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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 computationTue, 08 Mar 2016 19:58:09 +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/2016/Mar/08/t1457467107c19ltvfeye2donb.htm/, Retrieved Sun, 28 Apr 2024 23:25:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=293752, Retrieved Sun, 28 Apr 2024 23:25:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact77

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] [] [2016-03-08 19:58:09] [98ac3b2d1325a88ddcc6e107efd9e1d0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
84.51
84.54
84.27
84.47
84.25
84.33
84.29
84.53
84.01
84.18
84.08
83.44
83.61
83.89
83.4
82.96
82.76
83.35
87.78
88.99
88.92
88.91
89.79
90.54
93.15
92.79
93.21
95.35
100.91
103.69
104.04
104.16
104.71
105.18
104.92
104.83
104.9
105.05
104.6
103.21
102.52
101.09
101.19
102.34
102.62
102.47
101.82
101.86
101.54
101.98
101.23
100.4
99.94
99.94
100
98.8
99.07
99.46
99.18
98.47
97.12
96.91
96.09
97.17
96.8
97.13
99.9
100.56
100.84
99.81
100.44
100.07
101.32
103.98
104.81
106.23
106.48
107.59
107.16
107.54
107.1
106.38
106.64
106.13

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=293752&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=293752&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293752&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
0.0182.8628762208190.235363739687571
0.0283.02741959522490.26509294262131
0.0383.19656105837550.254695610600073
0.0483.34515420701270.240376920706572
0.0583.47424564760730.249396843314814
0.0683.59267194257340.270479657952273
0.0783.70608753717230.284485223778785
0.0883.81500548214870.283749267360436
0.0983.91751047483250.271889803496681
0.184.01251647430250.259139947577118
0.1184.10172954085530.259367969183916
0.1284.19026345391190.288231196229474
0.1384.28644431443620.360201989698961
0.1484.40119001363330.484617272943841
0.1584.54706033649580.665196921962014
0.1684.73695497117420.899602495784063
0.1784.98252312396341.17869888896122
0.1885.29252756993331.48611217835722
0.1985.67153615042381.80126333730128
0.286.11929889724552.10328166130094
0.2186.6309955182222.37390572603751
0.2287.1982735824052.60257030745625
0.2387.81075474995922.78568069376122
0.2488.45756612605412.92671851796226
0.2589.12849912422943.03120774836993
0.2689.81457785391333.1057373661425
0.2790.50804914436463.15271922905529
0.2891.20199385857793.17207737146812
0.2991.88984274443463.16115733310161
0.392.56504921814683.11647279615411
0.3193.22106003789313.03643526806551
0.3293.85158787820322.92234839257013
0.3394.45107828437122.77883045820236
0.3495.01520759811682.61370308266582
0.3595.54125355320852.43631172466603
0.3696.02823221125762.25621534204632
0.3796.47676969441852.08195420766357
0.3896.88874998598281.91926272591882
0.3997.26683185808991.77095606192402
0.497.61394874173531.63704224607543
0.4197.93289467966521.51503925731697
0.4298.22606498551621.40182844360176
0.4398.49537426903641.29438861153466
0.4498.74233037551441.19084322217306
0.4598.96821112399321.09070024217593
0.4699.17427707306780.994901287835168
0.4799.36195787536940.905196466084836
