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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 computationThu, 12 Feb 2015 19:24:28 +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/2015/Feb/12/t1423769124puw1wvd9e7mp3ol.htm/, Retrieved Sat, 18 May 2024 14:35:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=277281, Retrieved Sat, 18 May 2024 14:35:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact54

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] [] [2015-02-12 19:24:28] [f51cc71db71177f4a98625dd32633bf7] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
950
775
805
680
705
755
715
860
900
1010
925
650
1060
1050
1025
1085
1160
1310
1445
1445
1615
1650
1255
1175
1300
1280
1390
1340
1110
1325
1265
1150
1430
1655
1570
1345
1430
1260
1495
1125
895
1085
870
1185
1455
1540
1615
1200
1260
1095
1160
1095
1300
1215
1245
1350
1300
1280
1270
1065
1340
1265
1155
930
880
925
980
1015
1040
1365
1160
1115
1630
1225
1200
1265
1140
1270
1445
1305
1665
1830
1690
1520

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'George Udny Yule' @ yule.wessa.net

\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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277281&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277281&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277281&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01662.50478353300428.2777633597357
0.02681.77961767630629.5920211752497
0.03702.49976731105634.6512298861293
0.04723.46847247798141.8595850444199
0.05745.05806664433448.9749137761187
0.06767.31671864962754.2122278870679
0.07789.70161049274556.6695811538174
0.08811.40792857043256.2570508840378
0.09831.7084283088153.5634152497057
0.1850.15688055584249.6450423559265
0.11866.65330891940245.6938519417438
0.12881.40172342809242.6869718135767
0.13894.80347368235241.1600159266454
0.14907.3326189201641.1716601919331
0.15919.42959104320942.4218616215424
0.16931.431179663944.422719130746
0.17943.53870656834946.635722594917
0.18955.81761740983948.5758288915565
0.19968.21938251295249.8750839001549
0.2980.61684328336250.3290213682079
0.21992.84465084302849.9038180855378
0.221004.7371080401648.7141933330875
0.231016.1573085193246.9666193724764
0.241027.0142066758344.9073621253863
0.251037.2674872589642.7636195180729
0.261046.9227699706240.7182966398834
0.271056.0210203104338.894439644059
0.281064.6259467276237.3587814353281
0.291072.8121224049536.1327869631879
0.31080.6552673057935.2040039900621
0.311088.225107880434.5365536860816
0.321095.5807176146934.0738639771492
0.331102.7681451150933.7523082360455
0.341109.8202113466633.5050421777479
0.351116.7583655580333.2824146166468
0.361123.596312938733.0549298556882
0.371130.3447988425632.8266334049891
0.381137.0165942047932.6271314269243
0.391143.630541225632.5181841919245
0.41150.2136030202732.5628152818384
0.411156.8002334766932.8105351302465
0.421163.4289608468233.2837319400941
0.431170.1367112151133.9548621781415
0.441176.9519243143634.7604660737958
0.451183.8878111828335.5895693066845
0.461190.9371166283236.3106451415974
