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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 11 Mar 2009 07:43:59 -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/2009/Mar/11/t1236779091wnfoiu8wkpq0j00.htm/, Retrieved Thu, 28 Mar 2024 17:45:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38938, Retrieved Thu, 28 Mar 2024 17:45:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact187
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [amelie barratt- v...] [2009-03-11 13:43:59] [770bd392bad9be4bfacb32bbbd82a4eb] [Current]
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Dataseries X:
461683
731993
522673
572709
382812
942567
802385
272643
992660
672651
122826
493878
801948
742156
612673
662804
572750
202510
652313
492663
292397
382618
872790
913865
221989
842162
142783
112683
862759
392482
602262
542540
982375
112533
622742
883970
562056
322091
832619
82723
872811
562534
112447
342593
422622
682787
602944
84298
942258
722391
662901
3007
452988
12759
942577
52626
882755
22968
433067
904437
812315
32428
53073
403145
243133
313018
32720
922852
192947
693108
33335
944749
962536
292541
953227
193417
73378
433219
962953
632986
333186
733212
463421
495024
752596
22640
123421
243440
623653
413304
852981
613232
493203
253344
803665
574904
132570
132785
393406
333452
583642
893230
272991
373159
133072
653091
373307




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=38938&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=38938&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38938&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 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
0.018635.913227846549090.69165649283
0.0216328.92084908248522.57054712917
0.0323132.39756433698684.98176167622
0.0429248.386360057310518.4633118208
0.0535648.338699694813869.6487227733
0.0643002.991419064417956.3439433444
0.0751514.453965662821819.8652316483
0.0860988.732540166824708.0904309359
0.0970995.302807038126283.1640184781
0.181051.333281427326608.147887926
0.1190771.334107100226050.7251424392
0.1299955.78098170225192.4387640712
0.13108620.59074419824728.7831074313
0.14116975.99047984425307.5736617188
0.15125363.78036130727306.8455427574
0.16134167.59466970930680.4134796331
0.17143718.35947693535000.1014266007
0.18154219.40852928139633.9959859219
0.19165709.57226143643936.4824700274
0.2178070.17237250747399.3179959699
0.21191068.26607546749744.361387595
0.22204418.84936646350943.7072307773
0.23217846.14122078451171.7640681953
0.24231128.41366177850719.7718369662
0.25244119.20966944549898.2527412187
0.26256746.28494361648963.9396027663
0.27268995.24712198448079.4038758767
0.28280886.65463145447312.1842886432
0.29292454.05307189746651.6741743092
0.3303727.65296425446039.4291094181
0.31314725.51684278345406.8514377951
0.32325452.00280454644693.2980892568
0.33335901.94151787843871.7972718272
0.34346068.39339400442958.5402794427
0.35355951.60065393742012.1614721172
0.36365566.81474364141128.3052798082
0.37374949.07326424140419.3175371438
0.38384153.75875477439991.4608803413
0.39393252.80960583739920.600211089
0.4402327.52796936840233.5716286362
