FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 08 Oct 2015 16:13:27 +0100
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/Oct/08/t1444317225gumi1ch6lqa2vk3.htm/, Retrieved Sat, 18 May 2024 19:19:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281487, Retrieved Sat, 18 May 2024 19:19:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact97

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] [] [2015-10-08 15:05:24] [b1987693a2b63654c6d4ca246f63ea73]
-    D    [Harrell-Davis Quantiles] [] [2015-10-08 15:13:27] [07f175c9375843c217f66b4a3796ae0c] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
85.95
86.41
86.42
86.81
86.71
86.7
87.07
86.96
87.04
87.5
88.32
88.56
88.92
89.56
90.21
90.42
91.23
91.73
92.21
91.65
91.8
91.63
91.09
90.89
90.98
91.29
90.77
90.96
90.89
90.72
90.66
90.94
90.7
90.74
90.98
91.13
91.54
91.93
92.27
92.59
92.96
92.95
92.99
93.05
93.34
93.47
93.59
93.96
94.49
95.04
95.52
95.75
96.07
96.37
96.48
96.4
96.66
96.81
97.19
97.23
97.94
98.52
98.73
98.8
98.77
98.54
98.72
99.15
99.32
99.5
99.39
99.4
99.37
99.69
99.83
99.79
99.94
100.11
100.21
100.15
100.21
100.13
100.2
100.36
100.5
100.66
100.72
100.41
100.3
100.38
100.55
100.17
100.09
100.22
100.09
99.98

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281487&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281487&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281487&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 time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0186.12724256502360.324016795527011
0.0286.34298273363240.219283611242282
0.0386.51309445778720.2025540097826
0.0486.64948517953240.223362916181375
0.0586.77940925727460.274323521637822
0.0686.92318877983030.369426896403394
0.0787.09713818197760.507842377876218
0.0887.31348334311050.674033194744297
0.0987.57759676016980.843746931306433
0.187.8864526986360.991173823788999
0.1188.22939955351881.09613791038902
0.1288.59069258157971.14683970625429
0.1388.9527075129211.14100969719299
0.1489.2988768485181.08361794106369
0.1589.61582483342630.985612105800671
0.1689.89457436944080.860804741025856
0.1790.1308971319840.724951823256125
0.1890.32494243322810.592177635716707
0.1990.48032745534510.473711376790782
0.290.60293227673190.376380699678404
0.2190.69967328603510.303036411121001
0.2290.77748707032130.25342065058374
0.2390.84265250018790.224847843652371
0.2490.90045884794210.214155687645377
0.2590.95514061099670.217302765403728
0.2691.00996737108660.231221064241863
0.2791.06739214296130.253109440313149
0.2891.12920043489180.280481090947025
0.2991.19664035789480.311739204659386
0.391.27053697394530.345318691202111
0.3191.35139908539170.380340457214746
0.3291.43952001211240.416189405447771
0.3391.53506501260860.452761274969151
0.3491.63813456677220.490058298163468
0.3591.74879770084440.528122580102829
0.3691.86710061012780.566590721866503
0.3791.99306716978230.605253868733391
0.3892.1267130691760.643850493491819
0.3992.26809026828070.682608505133831
0.492.41736368133720.721931260559027
0.4192.57490240425260.763424342429001
0.4292.74135114512720.808794359465692
0.4392.91764132649970.859747941586765
0.4493.10490994543680.917710830865819