0.471198.0694969288136.7937108000456
0.481205.2321751537736.9158374372537
0.491212.3539882317136.59053418855
0.51219.3523868597135.7794041593603
0.511226.1424731948534.4869457859836
0.521232.6468260461932.7795966728472
0.531238.80471590330.7651964528241
0.541244.5793804489228.5892113241447
0.551249.962317225426.4154157717122
0.561254.9740210739824.4085617317092
0.571259.6611779597822.709126216226
0.581264.0909188760521.4255731146664
0.591268.3432192222520.6110293404218
0.61272.5027969995120.2635454569223
0.611276.6518591542320.3349785285279
0.621280.8647765991120.7481448533813
0.631285.205308890421.4251243812289
0.641289.7264689353522.2914968794354
0.651294.4726422815423.3096334072953
0.661299.4832419972424.4547762855133
0.671304.7970079894225.7349652029964
0.681310.4560020345627.169901326345
0.691316.508335705728.7951330696987
0.71323.0086689757730.6451175222025
0.711330.0156024988932.7365940537973
0.721337.5854269226635.0566543557457
0.731345.7624772752337.5305173243631
0.741354.5676243492540.0251477866718
0.751363.9879806685342.3435751145044
0.761373.9721173832344.2688158297381
0.771384.4351726891645.6120308155464
0.781395.276496912246.2889681018601
0.791406.4088078909146.3710755454251
0.81417.7930095410846.1204173703716
0.811429.4685212012445.9567917180473
0.821441.5671983208646.3589644377134
0.831454.3011803030347.696211632171
0.841467.9213571527850.0568902812624
0.851482.651973369653.1683049620559
0.861498.6154167746356.4458313731149
0.871515.7667320203259.1305033543478
0.881533.8580980497760.4595589370103
0.891552.4487421899759.8389418639545
0.91570.965671716956.99187330446
0.911588.8071488919252.0657996592898
0.921605.4709722454245.6308512247481
0.931620.6986779426238.567943406862
0.941634.6783934090531.9281465984138
0.951648.4621856005427.0762223922524
0.961664.8487629351326.6753183744348
0.971689.5142818027436.2501478820861
0.981729.7807287143962.198739981359
0.991784.86384457309103.21601701041

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 662.504783533004 & 28.2777633597357 \tabularnewline
0.02 & 681.779617676306 & 29.5920211752497 \tabularnewline
0.03 & 702.499767311056 & 34.6512298861293 \tabularnewline
0.04 & 723.468472477981 & 41.8595850444199 \tabularnewline
0.05 & 745.058066644334 & 48.9749137761187 \tabularnewline
0.06 & 767.316718649627 & 54.2122278870679 \tabularnewline
0.07 & 789.701610492745 & 56.6695811538174 \tabularnewline
0.08 & 811.407928570432 & 56.2570508840378 \tabularnewline
0.09 & 831.70842830881 & 53.5634152497057 \tabularnewline
0.1 & 850.156880555842 & 49.6450423559265 \tabularnewline
0.11 & 866.653308919402 & 45.6938519417438 \tabularnewline
0.12 & 881.401723428092 & 42.6869718135767 \tabularnewline
0.13 & 894.803473682352 & 41.1600159266454 \tabularnewline
0.14 & 907.33261892016 & 41.1716601919331 \tabularnewline
0.15 & 919.429591043209 & 42.4218616215424 \tabularnewline
0.16 & 931.4311796639 & 44.422719130746 \tabularnewline
0.17 & 943.538706568349 & 46.635722594917 \tabularnewline
0.18 & 955.817617409839 & 48.5758288915565 \tabularnewline
0.19 & 968.219382512952 & 49.8750839001549 \tabularnewline
