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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 computationMon, 28 Mar 2011 14:18:38 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Mar/28/t13013220835344j1qmg7bx6jx.htm/, Retrieved Fri, 01 Nov 2024 00:06:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=119782, Retrieved Fri, 01 Nov 2024 00:06:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact235

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] [Alexander De Raey...] [2011-03-28 14:18:38] [67591050a6cb6cfbed77a59a4d2c72eb] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2435
1379
1511
2021
1614
1680
1630
870
1877
2428
1711
127
3192
1934
2075
1700
1198
1582
1705
911
1817
1168
920
84
2254
1485
1886
1358
1167
1781
1218
779
1418
1641
1196
132
2926
1777
2094
1648
1646
1537
1917
977
1475
2124
1209
135
2917
1981
1398
1171
903
1390
1280
781
1828
1631
1063
186
2275
1342
1070
950
1121
1305
1586
548
1225
1419
880
124
2044
1143
897
1264
1326
1529
1373
587
1137
1426
1016
176
2614

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ www.wessa.org

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ www.wessa.org \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=119782&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ www.wessa.org[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=119782&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=119782&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 time1 seconds
R Server'Gwilym Jenkins' @ www.wessa.org






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0197.081763614630229.3068315689719
0.02114.31041782950821.7543907937685
0.03131.72511088158632.5795295234754
0.04153.71304055820563.5193019884044
0.05186.841514924497109.084692758121
0.06235.373611173666160.937242764593
0.07299.696845884276207.976283170907
0.08376.465649874422240.272325362983
0.09459.847531923452252.628251667365
0.1543.313448412625245.592094412968
0.11621.276418055778223.991173178971
0.12690.06982648997194.396194368679
0.13748.154053138708162.938491039453
0.14795.759436044943134.157750628166
0.15834.280517211715110.783715294261
0.16865.67391194290894.0155966790647
0.17891.98979289203583.872800504478
0.18915.06664926797379.4385089749947
0.19936.36704643270279.1677973927888
0.2956.91811728604781.3029554789697
0.21977.32431845973884.2645931071315
0.22997.82730724384786.8375525506272
0.231018.393100083388.2192044248175
0.241038.8098841163488.0019372728325
0.251058.7825433064786.1318969852454
0.261078.0132272623982.8265830596978
0.271096.2612516352678.5030981882432
0.281113.379741335873.6762899354276
0.291129.3300262758868.8803898819203
0.31144.1773816060864.6004264012855
0.311158.0731007606161.221052358421
0.321171.2282209811658.9860898153158
0.331183.8837865830357.9844209639244
0.341196.281684108158.1446760711926
0.351208.6391101759559.2680902720871
0.361221.1288173798861.0630085476483
0.371233.8664823933863.1968373544244
0.381246.9058206838965.337033623809
0.391260.2413709504767.1923636798005
0.41273.8181550400468.544268118452
0.411287.5467136755869.2668684585149
0.421301.321413971369.3386427623625
