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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 19 Apr 2008 09:03:08 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Apr/19/t1208617591ml5ea5jcsnjzbe0.htm/, Retrieved Thu, 31 Oct 2024 23:33:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=10284, Retrieved Thu, 31 Oct 2024 23:33:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact216
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Harrel-Davis deci...] [2008-04-19 15:03:08] [dd867cfc9ddc7089fae26da93ef9f864] [Current]
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Dataseries X:
36409
33163
34122
35225
28249
30374
26311
22069
23651
28628
23187
14727
43080
32519
39657
33614
28671
34243
27336
22916
24537
26128
22602
15744
41086
39690
43129
37863
35953
29133
24693
22205
21725
27192
21790
13253
37702
30364
32609
30212
29965
28352
25814
22414
20506
28806
22228
13971
36845
35338
35022
34777
26887
23970
22780
17351
21382
24561
17409
11514
31514
27071
29462
26105
22397
23843
21705
18089
20764
25316
17704
15548
28029
29383
36438
32034
22679
24319
18004
17537
20366
22782
19169
13807
29743
25591
29096
26482
22405
27044
17970
18730
19684
19785
18479
10698
31956
29506
34506
27165
26736
23691
18157
17328
18205
20995
17382
9367




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=10284&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=10284&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=10284&T=0

As an alternative you can also use a QR Code:  

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

Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0110144.86148115931255.49552073025
0.0211276.2093959131381.15910230307
0.0312350.64930655271425.15728083641
0.0413274.13316972581350.32253374048
0.0514059.47600098831308.40065642482
0.0614748.53477175181322.04707097914
0.0715372.15826746941314.46045261730
0.0815934.07397472651233.00644858493
0.0916422.13156803861081.01612970415
0.116826.5646758244896.931538162313
0.1117149.8276073534726.179991178838
0.1217406.1794852992601.360358599743
0.1317616.0082216295535.089946507534
0.1417800.0251050598523.586386396282
0.1517975.8311112202556.072470913283
0.1618156.8488269772621.78555329143
0.1718352.4747557076710.582721011031
0.1818568.4376882954811.589645837058
0.1918807.0013394984912.779627250813
0.219067.15423005141002.73602382808
0.2119345.04470074641071.98606950459
0.2219634.75716495581114.89862995436
0.2319929.31331170741129.54450237151
0.2420221.67346241961117.52145957944
0.2520505.53853007161082.76851591286
0.2620775.85694872661030.41559305005
0.2721029.0490933772965.97921005953
0.2821263.0261511032894.72456179313
0.2921477.0921196449821.841878844142
0.321671.794405132751.962850840623
0.3121848.755195847689.362433268645
0.3222010.4899936810637.817103451754
0.3322160.2076100988600.485062039036
0.3422301.5857050462579.375540737683
0.3522438.5228469998575.580321801009
0.3622574.8778440927588.497809764584
0.3722714.216520881616.247448763284
0.3822859.5922982238655.827193726724
0.3923013.3870682548703.75712469286
0.423177.231150184756.337615014437
0.4123352.0062522062810.293077084308
