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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, 03 Oct 2013 13:41:40 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/03/t13808221370n16f86cqgy3iu1.htm/, Retrieved Mon, 06 May 2024 13:32:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212951, Retrieved Mon, 06 May 2024 13:32:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact104

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] [] [2013-10-03 17:41:40] [da6056b86d6cc6ac74ca244744435ec9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
86.86
86.79
82.52
86.87
81.62
82.66
89.87
92.04
79.74
77.75
79.12
76.37
75.01
77.6
77.81
81.7
76.47
74.72
84.43
86.72
70.99
75.43
74.14
73.3
71.97
69.27
74.13
76.4
72.26
72.1
87.82
91.62
82.69
85.76
86.87
93.09
83.73
84.49
87.37
89.13
83.2
83.77
93.68
93.09
88.59
87.88
87.89
89.38
89.13
89.58
90.22
91.44
91.04
92.1
97.54
99.12
100
99.68
100.08
99.9
99.63
99.45
99.63
99.46
96.91
97.65
102.1
103.57
104.59
104.79
101.31
104.8
104.56
104.15
102.73
101.86
101.9
102.33
105.71
106.1
102.81
103.23
102.35
104.11

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212951&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212951&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212951&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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0169.89796350036561.4220296568966
0.0270.74364315012981.09037147647683
0.0371.47118124504530.882794676134174
0.0472.03360344792640.849391719997663
0.0572.50295168959820.931983209295143
0.0672.94089783842911.0320083664176
0.0773.37162597308231.09608616609522
0.0873.7960345914861.12246189968302
0.0974.20902730039541.13336106807506
0.174.60859825715861.15054500764317
0.1174.9974242082951.18419489283737
0.1275.3810212007471.23547460008625
0.1375.76569485474131.303674384798
0.1476.15749161872981.38947224579892
0.1576.56191822644231.49461515089487
0.1676.98377805023231.61815092608131
0.1777.42672129214531.75483880660548
0.1877.89252321170221.89429063458007
0.1978.38038221244212.02277503630916
0.278.886581884792.12576724159992
0.2179.40473688686262.19161463414476
0.2279.92663703057042.21437131392736
0.2380.4435075812062.19445193514392
0.2480.94738027533762.13902826512495
0.2581.43224801213112.06038857563176
0.2681.89475082063441.97287567924241
0.2782.33427809514781.88995894654804
0.2882.75252505372951.82154318650172
0.2983.15266559781191.77233384411617
0.383.53837078725471.74129369067893
0.3183.91290461358621.72291730380533
0.3284.27847756434551.70923859848937
0.3384.63595529705251.69208601371107
0.3484.98492884642841.66534945866068
0.3585.32407497080081.62540769653605
0.3685.65168460190741.57242865655513
0.3785.96622023002741.50976347438728
0.3886.26677822476071.44225621842744
0.3986.55337191817551.3764409710632
0.486.82700370020261.31816902855633
0.4187.08954580760311.27219228460566
0.4287.3434881107541.24105963710615
0.4387.59162979769791.22524695392436
0.4487.83678925329571.22342836199329
0.4588.081587132471.23354088093683
0.4688.3283297933051.25331054770486
0.4788.57899285381711.28083974769301
