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 computationMon, 14 Mar 2016 18:12:23 +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/14/t145797927823umn5ltjfnlbgq.htm/, Retrieved Mon, 29 Apr 2024 07:06:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=294022, Retrieved Mon, 29 Apr 2024 07:06:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact88

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] [] [2016-03-14 18:12:23] [70e23d918d09c907c02097a361cd6415] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
81,83
82,58
82,6
82,71
82,98
83,11
83,22
83,32
83,39
83,45
83,52
83,59
83,97
84,48
84,8
84,93
85,14
85,22
85,54
85,5
85,61
85,75
85,89
85,94
86,08
86,3
86,97
87,3
87,62
87,59
87,78
87,87
88,17
88,67
88,84
88,9
88,98
89,27
89,69
89,72
89,79
89,82
89,98
90,09
90,31
90,3
90,48
90,52
90,53
91,38
91,87
91,9
92,08
92,14
92,09
92,32
92,67
92,78
92,96
93,12
93,32
94,12
94,34
94,52
94,81
94,95
94,99
95,03
95,16
95,41
95,46
95,62
95,66
95,96
96,18
96,24
97,03
97,11
97,28
97,74
97,83
98,14
98,18
98,21
98,43
98,67
99,51
99,64
99,83
99,84
99,94
100,17
100,56
101,05
101,17
101,21
101,01
101,92
102,33
102,41
102,5
102,69
102,98
103,11
103,36
103,8
104,07
104,15
104,19
104,64
104,98
105,25
105,43
105,59
105,84
105,87
106
106,14
106,24
106,31

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=294022&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=294022&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=294022&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0182.19218785939990.440766415465338
0.0282.54904370118490.246206662592958
0.0382.77652045209240.249598343343322
0.0482.95376780234170.268102360405951
0.0583.11464276095830.27126315991538
0.0683.26648992162530.29170296167192
0.0783.42097813577270.35290788637679
0.0883.59345961548070.45065131397917
0.0983.79458625297710.560131128888051
0.184.02522346922170.652290041592575
0.1184.27670060926870.706050114246099
0.1284.53520717611350.716506360012687
0.1384.78756476767770.694754167994349
0.1485.02560149237690.660383946711146
0.1585.24775630929020.633963326572702
0.1685.45816099151650.630113067729893
0.1785.66430442941570.655663235228221
0.1885.87439287938890.70764155657682
0.1986.09514473161230.776799297999115
0.286.33039883629260.85086520214164
0.2186.58066747642920.917554927047701
0.2286.84355909972990.968469135788384
0.2387.11479811019371.00004073403199
0.2487.38943803201511.01268667389793
0.2587.66287565711841.00990861915543
0.2687.93143136552840.996022766790189
0.2788.19248251032480.974157061910107
0.2888.44431142250.946769157849097
0.2988.68588770052110.915381860399317
0.388.91674900428670.881613634999839
0.3189.13703149631550.848018688016298
0.3289.34759584199780.818364705657659
0.3389.55013869339230.796572929015839
0.3489.74718150685830.7865820600909
0.3589.94187443182240.791337182143185
0.3690.13762043378240.811012741451511
0.3790.33759148053690.843594358533713
0.3890.54425508619310.884518785334393
0.3990.75904071117970.92800847215687
0.490.98224437866210.968701438182003
0.4191.21320193776831.00284328080743
0.4291.45067652506271.0292726042243
0.4391.69333338456941.04918704832705
