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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 computationSat, 29 Dec 2012 09:37:33 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/29/t1356791921d0pde9l1nyj6alq.htm/, Retrieved Wed, 11 Feb 2026 17:13:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=204874, Retrieved Wed, 11 Feb 2026 17:13:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact358

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] [] [2012-12-29 14:37:33] [4fb632b17dd9b46a28f1faaf764882b5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
33.7
34.59
35.1
35.87
37.15
37.61
37.97
38.94
39.18
39.49
39.86
40.02
40.2
40.85
41.45
41.7
41.92
41.97
42.31
42.61
42.82
43.07
43.51
43.57
43.86
44.49
45.99
48.22
49.46
50.39
50.4
50.59
51.32
51.86
52.47
52.73
52.73
53.59
54.11
54.8
55.72
56.06
56.66
57.05
57.31
57.89
58.32
58.72
59.02
59.54
61.49
62.26
63.49
64.36
65.93
66.82
68.85
71.27
72.27
73.4
73.58
74.84
75.74
77.81
78.74
79.06
79.48
81.19
85.11
86.64
88.48
89.2

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=204874&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=204874&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=204874&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
0.0133.99391088146030.824133738920226
0.0234.45884541665170.850980130248397
0.0334.98477171218840.986287626376691
0.0435.52315816336831.14178401988024
0.0536.05915916348131.24719821483456
0.0636.58195390450571.2844769340512
0.0737.07924492149851.26861192910621
0.0837.54149662511111.2239399843537
0.0937.9646390669271.16917856574499
0.138.34951069580821.11431252606113
0.1138.69997274104291.06444933117247
0.1239.0212710325861.0235438695179
0.1339.31905273838440.995215066913137
0.1439.59880656999660.981258547314905
0.1539.86544256415660.980640339129716
0.1640.12292007963760.988982111481887
0.1740.37399347550481.00061230471942
0.1840.62017807279561.01022324345941
0.1940.86197568910911.01449443890504
0.241.09931029312411.01292923192178
0.2141.33206404761331.00792504933181
0.2241.56059154365571.00439169804579
0.2341.78611700194471.00867376298318
0.2442.0109642811791.02780846135927
0.2542.23861156897571.06851304159884
0.2642.47358880283471.136686383089
0.2742.72124404945461.23628586884008
0.2842.98740165953421.36908064797237
0.2943.27793007206381.53427104493442
0.343.5982391113581.72758800885515
0.3143.95273862644891.94185241145411
0.3244.34430914667562.16679539717985
0.3344.7738529659282.38997438293783
0.3445.24000155327392.59768642373441
0.3545.73904575756592.77656833013558
0.3646.26512751564862.91536202524313
0.3746.81069033499873.00591167970367
0.3847.36714009174933.04436000048883
0.3947.9256288877353.03187986681732
0.448.47785244521172.97398569372822
0.4149.01675093017352.87986913530613
0.4249.53702356954262.76114604586547
0.4350.03540313423882.63028981107934
0.4450.5106783247682.49930615181059
0.4550.96349097914742.37829001045512
0.4651.39596364076572.27463312653561
0.4751.8112278443022.19260062944567
0.4852.21292478307852.13340392496727
0.4952.60474092544782.09530164079985