0.4593.30431695763880.981973885013235
0.4693.51678277219221.05071201576676
0.4793.74269704898041.1201095620778
0.4893.98166855088481.18503928242273
0.4994.2323861922031.24060801463216
0.594.49264160433131.2817248740615
0.5194.75952741860991.30550991851141
0.5295.02978200114851.31139086316823
0.5395.30021218342391.30058513376499
0.5495.56810169866641.2769984895258
0.5595.83151197775731.24547463350594
0.5696.08940521786471.21144089941756
0.5796.34156216089621.17916641012573
0.5896.58831820296011.1512150627264
0.5996.83018774906761.12744068838904
0.697.06747524302771.10559155898468
0.6197.29997356685551.08152512282636
0.6297.52682528554241.05162022477598
0.6397.74657643307281.01258850092278
0.6497.9573996401830.96318712483603
0.6598.15741933815130.90397576655162
0.6698.3450496629680.837367251667457
0.6798.51926112962040.76719567885343
0.6898.67972112438420.697139397957649
0.6998.82679381581770.630854235347131
0.798.96142232431920.570802053711225
0.7199.08493828934920.518218886279853
0.7299.19884744564490.473579933072742
0.7399.30462891023270.436011505890883
0.7499.40356991257290.40436712002538
0.7599.49664539745590.377030057264824
0.7699.58444703653240.352171012350385
0.7799.66716647210560.327936126615375
0.7899.74463748441110.302883283630461
0.7999.81643648149270.275993466393995
0.899.88202959249890.247210378941849
0.8199.94094161755150.216981225437519
0.8299.99291356898980.186435270939957
0.83100.0380171134610.157116976283286
0.84100.0767074580450.130401908897687
0.85100.109816614480.107678662684962
0.86100.1385061481430.0898747439333382
0.87100.1642004285920.0775494711227254
0.88100.1885035142610.0710094272606105
0.89100.213078503690.0700576891289064
0.9100.2394689570480.0736074139679117
0.91100.2688941164450.079674573366578
0.92100.3021319430360.0857296861455926
0.93100.3396296515430.0903559296947508
0.94100.3818628893940.0935863160718882
0.95100.4297346102070.0967548103075859
0.96100.4846106589360.100285139835789
0.97100.5474599863140.10230656552342
0.98100.6162974701380.0965877090113155
0.99100.6810511475240.076833756233793

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 86.1272425650236 & 0.324016795527011 \tabularnewline
0.02 & 86.3429827336324 & 0.219283611242282 \tabularnewline
0.03 & 86.5130944577872 & 0.2025540097826 \tabularnewline
0.04 & 86.6494851795324 & 0.223362916181375 \tabularnewline
0.05 & 86.7794092572746 & 0.274323521637822 \tabularnewline
0.06 & 86.9231887798303 & 0.369426896403394 \tabularnewline
0.07 & 87.0971381819776 & 0.507842377876218 \tabularnewline
0.08 & 87.3134833431105 & 0.674033194744297 \tabularnewline
0.09 & 87.5775967601698 & 0.843746931306433 \tabularnewline
0.1 & 87.886452698636 & 0.991173823788999 \tabularnewline
0.11 & 88.2293995535188 & 1.09613791038902 \tabularnewline
0.12 & 88.5906925815797 & 1.14683970625429 \tabularnewline
0.13 & 88.952707512921 & 1.14100969719299 \tabularnewline
0.14 & 89.298876848518 & 1.08361794106369 \tabularnewline
0.15 & 89.6158248334263 & 0.985612105800671 \tabularnewline
0.16 & 89.8945743694408 & 0.860804741025856 \tabularnewline
0.17 & 90.130897131984 & 0.724951823256125 \tabularnewline