0.4223537.9172672410862.94062185118
0.4323734.6036647934912.349748200022
0.4423941.2553826878956.952925211388
0.4524156.7046131199995.547120265625
0.4624379.48192888491026.84197522079
0.4724607.8463688641049.66515019232
0.4824839.81583465671062.69480970820
0.4925073.22941217371064.98811478342
0.525305.86455418281056.38304862039
0.5125535.6124872691037.65158770272
0.5225760.69181070541010.78335000599
0.5325979.8611008159978.745946894129
0.5426192.5824953481945.36002123902
0.5526399.0921774737914.542859005715
0.5626600.3493768928889.830742471367
0.5726797.859546482873.513286136194
0.5826993.3950532789866.297396327132
0.5927188.6625393982867.016817516624
0.627384.9840197376872.86898816086
0.6127583.0630803697880.08162927185
0.6227782.8947486235884.813335460088
0.6327983.8487210125884.238158890234
0.6428184.9171574503877.070707071817
0.6528385.0806744568863.977412159116
0.6628583.7200619713847.792778737746
0.6728780.9927607396832.721551280353
0.6828978.1015979979823.942023938182
0.6929177.4025240707826.828627332901
0.729382.3209343386845.801457684562
0.7129597.0691695468883.484982198482
0.7229826.1829084195939.916955726904
0.7330073.9253667081012.10850227508
0.7430343.64472834691094.28482135251
0.7530637.20128324131178.49190966419
0.7630954.58741829791256.06068745377
0.7731293.82993533581319.04746552729
0.7831651.19229979171361.42557850718
0.7932021.61231667391379.91010479963
0.832399.26167364521373.77942646787
0.8132778.12845134071344.28408618988
0.8233152.59174142171294.32104310090
0.8333518.02356419531228.31099649873
0.8433871.45018551651152.64885462279
0.8534212.20982042091075.93802191675
0.8634542.41854248451008.18839869643
0.8734867.0323785662958.491345241753
0.8835193.4830889048932.524788644649
0.8935531.2256024641931.585365986063
0.935891.7785769777955.236289530712
0.9136289.53489093121005.98081439778
0.9236742.6234674311089.58736316030
0.9337272.25917190881206.31386725780
0.9437900.33876437171339.20919750958
0.9538649.10024158451459.94092083755
0.9639545.23686384351564.02501213375
0.9740606.18218636211663.75890323832
0.9841755.81427788221593.54476892888
0.9942709.5772552674952.08807227524

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 10144.8614811593 & 1255.49552073025 \tabularnewline
0.02 & 11276.209395913 & 1381.15910230307 \tabularnewline
0.03 & 12350.6493065527 & 1425.15728083641 \tabularnewline
0.04 & 13274.1331697258 & 1350.32253374048 \tabularnewline
0.05 & 14059.4760009883 & 1308.40065642482 \tabularnewline
0.06 & 14748.5347717518 & 1322.04707097914 \tabularnewline
0.07 & 15372.1582674694 & 1314.46045261730 \tabularnewline
0.08 & 15934.0739747265 & 1233.00644858493 \tabularnewline
0.09 & 16422.1315680386 & 1081.01612970415 \tabularnewline
0.1 & 16826.5646758244 & 896.931538162313 \tabularnewline
0.11 & 17149.8276073534 & 726.179991178838 \tabularnewline
0.12 & 17406.1794852992 & 601.360358599743 \tabularnewline
0.13 & 17616.0082216295 & 535.089946507534 \tabularnewline
0.14 & 17800.0251050598 & 523.586386396282 \tabularnewline
0.15 & 17975.8311112202 & 556.072470913283 \tabularnewline
0.16 & 18156.8488269772 & 621.78555329143 \tabularnewline