0.4491.94014358635231.0654831978232
0.4592.19058215890921.08138174210575
0.4692.44455948587371.09861211109229
0.4792.70212161545941.11730923898938
0.4892.9630399491111.13420841120458
0.4993.22645277358241.14574604044755
0.593.49070582606941.14731924621217
0.5193.75347312399841.1359736737336
0.5294.012146616971.11123785842729
0.5394.26439549296281.07547592811841
0.5494.50874108915121.03420208329411
0.5594.74498648659920.994276218044039
0.5694.97437987543440.963002209642504
0.5795.19946265436260.945830402157944
0.5895.42363476325710.946102851146304
0.5995.65053919814860.962994012455949
0.695.88340929650920.992823388210561
0.6196.12452851106751.02963719214244
0.6296.37492273779671.06697000212817
0.6396.63434590613221.09880516415484
0.6496.90154282643311.12171963043508
0.6597.17469799661141.13462225030233
0.6697.4519281920021.13832457690217
0.6797.73167068857151.13587104225763
0.6898.01286567183751.12994036857117
0.6998.29491736652321.12269369280183
0.798.5775095194591.1144373720368
0.7198.86040519645491.1046352586738
0.7299.14335032325371.09254530598161
0.7399.42612864690751.07828978919507
0.7499.70871960877891.06298075076557
0.7599.99144125244131.04861150007836
0.76100.2749552145231.03690550085776
0.77100.5600742158121.02828538971912
0.78100.847415512891.02136600719352
0.79101.1370403845981.01330124895844
0.8101.4282635391371.00050714143681
0.81101.7197734662650.980425071025745
0.82102.0100701649820.953116752272718
0.83102.2980473800310.920715849436407
0.84102.583428175170.887707856715848
0.85102.8668192359070.857436891616282
0.86103.1493932324720.83112836729466
0.87103.4324689179040.807334953408074
0.88103.7172631054640.784406972264232
0.89104.0047407324650.761930452721444
0.9104.2951098896530.738527168094147
0.91104.586656259190.708832266478894
0.92104.8744244882570.663365749092661
0.93105.15001288560.594436530285751
0.94105.4034985631150.503124778834882
0.95105.6272083996980.400551443281845
0.96105.8194175279050.303943573598275
0.97105.984664904130.227188474058671
0.98106.1280807575540.165753692739808
0.99106.2451192261960.104253735245962

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 82.1921878593999 & 0.440766415465338 \tabularnewline
0.02 & 82.5490437011849 & 0.246206662592958 \tabularnewline
0.03 & 82.7765204520924 & 0.249598343343322 \tabularnewline
0.04 & 82.9537678023417 & 0.268102360405951 \tabularnewline
0.05 & 83.1146427609583 & 0.27126315991538 \tabularnewline
0.06 & 83.2664899216253 & 0.29170296167192 \tabularnewline
0.07 & 83.4209781357727 & 0.35290788637679 \tabularnewline
0.08 & 83.5934596154807 & 0.45065131397917 \tabularnewline
0.09 & 83.7945862529771 & 0.560131128888051 \tabularnewline
0.1 & 84.0252234692217 & 0.652290041592575 \tabularnewline
0.11 & 84.2767006092687 & 0.706050114246099 \tabularnewline
0.12 & 84.5352071761135 & 0.716506360012687 \tabularnewline
0.13 & 84.7875647676777 & 0.694754167994349 \tabularnewline
0.14 & 85.0256014923769 & 0.660383946711146 \tabularnewline
0.15 & 85.2477563092902 & 0.633963326572702 \tabularnewline
0.16 & 85.4581609915165 & 0.630113067729893 \tabularnewline
0.17 & 85.6643044294157 & 0.655663235228221 \tabularnewline