0.431315.0395389689468.8312134945127
0.441328.618601795267.9115850073946
0.451342.0096195670766.7986062265285
0.461355.204702050165.7459470955709
0.471368.2381574960164.9928224185893
0.481381.1812523438364.72816820833
0.491394.1316334902165.073951021536
0.51407.1991029778166.048782376116
0.511420.4898369017467.5757981514171
0.521434.0912256108469.4966987424578
0.531448.0592964849371.5944743497955
0.541462.4102267125273.6257237813611
0.551477.1168576749375.3496353703775
0.561492.1104914918676.5621210011385
0.571507.2876750696377.0997851970544
0.581522.5212114427876.8749303779795
0.591537.6742915564375.8745063652148
0.61552.6163885984674.1682651289256
0.611567.2393731716471.9022037182451
0.621581.4721873457769.2947049511555
0.631595.2923955231666.6197335098441
0.641608.7330768487264.1811483241213
0.651621.8839007348762.2846634414821
0.661634.8858515278461.1900479990978
0.671647.9198845698161.0827357170007
0.681661.1906773305562.0347425340362
0.691674.9074224371263.9952199990695
0.71689.2641425012666.7997321444275
0.711704.422188292170.2056566499631
0.721720.4973732512673.9250349556622
0.731737.5536091812177.66808036174
0.741755.6039815293481.1785538325891
0.751774.6190120893784.2638139587517
0.761794.5405442831786.8194146913606
0.771815.2985160013588.8318920030265
0.781836.8272712907290.3666353426869
0.791859.0785022838691.5412901421407
0.81882.0297717117292.4783072983284
0.811905.690716958593.2934110898817
0.821930.1124832212294.0823294967156
0.831955.4077049865594.980880744953
0.841981.7860483447496.2534093548655
0.852009.6025458979498.3613518792472
0.862039.40440408867101.982056898875
0.872071.95312048742107.824395492911
0.882108.20322848118116.311387201953
0.892149.24616926982127.276906667633
0.92196.27381040073140.018570068123
0.912250.64668202903153.85103609956
0.922314.09374576773168.966556213991
0.932388.85272394793186.771569675201
0.942477.27062392948208.070935647954
0.952580.50426099497228.422434078977
0.962697.18969983584235.452446710049
0.972824.48773226026218.106481493237
0.982960.67460847002193.019225114481
0.993096.85339511136212.304934476003

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 97.0817636146302 & 29.3068315689719 \tabularnewline
0.02 & 114.310417829508 & 21.7543907937685 \tabularnewline
0.03 & 131.725110881586 & 32.5795295234754 \tabularnewline
0.04 & 153.713040558205 & 63.5193019884044 \tabularnewline
0.05 & 186.841514924497 & 109.084692758121 \tabularnewline
0.06 & 235.373611173666 & 160.937242764593 \tabularnewline
0.07 & 299.696845884276 & 207.976283170907 \tabularnewline
0.08 & 376.465649874422 & 240.272325362983 \tabularnewline
0.09 & 459.847531923452 & 252.628251667365 \tabularnewline
0.1 & 543.313448412625 & 245.592094412968 \tabularnewline
0.11 & 621.276418055778 & 223.991173178971 \tabularnewline
0.12 & 690.06982648997 & 194.396194368679 \tabularnewline
0.13 & 748.154053138708 & 162.938491039453 \tabularnewline
0.14 & 795.759436044943 & 134.157750628166 \tabularnewline
0.15 & 834.280517211715 & 110.783715294261 \tabularnewline
0.16 & 865.673911942908 & 94.0155966790647 \tabularnewline
0.17 & 891.989792892035 & 83.872800504478 \tabularnewline