0.17 & 18352.4747557076 & 710.582721011031 \tabularnewline
0.18 & 18568.4376882954 & 811.589645837058 \tabularnewline
0.19 & 18807.0013394984 & 912.779627250813 \tabularnewline
0.2 & 19067.1542300514 & 1002.73602382808 \tabularnewline
0.21 & 19345.0447007464 & 1071.98606950459 \tabularnewline
0.22 & 19634.7571649558 & 1114.89862995436 \tabularnewline
0.23 & 19929.3133117074 & 1129.54450237151 \tabularnewline
0.24 & 20221.6734624196 & 1117.52145957944 \tabularnewline
0.25 & 20505.5385300716 & 1082.76851591286 \tabularnewline
0.26 & 20775.8569487266 & 1030.41559305005 \tabularnewline
0.27 & 21029.0490933772 & 965.97921005953 \tabularnewline
0.28 & 21263.0261511032 & 894.72456179313 \tabularnewline
0.29 & 21477.0921196449 & 821.841878844142 \tabularnewline
0.3 & 21671.794405132 & 751.962850840623 \tabularnewline
0.31 & 21848.755195847 & 689.362433268645 \tabularnewline
0.32 & 22010.4899936810 & 637.817103451754 \tabularnewline
0.33 & 22160.2076100988 & 600.485062039036 \tabularnewline
0.34 & 22301.5857050462 & 579.375540737683 \tabularnewline
0.35 & 22438.5228469998 & 575.580321801009 \tabularnewline
0.36 & 22574.8778440927 & 588.497809764584 \tabularnewline
0.37 & 22714.216520881 & 616.247448763284 \tabularnewline
0.38 & 22859.5922982238 & 655.827193726724 \tabularnewline
0.39 & 23013.3870682548 & 703.75712469286 \tabularnewline
0.4 & 23177.231150184 & 756.337615014437 \tabularnewline
0.41 & 23352.0062522062 & 810.293077084308 \tabularnewline
0.42 & 23537.9172672410 & 862.94062185118 \tabularnewline
0.43 & 23734.6036647934 & 912.349748200022 \tabularnewline
0.44 & 23941.2553826878 & 956.952925211388 \tabularnewline
0.45 & 24156.7046131199 & 995.547120265625 \tabularnewline
0.46 & 24379.4819288849 & 1026.84197522079 \tabularnewline
0.47 & 24607.846368864 & 1049.66515019232 \tabularnewline
0.48 & 24839.8158346567 & 1062.69480970820 \tabularnewline
0.49 & 25073.2294121737 & 1064.98811478342 \tabularnewline
0.5 & 25305.8645541828 & 1056.38304862039 \tabularnewline
0.51 & 25535.612487269 & 1037.65158770272 \tabularnewline
0.52 & 25760.6918107054 & 1010.78335000599 \tabularnewline
0.53 & 25979.8611008159 & 978.745946894129 \tabularnewline
0.54 & 26192.5824953481 & 945.36002123902 \tabularnewline
0.55 & 26399.0921774737 & 914.542859005715 \tabularnewline
0.56 & 26600.3493768928 & 889.830742471367 \tabularnewline
0.57 & 26797.859546482 & 873.513286136194 \tabularnewline
0.58 & 26993.3950532789 & 866.297396327132 \tabularnewline
0.59 & 27188.6625393982 & 867.016817516624 \tabularnewline
0.6 & 27384.9840197376 & 872.86898816086 \tabularnewline
0.61 & 27583.0630803697 & 880.08162927185 \tabularnewline
0.62 & 27782.8947486235 & 884.813335460088 \tabularnewline
0.63 & 27983.8487210125 & 884.238158890234 \tabularnewline
0.64 & 28184.9171574503 & 877.070707071817 \tabularnewline
0.65 & 28385.0806744568 & 863.977412159116 \tabularnewline
0.66 & 28583.7200619713 & 847.792778737746 \tabularnewline
0.67 & 28780.9927607396 & 832.721551280353 \tabularnewline
0.68 & 28978.1015979979 & 823.942023938182 \tabularnewline
0.69 & 29177.4025240707 & 826.828627332901 \tabularnewline