0.4899.53296762878970.824034950560196
0.4999.68932919012920.753616409638293
0.599.83331179847340.695498649808863
0.5199.96730526455710.650307850165745
0.52100.093664504420.617651811479888
0.53100.2145597917780.595847185830079
0.54100.3318621032030.582802530436057
0.55100.4470818406140.57631878134446
0.56100.5613660527110.573778189774782
0.57100.6755469921130.573943302486499
0.58100.7902258486310.575987390871513
0.59100.9058712787120.57914972138162
0.6101.0229132196540.583882817271005
0.61101.1418175207220.590703298025082
0.62101.2631342122670.60015166140214
0.63101.3875193149880.612469877375607
0.64101.5157346896780.628488280029058
0.65101.6486311984440.648237524639958
0.66101.787117541850.671825527663525
0.67101.932112327050.699182176553626
0.68102.0844731315890.729971342510291
0.69102.2448965621150.763366334426441
0.7102.4137892920860.797659669202969
0.71102.5911211126280.830680721567898
0.72102.7762837783260.859253836244242
0.73102.9679888098120.879989024755794
0.74103.1642387641620.889465482051363
0.75103.3623979149790.884968107710508
0.76103.5593720516990.865107229496132
0.77103.7518888751150.829879799561033
0.78103.9368563449930.780926189211287
0.79104.1117689638160.721473657675704
0.8104.2751279467590.656453549384294
0.81104.4268321197830.591819589775911
0.82104.5684743425120.534663964563063
0.83104.7034445267670.492860367770602
0.84104.8367127939280.473487022862611
0.85104.9741798496650.480316638535344
0.86105.1215751242470.51053262017096
0.87105.2830709857750.5540388349214
0.88105.4600175187980.595984985861436
0.89105.6503621734090.621366031064239
0.9105.8492317303760.620040966150604
0.91106.0507132068030.590995838436563
0.92106.2501852938010.543487719175382
0.93106.4460284814940.492775630329195
0.94106.639688279040.450864668427633
0.95106.8339326426150.418235770802848
0.96107.0298610508570.385907668209808
0.97107.2228635388650.34291475153274
0.98107.39782016030.270986574637894
0.99107.5282123132970.153578646520432

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 82.862876220819 & 0.235363739687571 \tabularnewline
0.02 & 83.0274195952249 & 0.26509294262131 \tabularnewline
0.03 & 83.1965610583755 & 0.254695610600073 \tabularnewline
0.04 & 83.3451542070127 & 0.240376920706572 \tabularnewline
0.05 & 83.4742456476073 & 0.249396843314814 \tabularnewline
0.06 & 83.5926719425734 & 0.270479657952273 \tabularnewline
0.07 & 83.7060875371723 & 0.284485223778785 \tabularnewline
0.08 & 83.8150054821487 & 0.283749267360436 \tabularnewline
0.09 & 83.9175104748325 & 0.271889803496681 \tabularnewline
0.1 & 84.0125164743025 & 0.259139947577118 \tabularnewline
0.11 & 84.1017295408553 & 0.259367969183916 \tabularnewline
0.12 & 84.1902634539119 & 0.288231196229474 \tabularnewline
0.13 & 84.2864443144362 & 0.360201989698961 \tabularnewline
0.14 & 84.4011900136333 & 0.484617272943841 \tabularnewline
0.15 & 84.5470603364958 & 0.665196921962014 \tabularnewline
0.16 & 84.7369549711742 & 0.899602495784063 \tabularnewline
0.17 & 84.9825231239634 & 1.17869888896122 \tabularnewline
0.18 & 85.2925275699333 & 1.48611217835722 \tabularnewline
0.19 & 85.6715361504238 & 1.80126333730128 \tabularnewline