0.18 & 915.066649267973 & 79.4385089749947 \tabularnewline
0.19 & 936.367046432702 & 79.1677973927888 \tabularnewline
0.2 & 956.918117286047 & 81.3029554789697 \tabularnewline
0.21 & 977.324318459738 & 84.2645931071315 \tabularnewline
0.22 & 997.827307243847 & 86.8375525506272 \tabularnewline
0.23 & 1018.3931000833 & 88.2192044248175 \tabularnewline
0.24 & 1038.80988411634 & 88.0019372728325 \tabularnewline
0.25 & 1058.78254330647 & 86.1318969852454 \tabularnewline
0.26 & 1078.01322726239 & 82.8265830596978 \tabularnewline
0.27 & 1096.26125163526 & 78.5030981882432 \tabularnewline
0.28 & 1113.3797413358 & 73.6762899354276 \tabularnewline
0.29 & 1129.33002627588 & 68.8803898819203 \tabularnewline
0.3 & 1144.17738160608 & 64.6004264012855 \tabularnewline
0.31 & 1158.07310076061 & 61.221052358421 \tabularnewline
0.32 & 1171.22822098116 & 58.9860898153158 \tabularnewline
0.33 & 1183.88378658303 & 57.9844209639244 \tabularnewline
0.34 & 1196.2816841081 & 58.1446760711926 \tabularnewline
0.35 & 1208.63911017595 & 59.2680902720871 \tabularnewline
0.36 & 1221.12881737988 & 61.0630085476483 \tabularnewline
0.37 & 1233.86648239338 & 63.1968373544244 \tabularnewline
0.38 & 1246.90582068389 & 65.337033623809 \tabularnewline
0.39 & 1260.24137095047 & 67.1923636798005 \tabularnewline
0.4 & 1273.81815504004 & 68.544268118452 \tabularnewline
0.41 & 1287.54671367558 & 69.2668684585149 \tabularnewline
0.42 & 1301.3214139713 & 69.3386427623625 \tabularnewline
0.43 & 1315.03953896894 & 68.8312134945127 \tabularnewline
0.44 & 1328.6186017952 & 67.9115850073946 \tabularnewline
0.45 & 1342.00961956707 & 66.7986062265285 \tabularnewline
0.46 & 1355.2047020501 & 65.7459470955709 \tabularnewline
0.47 & 1368.23815749601 & 64.9928224185893 \tabularnewline
0.48 & 1381.18125234383 & 64.72816820833 \tabularnewline
0.49 & 1394.13163349021 & 65.073951021536 \tabularnewline
0.5 & 1407.19910297781 & 66.048782376116 \tabularnewline
0.51 & 1420.48983690174 & 67.5757981514171 \tabularnewline
0.52 & 1434.09122561084 & 69.4966987424578 \tabularnewline
0.53 & 1448.05929648493 & 71.5944743497955 \tabularnewline
0.54 & 1462.41022671252 & 73.6257237813611 \tabularnewline
0.55 & 1477.11685767493 & 75.3496353703775 \tabularnewline
0.56 & 1492.11049149186 & 76.5621210011385 \tabularnewline
0.57 & 1507.28767506963 & 77.0997851970544 \tabularnewline
0.58 & 1522.52121144278 & 76.8749303779795 \tabularnewline
0.59 & 1537.67429155643 & 75.8745063652148 \tabularnewline
0.6 & 1552.61638859846 & 74.1682651289256 \tabularnewline
0.61 & 1567.23937317164 & 71.9022037182451 \tabularnewline
0.62 & 1581.47218734577 & 69.2947049511555 \tabularnewline
0.63 & 1595.29239552316 & 66.6197335098441 \tabularnewline
0.64 & 1608.73307684872 & 64.1811483241213 \tabularnewline
0.65 & 1621.88390073487 & 62.2846634414821 \tabularnewline
0.66 & 1634.88585152784 & 61.1900479990978 \tabularnewline
0.67 & 1647.91988456981 & 61.0827357170007 \tabularnewline
0.68 & 1661.19067733055 & 62.0347425340362 \tabularnewline
0.69 & 1674.90742243712 & 63.9952199990695 \tabularnewline
0.7 & 1689.26414250126 & 66.7997321444275 \tabularnewline