0.7 & 29382.3209343386 & 845.801457684562 \tabularnewline
0.71 & 29597.0691695468 & 883.484982198482 \tabularnewline
0.72 & 29826.1829084195 & 939.916955726904 \tabularnewline
0.73 & 30073.925366708 & 1012.10850227508 \tabularnewline
0.74 & 30343.6447283469 & 1094.28482135251 \tabularnewline
0.75 & 30637.2012832413 & 1178.49190966419 \tabularnewline
0.76 & 30954.5874182979 & 1256.06068745377 \tabularnewline
0.77 & 31293.8299353358 & 1319.04746552729 \tabularnewline
0.78 & 31651.1922997917 & 1361.42557850718 \tabularnewline
0.79 & 32021.6123166739 & 1379.91010479963 \tabularnewline
0.8 & 32399.2616736452 & 1373.77942646787 \tabularnewline
0.81 & 32778.1284513407 & 1344.28408618988 \tabularnewline
0.82 & 33152.5917414217 & 1294.32104310090 \tabularnewline
0.83 & 33518.0235641953 & 1228.31099649873 \tabularnewline
0.84 & 33871.4501855165 & 1152.64885462279 \tabularnewline
0.85 & 34212.2098204209 & 1075.93802191675 \tabularnewline
0.86 & 34542.4185424845 & 1008.18839869643 \tabularnewline
0.87 & 34867.0323785662 & 958.491345241753 \tabularnewline
0.88 & 35193.4830889048 & 932.524788644649 \tabularnewline
0.89 & 35531.2256024641 & 931.585365986063 \tabularnewline
0.9 & 35891.7785769777 & 955.236289530712 \tabularnewline
0.91 & 36289.5348909312 & 1005.98081439778 \tabularnewline
0.92 & 36742.623467431 & 1089.58736316030 \tabularnewline
0.93 & 37272.2591719088 & 1206.31386725780 \tabularnewline
0.94 & 37900.3387643717 & 1339.20919750958 \tabularnewline
0.95 & 38649.1002415845 & 1459.94092083755 \tabularnewline
0.96 & 39545.2368638435 & 1564.02501213375 \tabularnewline
0.97 & 40606.1821863621 & 1663.75890323832 \tabularnewline
0.98 & 41755.8142778822 & 1593.54476892888 \tabularnewline
0.99 & 42709.5772552674 & 952.08807227524 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=10284&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]10144.8614811593[/C][C]1255.49552073025[/C][/ROW]
[ROW][C]0.02[/C][C]11276.209395913[/C][C]1381.15910230307[/C][/ROW]
[ROW][C]0.03[/C][C]12350.6493065527[/C][C]1425.15728083641[/C][/ROW]
[ROW][C]0.04[/C][C]13274.1331697258[/C][C]1350.32253374048[/C][/ROW]
[ROW][C]0.05[/C][C]14059.4760009883[/C][C]1308.40065642482[/C][/ROW]
[ROW][C]0.06[/C][C]14748.5347717518[/C][C]1322.04707097914[/C][/ROW]
[ROW][C]0.07[/C][C]15372.1582674694[/C][C]1314.46045261730[/C][/ROW]
[ROW][C]0.08[/C][C]15934.0739747265[/C][C]1233.00644858493[/C][/ROW]
[ROW][C]0.09[/C][C]16422.1315680386[/C][C]1081.01612970415[/C][/ROW]
[ROW][C]0.1[/C][C]16826.5646758244[/C][C]896.931538162313[/C][/ROW]
[ROW][C]0.11[/C][C]17149.8276073534[/C][C]726.179991178838[/C][/ROW]
[ROW][C]0.12[/C][C]17406.1794852992[/C][C]601.360358599743[/C][/ROW]
[ROW][C]0.13[/C][C]17616.0082216295[/C][C]535.089946507534[/C][/ROW]
[ROW][C]0.14[/C][C]17800.0251050598[/C][C]523.586386396282[/C][/ROW]
[ROW][C]0.15[/C][C]17975.8311112202[/C][C]556.072470913283[/C][/ROW]
[ROW][C]0.16[/C][C]18156.8488269772[/C][C]621.78555329143[/C][/ROW]
[ROW][C]0.17[/C][C]18352.4747557076[/C][C]710.582721011031[/C][/ROW]
[ROW][C]0.18[/C][C]18568.4376882954[/C][C]811.589645837058[/C][/ROW]
[ROW][C]0.19[/C][C]18807.0013394984[/C][C]912.779627250813[/C][/ROW]