0.2 & 86.1192988972455 & 2.10328166130094 \tabularnewline
0.21 & 86.630995518222 & 2.37390572603751 \tabularnewline
0.22 & 87.198273582405 & 2.60257030745625 \tabularnewline
0.23 & 87.8107547499592 & 2.78568069376122 \tabularnewline
0.24 & 88.4575661260541 & 2.92671851796226 \tabularnewline
0.25 & 89.1284991242294 & 3.03120774836993 \tabularnewline
0.26 & 89.8145778539133 & 3.1057373661425 \tabularnewline
0.27 & 90.5080491443646 & 3.15271922905529 \tabularnewline
0.28 & 91.2019938585779 & 3.17207737146812 \tabularnewline
0.29 & 91.8898427444346 & 3.16115733310161 \tabularnewline
0.3 & 92.5650492181468 & 3.11647279615411 \tabularnewline
0.31 & 93.2210600378931 & 3.03643526806551 \tabularnewline
0.32 & 93.8515878782032 & 2.92234839257013 \tabularnewline
0.33 & 94.4510782843712 & 2.77883045820236 \tabularnewline
0.34 & 95.0152075981168 & 2.61370308266582 \tabularnewline
0.35 & 95.5412535532085 & 2.43631172466603 \tabularnewline
0.36 & 96.0282322112576 & 2.25621534204632 \tabularnewline
0.37 & 96.4767696944185 & 2.08195420766357 \tabularnewline
0.38 & 96.8887499859828 & 1.91926272591882 \tabularnewline
0.39 & 97.2668318580899 & 1.77095606192402 \tabularnewline
0.4 & 97.6139487417353 & 1.63704224607543 \tabularnewline
0.41 & 97.9328946796652 & 1.51503925731697 \tabularnewline
0.42 & 98.2260649855162 & 1.40182844360176 \tabularnewline
0.43 & 98.4953742690364 & 1.29438861153466 \tabularnewline
0.44 & 98.7423303755144 & 1.19084322217306 \tabularnewline
0.45 & 98.9682111239932 & 1.09070024217593 \tabularnewline
0.46 & 99.1742770730678 & 0.994901287835168 \tabularnewline
0.47 & 99.3619578753694 & 0.905196466084836 \tabularnewline
0.48 & 99.5329676287897 & 0.824034950560196 \tabularnewline
0.49 & 99.6893291901292 & 0.753616409638293 \tabularnewline
0.5 & 99.8333117984734 & 0.695498649808863 \tabularnewline
0.51 & 99.9673052645571 & 0.650307850165745 \tabularnewline
0.52 & 100.09366450442 & 0.617651811479888 \tabularnewline
0.53 & 100.214559791778 & 0.595847185830079 \tabularnewline
0.54 & 100.331862103203 & 0.582802530436057 \tabularnewline
0.55 & 100.447081840614 & 0.57631878134446 \tabularnewline
0.56 & 100.561366052711 & 0.573778189774782 \tabularnewline
0.57 & 100.675546992113 & 0.573943302486499 \tabularnewline
0.58 & 100.790225848631 & 0.575987390871513 \tabularnewline
0.59 & 100.905871278712 & 0.57914972138162 \tabularnewline
0.6 & 101.022913219654 & 0.583882817271005 \tabularnewline
0.61 & 101.141817520722 & 0.590703298025082 \tabularnewline
0.62 & 101.263134212267 & 0.60015166140214 \tabularnewline
0.63 & 101.387519314988 & 0.612469877375607 \tabularnewline
0.64 & 101.515734689678 & 0.628488280029058 \tabularnewline
0.65 & 101.648631198444 & 0.648237524639958 \tabularnewline
0.66 & 101.78711754185 & 0.671825527663525 \tabularnewline
0.67 & 101.93211232705 & 0.699182176553626 \tabularnewline
0.68 & 102.084473131589 & 0.729971342510291 \tabularnewline
0.69 & 102.244896562115 & 0.763366334426441 \tabularnewline
0.7 & 102.413789292086 & 0.797659669202969 \tabularnewline
0.71 & 102.591121112628 & 0.830680721567898 \tabularnewline
0.72 & 102.776283778326 & 0.859253836244242 \tabularnewline
