.75 139.75 137.75 139.00 1840700 111.6036 -0.007142825
2009-08-11 138.75 140.00 135.00 135.25 2143500 108.5927 -0.026978520
2009-08-12 134.75 138.50 134.50 138.50 2653600 111.2021 0.024029240
2009-08-13 139.00 149.75 138.75 143.75 8064400 115.4174 0.037906658
2009-08-14 144.25 148.50 141.50 142.75 40600 114.6145 -0.006956490
2009-08-17 141.25 142.00 137.25 137.50 2820500 110.3992 -0.036778069
2009-08-18 138.00 139.00 134.50 137.25 3389500 110.1985 -0.001817948
2009-08-19 136.00 139.75 134.25 138.50 3337300 111.2021 0.009107202
2009-08-20 141.00 148.25 141.00 147.50 5540400 118.4282 0.064981686
2009-08-21 147.50 154.00 147.25 153.50 5896100 123.2457 0.040678656
2009-08-24 155.50 157.00 150.00 154.00 3100300 123.6471 0.003256909
2009-08-25 151.00 151.00 148.75 149.75 3166000 120.2348 -0.027597089
2009-08-26 148.80 149.80 142.40 146.30 4975000 117.4648 -0.023038255
2009-08-27 144.70 146.30 142.70 145.30 2433000 116.6619 -0.006835239
2009-08-28 147.10 153.50 146.40 152.50 4590400 122.4428 0.049552596
2009-08-31 151.50 152.75 146.80 147.50 2984800 118.4282 -0.032787555
2009-09-01 148.60 148.90 145.10 145.30 3402800 116.6619 -0.014914522
2009-09-02 144.00 146.30 140.50 145.60 3403400 116.9027 0.002064084
2009-09-03 146.10 148.40 144.90 147.00 2835000 118.0268 0.009615689
2009-09-04 149.40 153.25 149.10 153.25 3937700 123.0449 0.042516615
x$Return is a vector, not a data.frame and therefore does not have rownames. Use x["Return"] or as.xts(d)[,"Return"] instead.
Related
Here are my data showing the cardiopulmonary evolution during an acute exercise with gaz exchange analysis. As we can see, when I report data according the relative percentage of peak power (percent_power), the percentage doesn't correspond between each individuals, because, of course, everyone has a different peak.
Then, I would like to create an interpolation for each individual to estimate specific percentages (e.g. 25%, 50%, 75%) for each individual, and put in a column. Consequently, each variable should be estimated as well and should correspond to the new estimated 25, 50, 75 % of percent_power.
Thank you very much all for your help,
id power training hr fr VE absVO2 VCO2 PETCO2 VES QC IC WCI RVSi RVS VTD FE body_mass percent_absVO2 percent_power relVO2 percent_relVO2 group temps
1 AC12-PRD-C1 25 linear 88.75 22.75 22.75 0.73900 0.66700 39.2925 88.650 8.025 3.975 4.825 1768.75 876.00 143.025 62.050 84.0 49.34068 21.73913 8.797619 49.34068 CHD 1
2 AC12-PRD-C1 40 linear 93.25 23.00 23.75 0.81975 0.71500 39.6200 87.375 8.050 3.975 4.825 1759.50 871.75 141.625 61.725 84.0 54.73210 34.78261 9.758929 54.73210 CHD 1
3 AC12-PRD-C1 55 linear 99.75 22.75 26.75 0.95125 0.85400 41.4100 93.375 9.175 4.550 5.525 1540.50 763.00 150.325 62.100 84.0 63.51193 47.82609 11.324405 63.51193 CHD 1
4 AC12-PRD-C1 70 linear 109.75 23.00 32.50 1.07525 1.04700 42.0150 93.825 10.025 4.925 6.000 1414.25 700.50 145.750 64.375 84.0 71.79102 60.86957 12.800595 71.79102 CHD 1
5 AC12-PRD-C1 85 linear 118.75 22.75 39.50 1.19900 1.25125 41.8425 97.375 11.225 5.575 6.750 1260.75 624.50 148.975 65.325 84.0 80.05341 73.91304 14.273810 80.05341 CHD 1