[ROW][C]0.2[/C][C]19067.1542300514[/C][C]1002.73602382808[/C][/ROW]
[ROW][C]0.21[/C][C]19345.0447007464[/C][C]1071.98606950459[/C][/ROW]
[ROW][C]0.22[/C][C]19634.7571649558[/C][C]1114.89862995436[/C][/ROW]
[ROW][C]0.23[/C][C]19929.3133117074[/C][C]1129.54450237151[/C][/ROW]
[ROW][C]0.24[/C][C]20221.6734624196[/C][C]1117.52145957944[/C][/ROW]
[ROW][C]0.25[/C][C]20505.5385300716[/C][C]1082.76851591286[/C][/ROW]
[ROW][C]0.26[/C][C]20775.8569487266[/C][C]1030.41559305005[/C][/ROW]
[ROW][C]0.27[/C][C]21029.0490933772[/C][C]965.97921005953[/C][/ROW]
[ROW][C]0.28[/C][C]21263.0261511032[/C][C]894.72456179313[/C][/ROW]
[ROW][C]0.29[/C][C]21477.0921196449[/C][C]821.841878844142[/C][/ROW]
[ROW][C]0.3[/C][C]21671.794405132[/C][C]751.962850840623[/C][/ROW]
[ROW][C]0.31[/C][C]21848.755195847[/C][C]689.362433268645[/C][/ROW]
[ROW][C]0.32[/C][C]22010.4899936810[/C][C]637.817103451754[/C][/ROW]
[ROW][C]0.33[/C][C]22160.2076100988[/C][C]600.485062039036[/C][/ROW]
[ROW][C]0.34[/C][C]22301.5857050462[/C][C]579.375540737683[/C][/ROW]
[ROW][C]0.35[/C][C]22438.5228469998[/C][C]575.580321801009[/C][/ROW]
[ROW][C]0.36[/C][C]22574.8778440927[/C][C]588.497809764584[/C][/ROW]
[ROW][C]0.37[/C][C]22714.216520881[/C][C]616.247448763284[/C][/ROW]
[ROW][C]0.38[/C][C]22859.5922982238[/C][C]655.827193726724[/C][/ROW]
[ROW][C]0.39[/C][C]23013.3870682548[/C][C]703.75712469286[/C][/ROW]
[ROW][C]0.4[/C][C]23177.231150184[/C][C]756.337615014437[/C][/ROW]
[ROW][C]0.41[/C][C]23352.0062522062[/C][C]810.293077084308[/C][/ROW]
[ROW][C]0.42[/C][C]23537.9172672410[/C][C]862.94062185118[/C][/ROW]
[ROW][C]0.43[/C][C]23734.6036647934[/C][C]912.349748200022[/C][/ROW]
[ROW][C]0.44[/C][C]23941.2553826878[/C][C]956.952925211388[/C][/ROW]
[ROW][C]0.45[/C][C]24156.7046131199[/C][C]995.547120265625[/C][/ROW]
[ROW][C]0.46[/C][C]24379.4819288849[/C][C]1026.84197522079[/C][/ROW]
[ROW][C]0.47[/C][C]24607.846368864[/C][C]1049.66515019232[/C][/ROW]
[ROW][C]0.48[/C][C]24839.8158346567[/C][C]1062.69480970820[/C][/ROW]
[ROW][C]0.49[/C][C]25073.2294121737[/C][C]1064.98811478342[/C][/ROW]
[ROW][C]0.5[/C][C]25305.8645541828[/C][C]1056.38304862039[/C][/ROW]
[ROW][C]0.51[/C][C]25535.612487269[/C][C]1037.65158770272[/C][/ROW]
[ROW][C]0.52[/C][C]25760.6918107054[/C][C]1010.78335000599[/C][/ROW]
[ROW][C]0.53[/C][C]25979.8611008159[/C][C]978.745946894129[/C][/ROW]
[ROW][C]0.54[/C][C]26192.5824953481[/C][C]945.36002123902[/C][/ROW]
[ROW][C]0.55[/C][C]26399.0921774737[/C][C]914.542859005715[/C][/ROW]
[ROW][C]0.56[/C][C]26600.3493768928[/C][C]889.830742471367[/C][/ROW]
[ROW][C]0.57[/C][C]26797.859546482[/C][C]873.513286136194[/C][/ROW]
[ROW][C]0.58[/C][C]26993.3950532789[/C][C]866.297396327132[/C][/ROW]
[ROW][C]0.59[/C][C]27188.6625393982[/C][C]867.016817516624[/C][/ROW]
[ROW][C]0.6[/C][C]27384.9840197376[/C][C]872.86898816086[/C][/ROW]
[ROW][C]0.61[/C][C]27583.0630803697[/C][C]880.08162927185[/C][/ROW]
[ROW][C]0.62[/C][C]27782.8947486235[/C][C]884.813335460088[/C][/ROW]
[ROW][C]0.63[/C][C]27983.8487210125[/C][C]884.238158890234[/C][/ROW]
[ROW][C]0.64[/C][C]28184.9171574503[/C][C]877.070707071817[/C][/ROW]