0.41411459.7171762940907.3105209257
0.42420723.12286010341877.153433732
0.43430176.78024759543052.6793880671
0.44439861.04906144544337.3606720893
0.45449796.17854860245639.6409516381
0.46459982.55218266646877.246924618
0.47470401.56599168847972.0831153258
0.48481016.43649410148849.346614149
0.49491772.92606096349429.9775216514
0.5502600.671962849637.4032348984
0.51513416.15253765549410.9925766309
0.52524128.10569035848716.7966301913
0.53534645.46927464847569.912794221
0.54544886.93054918546033.8214775846
0.55554790.3756604744227.1100249514
0.56564320.28202953942295.3778367012
0.57573471.52711995640399.9018192116
0.58582269.03602099138681.3380083848
0.59590763.78886288737252.0228063787
0.6599026.55562730436183.7320436498
0.61607141.05711583435511.0303571194
0.62615198.02453681835242.6076922528
0.63623290.9976103935370.8329358278
0.64631513.91157106435882.5371625045
0.65639959.82729804836765.0236226842
0.66648719.74737753338003.6130547306
0.67657880.43807317939571.2264123523
0.68667520.53955628541420.2397032682
0.69677704.87211996843472.1600784577
0.7688477.51962689245617.024576116
0.71699854.77026185547716.6423721165
0.72711819.19632863849618.9592304387
0.73724316.0850787451167.8266179679
0.74737253.1943872152217.3588604200
0.75750504.44298295852649.1026828377
0.76763917.58253086152381.971168611
0.77777325.08903168351388.8079395615
0.78790556.66770085349706.1726465217
0.79803451.4262539847419.9779414594
0.8815868.45586702444651.6027303403
0.81827696.16328737441541.260625917
0.82838862.15313608238242.5197122781
0.83849345.17107255434941.0125297099
0.84859187.63739075531859.9711987416
0.85868502.47103415629251.2577276605
0.86877464.03081452327331.2097036669
0.87886273.73417381526166.1833221309
0.88895098.98062410825571.408076374
0.89903999.53277302525098.3890700286
0.9912874.18386221224167.998258369
0.91921471.19005505722325.4156679278
0.92929490.80603556719518.2364923704
0.93936755.63092075916246.7360123312
0.94943358.92375574813407.3730718272
0.95949700.57146304811736.6554973324
0.96956435.95186274511304.8375558938
0.97964420.63071572512011.9505309124
0.98974363.8239100113331.3439387117
0.99985331.35629205412528.0812375152

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 8635.91322784654 & 9090.69165649283 \tabularnewline
0.02 & 16328.9208490824 & 8522.57054712917 \tabularnewline
0.03 & 23132.3975643369 & 8684.98176167622 \tabularnewline
0.04 & 29248.3863600573 & 10518.4633118208 \tabularnewline
0.05 & 35648.3386996948 & 13869.6487227733 \tabularnewline
0.06 & 43002.9914190644 & 17956.3439433444 \tabularnewline
0.07 & 51514.4539656628 & 21819.8652316483 \tabularnewline
0.08 & 60988.7325401668 & 24708.0904309359 \tabularnewline
0.09 & 70995.3028070381 & 26283.1640184781 \tabularnewline
0.1 & 81051.3332814273 & 26608.147887926 \tabularnewline
0.11 & 90771.3341071002 & 26050.7251424392 \tabularnewline
0.12 & 99955.780981702 & 25192.4387640712 \tabularnewline
0.13 & 108620.590744198 & 24728.7831074313 \tabularnewline
0.14 & 116975.990479844 & 25307.5736617188 \tabularnewline
0.15 & 125363.780361307 & 27306.8455427574 \tabularnewline
0.16 & 134167.594669709 & 30680.4134796331 \tabularnewline