0.2 & 980.616843283362 & 50.3290213682079 \tabularnewline
0.21 & 992.844650843028 & 49.9038180855378 \tabularnewline
0.22 & 1004.73710804016 & 48.7141933330875 \tabularnewline
0.23 & 1016.15730851932 & 46.9666193724764 \tabularnewline
0.24 & 1027.01420667583 & 44.9073621253863 \tabularnewline
0.25 & 1037.26748725896 & 42.7636195180729 \tabularnewline
0.26 & 1046.92276997062 & 40.7182966398834 \tabularnewline
0.27 & 1056.02102031043 & 38.894439644059 \tabularnewline
0.28 & 1064.62594672762 & 37.3587814353281 \tabularnewline
0.29 & 1072.81212240495 & 36.1327869631879 \tabularnewline
0.3 & 1080.65526730579 & 35.2040039900621 \tabularnewline
0.31 & 1088.2251078804 & 34.5365536860816 \tabularnewline
0.32 & 1095.58071761469 & 34.0738639771492 \tabularnewline
0.33 & 1102.76814511509 & 33.7523082360455 \tabularnewline
0.34 & 1109.82021134666 & 33.5050421777479 \tabularnewline
0.35 & 1116.75836555803 & 33.2824146166468 \tabularnewline
0.36 & 1123.5963129387 & 33.0549298556882 \tabularnewline
0.37 & 1130.34479884256 & 32.8266334049891 \tabularnewline
0.38 & 1137.01659420479 & 32.6271314269243 \tabularnewline
0.39 & 1143.6305412256 & 32.5181841919245 \tabularnewline
0.4 & 1150.21360302027 & 32.5628152818384 \tabularnewline
0.41 & 1156.80023347669 & 32.8105351302465 \tabularnewline
0.42 & 1163.42896084682 & 33.2837319400941 \tabularnewline
0.43 & 1170.13671121511 & 33.9548621781415 \tabularnewline
0.44 & 1176.95192431436 & 34.7604660737958 \tabularnewline
0.45 & 1183.88781118283 & 35.5895693066845 \tabularnewline
0.46 & 1190.93711662832 & 36.3106451415974 \tabularnewline
0.47 & 1198.06949692881 & 36.7937108000456 \tabularnewline
0.48 & 1205.23217515377 & 36.9158374372537 \tabularnewline
0.49 & 1212.35398823171 & 36.59053418855 \tabularnewline
0.5 & 1219.35238685971 & 35.7794041593603 \tabularnewline
0.51 & 1226.14247319485 & 34.4869457859836 \tabularnewline
0.52 & 1232.64682604619 & 32.7795966728472 \tabularnewline
0.53 & 1238.804715903 & 30.7651964528241 \tabularnewline
0.54 & 1244.57938044892 & 28.5892113241447 \tabularnewline
0.55 & 1249.9623172254 & 26.4154157717122 \tabularnewline
0.56 & 1254.97402107398 & 24.4085617317092 \tabularnewline
0.57 & 1259.66117795978 & 22.709126216226 \tabularnewline
0.58 & 1264.09091887605 & 21.4255731146664 \tabularnewline
0.59 & 1268.34321922225 & 20.6110293404218 \tabularnewline
0.6 & 1272.50279699951 & 20.2635454569223 \tabularnewline
0.61 & 1276.65185915423 & 20.3349785285279 \tabularnewline
0.62 & 1280.86477659911 & 20.7481448533813 \tabularnewline
0.63 & 1285.2053088904 & 21.4251243812289 \tabularnewline
0.64 & 1289.72646893535 & 22.2914968794354 \tabularnewline
0.65 & 1294.47264228154 & 23.3096334072953 \tabularnewline
0.66 & 1299.48324199724 & 24.4547762855133 \tabularnewline
0.67 & 1304.79700798942 & 25.7349652029964 \tabularnewline
0.68 & 1310.45600203456 & 27.169901326345 \tabularnewline
0.69 & 1316.5083357057 & 28.7951330696987 \tabularnewline
0.7 & 1323.00866897577 & 30.6451175222025 \tabularnewline
0.71 & 1330.01560249889 & 32.7365940537973 \tabularnewline
0.72 & 1337.58542692266 & 35.0566543557457 \tabularnewline