0.71 & 1704.4221882921 & 70.2056566499631 \tabularnewline
0.72 & 1720.49737325126 & 73.9250349556622 \tabularnewline
0.73 & 1737.55360918121 & 77.66808036174 \tabularnewline
0.74 & 1755.60398152934 & 81.1785538325891 \tabularnewline
0.75 & 1774.61901208937 & 84.2638139587517 \tabularnewline
0.76 & 1794.54054428317 & 86.8194146913606 \tabularnewline
0.77 & 1815.29851600135 & 88.8318920030265 \tabularnewline
0.78 & 1836.82727129072 & 90.3666353426869 \tabularnewline
0.79 & 1859.07850228386 & 91.5412901421407 \tabularnewline
0.8 & 1882.02977171172 & 92.4783072983284 \tabularnewline
0.81 & 1905.6907169585 & 93.2934110898817 \tabularnewline
0.82 & 1930.11248322122 & 94.0823294967156 \tabularnewline
0.83 & 1955.40770498655 & 94.980880744953 \tabularnewline
0.84 & 1981.78604834474 & 96.2534093548655 \tabularnewline
0.85 & 2009.60254589794 & 98.3613518792472 \tabularnewline
0.86 & 2039.40440408867 & 101.982056898875 \tabularnewline
0.87 & 2071.95312048742 & 107.824395492911 \tabularnewline
0.88 & 2108.20322848118 & 116.311387201953 \tabularnewline
0.89 & 2149.24616926982 & 127.276906667633 \tabularnewline
0.9 & 2196.27381040073 & 140.018570068123 \tabularnewline
0.91 & 2250.64668202903 & 153.85103609956 \tabularnewline
0.92 & 2314.09374576773 & 168.966556213991 \tabularnewline
0.93 & 2388.85272394793 & 186.771569675201 \tabularnewline
0.94 & 2477.27062392948 & 208.070935647954 \tabularnewline
0.95 & 2580.50426099497 & 228.422434078977 \tabularnewline
0.96 & 2697.18969983584 & 235.452446710049 \tabularnewline
0.97 & 2824.48773226026 & 218.106481493237 \tabularnewline
0.98 & 2960.67460847002 & 193.019225114481 \tabularnewline
0.99 & 3096.85339511136 & 212.304934476003 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=119782&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]97.0817636146302[/C][C]29.3068315689719[/C][/ROW]
[ROW][C]0.02[/C][C]114.310417829508[/C][C]21.7543907937685[/C][/ROW]
[ROW][C]0.03[/C][C]131.725110881586[/C][C]32.5795295234754[/C][/ROW]
[ROW][C]0.04[/C][C]153.713040558205[/C][C]63.5193019884044[/C][/ROW]
[ROW][C]0.05[/C][C]186.841514924497[/C][C]109.084692758121[/C][/ROW]
[ROW][C]0.06[/C][C]235.373611173666[/C][C]160.937242764593[/C][/ROW]
[ROW][C]0.07[/C][C]299.696845884276[/C][C]207.976283170907[/C][/ROW]
[ROW][C]0.08[/C][C]376.465649874422[/C][C]240.272325362983[/C][/ROW]
[ROW][C]0.09[/C][C]459.847531923452[/C][C]252.628251667365[/C][/ROW]
[ROW][C]0.1[/C][C]543.313448412625[/C][C]245.592094412968[/C][/ROW]
[ROW][C]0.11[/C][C]621.276418055778[/C][C]223.991173178971[/C][/ROW]
[ROW][C]0.12[/C][C]690.06982648997[/C][C]194.396194368679[/C][/ROW]
[ROW][C]0.13[/C][C]748.154053138708[/C][C]162.938491039453[/C][/ROW]
[ROW][C]0.14[/C][C]795.759436044943[/C][C]134.157750628166[/C][/ROW]
[ROW][C]0.15[/C][C]834.280517211715[/C][C]110.783715294261[/C][/ROW]
[ROW][C]0.16[/C][C]865.673911942908[/C][C]94.0155966790647[/C][/ROW]
[ROW][C]0.17[/C][C]891.989792892035[/C][C]83.872800504478[/C][/ROW]
[ROW][C]0.18[/C][C]915.066649267973[/C][C]79.4385089749947[/C][/ROW]
[ROW][C]0.19[/C][C]936.367046432702[/C][C]79.1677973927888[/C][/ROW]
