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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 10 Mar 2010 07:10:47 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Mar/10/t1268230383zxrlpkkxgiexot1.htm/, Retrieved Wed, 27 Sep 2023 08:23:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74277, Retrieved Wed, 27 Sep 2023 08:23:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact152

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [opgave 4 oefenin 2] [2010-03-10 14:10:47] [701fd7cac8325e39d69fe7641072905f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
464
675
703
887
1139
1077
1318
1260
1120
963
996
960
530
883
894
1045
1199
1287
1565
1577
1076
918
1008
1063
544
635
804
980
1018
1064
1404
1286
1104
999
996
1015
615
722
832
977
1270
1437
1520
1708
1151
934
1159
1209
699
830
996
1124
1458
1270
1753
2258
1208
1241
1265
1828
809
997
1164
1205
1538
1513
1378
2083
1357
1536
1526
1376
779
1005
1193
1522
1539
1546
2116
2326
1596
1356
1553
1613
814
1150
1225
1691
1759
1754
2100
2062
2012
1897
1964
2186
966
1549
1538
1612
2078
2137
2907
2249
1883
1739
1828
1868
1138
1430
1809
1763
2200
2067
2503
2141
2103
1972
2181
2344
970
1199
1718
1683
2025
2051
2439
2353
2230
1852
2147
2286
1007
1665
1642
1518
1831
2207
2822
2393
2306
1785
2047
2171
1212
1335
2011
1860
1954
2152
2835
2224
2182
1992
2389
2724
891
1247
2017
2257
2255
2255
3057
3330
1896
2096
2374
2535
1041
1728
2201
2455
2204
2660
3670
2665
2639
2226
2586
2684
1185
1749
2459
2618
2585
3310
3923

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74277&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74277&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74277&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01531.03988135945751.3113410850807
0.02603.46472856751959.8086444993104
0.03662.91062055173857.6071937508261
0.04711.71679276513757.7629145172773
0.05754.20626533598758.0048175794344
0.06791.78350988958754.8037418303571
0.07824.56438483784651.6129772088462
0.08853.66248938854550.4119917594521
0.09880.30245757641549.5572927082008
0.1904.8225994869247.4139470029608
0.11926.87559331279143.490003344135
0.12946.00335532928138.1464772330905
0.13962.0361454766532.4108193946627
0.14975.26389626007527.5769955038981
0.15986.40657414022724.7127816042435
0.16996.45042397665524.4435983739708
0.171006.4422650529026.828548719503
0.181017.2948512363431.3031047457893
0.191029.6277441565436.8745281948542
0.21043.6756957144542.4330010699214
0.211059.2929406888847.0220210038503
0.221076.0482757931950.0515553368333
0.231093.3708812407851.3445288339262
0.241110.6965828253251.0861304798798
0.251127.5774359820349.7218901322256
0.261143.7397201395647.8054625694612
0.271159.0953863657645.8743987434837
0.281173.7236392472644.3950067525597
0.291187.8400344396143.7588614330315
0.31201.7629096742444.2704664734581
0.311215.8787411793346.122907009252
0.321230.6052299201049.383633561161
0.331246.3527163234353.965077795069
0.341263.4857272239059.6627128855059
0.351282.2846629070266.1390428384491
0.361302.9057702882972.912874349562
0.371325.3398103926079.3537727309125
0.381349.3767238038084.7047920803562