0.73 & 1345.76247727523 & 37.5305173243631 \tabularnewline
0.74 & 1354.56762434925 & 40.0251477866718 \tabularnewline
0.75 & 1363.98798066853 & 42.3435751145044 \tabularnewline
0.76 & 1373.97211738323 & 44.2688158297381 \tabularnewline
0.77 & 1384.43517268916 & 45.6120308155464 \tabularnewline
0.78 & 1395.2764969122 & 46.2889681018601 \tabularnewline
0.79 & 1406.40880789091 & 46.3710755454251 \tabularnewline
0.8 & 1417.79300954108 & 46.1204173703716 \tabularnewline
0.81 & 1429.46852120124 & 45.9567917180473 \tabularnewline
0.82 & 1441.56719832086 & 46.3589644377134 \tabularnewline
0.83 & 1454.30118030303 & 47.696211632171 \tabularnewline
0.84 & 1467.92135715278 & 50.0568902812624 \tabularnewline
0.85 & 1482.6519733696 & 53.1683049620559 \tabularnewline
0.86 & 1498.61541677463 & 56.4458313731149 \tabularnewline
0.87 & 1515.76673202032 & 59.1305033543478 \tabularnewline
0.88 & 1533.85809804977 & 60.4595589370103 \tabularnewline
0.89 & 1552.44874218997 & 59.8389418639545 \tabularnewline
0.9 & 1570.9656717169 & 56.99187330446 \tabularnewline
0.91 & 1588.80714889192 & 52.0657996592898 \tabularnewline
0.92 & 1605.47097224542 & 45.6308512247481 \tabularnewline
0.93 & 1620.69867794262 & 38.567943406862 \tabularnewline
0.94 & 1634.67839340905 & 31.9281465984138 \tabularnewline
0.95 & 1648.46218560054 & 27.0762223922524 \tabularnewline
0.96 & 1664.84876293513 & 26.6753183744348 \tabularnewline
0.97 & 1689.51428180274 & 36.2501478820861 \tabularnewline
0.98 & 1729.78072871439 & 62.198739981359 \tabularnewline
0.99 & 1784.86384457309 & 103.21601701041 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277281&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]662.504783533004[/C][C]28.2777633597357[/C][/ROW]
[ROW][C]0.02[/C][C]681.779617676306[/C][C]29.5920211752497[/C][/ROW]
[ROW][C]0.03[/C][C]702.499767311056[/C][C]34.6512298861293[/C][/ROW]
[ROW][C]0.04[/C][C]723.468472477981[/C][C]41.8595850444199[/C][/ROW]
[ROW][C]0.05[/C][C]745.058066644334[/C][C]48.9749137761187[/C][/ROW]
[ROW][C]0.06[/C][C]767.316718649627[/C][C]54.2122278870679[/C][/ROW]
[ROW][C]0.07[/C][C]789.701610492745[/C][C]56.6695811538174[/C][/ROW]
[ROW][C]0.08[/C][C]811.407928570432[/C][C]56.2570508840378[/C][/ROW]
[ROW][C]0.09[/C][C]831.70842830881[/C][C]53.5634152497057[/C][/ROW]
[ROW][C]0.1[/C][C]850.156880555842[/C][C]49.6450423559265[/C][/ROW]
[ROW][C]0.11[/C][C]866.653308919402[/C][C]45.6938519417438[/C][/ROW]
[ROW][C]0.12[/C][C]881.401723428092[/C][C]42.6869718135767[/C][/ROW]
[ROW][C]0.13[/C][C]894.803473682352[/C][C]41.1600159266454[/C][/ROW]
[ROW][C]0.14[/C][C]907.33261892016[/C][C]41.1716601919331[/C][/ROW]
[ROW][C]0.15[/C][C]919.429591043209[/C][C]42.4218616215424[/C][/ROW]
[ROW][C]0.16[/C][C]931.4311796639[/C][C]44.422719130746[/C][/ROW]
[ROW][C]0.17[/C][C]943.538706568349[/C][C]46.635722594917[/C][/ROW]
[ROW][C]0.18[/C][C]955.817617409839[/C][C]48.5758288915565[/C][/ROW]
[ROW][C]0.19[/C][C]968.219382512952[/C][C]49.8750839001549[/C][/ROW]
[ROW][C]0.2[/C][C]980.616843283362[/C][C]50.3290213682079[/C][/ROW]