0.4888.83528469857561.31502804532743
0.4989.09876059524521.35565666227603
0.589.37095883711321.40298961819836
0.5189.65353690910141.45819615461338
0.5289.94839260905121.52273879309434
0.5390.25775772712171.59820611001854
0.5490.58424844295611.6871521547973
0.5590.93084891336761.79137508118168
0.5691.30079778051111.91254787804889
0.5791.69734824541272.05063997417776
0.5892.12338643769682.20291929117561
0.5992.58092160592462.36405044684868
0.693.07050096329412.52489292914224
0.6193.59064209262242.67317102846956
0.6294.13740368237922.79500934656864
0.6394.70421890453272.8764296684819
0.6495.28208807574852.90531977621718
0.6595.86016990278392.87395242807172
0.6696.42673414042032.78007685304217
0.6796.97035999247652.62841134756781
0.6897.48120299898152.42934582841447
0.6997.95212385969782.19909855345484
0.798.37948337462971.95660345043105
0.7198.76345702103641.72186975196743
0.7299.10780136466031.51276027693119
0.7399.41909842512521.34354836426887
0.7499.70559750405331.22159340405857
0.7599.97585140295121.14662901852054
0.76100.2373911510091.10964072438145
0.77100.4956880767671.09607993896737
0.78100.7536063520921.09010240373655
0.79101.011453626141.07818305664161
0.8101.2676057123931.05208245902416
0.81101.5195415245111.00965632804591
0.82101.7650140075140.954881147487656
0.83102.0030371370140.895606964915992
0.84102.2344080930360.841699200801482
0.85102.4616028959660.801045821517935
0.86102.6880545568390.777051522629756
0.87102.9170017026050.766817826432623
0.88103.1502365064280.762021489558113
0.89103.387145558670.751602145728511
0.9103.6244086475950.725379990469046
0.91103.8566203434530.677340176118802
0.92104.0779995087470.607766508778036
0.93104.285311680050.524760098862713
0.94104.4819711704670.445572973297092
0.95104.6823071761410.399751896473649
0.96104.9122693128560.422859935904812
0.97105.1992903594420.506566143254058
0.98105.5448247173560.559150837503821
0.99105.8872384022120.489413334438173

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 69.8979635003656 & 1.4220296568966 \tabularnewline
0.02 & 70.7436431501298 & 1.09037147647683 \tabularnewline
0.03 & 71.4711812450453 & 0.882794676134174 \tabularnewline
0.04 & 72.0336034479264 & 0.849391719997663 \tabularnewline
0.05 & 72.5029516895982 & 0.931983209295143 \tabularnewline
0.06 & 72.9408978384291 & 1.0320083664176 \tabularnewline
0.07 & 73.3716259730823 & 1.09608616609522 \tabularnewline
0.08 & 73.796034591486 & 1.12246189968302 \tabularnewline
0.09 & 74.2090273003954 & 1.13336106807506 \tabularnewline
0.1 & 74.6085982571586 & 1.15054500764317 \tabularnewline
0.11 & 74.997424208295 & 1.18419489283737 \tabularnewline
0.12 & 75.381021200747 & 1.23547460008625 \tabularnewline
0.13 & 75.7656948547413 & 1.303674384798 \tabularnewline
0.14 & 76.1574916187298 & 1.38947224579892 \tabularnewline
0.15 & 76.5619182264423 & 1.49461515089487 \tabularnewline
0.16 & 76.9837780502323 & 1.61815092608131 \tabularnewline
0.17 & 77.4267212921453 & 1.75483880660548 \tabularnewline
0.18 & 77.8925232117022 & 1.89429063458007 \tabularnewline
0.19 & 78.3803822124421 & 2.02277503630916 \tabularnewline