[ROW][C]0.2[/C][C]956.918117286047[/C][C]81.3029554789697[/C][/ROW]
[ROW][C]0.21[/C][C]977.324318459738[/C][C]84.2645931071315[/C][/ROW]
[ROW][C]0.22[/C][C]997.827307243847[/C][C]86.8375525506272[/C][/ROW]
[ROW][C]0.23[/C][C]1018.3931000833[/C][C]88.2192044248175[/C][/ROW]
[ROW][C]0.24[/C][C]1038.80988411634[/C][C]88.0019372728325[/C][/ROW]
[ROW][C]0.25[/C][C]1058.78254330647[/C][C]86.1318969852454[/C][/ROW]
[ROW][C]0.26[/C][C]1078.01322726239[/C][C]82.8265830596978[/C][/ROW]
[ROW][C]0.27[/C][C]1096.26125163526[/C][C]78.5030981882432[/C][/ROW]
[ROW][C]0.28[/C][C]1113.3797413358[/C][C]73.6762899354276[/C][/ROW]
[ROW][C]0.29[/C][C]1129.33002627588[/C][C]68.8803898819203[/C][/ROW]
[ROW][C]0.3[/C][C]1144.17738160608[/C][C]64.6004264012855[/C][/ROW]
[ROW][C]0.31[/C][C]1158.07310076061[/C][C]61.221052358421[/C][/ROW]
[ROW][C]0.32[/C][C]1171.22822098116[/C][C]58.9860898153158[/C][/ROW]
[ROW][C]0.33[/C][C]1183.88378658303[/C][C]57.9844209639244[/C][/ROW]
[ROW][C]0.34[/C][C]1196.2816841081[/C][C]58.1446760711926[/C][/ROW]
[ROW][C]0.35[/C][C]1208.63911017595[/C][C]59.2680902720871[/C][/ROW]
[ROW][C]0.36[/C][C]1221.12881737988[/C][C]61.0630085476483[/C][/ROW]
[ROW][C]0.37[/C][C]1233.86648239338[/C][C]63.1968373544244[/C][/ROW]
[ROW][C]0.38[/C][C]1246.90582068389[/C][C]65.337033623809[/C][/ROW]
[ROW][C]0.39[/C][C]1260.24137095047[/C][C]67.1923636798005[/C][/ROW]
[ROW][C]0.4[/C][C]1273.81815504004[/C][C]68.544268118452[/C][/ROW]
[ROW][C]0.41[/C][C]1287.54671367558[/C][C]69.2668684585149[/C][/ROW]
[ROW][C]0.42[/C][C]1301.3214139713[/C][C]69.3386427623625[/C][/ROW]
[ROW][C]0.43[/C][C]1315.03953896894[/C][C]68.8312134945127[/C][/ROW]
[ROW][C]0.44[/C][C]1328.6186017952[/C][C]67.9115850073946[/C][/ROW]
[ROW][C]0.45[/C][C]1342.00961956707[/C][C]66.7986062265285[/C][/ROW]
[ROW][C]0.46[/C][C]1355.2047020501[/C][C]65.7459470955709[/C][/ROW]
[ROW][C]0.47[/C][C]1368.23815749601[/C][C]64.9928224185893[/C][/ROW]
[ROW][C]0.48[/C][C]1381.18125234383[/C][C]64.72816820833[/C][/ROW]
[ROW][C]0.49[/C][C]1394.13163349021[/C][C]65.073951021536[/C][/ROW]
[ROW][C]0.5[/C][C]1407.19910297781[/C][C]66.048782376116[/C][/ROW]
[ROW][C]0.51[/C][C]1420.48983690174[/C][C]67.5757981514171[/C][/ROW]
[ROW][C]0.52[/C][C]1434.09122561084[/C][C]69.4966987424578[/C][/ROW]
[ROW][C]0.53[/C][C]1448.05929648493[/C][C]71.5944743497955[/C][/ROW]
[ROW][C]0.54[/C][C]1462.41022671252[/C][C]73.6257237813611[/C][/ROW]
[ROW][C]0.55[/C][C]1477.11685767493[/C][C]75.3496353703775[/C][/ROW]
[ROW][C]0.56[/C][C]1492.11049149186[/C][C]76.5621210011385[/C][/ROW]
[ROW][C]0.57[/C][C]1507.28767506963[/C][C]77.0997851970544[/C][/ROW]
[ROW][C]0.58[/C][C]1522.52121144278[/C][C]76.8749303779795[/C][/ROW]
[ROW][C]0.59[/C][C]1537.67429155643[/C][C]75.8745063652148[/C][/ROW]
[ROW][C]0.6[/C][C]1552.61638859846[/C][C]74.1682651289256[/C][/ROW]
[ROW][C]0.61[/C][C]1567.23937317164[/C][C]71.9022037182451[/C][/ROW]
[ROW][C]0.62[/C][C]1581.47218734577[/C][C]69.2947049511555[/C][/ROW]
[ROW][C]0.63[/C][C]1595.29239552316[/C][C]66.6197335098441[/C][/ROW]
[ROW][C]0.64[/C][C]1608.73307684872[/C][C]64.1811483241213[/C][/ROW]