[ROW][C]0.21[/C][C]992.844650843028[/C][C]49.9038180855378[/C][/ROW]
[ROW][C]0.22[/C][C]1004.73710804016[/C][C]48.7141933330875[/C][/ROW]
[ROW][C]0.23[/C][C]1016.15730851932[/C][C]46.9666193724764[/C][/ROW]
[ROW][C]0.24[/C][C]1027.01420667583[/C][C]44.9073621253863[/C][/ROW]
[ROW][C]0.25[/C][C]1037.26748725896[/C][C]42.7636195180729[/C][/ROW]
[ROW][C]0.26[/C][C]1046.92276997062[/C][C]40.7182966398834[/C][/ROW]
[ROW][C]0.27[/C][C]1056.02102031043[/C][C]38.894439644059[/C][/ROW]
[ROW][C]0.28[/C][C]1064.62594672762[/C][C]37.3587814353281[/C][/ROW]
[ROW][C]0.29[/C][C]1072.81212240495[/C][C]36.1327869631879[/C][/ROW]
[ROW][C]0.3[/C][C]1080.65526730579[/C][C]35.2040039900621[/C][/ROW]
[ROW][C]0.31[/C][C]1088.2251078804[/C][C]34.5365536860816[/C][/ROW]
[ROW][C]0.32[/C][C]1095.58071761469[/C][C]34.0738639771492[/C][/ROW]
[ROW][C]0.33[/C][C]1102.76814511509[/C][C]33.7523082360455[/C][/ROW]
[ROW][C]0.34[/C][C]1109.82021134666[/C][C]33.5050421777479[/C][/ROW]
[ROW][C]0.35[/C][C]1116.75836555803[/C][C]33.2824146166468[/C][/ROW]
[ROW][C]0.36[/C][C]1123.5963129387[/C][C]33.0549298556882[/C][/ROW]
[ROW][C]0.37[/C][C]1130.34479884256[/C][C]32.8266334049891[/C][/ROW]
[ROW][C]0.38[/C][C]1137.01659420479[/C][C]32.6271314269243[/C][/ROW]
[ROW][C]0.39[/C][C]1143.6305412256[/C][C]32.5181841919245[/C][/ROW]
[ROW][C]0.4[/C][C]1150.21360302027[/C][C]32.5628152818384[/C][/ROW]
[ROW][C]0.41[/C][C]1156.80023347669[/C][C]32.8105351302465[/C][/ROW]
[ROW][C]0.42[/C][C]1163.42896084682[/C][C]33.2837319400941[/C][/ROW]
[ROW][C]0.43[/C][C]1170.13671121511[/C][C]33.9548621781415[/C][/ROW]
[ROW][C]0.44[/C][C]1176.95192431436[/C][C]34.7604660737958[/C][/ROW]
[ROW][C]0.45[/C][C]1183.88781118283[/C][C]35.5895693066845[/C][/ROW]
[ROW][C]0.46[/C][C]1190.93711662832[/C][C]36.3106451415974[/C][/ROW]
[ROW][C]0.47[/C][C]1198.06949692881[/C][C]36.7937108000456[/C][/ROW]
[ROW][C]0.48[/C][C]1205.23217515377[/C][C]36.9158374372537[/C][/ROW]
[ROW][C]0.49[/C][C]1212.35398823171[/C][C]36.59053418855[/C][/ROW]
[ROW][C]0.5[/C][C]1219.35238685971[/C][C]35.7794041593603[/C][/ROW]
[ROW][C]0.51[/C][C]1226.14247319485[/C][C]34.4869457859836[/C][/ROW]
[ROW][C]0.52[/C][C]1232.64682604619[/C][C]32.7795966728472[/C][/ROW]
[ROW][C]0.53[/C][C]1238.804715903[/C][C]30.7651964528241[/C][/ROW]
[ROW][C]0.54[/C][C]1244.57938044892[/C][C]28.5892113241447[/C][/ROW]
[ROW][C]0.55[/C][C]1249.9623172254[/C][C]26.4154157717122[/C][/ROW]
[ROW][C]0.56[/C][C]1254.97402107398[/C][C]24.4085617317092[/C][/ROW]
[ROW][C]0.57[/C][C]1259.66117795978[/C][C]22.709126216226[/C][/ROW]
[ROW][C]0.58[/C][C]1264.09091887605[/C][C]21.4255731146664[/C][/ROW]
[ROW][C]0.59[/C][C]1268.34321922225[/C][C]20.6110293404218[/C][/ROW]
[ROW][C]0.6[/C][C]1272.50279699951[/C][C]20.2635454569223[/C][/ROW]
[ROW][C]0.61[/C][C]1276.65185915423[/C][C]20.3349785285279[/C][/ROW]
[ROW][C]0.62[/C][C]1280.86477659911[/C][C]20.7481448533813[/C][/ROW]
[ROW][C]0.63[/C][C]1285.2053088904[/C][C]21.4251243812289[/C][/ROW]
[ROW][C]0.64[/C][C]1289.72646893535[/C][C]22.2914968794354[/C][/ROW]
[ROW][C]0.65[/C][C]1294.47264228154[/C][C]23.3096334072953[/C][/ROW]