0.552.99002602092662.07471609684058
0.5153.3715238795212.06676963466684
0.5253.75123016987152.0662722679711
0.5354.13037760866392.06830071770918
0.5454.50953749538232.06908954315759
0.5554.88881725389072.06633064228163
0.5655.26812620988812.05959226349949
0.5755.64747636773142.0501424347492
0.5856.02728192311832.04121842047986
0.5956.4086212753652.03758725255712
0.656.79342886738562.04470189502389
0.6157.1845914191352.068581447651
0.6257.58593370092872.11475763658138
0.6358.00209205589892.18744227865251
0.6458.43828798319172.288713429107
0.6558.90002719454462.41859156827949
0.6659.39275914790462.57455950335845
0.6759.92153559074392.75226543613541
0.6860.49070230707922.94594018148373
0.6961.10364602197583.14897094907995
0.761.76260089163733.35454908030552
0.7162.46850163671313.55582406921094
0.7263.22086039068033.74608838406483
0.7364.01764835795863.91830002464263
0.7464.85518414730724.06506587419966
0.7565.72806402010414.17832748909055
0.7666.62920312085874.25027868237261
0.7767.55007310250214.27407525283543
0.7868.48120278897144.24547843081436
0.7969.41294618363664.16473171422266
0.870.33642568716254.03726470243248
0.8171.24445941435163.87414290987585
0.8272.13222907310263.69015848249703
0.8372.9974895982833.50068132071525
0.8473.84028993496533.31802586781598
0.8574.66243922140373.14823965165302
0.8675.4672147803212.99138192463066
0.8776.25990258405162.84613737310861
0.8877.04950600721182.71737000283354
0.8977.85126007412792.62355379630675
0.978.68857912161772.59775018116913
0.9179.5922217400672.67317985309378
0.9280.59454788233862.85266880802209
0.9381.71844752093233.08222088716573
0.9482.96368538397133.25605431200835
0.9584.29640051781983.25529779399209
0.9685.64758783251193.00067263639678
0.9786.92173919161012.48838587282073
0.9888.00960188541961.79443838259838
0.9988.79889665644251.09750167605593

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 33.9939108814603 & 0.824133738920226 \tabularnewline
0.02 & 34.4588454166517 & 0.850980130248397 \tabularnewline
0.03 & 34.9847717121884 & 0.986287626376691 \tabularnewline
0.04 & 35.5231581633683 & 1.14178401988024 \tabularnewline
0.05 & 36.0591591634813 & 1.24719821483456 \tabularnewline
0.06 & 36.5819539045057 & 1.2844769340512 \tabularnewline
0.07 & 37.0792449214985 & 1.26861192910621 \tabularnewline
0.08 & 37.5414966251111 & 1.2239399843537 \tabularnewline
0.09 & 37.964639066927 & 1.16917856574499 \tabularnewline
0.1 & 38.3495106958082 & 1.11431252606113 \tabularnewline
0.11 & 38.6999727410429 & 1.06444933117247 \tabularnewline
0.12 & 39.021271032586 & 1.0235438695179 \tabularnewline
0.13 & 39.3190527383844 & 0.995215066913137 \tabularnewline
0.14 & 39.5988065699966 & 0.981258547314905 \tabularnewline
0.15 & 39.8654425641566 & 0.980640339129716 \tabularnewline
0.16 & 40.1229200796376 & 0.988982111481887 \tabularnewline
0.17 & 40.3739934755048 & 1.00061230471942 \tabularnewline
0.18 & 40.6201780727956 & 1.01022324345941 \tabularnewline
0.19 & 40.8619756891091 & 1.01449443890504 \tabularnewline