0.391374.5913066674688.2233007150852
0.41400.3680349010689.2935747652467
0.411425.9775523574187.6682767575948
0.421450.7019721304783.5902229957333
0.431473.9848922408877.8541608677025
0.441495.5639321607371.69638571045
0.451515.5394344521566.5073108576373
0.461534.3486435947963.4571621260023
0.471552.6460595264463.1133985961228
0.481571.1246966857965.2327680912783
0.491590.3346441815668.9069500577389
0.51610.5556097579972.9141673052734
0.511631.7598099992876.1530673830742
0.521653.6695481150777.907615767874
0.531675.8824588606378.0289055595163
0.541698.0177322319276.882783338565
0.551719.8348619859375.1750868518775
0.561741.2919777050173.6929533377781
0.571762.5361215435273.0564873399665
0.581783.8414324442673.5544452265276
0.591805.5231896973375.1506737939441
0.61827.8533303064177.5345754742373
0.611850.9923658917780.2166771360567
0.621874.9435045199382.595129892445
0.631899.5330567002984.0462843997865
0.641924.4239208794584.0519251934178
0.651949.1676459709682.3404479613408
0.661973.2900393615378.9905772497571
0.671996.38963851774.4280676138978
0.682018.2183540619969.3081475951868
0.692038.7174812735664.32054424134
0.72057.9988701842259.9828173178927
0.712076.2812025780256.5323417762469
0.722093.8055732526053.9026307031291
0.732110.7589838051951.7958294169927
0.742127.2300802112249.8161707030981
0.752143.2107818088247.6690246885674
0.762158.6422109836145.2657466272315
0.772173.4873571907542.7726346289839
0.782187.8037404424640.5603492884045
0.792201.7939701507639.1029897179626
0.82215.8279016578638.8396435601988
0.812230.4415483464640.1603995230583
0.822246.310330109243.3169101115606
0.832264.1777089145548.2803027458457
0.842284.7312103720354.5751510931285
0.852308.4742183024961.3762338490226
0.862335.6917875455967.972242883089
0.872366.5592442375974.2131051514842
0.882401.2808847735780.3335238071447
0.892440.0205298734586.1349995416592
0.92482.5118813335890.1926295926768
0.912527.6731081801990.3997497313461
0.922574.0036265395386.2826132354954
0.932621.3918730703481.8718108234263
0.942673.8234128866985.8367060599676
0.952741.54782676065106.135694662556
0.962842.55271480167147.155644019342
0.973001.37283436207205.268321537731
0.983241.27849734555247.536889481061
0.993591.0928444164272.716519553588

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 531.039881359457 & 51.3113410850807 \tabularnewline
0.02 & 603.464728567519 & 59.8086444993104 \tabularnewline
0.03 & 662.910620551738 & 57.6071937508261 \tabularnewline
0.04 & 711.716792765137 & 57.7629145172773 \tabularnewline
0.05 & 754.206265335987 & 58.0048175794344 \tabularnewline
0.06 & 791.783509889587 & 54.8037418303571 \tabularnewline
0.07 & 824.564384837846 & 51.6129772088462 \tabularnewline
0.08 & 853.662489388545 & 50.4119917594521 \tabularnewline
0.09 & 880.302457576415 & 49.5572927082008 \tabularnewline
0.1 & 904.82259948692 & 47.4139470029608 \tabularnewline
0.11 & 926.875593312791 & 43.490003344135 \tabularnewline
0.12 & 946.003355329281 & 38.1464772330905 \tabularnewline
0.13 & 962.03614547665 & 32.4108193946627 \tabularnewline
0.14 & 975.263896260075 & 27.5769955038981 \tabularnewline
0.15 & 986.406574140227 & 24.7127816042435 \tabularnewline