0.18 & 85.8743928793889 & 0.70764155657682 \tabularnewline
0.19 & 86.0951447316123 & 0.776799297999115 \tabularnewline
0.2 & 86.3303988362926 & 0.85086520214164 \tabularnewline
0.21 & 86.5806674764292 & 0.917554927047701 \tabularnewline
0.22 & 86.8435590997299 & 0.968469135788384 \tabularnewline
0.23 & 87.1147981101937 & 1.00004073403199 \tabularnewline
0.24 & 87.3894380320151 & 1.01268667389793 \tabularnewline
0.25 & 87.6628756571184 & 1.00990861915543 \tabularnewline
0.26 & 87.9314313655284 & 0.996022766790189 \tabularnewline
0.27 & 88.1924825103248 & 0.974157061910107 \tabularnewline
0.28 & 88.4443114225 & 0.946769157849097 \tabularnewline
0.29 & 88.6858877005211 & 0.915381860399317 \tabularnewline
0.3 & 88.9167490042867 & 0.881613634999839 \tabularnewline
0.31 & 89.1370314963155 & 0.848018688016298 \tabularnewline
0.32 & 89.3475958419978 & 0.818364705657659 \tabularnewline
0.33 & 89.5501386933923 & 0.796572929015839 \tabularnewline
0.34 & 89.7471815068583 & 0.7865820600909 \tabularnewline
0.35 & 89.9418744318224 & 0.791337182143185 \tabularnewline
0.36 & 90.1376204337824 & 0.811012741451511 \tabularnewline
0.37 & 90.3375914805369 & 0.843594358533713 \tabularnewline
0.38 & 90.5442550861931 & 0.884518785334393 \tabularnewline
0.39 & 90.7590407111797 & 0.92800847215687 \tabularnewline
0.4 & 90.9822443786621 & 0.968701438182003 \tabularnewline
0.41 & 91.2132019377683 & 1.00284328080743 \tabularnewline
0.42 & 91.4506765250627 & 1.0292726042243 \tabularnewline
0.43 & 91.6933333845694 & 1.04918704832705 \tabularnewline
0.44 & 91.9401435863523 & 1.0654831978232 \tabularnewline
0.45 & 92.1905821589092 & 1.08138174210575 \tabularnewline
0.46 & 92.4445594858737 & 1.09861211109229 \tabularnewline
0.47 & 92.7021216154594 & 1.11730923898938 \tabularnewline
0.48 & 92.963039949111 & 1.13420841120458 \tabularnewline
0.49 & 93.2264527735824 & 1.14574604044755 \tabularnewline
0.5 & 93.4907058260694 & 1.14731924621217 \tabularnewline
0.51 & 93.7534731239984 & 1.1359736737336 \tabularnewline
0.52 & 94.01214661697 & 1.11123785842729 \tabularnewline
0.53 & 94.2643954929628 & 1.07547592811841 \tabularnewline
0.54 & 94.5087410891512 & 1.03420208329411 \tabularnewline
0.55 & 94.7449864865992 & 0.994276218044039 \tabularnewline
0.56 & 94.9743798754344 & 0.963002209642504 \tabularnewline
0.57 & 95.1994626543626 & 0.945830402157944 \tabularnewline
0.58 & 95.4236347632571 & 0.946102851146304 \tabularnewline
0.59 & 95.6505391981486 & 0.962994012455949 \tabularnewline
0.6 & 95.8834092965092 & 0.992823388210561 \tabularnewline
0.61 & 96.1245285110675 & 1.02963719214244 \tabularnewline
0.62 & 96.3749227377967 & 1.06697000212817 \tabularnewline
0.63 & 96.6343459061322 & 1.09880516415484 \tabularnewline
0.64 & 96.9015428264331 & 1.12171963043508 \tabularnewline
0.65 & 97.1746979966114 & 1.13462225030233 \tabularnewline
0.66 & 97.451928192002 & 1.13832457690217 \tabularnewline
0.67 & 97.7316706885715 & 1.13587104225763 \tabularnewline
0.68 & 98.0128656718375 & 1.12994036857117 \tabularnewline
0.69 & 98.2949173665232 & 1.12269369280183 \tabularnewline
0.7 & 98.577509519459 & 1.1144373720368 \tabularnewline