[ROW][C]0.65[/C][C]1621.88390073487[/C][C]62.2846634414821[/C][/ROW]
[ROW][C]0.66[/C][C]1634.88585152784[/C][C]61.1900479990978[/C][/ROW]
[ROW][C]0.67[/C][C]1647.91988456981[/C][C]61.0827357170007[/C][/ROW]
[ROW][C]0.68[/C][C]1661.19067733055[/C][C]62.0347425340362[/C][/ROW]
[ROW][C]0.69[/C][C]1674.90742243712[/C][C]63.9952199990695[/C][/ROW]
[ROW][C]0.7[/C][C]1689.26414250126[/C][C]66.7997321444275[/C][/ROW]
[ROW][C]0.71[/C][C]1704.4221882921[/C][C]70.2056566499631[/C][/ROW]
[ROW][C]0.72[/C][C]1720.49737325126[/C][C]73.9250349556622[/C][/ROW]
[ROW][C]0.73[/C][C]1737.55360918121[/C][C]77.66808036174[/C][/ROW]
[ROW][C]0.74[/C][C]1755.60398152934[/C][C]81.1785538325891[/C][/ROW]
[ROW][C]0.75[/C][C]1774.61901208937[/C][C]84.2638139587517[/C][/ROW]
[ROW][C]0.76[/C][C]1794.54054428317[/C][C]86.8194146913606[/C][/ROW]
[ROW][C]0.77[/C][C]1815.29851600135[/C][C]88.8318920030265[/C][/ROW]
[ROW][C]0.78[/C][C]1836.82727129072[/C][C]90.3666353426869[/C][/ROW]
[ROW][C]0.79[/C][C]1859.07850228386[/C][C]91.5412901421407[/C][/ROW]
[ROW][C]0.8[/C][C]1882.02977171172[/C][C]92.4783072983284[/C][/ROW]
[ROW][C]0.81[/C][C]1905.6907169585[/C][C]93.2934110898817[/C][/ROW]
[ROW][C]0.82[/C][C]1930.11248322122[/C][C]94.0823294967156[/C][/ROW]
[ROW][C]0.83[/C][C]1955.40770498655[/C][C]94.980880744953[/C][/ROW]
[ROW][C]0.84[/C][C]1981.78604834474[/C][C]96.2534093548655[/C][/ROW]
[ROW][C]0.85[/C][C]2009.60254589794[/C][C]98.3613518792472[/C][/ROW]
[ROW][C]0.86[/C][C]2039.40440408867[/C][C]101.982056898875[/C][/ROW]
[ROW][C]0.87[/C][C]2071.95312048742[/C][C]107.824395492911[/C][/ROW]
[ROW][C]0.88[/C][C]2108.20322848118[/C][C]116.311387201953[/C][/ROW]
[ROW][C]0.89[/C][C]2149.24616926982[/C][C]127.276906667633[/C][/ROW]
[ROW][C]0.9[/C][C]2196.27381040073[/C][C]140.018570068123[/C][/ROW]
[ROW][C]0.91[/C][C]2250.64668202903[/C][C]153.85103609956[/C][/ROW]
[ROW][C]0.92[/C][C]2314.09374576773[/C][C]168.966556213991[/C][/ROW]
[ROW][C]0.93[/C][C]2388.85272394793[/C][C]186.771569675201[/C][/ROW]
[ROW][C]0.94[/C][C]2477.27062392948[/C][C]208.070935647954[/C][/ROW]
[ROW][C]0.95[/C][C]2580.50426099497[/C][C]228.422434078977[/C][/ROW]
[ROW][C]0.96[/C][C]2697.18969983584[/C][C]235.452446710049[/C][/ROW]
[ROW][C]0.97[/C][C]2824.48773226026[/C][C]218.106481493237[/C][/ROW]
[ROW][C]0.98[/C][C]2960.67460847002[/C][C]193.019225114481[/C][/ROW]
[ROW][C]0.99[/C][C]3096.85339511136[/C][C]212.304934476003[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=119782&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=119782&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
0.0197.081763614630229.3068315689719
0.02114.31041782950821.7543907937685
0.03131.72511088158632.5795295234754
0.04153.71304055820563.5193019884044
0.05186.841514924497109.084692758121
0.06235.373611173666160.937242764593
0.07299.696845884276207.976283170907
0.08376.465649874422240.272325362983
0.09459.847531923452252.628251667365
0.1543.313448412625245.592094412968
0.11621.276418055778223.991173178971
0.12690.06982648997194.396194368679
0.13748.154053138708162.938491039453
0.14795.759436044943134.157750628166
0.15834.280517211715110.783715294261
0.16865.67391194290894.0155966790647