0.2 & 41.0993102931241 & 1.01292923192178 \tabularnewline
0.21 & 41.3320640476133 & 1.00792504933181 \tabularnewline
0.22 & 41.5605915436557 & 1.00439169804579 \tabularnewline
0.23 & 41.7861170019447 & 1.00867376298318 \tabularnewline
0.24 & 42.010964281179 & 1.02780846135927 \tabularnewline
0.25 & 42.2386115689757 & 1.06851304159884 \tabularnewline
0.26 & 42.4735888028347 & 1.136686383089 \tabularnewline
0.27 & 42.7212440494546 & 1.23628586884008 \tabularnewline
0.28 & 42.9874016595342 & 1.36908064797237 \tabularnewline
0.29 & 43.2779300720638 & 1.53427104493442 \tabularnewline
0.3 & 43.598239111358 & 1.72758800885515 \tabularnewline
0.31 & 43.9527386264489 & 1.94185241145411 \tabularnewline
0.32 & 44.3443091466756 & 2.16679539717985 \tabularnewline
0.33 & 44.773852965928 & 2.38997438293783 \tabularnewline
0.34 & 45.2400015532739 & 2.59768642373441 \tabularnewline
0.35 & 45.7390457575659 & 2.77656833013558 \tabularnewline
0.36 & 46.2651275156486 & 2.91536202524313 \tabularnewline
0.37 & 46.8106903349987 & 3.00591167970367 \tabularnewline
0.38 & 47.3671400917493 & 3.04436000048883 \tabularnewline
0.39 & 47.925628887735 & 3.03187986681732 \tabularnewline
0.4 & 48.4778524452117 & 2.97398569372822 \tabularnewline
0.41 & 49.0167509301735 & 2.87986913530613 \tabularnewline
0.42 & 49.5370235695426 & 2.76114604586547 \tabularnewline
0.43 & 50.0354031342388 & 2.63028981107934 \tabularnewline
0.44 & 50.510678324768 & 2.49930615181059 \tabularnewline
0.45 & 50.9634909791474 & 2.37829001045512 \tabularnewline
0.46 & 51.3959636407657 & 2.27463312653561 \tabularnewline
0.47 & 51.811227844302 & 2.19260062944567 \tabularnewline
0.48 & 52.2129247830785 & 2.13340392496727 \tabularnewline
0.49 & 52.6047409254478 & 2.09530164079985 \tabularnewline
0.5 & 52.9900260209266 & 2.07471609684058 \tabularnewline
0.51 & 53.371523879521 & 2.06676963466684 \tabularnewline
0.52 & 53.7512301698715 & 2.0662722679711 \tabularnewline
0.53 & 54.1303776086639 & 2.06830071770918 \tabularnewline
0.54 & 54.5095374953823 & 2.06908954315759 \tabularnewline
0.55 & 54.8888172538907 & 2.06633064228163 \tabularnewline
0.56 & 55.2681262098881 & 2.05959226349949 \tabularnewline
0.57 & 55.6474763677314 & 2.0501424347492 \tabularnewline
0.58 & 56.0272819231183 & 2.04121842047986 \tabularnewline
0.59 & 56.408621275365 & 2.03758725255712 \tabularnewline
0.6 & 56.7934288673856 & 2.04470189502389 \tabularnewline
0.61 & 57.184591419135 & 2.068581447651 \tabularnewline
0.62 & 57.5859337009287 & 2.11475763658138 \tabularnewline
0.63 & 58.0020920558989 & 2.18744227865251 \tabularnewline
0.64 & 58.4382879831917 & 2.288713429107 \tabularnewline
0.65 & 58.9000271945446 & 2.41859156827949 \tabularnewline
0.66 & 59.3927591479046 & 2.57455950335845 \tabularnewline
0.67 & 59.9215355907439 & 2.75226543613541 \tabularnewline
0.68 & 60.4907023070792 & 2.94594018148373 \tabularnewline
0.69 & 61.1036460219758 & 3.14897094907995 \tabularnewline
0.7 & 61.7626008916373 & 3.35454908030552 \tabularnewline
0.71 & 62.4685016367131 & 3.55582406921094 \tabularnewline