0.2 & 78.88658188479 & 2.12576724159992 \tabularnewline
0.21 & 79.4047368868626 & 2.19161463414476 \tabularnewline
0.22 & 79.9266370305704 & 2.21437131392736 \tabularnewline
0.23 & 80.443507581206 & 2.19445193514392 \tabularnewline
0.24 & 80.9473802753376 & 2.13902826512495 \tabularnewline
0.25 & 81.4322480121311 & 2.06038857563176 \tabularnewline
0.26 & 81.8947508206344 & 1.97287567924241 \tabularnewline
0.27 & 82.3342780951478 & 1.88995894654804 \tabularnewline
0.28 & 82.7525250537295 & 1.82154318650172 \tabularnewline
0.29 & 83.1526655978119 & 1.77233384411617 \tabularnewline
0.3 & 83.5383707872547 & 1.74129369067893 \tabularnewline
0.31 & 83.9129046135862 & 1.72291730380533 \tabularnewline
0.32 & 84.2784775643455 & 1.70923859848937 \tabularnewline
0.33 & 84.6359552970525 & 1.69208601371107 \tabularnewline
0.34 & 84.9849288464284 & 1.66534945866068 \tabularnewline
0.35 & 85.3240749708008 & 1.62540769653605 \tabularnewline
0.36 & 85.6516846019074 & 1.57242865655513 \tabularnewline
0.37 & 85.9662202300274 & 1.50976347438728 \tabularnewline
0.38 & 86.2667782247607 & 1.44225621842744 \tabularnewline
0.39 & 86.5533719181755 & 1.3764409710632 \tabularnewline
0.4 & 86.8270037002026 & 1.31816902855633 \tabularnewline
0.41 & 87.0895458076031 & 1.27219228460566 \tabularnewline
0.42 & 87.343488110754 & 1.24105963710615 \tabularnewline
0.43 & 87.5916297976979 & 1.22524695392436 \tabularnewline
0.44 & 87.8367892532957 & 1.22342836199329 \tabularnewline
0.45 & 88.08158713247 & 1.23354088093683 \tabularnewline
0.46 & 88.328329793305 & 1.25331054770486 \tabularnewline
0.47 & 88.5789928538171 & 1.28083974769301 \tabularnewline
0.48 & 88.8352846985756 & 1.31502804532743 \tabularnewline
0.49 & 89.0987605952452 & 1.35565666227603 \tabularnewline
0.5 & 89.3709588371132 & 1.40298961819836 \tabularnewline
0.51 & 89.6535369091014 & 1.45819615461338 \tabularnewline
0.52 & 89.9483926090512 & 1.52273879309434 \tabularnewline
0.53 & 90.2577577271217 & 1.59820611001854 \tabularnewline
0.54 & 90.5842484429561 & 1.6871521547973 \tabularnewline
0.55 & 90.9308489133676 & 1.79137508118168 \tabularnewline
0.56 & 91.3007977805111 & 1.91254787804889 \tabularnewline
0.57 & 91.6973482454127 & 2.05063997417776 \tabularnewline
0.58 & 92.1233864376968 & 2.20291929117561 \tabularnewline
0.59 & 92.5809216059246 & 2.36405044684868 \tabularnewline
0.6 & 93.0705009632941 & 2.52489292914224 \tabularnewline
0.61 & 93.5906420926224 & 2.67317102846956 \tabularnewline
0.62 & 94.1374036823792 & 2.79500934656864 \tabularnewline
0.63 & 94.7042189045327 & 2.8764296684819 \tabularnewline
0.64 & 95.2820880757485 & 2.90531977621718 \tabularnewline
0.65 & 95.8601699027839 & 2.87395242807172 \tabularnewline
0.66 & 96.4267341404203 & 2.78007685304217 \tabularnewline
0.67 & 96.9703599924765 & 2.62841134756781 \tabularnewline
0.68 & 97.4812029989815 & 2.42934582841447 \tabularnewline
0.69 & 97.9521238596978 & 2.19909855345484 \tabularnewline
0.7 & 98.3794833746297 & 1.95660345043105 \tabularnewline
0.71 & 98.7634570210364 & 1.72186975196743 \tabularnewline
0.72 & 99.1078013646603 & 1.51276027693119 \tabularnewline