6 AC12-PRD-C1 100 linear 127.00 26.00 48.25 1.34575 1.51850 41.0950 100.900 12.550 6.225 7.525 1127.75 558.75 154.225 65.475 84.0 89.85144 86.95652 16.020833 89.85144 CHD 1
7 AC12-PRD-C1 115 linear 135.75 28.00 55.75 1.49775 1.76025 40.7275 104.475 13.950 6.875 8.375 1014.00 502.25 157.975 66.250 84.0 100.00000 100.00000 17.830357 100.00000 CHD 1
8 AC12-PRD-C2 25 linear 84.25 20.50 20.75 0.67625 0.59950 38.9575 102.700 8.650 4.275 5.575 1775.00 879.50 216.450 48.350 84.8 40.10378 17.24138 7.974646 40.10378 CHD 2
9 AC12-PRD-C2 40 linear 89.25 20.50 23.25 0.73350 0.66225 38.5500 111.625 9.725 4.800 6.250 1567.75 776.75 217.800 51.825 84.8 43.49889 27.58621 8.649764 43.49889 CHD 2
10 AC12-PRD-C2 55 linear 96.25 22.25 26.75 0.83550 0.77500 38.3350 101.300 9.325 4.625 6.000 1619.75 802.75 202.700 50.350 84.8 49.54781 37.93103 9.852594 49.54781 CHD 2
11 AC12-PRD-C2 70 linear 102.25 21.75 32.50 1.06250 1.01550 39.6525 103.550 10.350 5.125 6.625 1459.00 723.00 194.050 53.675 84.8 63.00964 48.27586 12.529481 63.00964 CHD 2
12 AC12-PRD-C2 85 linear 110.75 22.25 37.75 1.18075 1.19225 40.1300 100.825 10.650 5.275 6.825 1424.00 705.25 194.250 51.900 84.8 70.02224 58.62069 13.923939 70.02224 CHD 2
13 AC12-PRD-C2 100 linear 118.25 23.00 42.75 1.35100 1.40300 41.1500 108.950 12.375 6.100 7.950 1225.50 606.75 197.325 55.175 84.8 80.11861 68.96552 15.931604 80.11861 CHD 2
14 AC12-PRD-C2 115 linear 129.25 24.75 51.25 1.50650 1.65650 40.7575 107.625 13.275 6.550 8.525 1133.50 561.50 201.225 53.525 84.8 89.34025 79.31034 17.765330 89.34025 CHD 2
15 AC12-PRD-C2 130 linear 136.25 26.50 58.75 1.57325 1.83200 39.6750 108.925 14.375 7.125 9.250 1045.75 518.25 196.025 55.675 84.8 93.29874 89.65517 18.552476 93.29874 CHD 2
16 AC12-PRD-C2 145 linear 147.50 29.75 70.00 1.68625 2.07350 38.1600 104.875 15.025 7.450 9.600 1010.75 500.75 185.400 56.825 84.8 100.00000 100.00000 19.885024 100.00000 CHD 2
17 AL13-PRD-C1 25 nonlinear 69.50 16.50 24.00 0.66125 0.58050 31.2275 101.825 7.175 3.500 4.450 2126.50 1037.25 220.850 48.550 85.5 41.36691 19.23077 7.733918 41.36691 CHD 1
18 AL13-PRD-C1 40 nonlinear 73.00 17.50 26.50 0.74850 0.66425 32.1025 107.850 7.775 3.775 4.850 1942.00 947.25 242.825 48.000 85.5 46.82515 30.76923 8.754386 46.82515 CHD 1
19 AL13-PRD-C1 55 nonlinear 83.25 15.50 29.00 0.85500 0.79425 33.6650 110.250 9.075 4.375 5.650 1706.00 832.50 233.500 47.325 85.5 53.48764 42.30769 10.000000 53.48764 CHD 1
20 AL13-PRD-C1 70 nonlinear 93.75 16.00 36.50 0.98450 0.99925 34.5325 114.650 10.425 5.075 6.525 1462.00 713.25 233.075 49.175 85.5 61.58899 53.84615 11.514620 61.58899 CHD 1
21 AL13-PRD-C1 85 nonlinear 104.50 16.00 44.75 1.14950 1.23475 34.4225 120.650 12.150 5.925 7.550 1249.25 609.25 233.575 51.775 85.5 71.91117 65.38462 13.444444 71.91117 CHD 1
22 AL13-PRD-C1 100 nonlinear 114.25 19.25 55.25 1.34650 1.48375 33.1800 115.250 12.775 6.275 7.975 1178.25 574.75 220.375 52.350 85.5 84.23522 76.92308 15.748538 84.23522 CHD 1
23 AL13-PRD-C1 115 nonlinear 125.25 20.75 63.75 1.45100 1.65775 32.6450 117.500 14.100 6.875 8.825 1095.25 534.25 236.575 50.200 85.5 90.77260 88.46154 16.970760 90.77260 CHD 1