0.17 & 143718.359476935 & 35000.1014266007 \tabularnewline
0.18 & 154219.408529281 & 39633.9959859219 \tabularnewline
0.19 & 165709.572261436 & 43936.4824700274 \tabularnewline
0.2 & 178070.172372507 & 47399.3179959699 \tabularnewline
0.21 & 191068.266075467 & 49744.361387595 \tabularnewline
0.22 & 204418.849366463 & 50943.7072307773 \tabularnewline
0.23 & 217846.141220784 & 51171.7640681953 \tabularnewline
0.24 & 231128.413661778 & 50719.7718369662 \tabularnewline
0.25 & 244119.209669445 & 49898.2527412187 \tabularnewline
0.26 & 256746.284943616 & 48963.9396027663 \tabularnewline
0.27 & 268995.247121984 & 48079.4038758767 \tabularnewline
0.28 & 280886.654631454 & 47312.1842886432 \tabularnewline
0.29 & 292454.053071897 & 46651.6741743092 \tabularnewline
0.3 & 303727.652964254 & 46039.4291094181 \tabularnewline
0.31 & 314725.516842783 & 45406.8514377951 \tabularnewline
0.32 & 325452.002804546 & 44693.2980892568 \tabularnewline
0.33 & 335901.941517878 & 43871.7972718272 \tabularnewline
0.34 & 346068.393394004 & 42958.5402794427 \tabularnewline
0.35 & 355951.600653937 & 42012.1614721172 \tabularnewline
0.36 & 365566.814743641 & 41128.3052798082 \tabularnewline
0.37 & 374949.073264241 & 40419.3175371438 \tabularnewline
0.38 & 384153.758754774 & 39991.4608803413 \tabularnewline
0.39 & 393252.809605837 & 39920.600211089 \tabularnewline
0.4 & 402327.527969368 & 40233.5716286362 \tabularnewline
0.41 & 411459.71717629 & 40907.3105209257 \tabularnewline
0.42 & 420723.122860103 & 41877.153433732 \tabularnewline
0.43 & 430176.780247595 & 43052.6793880671 \tabularnewline
0.44 & 439861.049061445 & 44337.3606720893 \tabularnewline
0.45 & 449796.178548602 & 45639.6409516381 \tabularnewline
0.46 & 459982.552182666 & 46877.246924618 \tabularnewline
0.47 & 470401.565991688 & 47972.0831153258 \tabularnewline
0.48 & 481016.436494101 & 48849.346614149 \tabularnewline
0.49 & 491772.926060963 & 49429.9775216514 \tabularnewline
0.5 & 502600.6719628 & 49637.4032348984 \tabularnewline
0.51 & 513416.152537655 & 49410.9925766309 \tabularnewline
0.52 & 524128.105690358 & 48716.7966301913 \tabularnewline
0.53 & 534645.469274648 & 47569.912794221 \tabularnewline
0.54 & 544886.930549185 & 46033.8214775846 \tabularnewline
0.55 & 554790.37566047 & 44227.1100249514 \tabularnewline
0.56 & 564320.282029539 & 42295.3778367012 \tabularnewline
0.57 & 573471.527119956 & 40399.9018192116 \tabularnewline
0.58 & 582269.036020991 & 38681.3380083848 \tabularnewline
0.59 & 590763.788862887 & 37252.0228063787 \tabularnewline
0.6 & 599026.555627304 & 36183.7320436498 \tabularnewline
0.61 & 607141.057115834 & 35511.0303571194 \tabularnewline
0.62 & 615198.024536818 & 35242.6076922528 \tabularnewline
0.63 & 623290.99761039 & 35370.8329358278 \tabularnewline
0.64 & 631513.911571064 & 35882.5371625045 \tabularnewline
0.65 & 639959.827298048 & 36765.0236226842 \tabularnewline
0.66 & 648719.747377533 & 38003.6130547306 \tabularnewline
0.67 & 657880.438073179 & 39571.2264123523 \tabularnewline
0.68 & 667520.539556285 & 41420.2397032682 \tabularnewline
0.69 & 677704.872119968 & 43472.1600784577 \tabularnewline