0.73 & 102.967988809812 & 0.879989024755794 \tabularnewline
0.74 & 103.164238764162 & 0.889465482051363 \tabularnewline
0.75 & 103.362397914979 & 0.884968107710508 \tabularnewline
0.76 & 103.559372051699 & 0.865107229496132 \tabularnewline
0.77 & 103.751888875115 & 0.829879799561033 \tabularnewline
0.78 & 103.936856344993 & 0.780926189211287 \tabularnewline
0.79 & 104.111768963816 & 0.721473657675704 \tabularnewline
0.8 & 104.275127946759 & 0.656453549384294 \tabularnewline
0.81 & 104.426832119783 & 0.591819589775911 \tabularnewline
0.82 & 104.568474342512 & 0.534663964563063 \tabularnewline
0.83 & 104.703444526767 & 0.492860367770602 \tabularnewline
0.84 & 104.836712793928 & 0.473487022862611 \tabularnewline
0.85 & 104.974179849665 & 0.480316638535344 \tabularnewline
0.86 & 105.121575124247 & 0.51053262017096 \tabularnewline
0.87 & 105.283070985775 & 0.5540388349214 \tabularnewline
0.88 & 105.460017518798 & 0.595984985861436 \tabularnewline
0.89 & 105.650362173409 & 0.621366031064239 \tabularnewline
0.9 & 105.849231730376 & 0.620040966150604 \tabularnewline
0.91 & 106.050713206803 & 0.590995838436563 \tabularnewline
0.92 & 106.250185293801 & 0.543487719175382 \tabularnewline
0.93 & 106.446028481494 & 0.492775630329195 \tabularnewline
0.94 & 106.63968827904 & 0.450864668427633 \tabularnewline
0.95 & 106.833932642615 & 0.418235770802848 \tabularnewline
0.96 & 107.029861050857 & 0.385907668209808 \tabularnewline
0.97 & 107.222863538865 & 0.34291475153274 \tabularnewline
0.98 & 107.3978201603 & 0.270986574637894 \tabularnewline
0.99 & 107.528212313297 & 0.153578646520432 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293752&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]82.862876220819[/C][C]0.235363739687571[/C][/ROW]
[ROW][C]0.02[/C][C]83.0274195952249[/C][C]0.26509294262131[/C][/ROW]
[ROW][C]0.03[/C][C]83.1965610583755[/C][C]0.254695610600073[/C][/ROW]
[ROW][C]0.04[/C][C]83.3451542070127[/C][C]0.240376920706572[/C][/ROW]
[ROW][C]0.05[/C][C]83.4742456476073[/C][C]0.249396843314814[/C][/ROW]
[ROW][C]0.06[/C][C]83.5926719425734[/C][C]0.270479657952273[/C][/ROW]
[ROW][C]0.07[/C][C]83.7060875371723[/C][C]0.284485223778785[/C][/ROW]
[ROW][C]0.08[/C][C]83.8150054821487[/C][C]0.283749267360436[/C][/ROW]
[ROW][C]0.09[/C][C]83.9175104748325[/C][C]0.271889803496681[/C][/ROW]
[ROW][C]0.1[/C][C]84.0125164743025[/C][C]0.259139947577118[/C][/ROW]
[ROW][C]0.11[/C][C]84.1017295408553[/C][C]0.259367969183916[/C][/ROW]
[ROW][C]0.12[/C][C]84.1902634539119[/C][C]0.288231196229474[/C][/ROW]
[ROW][C]0.13[/C][C]84.2864443144362[/C][C]0.360201989698961[/C][/ROW]
[ROW][C]0.14[/C][C]84.4011900136333[/C][C]0.484617272943841[/C][/ROW]
[ROW][C]0.15[/C][C]84.5470603364958[/C][C]0.665196921962014[/C][/ROW]
[ROW][C]0.16[/C][C]84.7369549711742[/C][C]0.899602495784063[/C][/ROW]
[ROW][C]0.17[/C][C]84.9825231239634[/C][C]1.17869888896122[/C][/ROW]
[ROW][C]0.18[/C][C]85.2925275699333[/C][C]1.48611217835722[/C][/ROW]
[ROW][C]0.19[/C][C]85.6715361504238[/C][C]1.80126333730128[/C][/ROW]
[ROW][C]0.2[/C][C]86.1192988972455[/C][C]2.10328166130094[/C][/ROW]