0.16 & 996.450423976655 & 24.4435983739708 \tabularnewline
0.17 & 1006.44226505290 & 26.828548719503 \tabularnewline
0.18 & 1017.29485123634 & 31.3031047457893 \tabularnewline
0.19 & 1029.62774415654 & 36.8745281948542 \tabularnewline
0.2 & 1043.67569571445 & 42.4330010699214 \tabularnewline
0.21 & 1059.29294068888 & 47.0220210038503 \tabularnewline
0.22 & 1076.04827579319 & 50.0515553368333 \tabularnewline
0.23 & 1093.37088124078 & 51.3445288339262 \tabularnewline
0.24 & 1110.69658282532 & 51.0861304798798 \tabularnewline
0.25 & 1127.57743598203 & 49.7218901322256 \tabularnewline
0.26 & 1143.73972013956 & 47.8054625694612 \tabularnewline
0.27 & 1159.09538636576 & 45.8743987434837 \tabularnewline
0.28 & 1173.72363924726 & 44.3950067525597 \tabularnewline
0.29 & 1187.84003443961 & 43.7588614330315 \tabularnewline
0.3 & 1201.76290967424 & 44.2704664734581 \tabularnewline
0.31 & 1215.87874117933 & 46.122907009252 \tabularnewline
0.32 & 1230.60522992010 & 49.383633561161 \tabularnewline
0.33 & 1246.35271632343 & 53.965077795069 \tabularnewline
0.34 & 1263.48572722390 & 59.6627128855059 \tabularnewline
0.35 & 1282.28466290702 & 66.1390428384491 \tabularnewline
0.36 & 1302.90577028829 & 72.912874349562 \tabularnewline
0.37 & 1325.33981039260 & 79.3537727309125 \tabularnewline
0.38 & 1349.37672380380 & 84.7047920803562 \tabularnewline
0.39 & 1374.59130666746 & 88.2233007150852 \tabularnewline
0.4 & 1400.36803490106 & 89.2935747652467 \tabularnewline
0.41 & 1425.97755235741 & 87.6682767575948 \tabularnewline
0.42 & 1450.70197213047 & 83.5902229957333 \tabularnewline
0.43 & 1473.98489224088 & 77.8541608677025 \tabularnewline
0.44 & 1495.56393216073 & 71.69638571045 \tabularnewline
0.45 & 1515.53943445215 & 66.5073108576373 \tabularnewline
0.46 & 1534.34864359479 & 63.4571621260023 \tabularnewline
0.47 & 1552.64605952644 & 63.1133985961228 \tabularnewline
0.48 & 1571.12469668579 & 65.2327680912783 \tabularnewline
0.49 & 1590.33464418156 & 68.9069500577389 \tabularnewline
0.5 & 1610.55560975799 & 72.9141673052734 \tabularnewline
0.51 & 1631.75980999928 & 76.1530673830742 \tabularnewline
0.52 & 1653.66954811507 & 77.907615767874 \tabularnewline
0.53 & 1675.88245886063 & 78.0289055595163 \tabularnewline
0.54 & 1698.01773223192 & 76.882783338565 \tabularnewline
0.55 & 1719.83486198593 & 75.1750868518775 \tabularnewline
0.56 & 1741.29197770501 & 73.6929533377781 \tabularnewline
0.57 & 1762.53612154352 & 73.0564873399665 \tabularnewline
0.58 & 1783.84143244426 & 73.5544452265276 \tabularnewline
0.59 & 1805.52318969733 & 75.1506737939441 \tabularnewline
0.6 & 1827.85333030641 & 77.5345754742373 \tabularnewline
0.61 & 1850.99236589177 & 80.2166771360567 \tabularnewline
0.62 & 1874.94350451993 & 82.595129892445 \tabularnewline
0.63 & 1899.53305670029 & 84.0462843997865 \tabularnewline
0.64 & 1924.42392087945 & 84.0519251934178 \tabularnewline
0.65 & 1949.16764597096 & 82.3404479613408 \tabularnewline
0.66 & 1973.29003936153 & 78.9905772497571 \tabularnewline
0.67 & 1996.389638517 & 74.4280676138978 \tabularnewline
0.68 & 2018.21835406199 & 69.3081475951868 \tabularnewline