0.71 & 98.8604051964549 & 1.1046352586738 \tabularnewline
0.72 & 99.1433503232537 & 1.09254530598161 \tabularnewline
0.73 & 99.4261286469075 & 1.07828978919507 \tabularnewline
0.74 & 99.7087196087789 & 1.06298075076557 \tabularnewline
0.75 & 99.9914412524413 & 1.04861150007836 \tabularnewline
0.76 & 100.274955214523 & 1.03690550085776 \tabularnewline
0.77 & 100.560074215812 & 1.02828538971912 \tabularnewline
0.78 & 100.84741551289 & 1.02136600719352 \tabularnewline
0.79 & 101.137040384598 & 1.01330124895844 \tabularnewline
0.8 & 101.428263539137 & 1.00050714143681 \tabularnewline
0.81 & 101.719773466265 & 0.980425071025745 \tabularnewline
0.82 & 102.010070164982 & 0.953116752272718 \tabularnewline
0.83 & 102.298047380031 & 0.920715849436407 \tabularnewline
0.84 & 102.58342817517 & 0.887707856715848 \tabularnewline
0.85 & 102.866819235907 & 0.857436891616282 \tabularnewline
0.86 & 103.149393232472 & 0.83112836729466 \tabularnewline
0.87 & 103.432468917904 & 0.807334953408074 \tabularnewline
0.88 & 103.717263105464 & 0.784406972264232 \tabularnewline
0.89 & 104.004740732465 & 0.761930452721444 \tabularnewline
0.9 & 104.295109889653 & 0.738527168094147 \tabularnewline
0.91 & 104.58665625919 & 0.708832266478894 \tabularnewline
0.92 & 104.874424488257 & 0.663365749092661 \tabularnewline
0.93 & 105.1500128856 & 0.594436530285751 \tabularnewline
0.94 & 105.403498563115 & 0.503124778834882 \tabularnewline
0.95 & 105.627208399698 & 0.400551443281845 \tabularnewline
0.96 & 105.819417527905 & 0.303943573598275 \tabularnewline
0.97 & 105.98466490413 & 0.227188474058671 \tabularnewline
0.98 & 106.128080757554 & 0.165753692739808 \tabularnewline
0.99 & 106.245119226196 & 0.104253735245962 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=294022&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]82.1921878593999[/C][C]0.440766415465338[/C][/ROW]
[ROW][C]0.02[/C][C]82.5490437011849[/C][C]0.246206662592958[/C][/ROW]
[ROW][C]0.03[/C][C]82.7765204520924[/C][C]0.249598343343322[/C][/ROW]
[ROW][C]0.04[/C][C]82.9537678023417[/C][C]0.268102360405951[/C][/ROW]
[ROW][C]0.05[/C][C]83.1146427609583[/C][C]0.27126315991538[/C][/ROW]
[ROW][C]0.06[/C][C]83.2664899216253[/C][C]0.29170296167192[/C][/ROW]
[ROW][C]0.07[/C][C]83.4209781357727[/C][C]0.35290788637679[/C][/ROW]
[ROW][C]0.08[/C][C]83.5934596154807[/C][C]0.45065131397917[/C][/ROW]
[ROW][C]0.09[/C][C]83.7945862529771[/C][C]0.560131128888051[/C][/ROW]
[ROW][C]0.1[/C][C]84.0252234692217[/C][C]0.652290041592575[/C][/ROW]
[ROW][C]0.11[/C][C]84.2767006092687[/C][C]0.706050114246099[/C][/ROW]
[ROW][C]0.12[/C][C]84.5352071761135[/C][C]0.716506360012687[/C][/ROW]
[ROW][C]0.13[/C][C]84.7875647676777[/C][C]0.694754167994349[/C][/ROW]
[ROW][C]0.14[/C][C]85.0256014923769[/C][C]0.660383946711146[/C][/ROW]
[ROW][C]0.15[/C][C]85.2477563092902[/C][C]0.633963326572702[/C][/ROW]
[ROW][C]0.16[/C][C]85.4581609915165[/C][C]0.630113067729893[/C][/ROW]
[ROW][C]0.17[/C][C]85.6643044294157[/C][C]0.655663235228221[/C][/ROW]
[ROW][C]0.18[/C][C]85.8743928793889[/C][C]0.70764155657682[/C][/ROW]
[ROW][C]0.19[/C][C]86.0951447316123[/C][C]0.776799297999115[/C][/ROW]