0.7 & 688477.519626892 & 45617.024576116 \tabularnewline
0.71 & 699854.770261855 & 47716.6423721165 \tabularnewline
0.72 & 711819.196328638 & 49618.9592304387 \tabularnewline
0.73 & 724316.08507874 & 51167.8266179679 \tabularnewline
0.74 & 737253.19438721 & 52217.3588604200 \tabularnewline
0.75 & 750504.442982958 & 52649.1026828377 \tabularnewline
0.76 & 763917.582530861 & 52381.971168611 \tabularnewline
0.77 & 777325.089031683 & 51388.8079395615 \tabularnewline
0.78 & 790556.667700853 & 49706.1726465217 \tabularnewline
0.79 & 803451.42625398 & 47419.9779414594 \tabularnewline
0.8 & 815868.455867024 & 44651.6027303403 \tabularnewline
0.81 & 827696.163287374 & 41541.260625917 \tabularnewline
0.82 & 838862.153136082 & 38242.5197122781 \tabularnewline
0.83 & 849345.171072554 & 34941.0125297099 \tabularnewline
0.84 & 859187.637390755 & 31859.9711987416 \tabularnewline
0.85 & 868502.471034156 & 29251.2577276605 \tabularnewline
0.86 & 877464.030814523 & 27331.2097036669 \tabularnewline
0.87 & 886273.734173815 & 26166.1833221309 \tabularnewline
0.88 & 895098.980624108 & 25571.408076374 \tabularnewline
0.89 & 903999.532773025 & 25098.3890700286 \tabularnewline
0.9 & 912874.183862212 & 24167.998258369 \tabularnewline
0.91 & 921471.190055057 & 22325.4156679278 \tabularnewline
0.92 & 929490.806035567 & 19518.2364923704 \tabularnewline
0.93 & 936755.630920759 & 16246.7360123312 \tabularnewline
0.94 & 943358.923755748 & 13407.3730718272 \tabularnewline
0.95 & 949700.571463048 & 11736.6554973324 \tabularnewline
0.96 & 956435.951862745 & 11304.8375558938 \tabularnewline
0.97 & 964420.630715725 & 12011.9505309124 \tabularnewline
0.98 & 974363.82391001 & 13331.3439387117 \tabularnewline
0.99 & 985331.356292054 & 12528.0812375152 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38938&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]8635.91322784654[/C][C]9090.69165649283[/C][/ROW]
[ROW][C]0.02[/C][C]16328.9208490824[/C][C]8522.57054712917[/C][/ROW]
[ROW][C]0.03[/C][C]23132.3975643369[/C][C]8684.98176167622[/C][/ROW]
[ROW][C]0.04[/C][C]29248.3863600573[/C][C]10518.4633118208[/C][/ROW]
[ROW][C]0.05[/C][C]35648.3386996948[/C][C]13869.6487227733[/C][/ROW]
[ROW][C]0.06[/C][C]43002.9914190644[/C][C]17956.3439433444[/C][/ROW]
[ROW][C]0.07[/C][C]51514.4539656628[/C][C]21819.8652316483[/C][/ROW]
[ROW][C]0.08[/C][C]60988.7325401668[/C][C]24708.0904309359[/C][/ROW]
[ROW][C]0.09[/C][C]70995.3028070381[/C][C]26283.1640184781[/C][/ROW]
[ROW][C]0.1[/C][C]81051.3332814273[/C][C]26608.147887926[/C][/ROW]
[ROW][C]0.11[/C][C]90771.3341071002[/C][C]26050.7251424392[/C][/ROW]
[ROW][C]0.12[/C][C]99955.780981702[/C][C]25192.4387640712[/C][/ROW]
[ROW][C]0.13[/C][C]108620.590744198[/C][C]24728.7831074313[/C][/ROW]
[ROW][C]0.14[/C][C]116975.990479844[/C][C]25307.5736617188[/C][/ROW]
[ROW][C]0.15[/C][C]125363.780361307[/C][C]27306.8455427574[/C][/ROW]
[ROW][C]0.16[/C][C]134167.594669709[/C][C]30680.4134796331[/C][/ROW]
[ROW][C]0.17[/C][C]143718.359476935[/C][C]35000.1014266007[/C][/ROW]
[ROW][C]0.18[/C][C]154219.408529281[/C][C]39633.9959859219[/C][/ROW]
[ROW][C]0.19[/C][C]165709.572261436[/C][C]43936.4824700274[/C][/ROW]