0.69 & 2038.71748127356 & 64.32054424134 \tabularnewline
0.7 & 2057.99887018422 & 59.9828173178927 \tabularnewline
0.71 & 2076.28120257802 & 56.5323417762469 \tabularnewline
0.72 & 2093.80557325260 & 53.9026307031291 \tabularnewline
0.73 & 2110.75898380519 & 51.7958294169927 \tabularnewline
0.74 & 2127.23008021122 & 49.8161707030981 \tabularnewline
0.75 & 2143.21078180882 & 47.6690246885674 \tabularnewline
0.76 & 2158.64221098361 & 45.2657466272315 \tabularnewline
0.77 & 2173.48735719075 & 42.7726346289839 \tabularnewline
0.78 & 2187.80374044246 & 40.5603492884045 \tabularnewline
0.79 & 2201.79397015076 & 39.1029897179626 \tabularnewline
0.8 & 2215.82790165786 & 38.8396435601988 \tabularnewline
0.81 & 2230.44154834646 & 40.1603995230583 \tabularnewline
0.82 & 2246.3103301092 & 43.3169101115606 \tabularnewline
0.83 & 2264.17770891455 & 48.2803027458457 \tabularnewline
0.84 & 2284.73121037203 & 54.5751510931285 \tabularnewline
0.85 & 2308.47421830249 & 61.3762338490226 \tabularnewline
0.86 & 2335.69178754559 & 67.972242883089 \tabularnewline
0.87 & 2366.55924423759 & 74.2131051514842 \tabularnewline
0.88 & 2401.28088477357 & 80.3335238071447 \tabularnewline
0.89 & 2440.02052987345 & 86.1349995416592 \tabularnewline
0.9 & 2482.51188133358 & 90.1926295926768 \tabularnewline
0.91 & 2527.67310818019 & 90.3997497313461 \tabularnewline
0.92 & 2574.00362653953 & 86.2826132354954 \tabularnewline
0.93 & 2621.39187307034 & 81.8718108234263 \tabularnewline
0.94 & 2673.82341288669 & 85.8367060599676 \tabularnewline
0.95 & 2741.54782676065 & 106.135694662556 \tabularnewline
0.96 & 2842.55271480167 & 147.155644019342 \tabularnewline
0.97 & 3001.37283436207 & 205.268321537731 \tabularnewline
0.98 & 3241.27849734555 & 247.536889481061 \tabularnewline
0.99 & 3591.0928444164 & 272.716519553588 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74277&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]531.039881359457[/C][C]51.3113410850807[/C][/ROW]
[ROW][C]0.02[/C][C]603.464728567519[/C][C]59.8086444993104[/C][/ROW]
[ROW][C]0.03[/C][C]662.910620551738[/C][C]57.6071937508261[/C][/ROW]
[ROW][C]0.04[/C][C]711.716792765137[/C][C]57.7629145172773[/C][/ROW]
[ROW][C]0.05[/C][C]754.206265335987[/C][C]58.0048175794344[/C][/ROW]
[ROW][C]0.06[/C][C]791.783509889587[/C][C]54.8037418303571[/C][/ROW]
[ROW][C]0.07[/C][C]824.564384837846[/C][C]51.6129772088462[/C][/ROW]
[ROW][C]0.08[/C][C]853.662489388545[/C][C]50.4119917594521[/C][/ROW]
[ROW][C]0.09[/C][C]880.302457576415[/C][C]49.5572927082008[/C][/ROW]
[ROW][C]0.1[/C][C]904.82259948692[/C][C]47.4139470029608[/C][/ROW]
[ROW][C]0.11[/C][C]926.875593312791[/C][C]43.490003344135[/C][/ROW]
[ROW][C]0.12[/C][C]946.003355329281[/C][C]38.1464772330905[/C][/ROW]
[ROW][C]0.13[/C][C]962.03614547665[/C][C]32.4108193946627[/C][/ROW]
[ROW][C]0.14[/C][C]975.263896260075[/C][C]27.5769955038981[/C][/ROW]
[ROW][C]0.15[/C][C]986.406574140227[/C][C]24.7127816042435[/C][/ROW]
[ROW][C]0.16[/C][C]996.450423976655[/C][C]24.4435983739708[/C][/ROW]
[ROW][C]0.17[/C][C]1006.44226505290[/C][C]26.828548719503[/C][/ROW]
[ROW][C]0.18[/C][C]1017.29485123634[/C][C]31.3031047457893[/C][/ROW]