0.18 & 90.3249424332281 & 0.592177635716707 \tabularnewline
0.19 & 90.4803274553451 & 0.473711376790782 \tabularnewline
0.2 & 90.6029322767319 & 0.376380699678404 \tabularnewline
0.21 & 90.6996732860351 & 0.303036411121001 \tabularnewline
0.22 & 90.7774870703213 & 0.25342065058374 \tabularnewline
0.23 & 90.8426525001879 & 0.224847843652371 \tabularnewline
0.24 & 90.9004588479421 & 0.214155687645377 \tabularnewline
0.25 & 90.9551406109967 & 0.217302765403728 \tabularnewline
0.26 & 91.0099673710866 & 0.231221064241863 \tabularnewline
0.27 & 91.0673921429613 & 0.253109440313149 \tabularnewline
0.28 & 91.1292004348918 & 0.280481090947025 \tabularnewline
0.29 & 91.1966403578948 & 0.311739204659386 \tabularnewline
0.3 & 91.2705369739453 & 0.345318691202111 \tabularnewline
0.31 & 91.3513990853917 & 0.380340457214746 \tabularnewline
0.32 & 91.4395200121124 & 0.416189405447771 \tabularnewline
0.33 & 91.5350650126086 & 0.452761274969151 \tabularnewline
0.34 & 91.6381345667722 & 0.490058298163468 \tabularnewline
0.35 & 91.7487977008444 & 0.528122580102829 \tabularnewline
0.36 & 91.8671006101278 & 0.566590721866503 \tabularnewline
0.37 & 91.9930671697823 & 0.605253868733391 \tabularnewline
0.38 & 92.126713069176 & 0.643850493491819 \tabularnewline
0.39 & 92.2680902682807 & 0.682608505133831 \tabularnewline
0.4 & 92.4173636813372 & 0.721931260559027 \tabularnewline
0.41 & 92.5749024042526 & 0.763424342429001 \tabularnewline
0.42 & 92.7413511451272 & 0.808794359465692 \tabularnewline
0.43 & 92.9176413264997 & 0.859747941586765 \tabularnewline
0.44 & 93.1049099454368 & 0.917710830865819 \tabularnewline
0.45 & 93.3043169576388 & 0.981973885013235 \tabularnewline
0.46 & 93.5167827721922 & 1.05071201576676 \tabularnewline
0.47 & 93.7426970489804 & 1.1201095620778 \tabularnewline
0.48 & 93.9816685508848 & 1.18503928242273 \tabularnewline
0.49 & 94.232386192203 & 1.24060801463216 \tabularnewline
0.5 & 94.4926416043313 & 1.2817248740615 \tabularnewline
0.51 & 94.7595274186099 & 1.30550991851141 \tabularnewline
0.52 & 95.0297820011485 & 1.31139086316823 \tabularnewline
0.53 & 95.3002121834239 & 1.30058513376499 \tabularnewline
0.54 & 95.5681016986664 & 1.2769984895258 \tabularnewline
0.55 & 95.8315119777573 & 1.24547463350594 \tabularnewline
0.56 & 96.0894052178647 & 1.21144089941756 \tabularnewline
0.57 & 96.3415621608962 & 1.17916641012573 \tabularnewline
0.58 & 96.5883182029601 & 1.1512150627264 \tabularnewline
0.59 & 96.8301877490676 & 1.12744068838904 \tabularnewline
0.6 & 97.0674752430277 & 1.10559155898468 \tabularnewline
0.61 & 97.2999735668555 & 1.08152512282636 \tabularnewline
0.62 & 97.5268252855424 & 1.05162022477598 \tabularnewline
0.63 & 97.7465764330728 & 1.01258850092278 \tabularnewline
0.64 & 97.957399640183 & 0.96318712483603 \tabularnewline
0.65 & 98.1574193381513 & 0.90397576655162 \tabularnewline
0.66 & 98.345049662968 & 0.837367251667457 \tabularnewline
0.67 & 98.5192611296204 & 0.76719567885343 \tabularnewline
0.68 & 98.6797211243842 & 0.697139397957649 \tabularnewline
0.69 & 98.8267938158177 & 0.630854235347131 \tabularnewline
0.7 & 98.9614223243192 & 0.570802053711225 \tabularnewline
0.71 & 99.0849382893492 & 0.518218886279853 \tabularnewline