[ROW][C]0.65[/C][C]28385.0806744568[/C][C]863.977412159116[/C][/ROW]
[ROW][C]0.66[/C][C]28583.7200619713[/C][C]847.792778737746[/C][/ROW]
[ROW][C]0.67[/C][C]28780.9927607396[/C][C]832.721551280353[/C][/ROW]
[ROW][C]0.68[/C][C]28978.1015979979[/C][C]823.942023938182[/C][/ROW]
[ROW][C]0.69[/C][C]29177.4025240707[/C][C]826.828627332901[/C][/ROW]
[ROW][C]0.7[/C][C]29382.3209343386[/C][C]845.801457684562[/C][/ROW]
[ROW][C]0.71[/C][C]29597.0691695468[/C][C]883.484982198482[/C][/ROW]
[ROW][C]0.72[/C][C]29826.1829084195[/C][C]939.916955726904[/C][/ROW]
[ROW][C]0.73[/C][C]30073.925366708[/C][C]1012.10850227508[/C][/ROW]
[ROW][C]0.74[/C][C]30343.6447283469[/C][C]1094.28482135251[/C][/ROW]
[ROW][C]0.75[/C][C]30637.2012832413[/C][C]1178.49190966419[/C][/ROW]
[ROW][C]0.76[/C][C]30954.5874182979[/C][C]1256.06068745377[/C][/ROW]
[ROW][C]0.77[/C][C]31293.8299353358[/C][C]1319.04746552729[/C][/ROW]
[ROW][C]0.78[/C][C]31651.1922997917[/C][C]1361.42557850718[/C][/ROW]
[ROW][C]0.79[/C][C]32021.6123166739[/C][C]1379.91010479963[/C][/ROW]
[ROW][C]0.8[/C][C]32399.2616736452[/C][C]1373.77942646787[/C][/ROW]
[ROW][C]0.81[/C][C]32778.1284513407[/C][C]1344.28408618988[/C][/ROW]
[ROW][C]0.82[/C][C]33152.5917414217[/C][C]1294.32104310090[/C][/ROW]
[ROW][C]0.83[/C][C]33518.0235641953[/C][C]1228.31099649873[/C][/ROW]
[ROW][C]0.84[/C][C]33871.4501855165[/C][C]1152.64885462279[/C][/ROW]
[ROW][C]0.85[/C][C]34212.2098204209[/C][C]1075.93802191675[/C][/ROW]
[ROW][C]0.86[/C][C]34542.4185424845[/C][C]1008.18839869643[/C][/ROW]
[ROW][C]0.87[/C][C]34867.0323785662[/C][C]958.491345241753[/C][/ROW]
[ROW][C]0.88[/C][C]35193.4830889048[/C][C]932.524788644649[/C][/ROW]
[ROW][C]0.89[/C][C]35531.2256024641[/C][C]931.585365986063[/C][/ROW]
[ROW][C]0.9[/C][C]35891.7785769777[/C][C]955.236289530712[/C][/ROW]
[ROW][C]0.91[/C][C]36289.5348909312[/C][C]1005.98081439778[/C][/ROW]
[ROW][C]0.92[/C][C]36742.623467431[/C][C]1089.58736316030[/C][/ROW]
[ROW][C]0.93[/C][C]37272.2591719088[/C][C]1206.31386725780[/C][/ROW]
[ROW][C]0.94[/C][C]37900.3387643717[/C][C]1339.20919750958[/C][/ROW]
[ROW][C]0.95[/C][C]38649.1002415845[/C][C]1459.94092083755[/C][/ROW]
[ROW][C]0.96[/C][C]39545.2368638435[/C][C]1564.02501213375[/C][/ROW]
[ROW][C]0.97[/C][C]40606.1821863621[/C][C]1663.75890323832[/C][/ROW]
[ROW][C]0.98[/C][C]41755.8142778822[/C][C]1593.54476892888[/C][/ROW]
[ROW][C]0.99[/C][C]42709.5772552674[/C][C]952.08807227524[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=10284&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=10284&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0110144.86148115931255.49552073025
0.0211276.2093959131381.15910230307
0.0312350.64930655271425.15728083641
0.0413274.13316972581350.32253374048
0.0514059.47600098831308.40065642482
0.0614748.53477175181322.04707097914
0.0715372.15826746941314.46045261730
0.0815934.07397472651233.00644858493
0.0916422.13156803861081.01612970415
0.116826.5646758244896.931538162313
0.1117149.8276073534726.179991178838
0.1217406.1794852992601.360358599743
0.1317616.0082216295535.089946507534
0.1417800.0251050598523.586386396282
0.1517975.8311112202556.072470913283
0.1618156.8488269772621.78555329143