24 AL13-PRD-C1 130 nonlinear 136.25 24.75 78.00 1.59850 1.89075 30.9000 119.150 15.575 7.600 9.700 968.25 472.25 231.075 51.600 85.5 100.00000 100.00000 18.695906 100.00000 CHD 1
25 AL13-PRD-C2 25 nonlinear 60.25 15.75 19.00 0.56950 0.46550 32.2575 154.625 9.450 4.700 6.075 1597.75 794.75 348.975 44.850 82.4 30.83378 15.62500 6.911408 30.83378 CHD 2
26 AL13-PRD-C2 40 nonlinear 63.25 14.25 19.50 0.63175 0.52325 33.5700 143.225 9.275 4.625 5.975 1631.75 811.50 326.325 44.575 82.4 34.20411 25.00000 7.666869 34.20411 CHD 2
27 AL13-PRD-C2 55 nonlinear 72.75 15.75 25.00 0.82600 0.69925 34.4600 147.350 10.175 5.075 6.525 1497.25 744.75 312.475 47.950 82.4 44.72117 34.37500 10.024272 44.72117 CHD 2
28 AL13-PRD-C2 70 nonlinear 79.00 15.50 30.75 0.94525 0.86850 34.9675 153.575 11.925 5.925 7.675 1257.00 625.25 271.525 56.625 82.4 51.17759 43.75000 11.471481 51.17759 CHD 2
29 AL13-PRD-C2 85 nonlinear 88.25 16.00 37.50 1.15050 1.08025 35.6175 155.200 13.325 6.625 8.550 1127.00 560.50 282.300 54.975 82.4 62.29020 53.12500 13.962379 62.29020 CHD 2
30 AL13-PRD-C2 100 nonlinear 99.00 16.75 44.75 1.29925 1.31475 35.6475 154.150 14.775 7.325 9.500 1030.75 512.50 285.350 54.500 82.4 70.34380 62.50000 15.767597 70.34380 CHD 2
31 AL13-PRD-C2 115 nonlinear 107.00 18.00 50.00 1.39775 1.45600 36.0325 161.000 16.675 8.300 10.725 898.00 446.50 282.850 57.175 82.4 75.67677 71.87500 16.962985 75.67677 CHD 2
32 AL13-PRD-C2 130 nonlinear 118.50 21.00 61.50 1.55100 1.73675 34.8775 162.300 18.300 9.100 11.750 815.75 405.75 276.700 58.700 82.4 83.97401 81.25000 18.822816 83.97401 CHD 2
33 AL13-PRD-C2 145 nonlinear 128.25 24.25 74.75 1.71275 1.99100 33.3300 161.025 19.925 9.900 12.800 749.50 372.75 267.875 60.175 82.4 92.73146 90.62500 20.785801 92.73146 CHD 2
34 AL13-PRD-C2 160 nonlinear 142.50 29.00 90.50 1.84700 2.21650 30.9325 154.750 20.925 10.425 13.425 715.50 355.75 272.250 57.100 82.4 100.00000 100.00000 22.415049 100.00000 CHD 2
I have loop to analysis of 25 time series, In the analysis I need to get the mean of the individual columns for each station , for example the mean of all the Januaries, the same for all the Februaries, etc., etc. To complicate matters the time series are not all the same length, for example station 1 might run from 1900 to 1955 while station 2 might run from 1881 to 1945. So I need the mean of a Januaries of station 1, the mean of all Februaries of Station 1, etc., etc. and the same process for station 2 etc., etc. My times do not all start in January or end in December, but can start and finish in any month, each time series is individual. To get the colMeans, I need to change the time series to a matrix, but I need to pad out the empty spaces with NAs. Now how can I do that and put the function into the loop
Below is an example of my data
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
1951 15.50 18.74 22.75 25.90 25.43 27.61
1952 27.60 27.72 27.63 24.38 20.34 17.74 17.90 20.57 23.13 25.60 26.41 26.98
1953 25.80 26.19 24.99 23.23 19.59 15.78 14.85 18.97 20.44 25.78 26.65 27.00
1954 26.25 26.97 25.33 23.16 20.47 15.47 15.64 18.33 22.71 26.71 25.77 25.94
1955 26.69 25.36 24.19 23.42 19.65 17.10 17.36 18.67 20.95 24.41 24.93 26.12