0.72 & 99.1988474456449 & 0.473579933072742 \tabularnewline
0.73 & 99.3046289102327 & 0.436011505890883 \tabularnewline
0.74 & 99.4035699125729 & 0.40436712002538 \tabularnewline
0.75 & 99.4966453974559 & 0.377030057264824 \tabularnewline
0.76 & 99.5844470365324 & 0.352171012350385 \tabularnewline
0.77 & 99.6671664721056 & 0.327936126615375 \tabularnewline
0.78 & 99.7446374844111 & 0.302883283630461 \tabularnewline
0.79 & 99.8164364814927 & 0.275993466393995 \tabularnewline
0.8 & 99.8820295924989 & 0.247210378941849 \tabularnewline
0.81 & 99.9409416175515 & 0.216981225437519 \tabularnewline
0.82 & 99.9929135689898 & 0.186435270939957 \tabularnewline
0.83 & 100.038017113461 & 0.157116976283286 \tabularnewline
0.84 & 100.076707458045 & 0.130401908897687 \tabularnewline
0.85 & 100.10981661448 & 0.107678662684962 \tabularnewline
0.86 & 100.138506148143 & 0.0898747439333382 \tabularnewline
0.87 & 100.164200428592 & 0.0775494711227254 \tabularnewline
0.88 & 100.188503514261 & 0.0710094272606105 \tabularnewline
0.89 & 100.21307850369 & 0.0700576891289064 \tabularnewline
0.9 & 100.239468957048 & 0.0736074139679117 \tabularnewline
0.91 & 100.268894116445 & 0.079674573366578 \tabularnewline
0.92 & 100.302131943036 & 0.0857296861455926 \tabularnewline
0.93 & 100.339629651543 & 0.0903559296947508 \tabularnewline
0.94 & 100.381862889394 & 0.0935863160718882 \tabularnewline
0.95 & 100.429734610207 & 0.0967548103075859 \tabularnewline
0.96 & 100.484610658936 & 0.100285139835789 \tabularnewline
0.97 & 100.547459986314 & 0.10230656552342 \tabularnewline
0.98 & 100.616297470138 & 0.0965877090113155 \tabularnewline
0.99 & 100.681051147524 & 0.076833756233793 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281487&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]86.1272425650236[/C][C]0.324016795527011[/C][/ROW]
[ROW][C]0.02[/C][C]86.3429827336324[/C][C]0.219283611242282[/C][/ROW]
[ROW][C]0.03[/C][C]86.5130944577872[/C][C]0.2025540097826[/C][/ROW]
[ROW][C]0.04[/C][C]86.6494851795324[/C][C]0.223362916181375[/C][/ROW]
[ROW][C]0.05[/C][C]86.7794092572746[/C][C]0.274323521637822[/C][/ROW]
[ROW][C]0.06[/C][C]86.9231887798303[/C][C]0.369426896403394[/C][/ROW]
[ROW][C]0.07[/C][C]87.0971381819776[/C][C]0.507842377876218[/C][/ROW]
[ROW][C]0.08[/C][C]87.3134833431105[/C][C]0.674033194744297[/C][/ROW]
[ROW][C]0.09[/C][C]87.5775967601698[/C][C]0.843746931306433[/C][/ROW]
[ROW][C]0.1[/C][C]87.886452698636[/C][C]0.991173823788999[/C][/ROW]
[ROW][C]0.11[/C][C]88.2293995535188[/C][C]1.09613791038902[/C][/ROW]
[ROW][C]0.12[/C][C]88.5906925815797[/C][C]1.14683970625429[/C][/ROW]
[ROW][C]0.13[/C][C]88.952707512921[/C][C]1.14100969719299[/C][/ROW]
[ROW][C]0.14[/C][C]89.298876848518[/C][C]1.08361794106369[/C][/ROW]
[ROW][C]0.15[/C][C]89.6158248334263[/C][C]0.985612105800671[/C][/ROW]
[ROW][C]0.16[/C][C]89.8945743694408[/C][C]0.860804741025856[/C][/ROW]
[ROW][C]0.17[/C][C]90.130897131984[/C][C]0.724951823256125[/C][/ROW]
[ROW][C]0.18[/C][C]90.3249424332281[/C][C]0.592177635716707[/C][/ROW]
[ROW][C]0.19[/C][C]90.4803274553451[/C][C]0.473711376790782[/C][/ROW]
[ROW][C]0.2[/C][C]90.6029322767319[/C][C]0.376380699678404[/C][/ROW]