[ROW][C]0.19[/C][C]1029.62774415654[/C][C]36.8745281948542[/C][/ROW]
[ROW][C]0.2[/C][C]1043.67569571445[/C][C]42.4330010699214[/C][/ROW]
[ROW][C]0.21[/C][C]1059.29294068888[/C][C]47.0220210038503[/C][/ROW]
[ROW][C]0.22[/C][C]1076.04827579319[/C][C]50.0515553368333[/C][/ROW]
[ROW][C]0.23[/C][C]1093.37088124078[/C][C]51.3445288339262[/C][/ROW]
[ROW][C]0.24[/C][C]1110.69658282532[/C][C]51.0861304798798[/C][/ROW]
[ROW][C]0.25[/C][C]1127.57743598203[/C][C]49.7218901322256[/C][/ROW]
[ROW][C]0.26[/C][C]1143.73972013956[/C][C]47.8054625694612[/C][/ROW]
[ROW][C]0.27[/C][C]1159.09538636576[/C][C]45.8743987434837[/C][/ROW]
[ROW][C]0.28[/C][C]1173.72363924726[/C][C]44.3950067525597[/C][/ROW]
[ROW][C]0.29[/C][C]1187.84003443961[/C][C]43.7588614330315[/C][/ROW]
[ROW][C]0.3[/C][C]1201.76290967424[/C][C]44.2704664734581[/C][/ROW]
[ROW][C]0.31[/C][C]1215.87874117933[/C][C]46.122907009252[/C][/ROW]
[ROW][C]0.32[/C][C]1230.60522992010[/C][C]49.383633561161[/C][/ROW]
[ROW][C]0.33[/C][C]1246.35271632343[/C][C]53.965077795069[/C][/ROW]
[ROW][C]0.34[/C][C]1263.48572722390[/C][C]59.6627128855059[/C][/ROW]
[ROW][C]0.35[/C][C]1282.28466290702[/C][C]66.1390428384491[/C][/ROW]
[ROW][C]0.36[/C][C]1302.90577028829[/C][C]72.912874349562[/C][/ROW]
[ROW][C]0.37[/C][C]1325.33981039260[/C][C]79.3537727309125[/C][/ROW]
[ROW][C]0.38[/C][C]1349.37672380380[/C][C]84.7047920803562[/C][/ROW]
[ROW][C]0.39[/C][C]1374.59130666746[/C][C]88.2233007150852[/C][/ROW]
[ROW][C]0.4[/C][C]1400.36803490106[/C][C]89.2935747652467[/C][/ROW]
[ROW][C]0.41[/C][C]1425.97755235741[/C][C]87.6682767575948[/C][/ROW]
[ROW][C]0.42[/C][C]1450.70197213047[/C][C]83.5902229957333[/C][/ROW]
[ROW][C]0.43[/C][C]1473.98489224088[/C][C]77.8541608677025[/C][/ROW]
[ROW][C]0.44[/C][C]1495.56393216073[/C][C]71.69638571045[/C][/ROW]
[ROW][C]0.45[/C][C]1515.53943445215[/C][C]66.5073108576373[/C][/ROW]
[ROW][C]0.46[/C][C]1534.34864359479[/C][C]63.4571621260023[/C][/ROW]
[ROW][C]0.47[/C][C]1552.64605952644[/C][C]63.1133985961228[/C][/ROW]
[ROW][C]0.48[/C][C]1571.12469668579[/C][C]65.2327680912783[/C][/ROW]
[ROW][C]0.49[/C][C]1590.33464418156[/C][C]68.9069500577389[/C][/ROW]
[ROW][C]0.5[/C][C]1610.55560975799[/C][C]72.9141673052734[/C][/ROW]
[ROW][C]0.51[/C][C]1631.75980999928[/C][C]76.1530673830742[/C][/ROW]
[ROW][C]0.52[/C][C]1653.66954811507[/C][C]77.907615767874[/C][/ROW]
[ROW][C]0.53[/C][C]1675.88245886063[/C][C]78.0289055595163[/C][/ROW]
[ROW][C]0.54[/C][C]1698.01773223192[/C][C]76.882783338565[/C][/ROW]
[ROW][C]0.55[/C][C]1719.83486198593[/C][C]75.1750868518775[/C][/ROW]
[ROW][C]0.56[/C][C]1741.29197770501[/C][C]73.6929533377781[/C][/ROW]
[ROW][C]0.57[/C][C]1762.53612154352[/C][C]73.0564873399665[/C][/ROW]
[ROW][C]0.58[/C][C]1783.84143244426[/C][C]73.5544452265276[/C][/ROW]
[ROW][C]0.59[/C][C]1805.52318969733[/C][C]75.1506737939441[/C][/ROW]
[ROW][C]0.6[/C][C]1827.85333030641[/C][C]77.5345754742373[/C][/ROW]
[ROW][C]0.61[/C][C]1850.99236589177[/C][C]80.2166771360567[/C][/ROW]
[ROW][C]0.62[/C][C]1874.94350451993[/C][C]82.595129892445[/C][/ROW]
[ROW][C]0.63[/C][C]1899.53305670029[/C][C]84.0462843997865[/C][/ROW]
[ROW][C]0.64[/C][C]1924.42392087945[/C][C]84.0519251934178[/C][/ROW]