[ROW][C]0.66[/C][C]1299.48324199724[/C][C]24.4547762855133[/C][/ROW]
[ROW][C]0.67[/C][C]1304.79700798942[/C][C]25.7349652029964[/C][/ROW]
[ROW][C]0.68[/C][C]1310.45600203456[/C][C]27.169901326345[/C][/ROW]
[ROW][C]0.69[/C][C]1316.5083357057[/C][C]28.7951330696987[/C][/ROW]
[ROW][C]0.7[/C][C]1323.00866897577[/C][C]30.6451175222025[/C][/ROW]
[ROW][C]0.71[/C][C]1330.01560249889[/C][C]32.7365940537973[/C][/ROW]
[ROW][C]0.72[/C][C]1337.58542692266[/C][C]35.0566543557457[/C][/ROW]
[ROW][C]0.73[/C][C]1345.76247727523[/C][C]37.5305173243631[/C][/ROW]
[ROW][C]0.74[/C][C]1354.56762434925[/C][C]40.0251477866718[/C][/ROW]
[ROW][C]0.75[/C][C]1363.98798066853[/C][C]42.3435751145044[/C][/ROW]
[ROW][C]0.76[/C][C]1373.97211738323[/C][C]44.2688158297381[/C][/ROW]
[ROW][C]0.77[/C][C]1384.43517268916[/C][C]45.6120308155464[/C][/ROW]
[ROW][C]0.78[/C][C]1395.2764969122[/C][C]46.2889681018601[/C][/ROW]
[ROW][C]0.79[/C][C]1406.40880789091[/C][C]46.3710755454251[/C][/ROW]
[ROW][C]0.8[/C][C]1417.79300954108[/C][C]46.1204173703716[/C][/ROW]
[ROW][C]0.81[/C][C]1429.46852120124[/C][C]45.9567917180473[/C][/ROW]
[ROW][C]0.82[/C][C]1441.56719832086[/C][C]46.3589644377134[/C][/ROW]
[ROW][C]0.83[/C][C]1454.30118030303[/C][C]47.696211632171[/C][/ROW]
[ROW][C]0.84[/C][C]1467.92135715278[/C][C]50.0568902812624[/C][/ROW]
[ROW][C]0.85[/C][C]1482.6519733696[/C][C]53.1683049620559[/C][/ROW]
[ROW][C]0.86[/C][C]1498.61541677463[/C][C]56.4458313731149[/C][/ROW]
[ROW][C]0.87[/C][C]1515.76673202032[/C][C]59.1305033543478[/C][/ROW]
[ROW][C]0.88[/C][C]1533.85809804977[/C][C]60.4595589370103[/C][/ROW]
[ROW][C]0.89[/C][C]1552.44874218997[/C][C]59.8389418639545[/C][/ROW]
[ROW][C]0.9[/C][C]1570.9656717169[/C][C]56.99187330446[/C][/ROW]
[ROW][C]0.91[/C][C]1588.80714889192[/C][C]52.0657996592898[/C][/ROW]
[ROW][C]0.92[/C][C]1605.47097224542[/C][C]45.6308512247481[/C][/ROW]
[ROW][C]0.93[/C][C]1620.69867794262[/C][C]38.567943406862[/C][/ROW]
[ROW][C]0.94[/C][C]1634.67839340905[/C][C]31.9281465984138[/C][/ROW]
[ROW][C]0.95[/C][C]1648.46218560054[/C][C]27.0762223922524[/C][/ROW]
[ROW][C]0.96[/C][C]1664.84876293513[/C][C]26.6753183744348[/C][/ROW]
[ROW][C]0.97[/C][C]1689.51428180274[/C][C]36.2501478820861[/C][/ROW]
[ROW][C]0.98[/C][C]1729.78072871439[/C][C]62.198739981359[/C][/ROW]
[ROW][C]0.99[/C][C]1784.86384457309[/C][C]103.21601701041[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277281&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277281&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
0.01662.50478353300428.2777633597357
0.02681.77961767630629.5920211752497
0.03702.49976731105634.6512298861293
0.04723.46847247798141.8595850444199
0.05745.05806664433448.9749137761187
0.06767.31671864962754.2122278870679
0.07789.70161049274556.6695811538174
0.08811.40792857043256.2570508840378
0.09831.7084283088153.5634152497057
0.1850.15688055584249.6450423559265
0.11866.65330891940245.6938519417438
0.12881.40172342809242.6869718135767
0.13894.80347368235241.1600159266454
0.14907.3326189201641.1716601919331
0.15919.42959104320942.4218616215424
0.16931.431179663944.422719130746