1956 26.02 26.48 25.81 23.91 20.78 17.40 17.48 19.96 21.06 25.44 26.16 25.92
1957 26.67 28.03 25.24 24.40 19.89 16.54 17.99 19.01 24.81 26.18 28.38 26.96
1958 25.90 26.49 24.90 24.67 21.36 16.19 16.29 17.20 22.18 24.52 29.13 26.65
1959 26.53 26.65 25.17 24.26 20.67 17.56 18.11 18.49 21.50 26.21 26.48 27.52
1960 27.25 26.04 26.58 22.80 19.41 17.16 15.57 20.24 22.86 26.68 25.71 27.58
1961 26.79 25.88 26.19 24.22 22.09 17.77 17.91 18.56 23.27 24.94 25.68 26.66
1962 27.03 28.11 26.05 23.81 18.79 17.32 16.04 19.23 23.14 27.57 27.37 27.09
1963 26.91 26.68 24.97 22.87 18.71 16.79 16.05 18.25 23.52 25.73 27.08 26.86
1964 28.63 28.04 28.16 23.98 19.78 15.40 14.98 18.32 22.88 25.60 26.55 25.23
1965 27.77 28.87 26.62 23.40 19.49 15.62 17.14 19.79 22.09 23.44 26.32 28.40
1966 29.68 26.63 25.50 23.13 19.49 18.65 17.69 19.32 22.12 23.88 27.37 27.75
1967 27.84 26.46 25.75 24.20 20.15 17.22 15.64 18.39 22.41 25.38 27.42 27.62
1968 30.27 27.91 26.32 22.56 19.86 14.16 17.07 19.76 22.42 26.05 24.61 26.38
1969 28.72 30.04 25.85 23.68 20.09 18.32 16.85 19.61 22.10 24.97 27.28 25.46
1970 29.62 27.24 26.62 23.34 20.20 16.95 17.40 20.23 24.21 24.74 27.25 28.71
1971 26.25 26.44 28.15 25.31 19.14 16.21 16.92 19.12 23.09 24.28 24.43 27.19
1972 26.64 26.07 25.17 24.13 19.45 15.83 16.14 18.45 22.74 24.98 25.54 30.09
1973 30.44 28.54 28.10 22.80 20.36 18.05 16.74 19.16 23.56 24.64 25.97 25.50
1974 27.46 26.52 25.44 22.36 19.79 16.83 16.70 19.89 21.39 26.22 25.84 25.93
1975 27.84 25.91 24.42 22.87 20.90 16.42 16.25 18.79 23.24 24.54 27.07 26.97
1976 26.05 26.33 24.95 22.07 18.42 16.88 15.79 17.24 23.01 25.26 27.65 29.15
1977 30.00 26.31 23.47 23.17 20.21 17.23 16.12 18.80 23.55 25.93 26.97 26.68
1978 25.99 26.36 26.31 22.49 19.72 15.88 15.99 21.64 23.57 24.68 24.78 26.47
1979 26.98 28.17 25.36 24.06 20.65 17.64 15.98 19.89 22.63 25.40 25.31 27.03
1980 27.74 28.05 25.47 23.72 20.55 15.96
I have an SVG that is effectively being used as a 'mask'; it's displayed over the top of another div with a background image so that the image peeks through the unfilled areas of the SVG. The SVG itself is responsive to the height of the document (rather than the width). This works fine so far.
However, I've just been made aware that if you resize the (Chrome) browser, the background image overflows out of the bounds of the masking SVG; however, if you refresh the resized page, everything appears as expected - it only occurs on resize, and only in Chrome (oh, and Opera too, apparently). Works as expected in FF and Safari.
I've included a demo here (and a jsFiddle) with an inline SVG, however it doesn't seem to matter if it's inline or with an <img /> tag - the results are the same.
It seems to be somehow related to the containing element; if I open up the inspector and set the containing element's padding to 0 after it goes screwy, then it seems to figure itself out and suddenly appear as expected; however if I include that rule in the loaded CSS then it makes no difference. I even tried triggering similar CSS properties on page resize via Javascript, but it hasn't made any difference.
Am I missing something, or have I stumbled across a bug?