0.73 & 99.4190984251252 & 1.34354836426887 \tabularnewline
0.74 & 99.7055975040533 & 1.22159340405857 \tabularnewline
0.75 & 99.9758514029512 & 1.14662901852054 \tabularnewline
0.76 & 100.237391151009 & 1.10964072438145 \tabularnewline
0.77 & 100.495688076767 & 1.09607993896737 \tabularnewline
0.78 & 100.753606352092 & 1.09010240373655 \tabularnewline
0.79 & 101.01145362614 & 1.07818305664161 \tabularnewline
0.8 & 101.267605712393 & 1.05208245902416 \tabularnewline
0.81 & 101.519541524511 & 1.00965632804591 \tabularnewline
0.82 & 101.765014007514 & 0.954881147487656 \tabularnewline
0.83 & 102.003037137014 & 0.895606964915992 \tabularnewline
0.84 & 102.234408093036 & 0.841699200801482 \tabularnewline
0.85 & 102.461602895966 & 0.801045821517935 \tabularnewline
0.86 & 102.688054556839 & 0.777051522629756 \tabularnewline
0.87 & 102.917001702605 & 0.766817826432623 \tabularnewline
0.88 & 103.150236506428 & 0.762021489558113 \tabularnewline
0.89 & 103.38714555867 & 0.751602145728511 \tabularnewline
0.9 & 103.624408647595 & 0.725379990469046 \tabularnewline
0.91 & 103.856620343453 & 0.677340176118802 \tabularnewline
0.92 & 104.077999508747 & 0.607766508778036 \tabularnewline
0.93 & 104.28531168005 & 0.524760098862713 \tabularnewline
0.94 & 104.481971170467 & 0.445572973297092 \tabularnewline
0.95 & 104.682307176141 & 0.399751896473649 \tabularnewline
0.96 & 104.912269312856 & 0.422859935904812 \tabularnewline
0.97 & 105.199290359442 & 0.506566143254058 \tabularnewline
0.98 & 105.544824717356 & 0.559150837503821 \tabularnewline
0.99 & 105.887238402212 & 0.489413334438173 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212951&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]69.8979635003656[/C][C]1.4220296568966[/C][/ROW]
[ROW][C]0.02[/C][C]70.7436431501298[/C][C]1.09037147647683[/C][/ROW]
[ROW][C]0.03[/C][C]71.4711812450453[/C][C]0.882794676134174[/C][/ROW]
[ROW][C]0.04[/C][C]72.0336034479264[/C][C]0.849391719997663[/C][/ROW]
[ROW][C]0.05[/C][C]72.5029516895982[/C][C]0.931983209295143[/C][/ROW]
[ROW][C]0.06[/C][C]72.9408978384291[/C][C]1.0320083664176[/C][/ROW]
[ROW][C]0.07[/C][C]73.3716259730823[/C][C]1.09608616609522[/C][/ROW]
[ROW][C]0.08[/C][C]73.796034591486[/C][C]1.12246189968302[/C][/ROW]
[ROW][C]0.09[/C][C]74.2090273003954[/C][C]1.13336106807506[/C][/ROW]
[ROW][C]0.1[/C][C]74.6085982571586[/C][C]1.15054500764317[/C][/ROW]
[ROW][C]0.11[/C][C]74.997424208295[/C][C]1.18419489283737[/C][/ROW]
[ROW][C]0.12[/C][C]75.381021200747[/C][C]1.23547460008625[/C][/ROW]
[ROW][C]0.13[/C][C]75.7656948547413[/C][C]1.303674384798[/C][/ROW]
[ROW][C]0.14[/C][C]76.1574916187298[/C][C]1.38947224579892[/C][/ROW]
[ROW][C]0.15[/C][C]76.5619182264423[/C][C]1.49461515089487[/C][/ROW]
[ROW][C]0.16[/C][C]76.9837780502323[/C][C]1.61815092608131[/C][/ROW]
[ROW][C]0.17[/C][C]77.4267212921453[/C][C]1.75483880660548[/C][/ROW]
[ROW][C]0.18[/C][C]77.8925232117022[/C][C]1.89429063458007[/C][/ROW]
[ROW][C]0.19[/C][C]78.3803822124421[/C][C]2.02277503630916[/C][/ROW]
[ROW][C]0.2[/C][C]78.88658188479[/C][C]2.12576724159992[/C][/ROW]
[ROW][C]0.21[/C][C]79.4047368868626[/C][C]2.19161463414476[/C][/ROW]