0.17943.53870656834946.635722594917
0.18955.81761740983948.5758288915565
0.19968.21938251295249.8750839001549
0.2980.61684328336250.3290213682079
0.21992.84465084302849.9038180855378
0.221004.7371080401648.7141933330875
0.231016.1573085193246.9666193724764
0.241027.0142066758344.9073621253863
0.251037.2674872589642.7636195180729
0.261046.9227699706240.7182966398834
0.271056.0210203104338.894439644059
0.281064.6259467276237.3587814353281
0.291072.8121224049536.1327869631879
0.31080.6552673057935.2040039900621
0.311088.225107880434.5365536860816
0.321095.5807176146934.0738639771492
0.331102.7681451150933.7523082360455
0.341109.8202113466633.5050421777479
0.351116.7583655580333.2824146166468
0.361123.596312938733.0549298556882
0.371130.3447988425632.8266334049891
0.381137.0165942047932.6271314269243
0.391143.630541225632.5181841919245
0.41150.2136030202732.5628152818384
0.411156.8002334766932.8105351302465
0.421163.4289608468233.2837319400941
0.431170.1367112151133.9548621781415
0.441176.9519243143634.7604660737958
0.451183.8878111828335.5895693066845
0.461190.9371166283236.3106451415974
0.471198.0694969288136.7937108000456
0.481205.2321751537736.9158374372537
0.491212.3539882317136.59053418855
0.51219.3523868597135.7794041593603
0.511226.1424731948534.4869457859836
0.521232.6468260461932.7795966728472
0.531238.80471590330.7651964528241
0.541244.5793804489228.5892113241447
0.551249.962317225426.4154157717122
0.561254.9740210739824.4085617317092
0.571259.6611779597822.709126216226
0.581264.0909188760521.4255731146664
0.591268.3432192222520.6110293404218
0.61272.5027969995120.2635454569223
0.611276.6518591542320.3349785285279
0.621280.8647765991120.7481448533813
0.631285.205308890421.4251243812289
0.641289.7264689353522.2914968794354
0.651294.4726422815423.3096334072953
0.661299.4832419972424.4547762855133
0.671304.7970079894225.7349652029964
0.681310.4560020345627.169901326345
0.691316.508335705728.7951330696987
0.71323.0086689757730.6451175222025
0.711330.0156024988932.7365940537973
0.721337.5854269226635.0566543557457
0.731345.7624772752337.5305173243631
0.741354.5676243492540.0251477866718
0.751363.9879806685342.3435751145044
0.761373.9721173832344.2688158297381
0.771384.4351726891645.6120308155464
0.781395.276496912246.2889681018601
0.791406.4088078909146.3710755454251
0.81417.7930095410846.1204173703716
0.811429.4685212012445.9567917180473
0.821441.5671983208646.3589644377134
0.831454.3011803030347.696211632171
0.841467.9213571527850.0568902812624
0.851482.651973369653.1683049620559
0.861498.6154167746356.4458313731149
0.871515.7667320203259.1305033543478
0.881533.8580980497760.4595589370103
0.891552.4487421899759.8389418639545
0.91570.965671716956.99187330446
0.911588.8071488919252.0657996592898
0.921605.4709722454245.6308512247481
0.931620.6986779426238.567943406862
0.941634.6783934090531.9281465984138
0.951648.4621856005427.0762223922524
0.961664.8487629351326.6753183744348
0.971689.5142818027436.2501478820861
0.981729.7807287143962.198739981359
0.991784.86384457309103.21601701041


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')