[ROW][C]0.21[/C][C]90.6996732860351[/C][C]0.303036411121001[/C][/ROW]
[ROW][C]0.22[/C][C]90.7774870703213[/C][C]0.25342065058374[/C][/ROW]
[ROW][C]0.23[/C][C]90.8426525001879[/C][C]0.224847843652371[/C][/ROW]
[ROW][C]0.24[/C][C]90.9004588479421[/C][C]0.214155687645377[/C][/ROW]
[ROW][C]0.25[/C][C]90.9551406109967[/C][C]0.217302765403728[/C][/ROW]
[ROW][C]0.26[/C][C]91.0099673710866[/C][C]0.231221064241863[/C][/ROW]
[ROW][C]0.27[/C][C]91.0673921429613[/C][C]0.253109440313149[/C][/ROW]
[ROW][C]0.28[/C][C]91.1292004348918[/C][C]0.280481090947025[/C][/ROW]
[ROW][C]0.29[/C][C]91.1966403578948[/C][C]0.311739204659386[/C][/ROW]
[ROW][C]0.3[/C][C]91.2705369739453[/C][C]0.345318691202111[/C][/ROW]
[ROW][C]0.31[/C][C]91.3513990853917[/C][C]0.380340457214746[/C][/ROW]
[ROW][C]0.32[/C][C]91.4395200121124[/C][C]0.416189405447771[/C][/ROW]
[ROW][C]0.33[/C][C]91.5350650126086[/C][C]0.452761274969151[/C][/ROW]
[ROW][C]0.34[/C][C]91.6381345667722[/C][C]0.490058298163468[/C][/ROW]
[ROW][C]0.35[/C][C]91.7487977008444[/C][C]0.528122580102829[/C][/ROW]
[ROW][C]0.36[/C][C]91.8671006101278[/C][C]0.566590721866503[/C][/ROW]
[ROW][C]0.37[/C][C]91.9930671697823[/C][C]0.605253868733391[/C][/ROW]
[ROW][C]0.38[/C][C]92.126713069176[/C][C]0.643850493491819[/C][/ROW]
[ROW][C]0.39[/C][C]92.2680902682807[/C][C]0.682608505133831[/C][/ROW]
[ROW][C]0.4[/C][C]92.4173636813372[/C][C]0.721931260559027[/C][/ROW]
[ROW][C]0.41[/C][C]92.5749024042526[/C][C]0.763424342429001[/C][/ROW]
[ROW][C]0.42[/C][C]92.7413511451272[/C][C]0.808794359465692[/C][/ROW]
[ROW][C]0.43[/C][C]92.9176413264997[/C][C]0.859747941586765[/C][/ROW]
[ROW][C]0.44[/C][C]93.1049099454368[/C][C]0.917710830865819[/C][/ROW]
[ROW][C]0.45[/C][C]93.3043169576388[/C][C]0.981973885013235[/C][/ROW]
[ROW][C]0.46[/C][C]93.5167827721922[/C][C]1.05071201576676[/C][/ROW]
[ROW][C]0.47[/C][C]93.7426970489804[/C][C]1.1201095620778[/C][/ROW]
[ROW][C]0.48[/C][C]93.9816685508848[/C][C]1.18503928242273[/C][/ROW]
[ROW][C]0.49[/C][C]94.232386192203[/C][C]1.24060801463216[/C][/ROW]
[ROW][C]0.5[/C][C]94.4926416043313[/C][C]1.2817248740615[/C][/ROW]
[ROW][C]0.51[/C][C]94.7595274186099[/C][C]1.30550991851141[/C][/ROW]
[ROW][C]0.52[/C][C]95.0297820011485[/C][C]1.31139086316823[/C][/ROW]
[ROW][C]0.53[/C][C]95.3002121834239[/C][C]1.30058513376499[/C][/ROW]
[ROW][C]0.54[/C][C]95.5681016986664[/C][C]1.2769984895258[/C][/ROW]
[ROW][C]0.55[/C][C]95.8315119777573[/C][C]1.24547463350594[/C][/ROW]
[ROW][C]0.56[/C][C]96.0894052178647[/C][C]1.21144089941756[/C][/ROW]
[ROW][C]0.57[/C][C]96.3415621608962[/C][C]1.17916641012573[/C][/ROW]
[ROW][C]0.58[/C][C]96.5883182029601[/C][C]1.1512150627264[/C][/ROW]
[ROW][C]0.59[/C][C]96.8301877490676[/C][C]1.12744068838904[/C][/ROW]
[ROW][C]0.6[/C][C]97.0674752430277[/C][C]1.10559155898468[/C][/ROW]
[ROW][C]0.61[/C][C]97.2999735668555[/C][C]1.08152512282636[/C][/ROW]
[ROW][C]0.62[/C][C]97.5268252855424[/C][C]1.05162022477598[/C][/ROW]
[ROW][C]0.63[/C][C]97.7465764330728[/C][C]1.01258850092278[/C][/ROW]
[ROW][C]0.64[/C][C]97.957399640183[/C][C]0.96318712483603[/C][/ROW]
[ROW][C]0.65[/C][C]98.1574193381513[/C][C]0.90397576655162[/C][/ROW]