[ROW][C]0.22[/C][C]79.9266370305704[/C][C]2.21437131392736[/C][/ROW]
[ROW][C]0.23[/C][C]80.443507581206[/C][C]2.19445193514392[/C][/ROW]
[ROW][C]0.24[/C][C]80.9473802753376[/C][C]2.13902826512495[/C][/ROW]
[ROW][C]0.25[/C][C]81.4322480121311[/C][C]2.06038857563176[/C][/ROW]
[ROW][C]0.26[/C][C]81.8947508206344[/C][C]1.97287567924241[/C][/ROW]
[ROW][C]0.27[/C][C]82.3342780951478[/C][C]1.88995894654804[/C][/ROW]
[ROW][C]0.28[/C][C]82.7525250537295[/C][C]1.82154318650172[/C][/ROW]
[ROW][C]0.29[/C][C]83.1526655978119[/C][C]1.77233384411617[/C][/ROW]
[ROW][C]0.3[/C][C]83.5383707872547[/C][C]1.74129369067893[/C][/ROW]
[ROW][C]0.31[/C][C]83.9129046135862[/C][C]1.72291730380533[/C][/ROW]
[ROW][C]0.32[/C][C]84.2784775643455[/C][C]1.70923859848937[/C][/ROW]
[ROW][C]0.33[/C][C]84.6359552970525[/C][C]1.69208601371107[/C][/ROW]
[ROW][C]0.34[/C][C]84.9849288464284[/C][C]1.66534945866068[/C][/ROW]
[ROW][C]0.35[/C][C]85.3240749708008[/C][C]1.62540769653605[/C][/ROW]
[ROW][C]0.36[/C][C]85.6516846019074[/C][C]1.57242865655513[/C][/ROW]
[ROW][C]0.37[/C][C]85.9662202300274[/C][C]1.50976347438728[/C][/ROW]
[ROW][C]0.38[/C][C]86.2667782247607[/C][C]1.44225621842744[/C][/ROW]
[ROW][C]0.39[/C][C]86.5533719181755[/C][C]1.3764409710632[/C][/ROW]
[ROW][C]0.4[/C][C]86.8270037002026[/C][C]1.31816902855633[/C][/ROW]
[ROW][C]0.41[/C][C]87.0895458076031[/C][C]1.27219228460566[/C][/ROW]
[ROW][C]0.42[/C][C]87.343488110754[/C][C]1.24105963710615[/C][/ROW]
[ROW][C]0.43[/C][C]87.5916297976979[/C][C]1.22524695392436[/C][/ROW]
[ROW][C]0.44[/C][C]87.8367892532957[/C][C]1.22342836199329[/C][/ROW]
[ROW][C]0.45[/C][C]88.08158713247[/C][C]1.23354088093683[/C][/ROW]
[ROW][C]0.46[/C][C]88.328329793305[/C][C]1.25331054770486[/C][/ROW]
[ROW][C]0.47[/C][C]88.5789928538171[/C][C]1.28083974769301[/C][/ROW]
[ROW][C]0.48[/C][C]88.8352846985756[/C][C]1.31502804532743[/C][/ROW]
[ROW][C]0.49[/C][C]89.0987605952452[/C][C]1.35565666227603[/C][/ROW]
[ROW][C]0.5[/C][C]89.3709588371132[/C][C]1.40298961819836[/C][/ROW]
[ROW][C]0.51[/C][C]89.6535369091014[/C][C]1.45819615461338[/C][/ROW]
[ROW][C]0.52[/C][C]89.9483926090512[/C][C]1.52273879309434[/C][/ROW]
[ROW][C]0.53[/C][C]90.2577577271217[/C][C]1.59820611001854[/C][/ROW]
[ROW][C]0.54[/C][C]90.5842484429561[/C][C]1.6871521547973[/C][/ROW]
[ROW][C]0.55[/C][C]90.9308489133676[/C][C]1.79137508118168[/C][/ROW]
[ROW][C]0.56[/C][C]91.3007977805111[/C][C]1.91254787804889[/C][/ROW]
[ROW][C]0.57[/C][C]91.6973482454127[/C][C]2.05063997417776[/C][/ROW]
[ROW][C]0.58[/C][C]92.1233864376968[/C][C]2.20291929117561[/C][/ROW]
[ROW][C]0.59[/C][C]92.5809216059246[/C][C]2.36405044684868[/C][/ROW]
[ROW][C]0.6[/C][C]93.0705009632941[/C][C]2.52489292914224[/C][/ROW]
[ROW][C]0.61[/C][C]93.5906420926224[/C][C]2.67317102846956[/C][/ROW]
[ROW][C]0.62[/C][C]94.1374036823792[/C][C]2.79500934656864[/C][/ROW]
[ROW][C]0.63[/C][C]94.7042189045327[/C][C]2.8764296684819[/C][/ROW]
[ROW][C]0.64[/C][C]95.2820880757485[/C][C]2.90531977621718[/C][/ROW]
[ROW][C]0.65[/C][C]95.8601699027839[/C][C]2.87395242807172[/C][/ROW]
[ROW][C]0.66[/C][C]96.4267341404203[/C][C]2.78007685304217[/C][/ROW]