[ROW][C]0.2[/C][C]178070.172372507[/C][C]47399.3179959699[/C][/ROW]
[ROW][C]0.21[/C][C]191068.266075467[/C][C]49744.361387595[/C][/ROW]
[ROW][C]0.22[/C][C]204418.849366463[/C][C]50943.7072307773[/C][/ROW]
[ROW][C]0.23[/C][C]217846.141220784[/C][C]51171.7640681953[/C][/ROW]
[ROW][C]0.24[/C][C]231128.413661778[/C][C]50719.7718369662[/C][/ROW]
[ROW][C]0.25[/C][C]244119.209669445[/C][C]49898.2527412187[/C][/ROW]
[ROW][C]0.26[/C][C]256746.284943616[/C][C]48963.9396027663[/C][/ROW]
[ROW][C]0.27[/C][C]268995.247121984[/C][C]48079.4038758767[/C][/ROW]
[ROW][C]0.28[/C][C]280886.654631454[/C][C]47312.1842886432[/C][/ROW]
[ROW][C]0.29[/C][C]292454.053071897[/C][C]46651.6741743092[/C][/ROW]
[ROW][C]0.3[/C][C]303727.652964254[/C][C]46039.4291094181[/C][/ROW]
[ROW][C]0.31[/C][C]314725.516842783[/C][C]45406.8514377951[/C][/ROW]
[ROW][C]0.32[/C][C]325452.002804546[/C][C]44693.2980892568[/C][/ROW]
[ROW][C]0.33[/C][C]335901.941517878[/C][C]43871.7972718272[/C][/ROW]
[ROW][C]0.34[/C][C]346068.393394004[/C][C]42958.5402794427[/C][/ROW]
[ROW][C]0.35[/C][C]355951.600653937[/C][C]42012.1614721172[/C][/ROW]
[ROW][C]0.36[/C][C]365566.814743641[/C][C]41128.3052798082[/C][/ROW]
[ROW][C]0.37[/C][C]374949.073264241[/C][C]40419.3175371438[/C][/ROW]
[ROW][C]0.38[/C][C]384153.758754774[/C][C]39991.4608803413[/C][/ROW]
[ROW][C]0.39[/C][C]393252.809605837[/C][C]39920.600211089[/C][/ROW]
[ROW][C]0.4[/C][C]402327.527969368[/C][C]40233.5716286362[/C][/ROW]
[ROW][C]0.41[/C][C]411459.71717629[/C][C]40907.3105209257[/C][/ROW]
[ROW][C]0.42[/C][C]420723.122860103[/C][C]41877.153433732[/C][/ROW]
[ROW][C]0.43[/C][C]430176.780247595[/C][C]43052.6793880671[/C][/ROW]
[ROW][C]0.44[/C][C]439861.049061445[/C][C]44337.3606720893[/C][/ROW]
[ROW][C]0.45[/C][C]449796.178548602[/C][C]45639.6409516381[/C][/ROW]
[ROW][C]0.46[/C][C]459982.552182666[/C][C]46877.246924618[/C][/ROW]
[ROW][C]0.47[/C][C]470401.565991688[/C][C]47972.0831153258[/C][/ROW]
[ROW][C]0.48[/C][C]481016.436494101[/C][C]48849.346614149[/C][/ROW]
[ROW][C]0.49[/C][C]491772.926060963[/C][C]49429.9775216514[/C][/ROW]
[ROW][C]0.5[/C][C]502600.6719628[/C][C]49637.4032348984[/C][/ROW]
[ROW][C]0.51[/C][C]513416.152537655[/C][C]49410.9925766309[/C][/ROW]
[ROW][C]0.52[/C][C]524128.105690358[/C][C]48716.7966301913[/C][/ROW]
[ROW][C]0.53[/C][C]534645.469274648[/C][C]47569.912794221[/C][/ROW]
[ROW][C]0.54[/C][C]544886.930549185[/C][C]46033.8214775846[/C][/ROW]
[ROW][C]0.55[/C][C]554790.37566047[/C][C]44227.1100249514[/C][/ROW]
[ROW][C]0.56[/C][C]564320.282029539[/C][C]42295.3778367012[/C][/ROW]
[ROW][C]0.57[/C][C]573471.527119956[/C][C]40399.9018192116[/C][/ROW]
[ROW][C]0.58[/C][C]582269.036020991[/C][C]38681.3380083848[/C][/ROW]
[ROW][C]0.59[/C][C]590763.788862887[/C][C]37252.0228063787[/C][/ROW]
[ROW][C]0.6[/C][C]599026.555627304[/C][C]36183.7320436498[/C][/ROW]
[ROW][C]0.61[/C][C]607141.057115834[/C][C]35511.0303571194[/C][/ROW]
[ROW][C]0.62[/C][C]615198.024536818[/C][C]35242.6076922528[/C][/ROW]
[ROW][C]0.63[/C][C]623290.99761039[/C][C]35370.8329358278[/C][/ROW]
[ROW][C]0.64[/C][C]631513.911571064[/C][C]35882.5371625045[/C][/ROW]