[ROW][C]0.65[/C][C]1949.16764597096[/C][C]82.3404479613408[/C][/ROW]
[ROW][C]0.66[/C][C]1973.29003936153[/C][C]78.9905772497571[/C][/ROW]
[ROW][C]0.67[/C][C]1996.389638517[/C][C]74.4280676138978[/C][/ROW]
[ROW][C]0.68[/C][C]2018.21835406199[/C][C]69.3081475951868[/C][/ROW]
[ROW][C]0.69[/C][C]2038.71748127356[/C][C]64.32054424134[/C][/ROW]
[ROW][C]0.7[/C][C]2057.99887018422[/C][C]59.9828173178927[/C][/ROW]
[ROW][C]0.71[/C][C]2076.28120257802[/C][C]56.5323417762469[/C][/ROW]
[ROW][C]0.72[/C][C]2093.80557325260[/C][C]53.9026307031291[/C][/ROW]
[ROW][C]0.73[/C][C]2110.75898380519[/C][C]51.7958294169927[/C][/ROW]
[ROW][C]0.74[/C][C]2127.23008021122[/C][C]49.8161707030981[/C][/ROW]
[ROW][C]0.75[/C][C]2143.21078180882[/C][C]47.6690246885674[/C][/ROW]
[ROW][C]0.76[/C][C]2158.64221098361[/C][C]45.2657466272315[/C][/ROW]
[ROW][C]0.77[/C][C]2173.48735719075[/C][C]42.7726346289839[/C][/ROW]
[ROW][C]0.78[/C][C]2187.80374044246[/C][C]40.5603492884045[/C][/ROW]
[ROW][C]0.79[/C][C]2201.79397015076[/C][C]39.1029897179626[/C][/ROW]
[ROW][C]0.8[/C][C]2215.82790165786[/C][C]38.8396435601988[/C][/ROW]
[ROW][C]0.81[/C][C]2230.44154834646[/C][C]40.1603995230583[/C][/ROW]
[ROW][C]0.82[/C][C]2246.3103301092[/C][C]43.3169101115606[/C][/ROW]
[ROW][C]0.83[/C][C]2264.17770891455[/C][C]48.2803027458457[/C][/ROW]
[ROW][C]0.84[/C][C]2284.73121037203[/C][C]54.5751510931285[/C][/ROW]
[ROW][C]0.85[/C][C]2308.47421830249[/C][C]61.3762338490226[/C][/ROW]
[ROW][C]0.86[/C][C]2335.69178754559[/C][C]67.972242883089[/C][/ROW]
[ROW][C]0.87[/C][C]2366.55924423759[/C][C]74.2131051514842[/C][/ROW]
[ROW][C]0.88[/C][C]2401.28088477357[/C][C]80.3335238071447[/C][/ROW]
[ROW][C]0.89[/C][C]2440.02052987345[/C][C]86.1349995416592[/C][/ROW]
[ROW][C]0.9[/C][C]2482.51188133358[/C][C]90.1926295926768[/C][/ROW]
[ROW][C]0.91[/C][C]2527.67310818019[/C][C]90.3997497313461[/C][/ROW]
[ROW][C]0.92[/C][C]2574.00362653953[/C][C]86.2826132354954[/C][/ROW]
[ROW][C]0.93[/C][C]2621.39187307034[/C][C]81.8718108234263[/C][/ROW]
[ROW][C]0.94[/C][C]2673.82341288669[/C][C]85.8367060599676[/C][/ROW]
[ROW][C]0.95[/C][C]2741.54782676065[/C][C]106.135694662556[/C][/ROW]
[ROW][C]0.96[/C][C]2842.55271480167[/C][C]147.155644019342[/C][/ROW]
[ROW][C]0.97[/C][C]3001.37283436207[/C][C]205.268321537731[/C][/ROW]
[ROW][C]0.98[/C][C]3241.27849734555[/C][C]247.536889481061[/C][/ROW]
[ROW][C]0.99[/C][C]3591.0928444164[/C][C]272.716519553588[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74277&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74277&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.01531.03988135945751.3113410850807
0.02603.46472856751959.8086444993104
0.03662.91062055173857.6071937508261
0.04711.71679276513757.7629145172773
0.05754.20626533598758.0048175794344
0.06791.78350988958754.8037418303571
0.07824.56438483784651.6129772088462
0.08853.66248938854550.4119917594521
0.09880.30245757641549.5572927082008
0.1904.8225994869247.4139470029608
0.11926.87559331279143.490003344135
0.12946.00335532928138.1464772330905
0.13962.0361454766532.4108193946627
0.14975.26389626007527.5769955038981
0.15986.40657414022724.7127816042435