#splash {
position: relative;
height: 100vh;
padding: 3rem;
overflow: hidden;
display: flex;
-webkit-box-align: center;
align-items: center;
background-color: #DDDDDD;
}
#logowrapper {
position: relative;
width: auto;
height: 60%;
margin: auto;
}
#logowrapper .kitten {
position: absolute;
top: 0;
left: 0;
bottom: 0;
right: 0;
background-image: url('http://placekitten.com/200/300');
background-size: cover;
}
#logowrapper svg {
position: relative;
width: auto;
height: 100%;
z-index: 4;
}
<div id="splash">
<div id="logowrapper">
<div class="kitten"></div>
<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" viewBox="0 0 200 300" preserveAspectRatio="xMinYMin meet">
<defs/>
<g>
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105.65 30.55 110.05 43.2 110.05 53 110.05 59.2 105.3 65.35 100.55 65.35 92.95 65.35 85.7 59.2 81.75 56.8 80.25 47.7 77.15 41.55 75.05 41.55 72.35 41.55 70.65 42.8 69.75 44 68.85 46 68.85 49.6 68.85 54.05 72.8 58.5 76.8 60.5 76.8 62.2 76.8 63.35 75.4 64.5 74.05 64.5 72.05 64.5 69 62.2 65.25 59.7 61.15 56.95 61.15 56.25 61.15 55.15 61.6 L53.55 62.05 48 60.6 42.8 60 Q34.4 60 28.7 64.75 23 69.5 23 76.5 23 83.15 29.1 87.7 32 89.75 40.45 93.4 46.5 96 46.5 98 46.5 99.45 44.9 100.35 43.25 101.3 40.75 101.3 33.95 101.3 30 95.85 26.05 90.45 24.6 90.45 M24.1 34.7 Q24.1 33.75 24.95 33.75 26.55 33.75 26.55 36.05 26.55 38.25 24.6 38.25 24.2 38.25 24.1 38.1 23.95 37.9 23.95 37.5 L24.1 34.7 M19.6 31.3 Q16.95 31.3 16.95 32.7 16.95 33.2 17.5 33.45 18.7 33.95 18.7 37 L18.65 41.9 Q18.65 44.55 17.5 45.25 16.95 45.6 16.95 46.05 16.95 47.7 21.3 47.7 L24.6 47.35 Q25.6 47.05 25.6 46.25 25.6 45.7 25.1 45.4 24.1 44.8 24.1 42.25 L24.1 41.95 24.2 41.15 Q24.3 40.75 24.8 40.75 26.05 40.75 26.6 42.6 27.5 45.7 27.75 46.05 28.85 47.9 31.5 47.9 L34.15 47.45 Q35.15 46.95 35.15 46.15 35.15 45.6 34.35 45.3 33.5 45 33.4 43.9 33.1 41.6 32.1 40.55 31.2 39.55 30.2 39.2 L31.75 37.75 Q32.5 36.85 32.5 35.45 32.5 33.55 30.95 32.4 29.4 31.2 26.85 31.2 L24.05 31.4 22.35 31.45 21 31.35 19.6 31.3 M76.35 33.8 Q77.4 33.8 78 34.5 78.6 35.2 78.6 36.45 78.6 37.7 78.05 38.35 77.5 39 76.5 39 L75.7 38.8 75.45 38.25 75.45 34.25 Q75.45 33.8 76.35 33.8 M42.9 33.9 L44.45 33.65 Q47.5 33.65 48.45 35.2 48.85 35.85 49.45 35.85 50.7 35.85 50.7 34.2 50.7 32.95 50.1 31.95 49.55 30.95 48.85 30.95 L47.1 31.3 44.15 31.4 38.1 31.4 36 31.65 Q35.5 31.9 35.5 32.6 35.5 33.15 36.2 33.45 L37.05 34 Q37.6 35.2 37.6 39.75 L37.5 42.45 37.25 44.4 Q37.05 45.2 36.35 45.6 35.65 45.95 35.65 46.45 35.65 47.45 36.9 47.45 L46.8 47.45 48.55 47.65 49.5 47.7 Q50.25 47.7 51 45.9 L51.65 43.45 51.35 42.3 Q51 41.9 50.5 41.9 50.15 41.9 49.1 43.5 47.95 45.1 44.95 45.1 43.35 45.1 43 44.65 42.7 44.15 42.7 41.95 42.7 41 42.85 40.65 43.05 40.35 43.6 40.35 44.8 