[ROW][C]0.2[/C][C]86.3303988362926[/C][C]0.85086520214164[/C][/ROW]
[ROW][C]0.21[/C][C]86.5806674764292[/C][C]0.917554927047701[/C][/ROW]
[ROW][C]0.22[/C][C]86.8435590997299[/C][C]0.968469135788384[/C][/ROW]
[ROW][C]0.23[/C][C]87.1147981101937[/C][C]1.00004073403199[/C][/ROW]
[ROW][C]0.24[/C][C]87.3894380320151[/C][C]1.01268667389793[/C][/ROW]
[ROW][C]0.25[/C][C]87.6628756571184[/C][C]1.00990861915543[/C][/ROW]
[ROW][C]0.26[/C][C]87.9314313655284[/C][C]0.996022766790189[/C][/ROW]
[ROW][C]0.27[/C][C]88.1924825103248[/C][C]0.974157061910107[/C][/ROW]
[ROW][C]0.28[/C][C]88.4443114225[/C][C]0.946769157849097[/C][/ROW]
[ROW][C]0.29[/C][C]88.6858877005211[/C][C]0.915381860399317[/C][/ROW]
[ROW][C]0.3[/C][C]88.9167490042867[/C][C]0.881613634999839[/C][/ROW]
[ROW][C]0.31[/C][C]89.1370314963155[/C][C]0.848018688016298[/C][/ROW]
[ROW][C]0.32[/C][C]89.3475958419978[/C][C]0.818364705657659[/C][/ROW]
[ROW][C]0.33[/C][C]89.5501386933923[/C][C]0.796572929015839[/C][/ROW]
[ROW][C]0.34[/C][C]89.7471815068583[/C][C]0.7865820600909[/C][/ROW]
[ROW][C]0.35[/C][C]89.9418744318224[/C][C]0.791337182143185[/C][/ROW]
[ROW][C]0.36[/C][C]90.1376204337824[/C][C]0.811012741451511[/C][/ROW]
[ROW][C]0.37[/C][C]90.3375914805369[/C][C]0.843594358533713[/C][/ROW]
[ROW][C]0.38[/C][C]90.5442550861931[/C][C]0.884518785334393[/C][/ROW]
[ROW][C]0.39[/C][C]90.7590407111797[/C][C]0.92800847215687[/C][/ROW]
[ROW][C]0.4[/C][C]90.9822443786621[/C][C]0.968701438182003[/C][/ROW]
[ROW][C]0.41[/C][C]91.2132019377683[/C][C]1.00284328080743[/C][/ROW]
[ROW][C]0.42[/C][C]91.4506765250627[/C][C]1.0292726042243[/C][/ROW]
[ROW][C]0.43[/C][C]91.6933333845694[/C][C]1.04918704832705[/C][/ROW]
[ROW][C]0.44[/C][C]91.9401435863523[/C][C]1.0654831978232[/C][/ROW]
[ROW][C]0.45[/C][C]92.1905821589092[/C][C]1.08138174210575[/C][/ROW]
[ROW][C]0.46[/C][C]92.4445594858737[/C][C]1.09861211109229[/C][/ROW]
[ROW][C]0.47[/C][C]92.7021216154594[/C][C]1.11730923898938[/C][/ROW]
[ROW][C]0.48[/C][C]92.963039949111[/C][C]1.13420841120458[/C][/ROW]
[ROW][C]0.49[/C][C]93.2264527735824[/C][C]1.14574604044755[/C][/ROW]
[ROW][C]0.5[/C][C]93.4907058260694[/C][C]1.14731924621217[/C][/ROW]
[ROW][C]0.51[/C][C]93.7534731239984[/C][C]1.1359736737336[/C][/ROW]
[ROW][C]0.52[/C][C]94.01214661697[/C][C]1.11123785842729[/C][/ROW]
[ROW][C]0.53[/C][C]94.2643954929628[/C][C]1.07547592811841[/C][/ROW]
[ROW][C]0.54[/C][C]94.5087410891512[/C][C]1.03420208329411[/C][/ROW]
[ROW][C]0.55[/C][C]94.7449864865992[/C][C]0.994276218044039[/C][/ROW]
[ROW][C]0.56[/C][C]94.9743798754344[/C][C]0.963002209642504[/C][/ROW]
[ROW][C]0.57[/C][C]95.1994626543626[/C][C]0.945830402157944[/C][/ROW]
[ROW][C]0.58[/C][C]95.4236347632571[/C][C]0.946102851146304[/C][/ROW]
[ROW][C]0.59[/C][C]95.6505391981486[/C][C]0.962994012455949[/C][/ROW]
[ROW][C]0.6[/C][C]95.8834092965092[/C][C]0.992823388210561[/C][/ROW]
[ROW][C]0.61[/C][C]96.1245285110675[/C][C]1.02963719214244[/C][/ROW]
[ROW][C]0.62[/C][C]96.3749227377967[/C][C]1.06697000212817[/C][/ROW]
[ROW][C]0.63[/C][C]96.6343459061322[/C][C]1.09880516415484[/C][/ROW]
[ROW][C]0.64[/C][C]96.9015428264331[/C][C]1.12171963043508[/C][/ROW]
[ROW][C]0.65[/C][C]97.1746979966114[/C][C]1.13462225030233[/C][/ROW]