[ROW][C]0.21[/C][C]86.630995518222[/C][C]2.37390572603751[/C][/ROW]
[ROW][C]0.22[/C][C]87.198273582405[/C][C]2.60257030745625[/C][/ROW]
[ROW][C]0.23[/C][C]87.8107547499592[/C][C]2.78568069376122[/C][/ROW]
[ROW][C]0.24[/C][C]88.4575661260541[/C][C]2.92671851796226[/C][/ROW]
[ROW][C]0.25[/C][C]89.1284991242294[/C][C]3.03120774836993[/C][/ROW]
[ROW][C]0.26[/C][C]89.8145778539133[/C][C]3.1057373661425[/C][/ROW]
[ROW][C]0.27[/C][C]90.5080491443646[/C][C]3.15271922905529[/C][/ROW]
[ROW][C]0.28[/C][C]91.2019938585779[/C][C]3.17207737146812[/C][/ROW]
[ROW][C]0.29[/C][C]91.8898427444346[/C][C]3.16115733310161[/C][/ROW]
[ROW][C]0.3[/C][C]92.5650492181468[/C][C]3.11647279615411[/C][/ROW]
[ROW][C]0.31[/C][C]93.2210600378931[/C][C]3.03643526806551[/C][/ROW]
[ROW][C]0.32[/C][C]93.8515878782032[/C][C]2.92234839257013[/C][/ROW]
[ROW][C]0.33[/C][C]94.4510782843712[/C][C]2.77883045820236[/C][/ROW]
[ROW][C]0.34[/C][C]95.0152075981168[/C][C]2.61370308266582[/C][/ROW]
[ROW][C]0.35[/C][C]95.5412535532085[/C][C]2.43631172466603[/C][/ROW]
[ROW][C]0.36[/C][C]96.0282322112576[/C][C]2.25621534204632[/C][/ROW]
[ROW][C]0.37[/C][C]96.4767696944185[/C][C]2.08195420766357[/C][/ROW]
[ROW][C]0.38[/C][C]96.8887499859828[/C][C]1.91926272591882[/C][/ROW]
[ROW][C]0.39[/C][C]97.2668318580899[/C][C]1.77095606192402[/C][/ROW]
[ROW][C]0.4[/C][C]97.6139487417353[/C][C]1.63704224607543[/C][/ROW]
[ROW][C]0.41[/C][C]97.9328946796652[/C][C]1.51503925731697[/C][/ROW]
[ROW][C]0.42[/C][C]98.2260649855162[/C][C]1.40182844360176[/C][/ROW]
[ROW][C]0.43[/C][C]98.4953742690364[/C][C]1.29438861153466[/C][/ROW]
[ROW][C]0.44[/C][C]98.7423303755144[/C][C]1.19084322217306[/C][/ROW]
[ROW][C]0.45[/C][C]98.9682111239932[/C][C]1.09070024217593[/C][/ROW]
[ROW][C]0.46[/C][C]99.1742770730678[/C][C]0.994901287835168[/C][/ROW]
[ROW][C]0.47[/C][C]99.3619578753694[/C][C]0.905196466084836[/C][/ROW]
[ROW][C]0.48[/C][C]99.5329676287897[/C][C]0.824034950560196[/C][/ROW]
[ROW][C]0.49[/C][C]99.6893291901292[/C][C]0.753616409638293[/C][/ROW]
[ROW][C]0.5[/C][C]99.8333117984734[/C][C]0.695498649808863[/C][/ROW]
[ROW][C]0.51[/C][C]99.9673052645571[/C][C]0.650307850165745[/C][/ROW]
[ROW][C]0.52[/C][C]100.09366450442[/C][C]0.617651811479888[/C][/ROW]
[ROW][C]0.53[/C][C]100.214559791778[/C][C]0.595847185830079[/C][/ROW]
[ROW][C]0.54[/C][C]100.331862103203[/C][C]0.582802530436057[/C][/ROW]
[ROW][C]0.55[/C][C]100.447081840614[/C][C]0.57631878134446[/C][/ROW]
[ROW][C]0.56[/C][C]100.561366052711[/C][C]0.573778189774782[/C][/ROW]
[ROW][C]0.57[/C][C]100.675546992113[/C][C]0.573943302486499[/C][/ROW]
[ROW][C]0.58[/C][C]100.790225848631[/C][C]0.575987390871513[/C][/ROW]
[ROW][C]0.59[/C][C]100.905871278712[/C][C]0.57914972138162[/C][/ROW]
[ROW][C]0.6[/C][C]101.022913219654[/C][C]0.583882817271005[/C][/ROW]
[ROW][C]0.61[/C][C]101.141817520722[/C][C]0.590703298025082[/C][/ROW]
[ROW][C]0.62[/C][C]101.263134212267[/C][C]0.60015166140214[/C][/ROW]
[ROW][C]0.63[/C][C]101.387519314988[/C][C]0.612469877375607[/C][/ROW]
[ROW][C]0.64[/C][C]101.515734689678[/C][C]0.628488280029058[/C][/ROW]
[ROW][C]0.65[/C][C]101.648631198444[/C][C]0.648237524639958[/C][/ROW]
[ROW][C]0.66[/C][C]101.78711754185[/C][C]0.671825527663525[/C][/ROW]