[ROW][C]0.67[/C][C]96.9703599924765[/C][C]2.62841134756781[/C][/ROW]
[ROW][C]0.68[/C][C]97.4812029989815[/C][C]2.42934582841447[/C][/ROW]
[ROW][C]0.69[/C][C]97.9521238596978[/C][C]2.19909855345484[/C][/ROW]
[ROW][C]0.7[/C][C]98.3794833746297[/C][C]1.95660345043105[/C][/ROW]
[ROW][C]0.71[/C][C]98.7634570210364[/C][C]1.72186975196743[/C][/ROW]
[ROW][C]0.72[/C][C]99.1078013646603[/C][C]1.51276027693119[/C][/ROW]
[ROW][C]0.73[/C][C]99.4190984251252[/C][C]1.34354836426887[/C][/ROW]
[ROW][C]0.74[/C][C]99.7055975040533[/C][C]1.22159340405857[/C][/ROW]
[ROW][C]0.75[/C][C]99.9758514029512[/C][C]1.14662901852054[/C][/ROW]
[ROW][C]0.76[/C][C]100.237391151009[/C][C]1.10964072438145[/C][/ROW]
[ROW][C]0.77[/C][C]100.495688076767[/C][C]1.09607993896737[/C][/ROW]
[ROW][C]0.78[/C][C]100.753606352092[/C][C]1.09010240373655[/C][/ROW]
[ROW][C]0.79[/C][C]101.01145362614[/C][C]1.07818305664161[/C][/ROW]
[ROW][C]0.8[/C][C]101.267605712393[/C][C]1.05208245902416[/C][/ROW]
[ROW][C]0.81[/C][C]101.519541524511[/C][C]1.00965632804591[/C][/ROW]
[ROW][C]0.82[/C][C]101.765014007514[/C][C]0.954881147487656[/C][/ROW]
[ROW][C]0.83[/C][C]102.003037137014[/C][C]0.895606964915992[/C][/ROW]
[ROW][C]0.84[/C][C]102.234408093036[/C][C]0.841699200801482[/C][/ROW]
[ROW][C]0.85[/C][C]102.461602895966[/C][C]0.801045821517935[/C][/ROW]
[ROW][C]0.86[/C][C]102.688054556839[/C][C]0.777051522629756[/C][/ROW]
[ROW][C]0.87[/C][C]102.917001702605[/C][C]0.766817826432623[/C][/ROW]
[ROW][C]0.88[/C][C]103.150236506428[/C][C]0.762021489558113[/C][/ROW]
[ROW][C]0.89[/C][C]103.38714555867[/C][C]0.751602145728511[/C][/ROW]
[ROW][C]0.9[/C][C]103.624408647595[/C][C]0.725379990469046[/C][/ROW]
[ROW][C]0.91[/C][C]103.856620343453[/C][C]0.677340176118802[/C][/ROW]
[ROW][C]0.92[/C][C]104.077999508747[/C][C]0.607766508778036[/C][/ROW]
[ROW][C]0.93[/C][C]104.28531168005[/C][C]0.524760098862713[/C][/ROW]
[ROW][C]0.94[/C][C]104.481971170467[/C][C]0.445572973297092[/C][/ROW]
[ROW][C]0.95[/C][C]104.682307176141[/C][C]0.399751896473649[/C][/ROW]
[ROW][C]0.96[/C][C]104.912269312856[/C][C]0.422859935904812[/C][/ROW]
[ROW][C]0.97[/C][C]105.199290359442[/C][C]0.506566143254058[/C][/ROW]
[ROW][C]0.98[/C][C]105.544824717356[/C][C]0.559150837503821[/C][/ROW]
[ROW][C]0.99[/C][C]105.887238402212[/C][C]0.489413334438173[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212951&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212951&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
0.0169.89796350036561.4220296568966
0.0270.74364315012981.09037147647683
0.0371.47118124504530.882794676134174
0.0472.03360344792640.849391719997663
0.0572.50295168959820.931983209295143
0.0672.94089783842911.0320083664176
0.0773.37162597308231.09608616609522
0.0873.7960345914861.12246189968302
0.0974.20902730039541.13336106807506
0.174.60859825715861.15054500764317
0.1174.9974242082951.18419489283737
0.1275.3810212007471.23547460008625
0.1375.76569485474131.303674384798
0.1476.15749161872981.38947224579892
0.1576.56191822644231.49461515089487
0.1676.98377805023231.61815092608131
0.1777.42672129214531.75483880660548