[ROW][C]0.66[/C][C]98.345049662968[/C][C]0.837367251667457[/C][/ROW]
[ROW][C]0.67[/C][C]98.5192611296204[/C][C]0.76719567885343[/C][/ROW]
[ROW][C]0.68[/C][C]98.6797211243842[/C][C]0.697139397957649[/C][/ROW]
[ROW][C]0.69[/C][C]98.8267938158177[/C][C]0.630854235347131[/C][/ROW]
[ROW][C]0.7[/C][C]98.9614223243192[/C][C]0.570802053711225[/C][/ROW]
[ROW][C]0.71[/C][C]99.0849382893492[/C][C]0.518218886279853[/C][/ROW]
[ROW][C]0.72[/C][C]99.1988474456449[/C][C]0.473579933072742[/C][/ROW]
[ROW][C]0.73[/C][C]99.3046289102327[/C][C]0.436011505890883[/C][/ROW]
[ROW][C]0.74[/C][C]99.4035699125729[/C][C]0.40436712002538[/C][/ROW]
[ROW][C]0.75[/C][C]99.4966453974559[/C][C]0.377030057264824[/C][/ROW]
[ROW][C]0.76[/C][C]99.5844470365324[/C][C]0.352171012350385[/C][/ROW]
[ROW][C]0.77[/C][C]99.6671664721056[/C][C]0.327936126615375[/C][/ROW]
[ROW][C]0.78[/C][C]99.7446374844111[/C][C]0.302883283630461[/C][/ROW]
[ROW][C]0.79[/C][C]99.8164364814927[/C][C]0.275993466393995[/C][/ROW]
[ROW][C]0.8[/C][C]99.8820295924989[/C][C]0.247210378941849[/C][/ROW]
[ROW][C]0.81[/C][C]99.9409416175515[/C][C]0.216981225437519[/C][/ROW]
[ROW][C]0.82[/C][C]99.9929135689898[/C][C]0.186435270939957[/C][/ROW]
[ROW][C]0.83[/C][C]100.038017113461[/C][C]0.157116976283286[/C][/ROW]
[ROW][C]0.84[/C][C]100.076707458045[/C][C]0.130401908897687[/C][/ROW]
[ROW][C]0.85[/C][C]100.10981661448[/C][C]0.107678662684962[/C][/ROW]
[ROW][C]0.86[/C][C]100.138506148143[/C][C]0.0898747439333382[/C][/ROW]
[ROW][C]0.87[/C][C]100.164200428592[/C][C]0.0775494711227254[/C][/ROW]
[ROW][C]0.88[/C][C]100.188503514261[/C][C]0.0710094272606105[/C][/ROW]
[ROW][C]0.89[/C][C]100.21307850369[/C][C]0.0700576891289064[/C][/ROW]
[ROW][C]0.9[/C][C]100.239468957048[/C][C]0.0736074139679117[/C][/ROW]
[ROW][C]0.91[/C][C]100.268894116445[/C][C]0.079674573366578[/C][/ROW]
[ROW][C]0.92[/C][C]100.302131943036[/C][C]0.0857296861455926[/C][/ROW]
[ROW][C]0.93[/C][C]100.339629651543[/C][C]0.0903559296947508[/C][/ROW]
[ROW][C]0.94[/C][C]100.381862889394[/C][C]0.0935863160718882[/C][/ROW]
[ROW][C]0.95[/C][C]100.429734610207[/C][C]0.0967548103075859[/C][/ROW]
[ROW][C]0.96[/C][C]100.484610658936[/C][C]0.100285139835789[/C][/ROW]
[ROW][C]0.97[/C][C]100.547459986314[/C][C]0.10230656552342[/C][/ROW]
[ROW][C]0.98[/C][C]100.616297470138[/C][C]0.0965877090113155[/C][/ROW]
[ROW][C]0.99[/C][C]100.681051147524[/C][C]0.076833756233793[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281487&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281487&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
0.0186.12724256502360.324016795527011
0.0286.34298273363240.219283611242282
0.0386.51309445778720.2025540097826
0.0486.64948517953240.223362916181375
0.0586.77940925727460.274323521637822
0.0686.92318877983030.369426896403394
0.0787.09713818197760.507842377876218
0.0887.31348334311050.674033194744297
0.0987.57759676016980.843746931306433
0.187.8864526986360.991173823788999
0.1188.22939955351881.09613791038902
0.1288.59069258157971.14683970625429
0.1388.9527075129211.14100969719299
0.1489.2988768485181.08361794106369
0.1589.61582483342630.985612105800671
0.1689.89457436944080.860804741025856
0.1790.1308971319840.724951823256125