[ROW][C]0.66[/C][C]97.451928192002[/C][C]1.13832457690217[/C][/ROW]
[ROW][C]0.67[/C][C]97.7316706885715[/C][C]1.13587104225763[/C][/ROW]
[ROW][C]0.68[/C][C]98.0128656718375[/C][C]1.12994036857117[/C][/ROW]
[ROW][C]0.69[/C][C]98.2949173665232[/C][C]1.12269369280183[/C][/ROW]
[ROW][C]0.7[/C][C]98.577509519459[/C][C]1.1144373720368[/C][/ROW]
[ROW][C]0.71[/C][C]98.8604051964549[/C][C]1.1046352586738[/C][/ROW]
[ROW][C]0.72[/C][C]99.1433503232537[/C][C]1.09254530598161[/C][/ROW]
[ROW][C]0.73[/C][C]99.4261286469075[/C][C]1.07828978919507[/C][/ROW]
[ROW][C]0.74[/C][C]99.7087196087789[/C][C]1.06298075076557[/C][/ROW]
[ROW][C]0.75[/C][C]99.9914412524413[/C][C]1.04861150007836[/C][/ROW]
[ROW][C]0.76[/C][C]100.274955214523[/C][C]1.03690550085776[/C][/ROW]
[ROW][C]0.77[/C][C]100.560074215812[/C][C]1.02828538971912[/C][/ROW]
[ROW][C]0.78[/C][C]100.84741551289[/C][C]1.02136600719352[/C][/ROW]
[ROW][C]0.79[/C][C]101.137040384598[/C][C]1.01330124895844[/C][/ROW]
[ROW][C]0.8[/C][C]101.428263539137[/C][C]1.00050714143681[/C][/ROW]
[ROW][C]0.81[/C][C]101.719773466265[/C][C]0.980425071025745[/C][/ROW]
[ROW][C]0.82[/C][C]102.010070164982[/C][C]0.953116752272718[/C][/ROW]
[ROW][C]0.83[/C][C]102.298047380031[/C][C]0.920715849436407[/C][/ROW]
[ROW][C]0.84[/C][C]102.58342817517[/C][C]0.887707856715848[/C][/ROW]
[ROW][C]0.85[/C][C]102.866819235907[/C][C]0.857436891616282[/C][/ROW]
[ROW][C]0.86[/C][C]103.149393232472[/C][C]0.83112836729466[/C][/ROW]
[ROW][C]0.87[/C][C]103.432468917904[/C][C]0.807334953408074[/C][/ROW]
[ROW][C]0.88[/C][C]103.717263105464[/C][C]0.784406972264232[/C][/ROW]
[ROW][C]0.89[/C][C]104.004740732465[/C][C]0.761930452721444[/C][/ROW]
[ROW][C]0.9[/C][C]104.295109889653[/C][C]0.738527168094147[/C][/ROW]
[ROW][C]0.91[/C][C]104.58665625919[/C][C]0.708832266478894[/C][/ROW]
[ROW][C]0.92[/C][C]104.874424488257[/C][C]0.663365749092661[/C][/ROW]
[ROW][C]0.93[/C][C]105.1500128856[/C][C]0.594436530285751[/C][/ROW]
[ROW][C]0.94[/C][C]105.403498563115[/C][C]0.503124778834882[/C][/ROW]
[ROW][C]0.95[/C][C]105.627208399698[/C][C]0.400551443281845[/C][/ROW]
[ROW][C]0.96[/C][C]105.819417527905[/C][C]0.303943573598275[/C][/ROW]
[ROW][C]0.97[/C][C]105.98466490413[/C][C]0.227188474058671[/C][/ROW]
[ROW][C]0.98[/C][C]106.128080757554[/C][C]0.165753692739808[/C][/ROW]
[ROW][C]0.99[/C][C]106.245119226196[/C][C]0.104253735245962[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=294022&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=294022&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
0.0182.19218785939990.440766415465338
0.0282.54904370118490.246206662592958
0.0382.77652045209240.249598343343322
0.0482.95376780234170.268102360405951
0.0583.11464276095830.27126315991538
0.0683.26648992162530.29170296167192
0.0783.42097813577270.35290788637679
0.0883.59345961548070.45065131397917
0.0983.79458625297710.560131128888051
0.184.02522346922170.652290041592575
0.1184.27670060926870.706050114246099
0.1284.53520717611350.716506360012687
0.1384.78756476767770.694754167994349
0.1485.02560149237690.660383946711146
0.1585.24775630929020.633963326572702
0.1685.45816099151650.630113067729893