40.35 45.1 41.55 45.35 42.75 45.9 42.75 46.6 42.75 47.05 41.75 47.45 40.7 47.45 39.05 47.45 37.4 47.1 36.5 46.7 35.6 46.05 35.6 45.25 35.6 45.05 36.85 44.8 38.1 43.95 38.1 L42.75 37.95 Q42.5 37.8 42.5 37.05 L42.5 35.05 Q42.5 34.2 42.9 33.9 M55.05 32.65 Q53.15 34.25 53.15 36.6 53.15 38.8 55.2 40.3 56.15 41 58.95 42.2 61 43.1 61 43.75 61 44.25 60.45 44.55 L59.05 44.85 Q56.8 44.85 55.5 43.05 54.15 41.25 53.7 41.25 52.7 41.25 52.7 42.55 52.7 45.15 54.05 46.3 55.65 47.75 59.9 47.75 63.15 47.75 65.2 46.2 67.25 44.6 67.25 42.05 67.25 39.65 65.2 38.35 64.4 37.85 61.4 36.8 59.35 36.1 59.35 35.2 59.35 34.65 59.75 34.35 60.15 34.05 60.8 34.05 62 34.05 63.5 35.35 65 36.7 65.65 36.7 66.2 36.7 66.6 36.2 67 35.75 67 35.1 67 34.1 66.2 32.85 65.4 31.45 64.45 31.45 L63.85 31.6 63.35 31.75 61.5 31.3 59.75 31.1 Q56.95 31.1 55.05 32.65 M117.5 61.3 L111.75 61 Q107 61 104.5 61.75 100.8 62.8 100.8 65.6 100.8 66.9 102.85 68.15 104.25 68.9 104.25 69.75 L104.1 70.2 98.1 84.15 97.2 84.4 Q96.25 84.4 96.05 83.9 L90.55 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44.6 137.5 42.05 137.5 39.65 135.45 38.35 134.65 37.85 131.65 36.8 129.6 36.1 129.6 35.2 129.6 34.65 130 34.35 130.4 34.05 131.05 34.05 132.25 34.05 133.75 35.35 135.25 36.7 135.9 36.7 136.45 36.7 136.85 36.2 137.25 35.75 137.25 35.1 137.25 34.1 136.45 32.85 M177.65 155.8 Q176.45 153.75 175 153.75 L171.4 154.4 165.2 154.7 152.6 154.7 148.3 155.15 Q147.25 155.65 147.25 157.15 147.25 158.35 148.65 158.9 150.05 159.45 150.4 160.1 151.6 162.6 151.6 172.1 L151.4 177.7 150.85 181.7 Q150.45 183.45 149 184.2 147.5 184.95 147.5 186 147.5 188.1 150.1 188.1 L170.8 188.1 174.4 188.45 176.35 188.6 Q178 188.6 179.55 184.85 180.85 181.7 180.85 179.75 180.85 178.3 180.2 177.4 179.55 176.5 178.5 176.5 177.75 176.5 175.5 179.85 173.2 183.25 166.9 183.25 163.55 183.25 162.85 182.25 162.2 181.25 162.2 176.6 162.2 174.65 162.55 173.95 162.95 173.3 164.05 173.3 166.65 173.3 167.2 175.8 167.75 178.3 168.9 178.3 170.35 178.3 171.25 176.2 172.15 174.1 172.15 170.65 172.15 167.2 171.35 165.3 170.55 163.4 169.15 163.4 167.55 163.4 167.1 166 166.65 168.65 164.85 168.65 L162.3 168.3 Q161.8 168 161.8 166.45 L161.85 162.3 Q161.85 160.5 162.65 159.9 163.4 159.35 165.85 159.35 172.2 159.35 174.15 162.55 175 163.95 176.25 163.95 178.85 163.95 178.85 160.5 178.85 157.9 177.65 155.8 M173.1 123.45 L172.65 123.45 170.65 123.7 Q169.45 124.1 169.45 124.95 169.45 125.65 169.8 125.9 L170.15 126.3 169.65 127.4 168.95 128 168.9 128 Q168.55 128 168.1 127.4 167.6 126.8 167.6 126.25 L167.95 125.95 168.25 125.4 168.2 125.1 Q168.1 124.4 167.35 124 166.6 123.65 165.75 123.65 L161.8 123.65 160.55 123.85 Q159.3 124.2 159.3 125.05 159.3 125.45 159.65 125.75 160 126.15 160.8 126.45 L162.35 128.05 