[ROW][C]0.65[/C][C]639959.827298048[/C][C]36765.0236226842[/C][/ROW]
[ROW][C]0.66[/C][C]648719.747377533[/C][C]38003.6130547306[/C][/ROW]
[ROW][C]0.67[/C][C]657880.438073179[/C][C]39571.2264123523[/C][/ROW]
[ROW][C]0.68[/C][C]667520.539556285[/C][C]41420.2397032682[/C][/ROW]
[ROW][C]0.69[/C][C]677704.872119968[/C][C]43472.1600784577[/C][/ROW]
[ROW][C]0.7[/C][C]688477.519626892[/C][C]45617.024576116[/C][/ROW]
[ROW][C]0.71[/C][C]699854.770261855[/C][C]47716.6423721165[/C][/ROW]
[ROW][C]0.72[/C][C]711819.196328638[/C][C]49618.9592304387[/C][/ROW]
[ROW][C]0.73[/C][C]724316.08507874[/C][C]51167.8266179679[/C][/ROW]
[ROW][C]0.74[/C][C]737253.19438721[/C][C]52217.3588604200[/C][/ROW]
[ROW][C]0.75[/C][C]750504.442982958[/C][C]52649.1026828377[/C][/ROW]
[ROW][C]0.76[/C][C]763917.582530861[/C][C]52381.971168611[/C][/ROW]
[ROW][C]0.77[/C][C]777325.089031683[/C][C]51388.8079395615[/C][/ROW]
[ROW][C]0.78[/C][C]790556.667700853[/C][C]49706.1726465217[/C][/ROW]
[ROW][C]0.79[/C][C]803451.42625398[/C][C]47419.9779414594[/C][/ROW]
[ROW][C]0.8[/C][C]815868.455867024[/C][C]44651.6027303403[/C][/ROW]
[ROW][C]0.81[/C][C]827696.163287374[/C][C]41541.260625917[/C][/ROW]
[ROW][C]0.82[/C][C]838862.153136082[/C][C]38242.5197122781[/C][/ROW]
[ROW][C]0.83[/C][C]849345.171072554[/C][C]34941.0125297099[/C][/ROW]
[ROW][C]0.84[/C][C]859187.637390755[/C][C]31859.9711987416[/C][/ROW]
[ROW][C]0.85[/C][C]868502.471034156[/C][C]29251.2577276605[/C][/ROW]
[ROW][C]0.86[/C][C]877464.030814523[/C][C]27331.2097036669[/C][/ROW]
[ROW][C]0.87[/C][C]886273.734173815[/C][C]26166.1833221309[/C][/ROW]
[ROW][C]0.88[/C][C]895098.980624108[/C][C]25571.408076374[/C][/ROW]
[ROW][C]0.89[/C][C]903999.532773025[/C][C]25098.3890700286[/C][/ROW]
[ROW][C]0.9[/C][C]912874.183862212[/C][C]24167.998258369[/C][/ROW]
[ROW][C]0.91[/C][C]921471.190055057[/C][C]22325.4156679278[/C][/ROW]
[ROW][C]0.92[/C][C]929490.806035567[/C][C]19518.2364923704[/C][/ROW]
[ROW][C]0.93[/C][C]936755.630920759[/C][C]16246.7360123312[/C][/ROW]
[ROW][C]0.94[/C][C]943358.923755748[/C][C]13407.3730718272[/C][/ROW]
[ROW][C]0.95[/C][C]949700.571463048[/C][C]11736.6554973324[/C][/ROW]
[ROW][C]0.96[/C][C]956435.951862745[/C][C]11304.8375558938[/C][/ROW]
[ROW][C]0.97[/C][C]964420.630715725[/C][C]12011.9505309124[/C][/ROW]
[ROW][C]0.98[/C][C]974363.82391001[/C][C]13331.3439387117[/C][/ROW]
[ROW][C]0.99[/C][C]985331.356292054[/C][C]12528.0812375152[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38938&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38938&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
0.018635.913227846549090.69165649283
0.0216328.92084908248522.57054712917
0.0323132.39756433698684.98176167622
0.0429248.386360057310518.4633118208
0.0535648.338699694813869.6487227733
0.0643002.991419064417956.3439433444
0.0751514.453965662821819.8652316483
0.0860988.732540166824708.0904309359
0.0970995.302807038126283.1640184781
0.181051.333281427326608.147887926
0.1190771.334107100226050.7251424392
0.1299955.78098170225192.4387640712
0.13108620.59074419824728.7831074313
0.14116975.99047984425307.5736617188
0.15125363.78036130727306.8455427574