0.1718352.4747557076710.582721011031
0.1818568.4376882954811.589645837058
0.1918807.0013394984912.779627250813
0.219067.15423005141002.73602382808
0.2119345.04470074641071.98606950459
0.2219634.75716495581114.89862995436
0.2319929.31331170741129.54450237151
0.2420221.67346241961117.52145957944
0.2520505.53853007161082.76851591286
0.2620775.85694872661030.41559305005
0.2721029.0490933772965.97921005953
0.2821263.0261511032894.72456179313
0.2921477.0921196449821.841878844142
0.321671.794405132751.962850840623
0.3121848.755195847689.362433268645
0.3222010.4899936810637.817103451754
0.3322160.2076100988600.485062039036
0.3422301.5857050462579.375540737683
0.3522438.5228469998575.580321801009
0.3622574.8778440927588.497809764584
0.3722714.216520881616.247448763284
0.3822859.5922982238655.827193726724
0.3923013.3870682548703.75712469286
0.423177.231150184756.337615014437
0.4123352.0062522062810.293077084308
0.4223537.9172672410862.94062185118
0.4323734.6036647934912.349748200022
0.4423941.2553826878956.952925211388
0.4524156.7046131199995.547120265625
0.4624379.48192888491026.84197522079
0.4724607.8463688641049.66515019232
0.4824839.81583465671062.69480970820
0.4925073.22941217371064.98811478342
0.525305.86455418281056.38304862039
0.5125535.6124872691037.65158770272
0.5225760.69181070541010.78335000599
0.5325979.8611008159978.745946894129
0.5426192.5824953481945.36002123902
0.5526399.0921774737914.542859005715
0.5626600.3493768928889.830742471367
0.5726797.859546482873.513286136194
0.5826993.3950532789866.297396327132
0.5927188.6625393982867.016817516624
0.627384.9840197376872.86898816086
0.6127583.0630803697880.08162927185
0.6227782.8947486235884.813335460088
0.6327983.8487210125884.238158890234
0.6428184.9171574503877.070707071817
0.6528385.0806744568863.977412159116
0.6628583.7200619713847.792778737746
0.6728780.9927607396832.721551280353
0.6828978.1015979979823.942023938182
0.6929177.4025240707826.828627332901
0.729382.3209343386845.801457684562
0.7129597.0691695468883.484982198482
0.7229826.1829084195939.916955726904
0.7330073.9253667081012.10850227508
0.7430343.64472834691094.28482135251
0.7530637.20128324131178.49190966419
0.7630954.58741829791256.06068745377
0.7731293.82993533581319.04746552729
0.7831651.19229979171361.42557850718
0.7932021.61231667391379.91010479963
0.832399.26167364521373.77942646787
0.8132778.12845134071344.28408618988
0.8233152.59174142171294.32104310090
0.8333518.02356419531228.31099649873
0.8433871.45018551651152.64885462279
0.8534212.20982042091075.93802191675
0.8634542.41854248451008.18839869643
0.8734867.0323785662958.491345241753
0.8835193.4830889048932.524788644649
0.8935531.2256024641931.585365986063
0.935891.7785769777955.236289530712
0.9136289.53489093121005.98081439778
0.9236742.6234674311089.58736316030
0.9337272.25917190881206.31386725780
0.9437900.33876437171339.20919750958
0.9538649.10024158451459.94092083755
0.9639545.23686384351564.02501213375
0.9740606.18218636211663.75890323832
0.9841755.81427788221593.54476892888
0.9942709.5772552674952.08807227524



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')