[ROW][C]0.67[/C][C]101.93211232705[/C][C]0.699182176553626[/C][/ROW]
[ROW][C]0.68[/C][C]102.084473131589[/C][C]0.729971342510291[/C][/ROW]
[ROW][C]0.69[/C][C]102.244896562115[/C][C]0.763366334426441[/C][/ROW]
[ROW][C]0.7[/C][C]102.413789292086[/C][C]0.797659669202969[/C][/ROW]
[ROW][C]0.71[/C][C]102.591121112628[/C][C]0.830680721567898[/C][/ROW]
[ROW][C]0.72[/C][C]102.776283778326[/C][C]0.859253836244242[/C][/ROW]
[ROW][C]0.73[/C][C]102.967988809812[/C][C]0.879989024755794[/C][/ROW]
[ROW][C]0.74[/C][C]103.164238764162[/C][C]0.889465482051363[/C][/ROW]
[ROW][C]0.75[/C][C]103.362397914979[/C][C]0.884968107710508[/C][/ROW]
[ROW][C]0.76[/C][C]103.559372051699[/C][C]0.865107229496132[/C][/ROW]
[ROW][C]0.77[/C][C]103.751888875115[/C][C]0.829879799561033[/C][/ROW]
[ROW][C]0.78[/C][C]103.936856344993[/C][C]0.780926189211287[/C][/ROW]
[ROW][C]0.79[/C][C]104.111768963816[/C][C]0.721473657675704[/C][/ROW]
[ROW][C]0.8[/C][C]104.275127946759[/C][C]0.656453549384294[/C][/ROW]
[ROW][C]0.81[/C][C]104.426832119783[/C][C]0.591819589775911[/C][/ROW]
[ROW][C]0.82[/C][C]104.568474342512[/C][C]0.534663964563063[/C][/ROW]
[ROW][C]0.83[/C][C]104.703444526767[/C][C]0.492860367770602[/C][/ROW]
[ROW][C]0.84[/C][C]104.836712793928[/C][C]0.473487022862611[/C][/ROW]
[ROW][C]0.85[/C][C]104.974179849665[/C][C]0.480316638535344[/C][/ROW]
[ROW][C]0.86[/C][C]105.121575124247[/C][C]0.51053262017096[/C][/ROW]
[ROW][C]0.87[/C][C]105.283070985775[/C][C]0.5540388349214[/C][/ROW]
[ROW][C]0.88[/C][C]105.460017518798[/C][C]0.595984985861436[/C][/ROW]
[ROW][C]0.89[/C][C]105.650362173409[/C][C]0.621366031064239[/C][/ROW]
[ROW][C]0.9[/C][C]105.849231730376[/C][C]0.620040966150604[/C][/ROW]
[ROW][C]0.91[/C][C]106.050713206803[/C][C]0.590995838436563[/C][/ROW]
[ROW][C]0.92[/C][C]106.250185293801[/C][C]0.543487719175382[/C][/ROW]
[ROW][C]0.93[/C][C]106.446028481494[/C][C]0.492775630329195[/C][/ROW]
[ROW][C]0.94[/C][C]106.63968827904[/C][C]0.450864668427633[/C][/ROW]
[ROW][C]0.95[/C][C]106.833932642615[/C][C]0.418235770802848[/C][/ROW]
[ROW][C]0.96[/C][C]107.029861050857[/C][C]0.385907668209808[/C][/ROW]
[ROW][C]0.97[/C][C]107.222863538865[/C][C]0.34291475153274[/C][/ROW]
[ROW][C]0.98[/C][C]107.3978201603[/C][C]0.270986574637894[/C][/ROW]
[ROW][C]0.99[/C][C]107.528212313297[/C][C]0.153578646520432[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293752&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293752&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
0.0182.8628762208190.235363739687571
0.0283.02741959522490.26509294262131
0.0383.19656105837550.254695610600073
0.0483.34515420701270.240376920706572
0.0583.47424564760730.249396843314814
0.0683.59267194257340.270479657952273
0.0783.70608753717230.284485223778785
0.0883.81500548214870.283749267360436
0.0983.91751047483250.271889803496681
0.184.01251647430250.259139947577118
0.1184.10172954085530.259367969183916
0.1284.19026345391190.288231196229474
0.1384.28644431443620.360201989698961
0.1484.40119001363330.484617272943841
0.1584.54706033649580.665196921962014
0.1684.73695497117420.899602495784063
0.1784.98252312396341.17869888896122