0.16134167.59466970930680.4134796331
0.17143718.35947693535000.1014266007
0.18154219.40852928139633.9959859219
0.19165709.57226143643936.4824700274
0.2178070.17237250747399.3179959699
0.21191068.26607546749744.361387595
0.22204418.84936646350943.7072307773
0.23217846.14122078451171.7640681953
0.24231128.41366177850719.7718369662
0.25244119.20966944549898.2527412187
0.26256746.28494361648963.9396027663
0.27268995.24712198448079.4038758767
0.28280886.65463145447312.1842886432
0.29292454.05307189746651.6741743092
0.3303727.65296425446039.4291094181
0.31314725.51684278345406.8514377951
0.32325452.00280454644693.2980892568
0.33335901.94151787843871.7972718272
0.34346068.39339400442958.5402794427
0.35355951.60065393742012.1614721172
0.36365566.81474364141128.3052798082
0.37374949.07326424140419.3175371438
0.38384153.75875477439991.4608803413
0.39393252.80960583739920.600211089
0.4402327.52796936840233.5716286362
0.41411459.7171762940907.3105209257
0.42420723.12286010341877.153433732
0.43430176.78024759543052.6793880671
0.44439861.04906144544337.3606720893
0.45449796.17854860245639.6409516381
0.46459982.55218266646877.246924618
0.47470401.56599168847972.0831153258
0.48481016.43649410148849.346614149
0.49491772.92606096349429.9775216514
0.5502600.671962849637.4032348984
0.51513416.15253765549410.9925766309
0.52524128.10569035848716.7966301913
0.53534645.46927464847569.912794221
0.54544886.93054918546033.8214775846
0.55554790.3756604744227.1100249514
0.56564320.28202953942295.3778367012
0.57573471.52711995640399.9018192116
0.58582269.03602099138681.3380083848
0.59590763.78886288737252.0228063787
0.6599026.55562730436183.7320436498
0.61607141.05711583435511.0303571194
0.62615198.02453681835242.6076922528
0.63623290.9976103935370.8329358278
0.64631513.91157106435882.5371625045
0.65639959.82729804836765.0236226842
0.66648719.74737753338003.6130547306
0.67657880.43807317939571.2264123523
0.68667520.53955628541420.2397032682
0.69677704.87211996843472.1600784577
0.7688477.51962689245617.024576116
0.71699854.77026185547716.6423721165
0.72711819.19632863849618.9592304387
0.73724316.0850787451167.8266179679
0.74737253.1943872152217.3588604200
0.75750504.44298295852649.1026828377
0.76763917.58253086152381.971168611
0.77777325.08903168351388.8079395615
0.78790556.66770085349706.1726465217
0.79803451.4262539847419.9779414594
0.8815868.45586702444651.6027303403
0.81827696.16328737441541.260625917
0.82838862.15313608238242.5197122781
0.83849345.17107255434941.0125297099
0.84859187.63739075531859.9711987416
0.85868502.47103415629251.2577276605
0.86877464.03081452327331.2097036669
0.87886273.73417381526166.1833221309
0.88895098.98062410825571.408076374
0.89903999.53277302525098.3890700286
0.9912874.18386221224167.998258369
0.91921471.19005505722325.4156679278
0.92929490.80603556719518.2364923704
0.93936755.63092075916246.7360123312
0.94943358.92375574813407.3730718272
0.95949700.57146304811736.6554973324
0.96956435.95186274511304.8375558938
0.97964420.63071572512011.9505309124
0.98974363.8239100113331.3439387117
0.99985331.35629205412528.0812375152



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')