0.1785.66430442941570.655663235228221
0.1885.87439287938890.70764155657682
0.1986.09514473161230.776799297999115
0.286.33039883629260.85086520214164
0.2186.58066747642920.917554927047701
0.2286.84355909972990.968469135788384
0.2387.11479811019371.00004073403199
0.2487.38943803201511.01268667389793
0.2587.66287565711841.00990861915543
0.2687.93143136552840.996022766790189
0.2788.19248251032480.974157061910107
0.2888.44431142250.946769157849097
0.2988.68588770052110.915381860399317
0.388.91674900428670.881613634999839
0.3189.13703149631550.848018688016298
0.3289.34759584199780.818364705657659
0.3389.55013869339230.796572929015839
0.3489.74718150685830.7865820600909
0.3589.94187443182240.791337182143185
0.3690.13762043378240.811012741451511
0.3790.33759148053690.843594358533713
0.3890.54425508619310.884518785334393
0.3990.75904071117970.92800847215687
0.490.98224437866210.968701438182003
0.4191.21320193776831.00284328080743
0.4291.45067652506271.0292726042243
0.4391.69333338456941.04918704832705
0.4491.94014358635231.0654831978232
0.4592.19058215890921.08138174210575
0.4692.44455948587371.09861211109229
0.4792.70212161545941.11730923898938
0.4892.9630399491111.13420841120458
0.4993.22645277358241.14574604044755
0.593.49070582606941.14731924621217
0.5193.75347312399841.1359736737336
0.5294.012146616971.11123785842729
0.5394.26439549296281.07547592811841
0.5494.50874108915121.03420208329411
0.5594.74498648659920.994276218044039
0.5694.97437987543440.963002209642504
0.5795.19946265436260.945830402157944
0.5895.42363476325710.946102851146304
0.5995.65053919814860.962994012455949
0.695.88340929650920.992823388210561
0.6196.12452851106751.02963719214244
0.6296.37492273779671.06697000212817
0.6396.63434590613221.09880516415484
0.6496.90154282643311.12171963043508
0.6597.17469799661141.13462225030233
0.6697.4519281920021.13832457690217
0.6797.73167068857151.13587104225763
0.6898.01286567183751.12994036857117
0.6998.29491736652321.12269369280183
0.798.5775095194591.1144373720368
0.7198.86040519645491.1046352586738
0.7299.14335032325371.09254530598161
0.7399.42612864690751.07828978919507
0.7499.70871960877891.06298075076557
0.7599.99144125244131.04861150007836
0.76100.2749552145231.03690550085776
0.77100.5600742158121.02828538971912
0.78100.847415512891.02136600719352
0.79101.1370403845981.01330124895844
0.8101.4282635391371.00050714143681
0.81101.7197734662650.980425071025745
0.82102.0100701649820.953116752272718
0.83102.2980473800310.920715849436407
0.84102.583428175170.887707856715848
0.85102.8668192359070.857436891616282
0.86103.1493932324720.83112836729466
0.87103.4324689179040.807334953408074
0.88103.7172631054640.784406972264232
0.89104.0047407324650.761930452721444
0.9104.2951098896530.738527168094147
0.91104.586656259190.708832266478894
0.92104.8744244882570.663365749092661
0.93105.15001288560.594436530285751
0.94105.4034985631150.503124778834882
0.95105.6272083996980.400551443281845
0.96105.8194175279050.303943573598275
0.97105.984664904130.227188474058671
0.98106.1280807575540.165753692739808
0.99106.2451192261960.104253735245962


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')