0.16996.45042397665524.4435983739708
0.171006.4422650529026.828548719503
0.181017.2948512363431.3031047457893
0.191029.6277441565436.8745281948542
0.21043.6756957144542.4330010699214
0.211059.2929406888847.0220210038503
0.221076.0482757931950.0515553368333
0.231093.3708812407851.3445288339262
0.241110.6965828253251.0861304798798
0.251127.5774359820349.7218901322256
0.261143.7397201395647.8054625694612
0.271159.0953863657645.8743987434837
0.281173.7236392472644.3950067525597
0.291187.8400344396143.7588614330315
0.31201.7629096742444.2704664734581
0.311215.8787411793346.122907009252
0.321230.6052299201049.383633561161
0.331246.3527163234353.965077795069
0.341263.4857272239059.6627128855059
0.351282.2846629070266.1390428384491
0.361302.9057702882972.912874349562
0.371325.3398103926079.3537727309125
0.381349.3767238038084.7047920803562
0.391374.5913066674688.2233007150852
0.41400.3680349010689.2935747652467
0.411425.9775523574187.6682767575948
0.421450.7019721304783.5902229957333
0.431473.9848922408877.8541608677025
0.441495.5639321607371.69638571045
0.451515.5394344521566.5073108576373
0.461534.3486435947963.4571621260023
0.471552.6460595264463.1133985961228
0.481571.1246966857965.2327680912783
0.491590.3346441815668.9069500577389
0.51610.5556097579972.9141673052734
0.511631.7598099992876.1530673830742
0.521653.6695481150777.907615767874
0.531675.8824588606378.0289055595163
0.541698.0177322319276.882783338565
0.551719.8348619859375.1750868518775
0.561741.2919777050173.6929533377781
0.571762.5361215435273.0564873399665
0.581783.8414324442673.5544452265276
0.591805.5231896973375.1506737939441
0.61827.8533303064177.5345754742373
0.611850.9923658917780.2166771360567
0.621874.9435045199382.595129892445
0.631899.5330567002984.0462843997865
0.641924.4239208794584.0519251934178
0.651949.1676459709682.3404479613408
0.661973.2900393615378.9905772497571
0.671996.38963851774.4280676138978
0.682018.2183540619969.3081475951868
0.692038.7174812735664.32054424134
0.72057.9988701842259.9828173178927
0.712076.2812025780256.5323417762469
0.722093.8055732526053.9026307031291
0.732110.7589838051951.7958294169927
0.742127.2300802112249.8161707030981
0.752143.2107818088247.6690246885674
0.762158.6422109836145.2657466272315
0.772173.4873571907542.7726346289839
0.782187.8037404424640.5603492884045
0.792201.7939701507639.1029897179626
0.82215.8279016578638.8396435601988
0.812230.4415483464640.1603995230583
0.822246.310330109243.3169101115606
0.832264.1777089145548.2803027458457
0.842284.7312103720354.5751510931285
0.852308.4742183024961.3762338490226
0.862335.6917875455967.972242883089
0.872366.5592442375974.2131051514842
0.882401.2808847735780.3335238071447
0.892440.0205298734586.1349995416592
0.92482.5118813335890.1926295926768
0.912527.6731081801990.3997497313461
0.922574.0036265395386.2826132354954
0.932621.3918730703481.8718108234263
0.942673.8234128866985.8367060599676
0.952741.54782676065106.135694662556
0.962842.55271480167147.155644019342
0.973001.37283436207205.268321537731
0.983241.27849734555247.536889481061
0.993591.0928444164272.716519553588


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')