0.1877.89252321170221.89429063458007
0.1978.38038221244212.02277503630916
0.278.886581884792.12576724159992
0.2179.40473688686262.19161463414476
0.2279.92663703057042.21437131392736
0.2380.4435075812062.19445193514392
0.2480.94738027533762.13902826512495
0.2581.43224801213112.06038857563176
0.2681.89475082063441.97287567924241
0.2782.33427809514781.88995894654804
0.2882.75252505372951.82154318650172
0.2983.15266559781191.77233384411617
0.383.53837078725471.74129369067893
0.3183.91290461358621.72291730380533
0.3284.27847756434551.70923859848937
0.3384.63595529705251.69208601371107
0.3484.98492884642841.66534945866068
0.3585.32407497080081.62540769653605
0.3685.65168460190741.57242865655513
0.3785.96622023002741.50976347438728
0.3886.26677822476071.44225621842744
0.3986.55337191817551.3764409710632
0.486.82700370020261.31816902855633
0.4187.08954580760311.27219228460566
0.4287.3434881107541.24105963710615
0.4387.59162979769791.22524695392436
0.4487.83678925329571.22342836199329
0.4588.081587132471.23354088093683
0.4688.3283297933051.25331054770486
0.4788.57899285381711.28083974769301
0.4888.83528469857561.31502804532743
0.4989.09876059524521.35565666227603
0.589.37095883711321.40298961819836
0.5189.65353690910141.45819615461338
0.5289.94839260905121.52273879309434
0.5390.25775772712171.59820611001854
0.5490.58424844295611.6871521547973
0.5590.93084891336761.79137508118168
0.5691.30079778051111.91254787804889
0.5791.69734824541272.05063997417776
0.5892.12338643769682.20291929117561
0.5992.58092160592462.36405044684868
0.693.07050096329412.52489292914224
0.6193.59064209262242.67317102846956
0.6294.13740368237922.79500934656864
0.6394.70421890453272.8764296684819
0.6495.28208807574852.90531977621718
0.6595.86016990278392.87395242807172
0.6696.42673414042032.78007685304217
0.6796.97035999247652.62841134756781
0.6897.48120299898152.42934582841447
0.6997.95212385969782.19909855345484
0.798.37948337462971.95660345043105
0.7198.76345702103641.72186975196743
0.7299.10780136466031.51276027693119
0.7399.41909842512521.34354836426887
0.7499.70559750405331.22159340405857
0.7599.97585140295121.14662901852054
0.76100.2373911510091.10964072438145
0.77100.4956880767671.09607993896737
0.78100.7536063520921.09010240373655
0.79101.011453626141.07818305664161
0.8101.2676057123931.05208245902416
0.81101.5195415245111.00965632804591
0.82101.7650140075140.954881147487656
0.83102.0030371370140.895606964915992
0.84102.2344080930360.841699200801482
0.85102.4616028959660.801045821517935
0.86102.6880545568390.777051522629756
0.87102.9170017026050.766817826432623
0.88103.1502365064280.762021489558113
0.89103.387145558670.751602145728511
0.9103.6244086475950.725379990469046
0.91103.8566203434530.677340176118802
0.92104.0779995087470.607766508778036
0.93104.285311680050.524760098862713
0.94104.4819711704670.445572973297092
0.95104.6823071761410.399751896473649
0.96104.9122693128560.422859935904812
0.97105.1992903594420.506566143254058
0.98105.5448247173560.559150837503821
0.99105.8872384022120.489413334438173


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')