164.45 131 164.7 131.75 164.75 133.05 164.7 134.75 164.6 136.1 164.1 136.85 Q163.05 137.55 163.05 137.95 163.05 139.15 164.65 139.4 L167.7 139.55 168.35 139.55 169 139.55 170.8 139.35 Q171.65 139 171.95 138.15 L172 137.85 Q172 137.4 171.5 137.05 170.4 136.3 170.4 135.65 L170.4 130.95 174 126.35 175.2 125.9 Q176.05 125.65 176.05 124.8 176.05 123.95 175.65 123.7 175.25 123.4 174.55 123.4 L173.9 123.45 173.25 123.45 173.1 123.45 M165.9 61 L164.2 61.35 161.45 62.1 154.65 60.35 Q151.4 59.55 149.2 59.55 139 59.55 130.85 67.65 122.7 75.7 122.7 85.05 122.7 96.6 130.45 103.5 138.15 110.4 150.5 110.4 164.5 110.4 170.3 101 L173.55 94.1 177.15 92.7 Q178.6 91.85 178.6 90.2 178.6 87 173.95 85.5 170.4 84.35 164.8 84.35 158.15 84.35 154.7 85.35 149.8 86.8 149.8 90.5 149.8 93.3 153.6 93.75 157.45 94.2 157.45 96.25 157.45 98.05 156.35 99.3 155.2 100.6 153.25 100.6 148.8 100.6 144.9 94.55 141.05 88.55 141.05 82.45 141.05 77.3 143.15 73.7 145.8 69.35 150.8 69.35 154.85 69.35 159.1 74.05 163.35 78.75 166.95 78.75 169.15 78.75 170.65 77 172.1 75.3 172.1 72.95 172.1 69.65 170.55 65.75 168.6 61 165.9 61 M165.3 31.5 L163.4 31.4 160.95 31.65 Q159.75 32 159.75 32.95 159.75 33.4 160.4 33.8 L160.9 34.35 160.85 34.5 158.85 39.15 158.55 39.2 158.15 39.05 156.3 34.6 156.3 34.5 Q156.3 34.25 156.8 33.95 157.35 33.65 157.35 33.05 157.35 31.9 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174.8 40.35 176 40.35 176.3 41.55 176.55 42.75 177.1 42.75 177.8 42.75 178.25 41.75 178.65 40.7 178.65 39.05 178.65 37.4 178.3 36.5 177.9 35.6 177.25 35.6 176.45 35.6 176.25 36.85 176 38.1 175.15 38.1 L173.95 37.95 Q173.7 37.8 173.7 37.05 L173.7 35.05 Q173.7 34.2 174.1 33.9 M200 0 L200 300 0 300 0 0 200 0"/>
</g>
</svg>
</div>
</div>
If you want to use a responsive inline SVG in your HTML, the SVG shouldn't have width and height attributes.
Update:
Maybe It's a bug on Blink (or Webkit). And I tried to use a redraw hack.
https://jsfiddle.net/pbg1g4uv/2/
#logowrapper svg {
position: relative;
width: auto;
height: 100%;
z-index: 4;
animation: redraw 1s infinite;
}
#keyframes redraw {
from { min-width: 1px; }
to { min-width: 2px; }
}
Quantmod version 0.4.0
Function getSymbols returns empty dates when using Google as source, not using Yahoo.
Google data seems fine, checking http://www.google.com/finance/historical?cid=700196&startdate=Sep+30%2C+2010&enddate=Nov+1%2C+2010&num=30&ei=6sqlUoieA5SLsgfq5gE&output=csv
Reproducable with followong code:
library(quantmod)
Sys.setenv(TZ="UTC")
DataG <- getSymbols('XLF',src="google",auto.assign=FALSE, from = '2010-09-30', to = '2010-11-01')
DataG
DataY <- getSymbols('XLF',src="yahoo",auto.assign=FALSE, from = '2010-09-30', to = '2010-11-01')
DataY
Retested in version 0.4.1, still NA's in date!