0.17891.98979289203583.872800504478
0.18915.06664926797379.4385089749947
0.19936.36704643270279.1677973927888
0.2956.91811728604781.3029554789697
0.21977.32431845973884.2645931071315
0.22997.82730724384786.8375525506272
0.231018.393100083388.2192044248175
0.241038.8098841163488.0019372728325
0.251058.7825433064786.1318969852454
0.261078.0132272623982.8265830596978
0.271096.2612516352678.5030981882432
0.281113.379741335873.6762899354276
0.291129.3300262758868.8803898819203
0.31144.1773816060864.6004264012855
0.311158.0731007606161.221052358421
0.321171.2282209811658.9860898153158
0.331183.8837865830357.9844209639244
0.341196.281684108158.1446760711926
0.351208.6391101759559.2680902720871
0.361221.1288173798861.0630085476483
0.371233.8664823933863.1968373544244
0.381246.9058206838965.337033623809
0.391260.2413709504767.1923636798005
0.41273.8181550400468.544268118452
0.411287.5467136755869.2668684585149
0.421301.321413971369.3386427623625
0.431315.0395389689468.8312134945127
0.441328.618601795267.9115850073946
0.451342.0096195670766.7986062265285
0.461355.204702050165.7459470955709
0.471368.2381574960164.9928224185893
0.481381.1812523438364.72816820833
0.491394.1316334902165.073951021536
0.51407.1991029778166.048782376116
0.511420.4898369017467.5757981514171
0.521434.0912256108469.4966987424578
0.531448.0592964849371.5944743497955
0.541462.4102267125273.6257237813611
0.551477.1168576749375.3496353703775
0.561492.1104914918676.5621210011385
0.571507.2876750696377.0997851970544
0.581522.5212114427876.8749303779795
0.591537.6742915564375.8745063652148
0.61552.6163885984674.1682651289256
0.611567.2393731716471.9022037182451
0.621581.4721873457769.2947049511555
0.631595.2923955231666.6197335098441
0.641608.7330768487264.1811483241213
0.651621.8839007348762.2846634414821
0.661634.8858515278461.1900479990978
0.671647.9198845698161.0827357170007
0.681661.1906773305562.0347425340362
0.691674.9074224371263.9952199990695
0.71689.2641425012666.7997321444275
0.711704.422188292170.2056566499631
0.721720.4973732512673.9250349556622
0.731737.5536091812177.66808036174
0.741755.6039815293481.1785538325891
0.751774.6190120893784.2638139587517
0.761794.5405442831786.8194146913606
0.771815.2985160013588.8318920030265
0.781836.8272712907290.3666353426869
0.791859.0785022838691.5412901421407
0.81882.0297717117292.4783072983284
0.811905.690716958593.2934110898817
0.821930.1124832212294.0823294967156
0.831955.4077049865594.980880744953
0.841981.7860483447496.2534093548655
0.852009.6025458979498.3613518792472
0.862039.40440408867101.982056898875
0.872071.95312048742107.824395492911
0.882108.20322848118116.311387201953
0.892149.24616926982127.276906667633
0.92196.27381040073140.018570068123
0.912250.64668202903153.85103609956
0.922314.09374576773168.966556213991
0.932388.85272394793186.771569675201
0.942477.27062392948208.070935647954
0.952580.50426099497228.422434078977
0.962697.18969983584235.452446710049
0.972824.48773226026218.106481493237
0.982960.67460847002193.019225114481
0.993096.85339511136212.304934476003


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')