0.1890.32494243322810.592177635716707
0.1990.48032745534510.473711376790782
0.290.60293227673190.376380699678404
0.2190.69967328603510.303036411121001
0.2290.77748707032130.25342065058374
0.2390.84265250018790.224847843652371
0.2490.90045884794210.214155687645377
0.2590.95514061099670.217302765403728
0.2691.00996737108660.231221064241863
0.2791.06739214296130.253109440313149
0.2891.12920043489180.280481090947025
0.2991.19664035789480.311739204659386
0.391.27053697394530.345318691202111
0.3191.35139908539170.380340457214746
0.3291.43952001211240.416189405447771
0.3391.53506501260860.452761274969151
0.3491.63813456677220.490058298163468
0.3591.74879770084440.528122580102829
0.3691.86710061012780.566590721866503
0.3791.99306716978230.605253868733391
0.3892.1267130691760.643850493491819
0.3992.26809026828070.682608505133831
0.492.41736368133720.721931260559027
0.4192.57490240425260.763424342429001
0.4292.74135114512720.808794359465692
0.4392.91764132649970.859747941586765
0.4493.10490994543680.917710830865819
0.4593.30431695763880.981973885013235
0.4693.51678277219221.05071201576676
0.4793.74269704898041.1201095620778
0.4893.98166855088481.18503928242273
0.4994.2323861922031.24060801463216
0.594.49264160433131.2817248740615
0.5194.75952741860991.30550991851141
0.5295.02978200114851.31139086316823
0.5395.30021218342391.30058513376499
0.5495.56810169866641.2769984895258
0.5595.83151197775731.24547463350594
0.5696.08940521786471.21144089941756
0.5796.34156216089621.17916641012573
0.5896.58831820296011.1512150627264
0.5996.83018774906761.12744068838904
0.697.06747524302771.10559155898468
0.6197.29997356685551.08152512282636
0.6297.52682528554241.05162022477598
0.6397.74657643307281.01258850092278
0.6497.9573996401830.96318712483603
0.6598.15741933815130.90397576655162
0.6698.3450496629680.837367251667457
0.6798.51926112962040.76719567885343
0.6898.67972112438420.697139397957649
0.6998.82679381581770.630854235347131
0.798.96142232431920.570802053711225
0.7199.08493828934920.518218886279853
0.7299.19884744564490.473579933072742
0.7399.30462891023270.436011505890883
0.7499.40356991257290.40436712002538
0.7599.49664539745590.377030057264824
0.7699.58444703653240.352171012350385
0.7799.66716647210560.327936126615375
0.7899.74463748441110.302883283630461
0.7999.81643648149270.275993466393995
0.899.88202959249890.247210378941849
0.8199.94094161755150.216981225437519
0.8299.99291356898980.186435270939957
0.83100.0380171134610.157116976283286
0.84100.0767074580450.130401908897687
0.85100.109816614480.107678662684962
0.86100.1385061481430.0898747439333382
0.87100.1642004285920.0775494711227254
0.88100.1885035142610.0710094272606105
0.89100.213078503690.0700576891289064
0.9100.2394689570480.0736074139679117
0.91100.2688941164450.079674573366578
0.92100.3021319430360.0857296861455926
0.93100.3396296515430.0903559296947508
0.94100.3818628893940.0935863160718882
0.95100.4297346102070.0967548103075859
0.96100.4846106589360.100285139835789
0.97100.5474599863140.10230656552342
0.98100.6162974701380.0965877090113155
0.99100.6810511475240.076833756233793


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')