0.1885.29252756993331.48611217835722
0.1985.67153615042381.80126333730128
0.286.11929889724552.10328166130094
0.2186.6309955182222.37390572603751
0.2287.1982735824052.60257030745625
0.2387.81075474995922.78568069376122
0.2488.45756612605412.92671851796226
0.2589.12849912422943.03120774836993
0.2689.81457785391333.1057373661425
0.2790.50804914436463.15271922905529
0.2891.20199385857793.17207737146812
0.2991.88984274443463.16115733310161
0.392.56504921814683.11647279615411
0.3193.22106003789313.03643526806551
0.3293.85158787820322.92234839257013
0.3394.45107828437122.77883045820236
0.3495.01520759811682.61370308266582
0.3595.54125355320852.43631172466603
0.3696.02823221125762.25621534204632
0.3796.47676969441852.08195420766357
0.3896.88874998598281.91926272591882
0.3997.26683185808991.77095606192402
0.497.61394874173531.63704224607543
0.4197.93289467966521.51503925731697
0.4298.22606498551621.40182844360176
0.4398.49537426903641.29438861153466
0.4498.74233037551441.19084322217306
0.4598.96821112399321.09070024217593
0.4699.17427707306780.994901287835168
0.4799.36195787536940.905196466084836
0.4899.53296762878970.824034950560196
0.4999.68932919012920.753616409638293
0.599.83331179847340.695498649808863
0.5199.96730526455710.650307850165745
0.52100.093664504420.617651811479888
0.53100.2145597917780.595847185830079
0.54100.3318621032030.582802530436057
0.55100.4470818406140.57631878134446
0.56100.5613660527110.573778189774782
0.57100.6755469921130.573943302486499
0.58100.7902258486310.575987390871513
0.59100.9058712787120.57914972138162
0.6101.0229132196540.583882817271005
0.61101.1418175207220.590703298025082
0.62101.2631342122670.60015166140214
0.63101.3875193149880.612469877375607
0.64101.5157346896780.628488280029058
0.65101.6486311984440.648237524639958
0.66101.787117541850.671825527663525
0.67101.932112327050.699182176553626
0.68102.0844731315890.729971342510291
0.69102.2448965621150.763366334426441
0.7102.4137892920860.797659669202969
0.71102.5911211126280.830680721567898
0.72102.7762837783260.859253836244242
0.73102.9679888098120.879989024755794
0.74103.1642387641620.889465482051363
0.75103.3623979149790.884968107710508
0.76103.5593720516990.865107229496132
0.77103.7518888751150.829879799561033
0.78103.9368563449930.780926189211287
0.79104.1117689638160.721473657675704
0.8104.2751279467590.656453549384294
0.81104.4268321197830.591819589775911
0.82104.5684743425120.534663964563063
0.83104.7034445267670.492860367770602
0.84104.8367127939280.473487022862611
0.85104.9741798496650.480316638535344
0.86105.1215751242470.51053262017096
0.87105.2830709857750.5540388349214
0.88105.4600175187980.595984985861436
0.89105.6503621734090.621366031064239
0.9105.8492317303760.620040966150604
0.91106.0507132068030.590995838436563
0.92106.2501852938010.543487719175382
0.93106.4460284814940.492775630329195
0.94106.639688279040.450864668427633
0.95106.8339326426150.418235770802848
0.96107.0298610508570.385907668209808
0.97107.2228635388650.34291475153274
0.98107.39782016030.270986574637894
0.99107.5282123132970.153578646520432


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')