DataG <- getSymbols('XLF',src="google",auto.assign=FALSE, from = '2010-09-30', to = '2010-11-01')
DataG
XLF.Open XLF.High XLF.Low XLF.Close XLF.Volume
2010-09-30 14.46 14.63 14.34 14.34 107539828
<NA> 14.49 14.55 14.34 14.50 132131830
<NA> 14.48 14.59 14.33 14.40 85547602
<NA> 14.53 14.78 14.42 14.73 133006599
<NA> 14.76 14.80 14.67 14.72 64754368
<NA> 14.79 14.84 14.58 14.66 71795649
<NA> 14.68 14.73 14.62 14.70 62422677
<NA> 14.71 14.73 14.62 14.68 41265794
<NA> 14.60 14.87 14.57 14.84 65831033
<NA> 14.94 15.00 14.82 14.86 112666954
<NA> 14.72 14.75 14.46 14.60 169232668
<NA> 14.64 14.72 14.25 14.34 132860239
<NA> 14.30 14.69 14.30 14.67 78307701
<NA> 14.56 14.77 14.41 14.47 146739470
<NA> 14.48 14.69 14.35 14.61 96600861
<NA> 14.67 14.78 14.49 14.61 73596983
<NA> 14.64 14.69 14.56 14.60 41264255
<NA> 14.73 14.75 14.53 14.55 45766940
<NA> 14.49 14.60 14.46 14.57 47408863
<NA> 14.52 14.63 14.47 14.58 62701109
<NA> 14.66 14.70 14.49 14.58 57911184
<NA> 14.54 14.59 14.48 14.56 39827062
2010-11-01 14.59 14.69 14.42 14.56 65746592
DataY <- getSymbols('XLF',src="yahoo",auto.assign=FALSE, from = '2010-09-30', to = '2010-11-01')
DataY
XLF.Open XLF.High XLF.Low XLF.Close XLF.Volume XLF.Adjusted
2010-09-30 14.46 14.63 14.34 14.35 107532900 13.65
2010-10-01 14.49 14.55 14.34 14.50 132129000 13.80
2010-10-04 14.48 14.59 14.33 14.40 85547600 13.70
2010-10-05 14.53 14.79 14.42 14.73 133006600 14.01
2010-10-06 14.76 14.80 14.67 14.72 64754400 14.01
2010-10-07 14.79 14.84 14.58 14.66 71794600 13.95
2010-10-08 14.68 14.73 14.62 14.70 62412700 13.99
2010-10-11 14.71 14.73 14.62 14.68 41265800 13.97
2010-10-12 14.60 14.87 14.57 14.85 65831100 14.13
2010-10-13 14.94 15.00 14.82 14.86 112667000 14.14
2010-10-14 14.72 14.75 14.46 14.60 169232700 13.89
2010-10-15 14.65 14.72 14.25 14.35 132854700 13.65
2010-10-18 14.30 14.69 14.30 14.67 78305300 13.96
2010-10-19 14.56 14.77 14.41 14.47 146739500 13.77
2010-10-20 14.48 14.69 14.35 14.61 96600900 13.90
2010-10-21 14.67 14.78 14.49 14.61 73588900 13.90
2010-10-22 14.64 14.69 14.56 14.60 41264300 13.89
2010-10-25 14.73 14.75 14.53 14.55 45766800 13.84
2010-10-26 14.49 14.60 14.46 14.57 47400100 13.86
2010-10-27 14.52 14.63 14.47 14.58 62701200 13.87
2010-10-28 14.66 14.70 14.49 14.58 57907600 13.87
2010-10-29 14.54 14.59 14.48 14.56 39826600 13.85
2010-11-01 14.59 14.69 14.42 14.56 65743100 13.85
installed.packages()["quantmod", "Version"]
[1] "0.4-1"
There is a problem with localization and date format. This works for me.
invisible(Sys.setlocale("LC_MESSAGES", "C"))
invisible(Sys.setlocale("LC_TIME", "C"))
Now try getSymbols with google as data source.
Had anyone else had this problem, or even better, does anyone know why this is giving me an error?
I'm attempting to create an ARMA model of order 3, 3. I'm using the TSA package.
stocks_arma <- arma(stocks$close, order = c(3,3))
I'm getting this warning:
Warning message:
In arma(VIXts, order = c(3, 3)) : Hessian negative-semidefinite
I understand that a Hessian negative-semidefinite matrix is a bad thing because we usually want global mins/maxes. However, I don't understand why this is happening. I am unsure is this is a mathematical issue or a syntactial issue.
My data is a very modest vector of 1000 entries. Here is one-tenth of it:
15.14 15.31 15.08 15.24 16.41 17.99 17.92 16.65 16.68 18.61 18.49 19.08 17.58 18.42 17.59 16.69 18.60 17.81 18.12 18.33 18.83 16.62 16.97 15.03 15.07 15.22 15.27 16.14 15.59 16.29 16.37 15.11 14.33 14.55 15.43 15.71 16.32 15.73 14.84 16.81 15.43 14.15 13.98 14.07 13.88 14.18 14.59 14.51 14.05 15.80 16.41 16.28 14.38 15.63 17.74 17.98 17.47 17.83 17.06 16.49 16.35 15.18 15.96 15.11 15.02 14.02 13.45 14.29 14.63 14.85 13.70 14.74 15.28 15.32 15.99 15.95 15.64 17.57 18.96 18.93 18.03 16.70 17.53 19.34 20.47 18.62 16.27 15.45 16.16 16.48 17.11 16.74 18.36 17.95 18.72 18.05 17.10 17.50 16.66 16.80 17.08 19.71 19.45 19.72 20.38
There is nothing overtly fishy about the values at all.
Any insight is very much appreciated.