0.72 & 63.2208603906803 & 3.74608838406483 \tabularnewline
0.73 & 64.0176483579586 & 3.91830002464263 \tabularnewline
0.74 & 64.8551841473072 & 4.06506587419966 \tabularnewline
0.75 & 65.7280640201041 & 4.17832748909055 \tabularnewline
0.76 & 66.6292031208587 & 4.25027868237261 \tabularnewline
0.77 & 67.5500731025021 & 4.27407525283543 \tabularnewline
0.78 & 68.4812027889714 & 4.24547843081436 \tabularnewline
0.79 & 69.4129461836366 & 4.16473171422266 \tabularnewline
0.8 & 70.3364256871625 & 4.03726470243248 \tabularnewline
0.81 & 71.2444594143516 & 3.87414290987585 \tabularnewline
0.82 & 72.1322290731026 & 3.69015848249703 \tabularnewline
0.83 & 72.997489598283 & 3.50068132071525 \tabularnewline
0.84 & 73.8402899349653 & 3.31802586781598 \tabularnewline
0.85 & 74.6624392214037 & 3.14823965165302 \tabularnewline
0.86 & 75.467214780321 & 2.99138192463066 \tabularnewline
0.87 & 76.2599025840516 & 2.84613737310861 \tabularnewline
0.88 & 77.0495060072118 & 2.71737000283354 \tabularnewline
0.89 & 77.8512600741279 & 2.62355379630675 \tabularnewline
0.9 & 78.6885791216177 & 2.59775018116913 \tabularnewline
0.91 & 79.592221740067 & 2.67317985309378 \tabularnewline
0.92 & 80.5945478823386 & 2.85266880802209 \tabularnewline
0.93 & 81.7184475209323 & 3.08222088716573 \tabularnewline
0.94 & 82.9636853839713 & 3.25605431200835 \tabularnewline
0.95 & 84.2964005178198 & 3.25529779399209 \tabularnewline
0.96 & 85.6475878325119 & 3.00067263639678 \tabularnewline
0.97 & 86.9217391916101 & 2.48838587282073 \tabularnewline
0.98 & 88.0096018854196 & 1.79443838259838 \tabularnewline
0.99 & 88.7988966564425 & 1.09750167605593 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=204874&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]33.9939108814603[/C][C]0.824133738920226[/C][/ROW]
[ROW][C]0.02[/C][C]34.4588454166517[/C][C]0.850980130248397[/C][/ROW]
[ROW][C]0.03[/C][C]34.9847717121884[/C][C]0.986287626376691[/C][/ROW]
[ROW][C]0.04[/C][C]35.5231581633683[/C][C]1.14178401988024[/C][/ROW]
[ROW][C]0.05[/C][C]36.0591591634813[/C][C]1.24719821483456[/C][/ROW]
[ROW][C]0.06[/C][C]36.5819539045057[/C][C]1.2844769340512[/C][/ROW]
[ROW][C]0.07[/C][C]37.0792449214985[/C][C]1.26861192910621[/C][/ROW]
[ROW][C]0.08[/C][C]37.5414966251111[/C][C]1.2239399843537[/C][/ROW]
[ROW][C]0.09[/C][C]37.964639066927[/C][C]1.16917856574499[/C][/ROW]
[ROW][C]0.1[/C][C]38.3495106958082[/C][C]1.11431252606113[/C][/ROW]
[ROW][C]0.11[/C][C]38.6999727410429[/C][C]1.06444933117247[/C][/ROW]
[ROW][C]0.12[/C][C]39.021271032586[/C][C]1.0235438695179[/C][/ROW]
[ROW][C]0.13[/C][C]39.3190527383844[/C][C]0.995215066913137[/C][/ROW]
[ROW][C]0.14[/C][C]39.5988065699966[/C][C]0.981258547314905[/C][/ROW]
[ROW][C]0.15[/C][C]39.8654425641566[/C][C]0.980640339129716[/C][/ROW]
[ROW][C]0.16[/C][C]40.1229200796376[/C][C]0.988982111481887[/C][/ROW]
[ROW][C]0.17[/C][C]40.3739934755048[/C][C]1.00061230471942[/C][/ROW]
[ROW][C]0.18[/C][C]40.6201780727956[/C][C]1.01022324345941[/C][/ROW]
[ROW][C]0.19[/C][C]40.8619756891091[/C][C]1.01449443890504[/C][/ROW]
[ROW][C]0.2[/C][C]41.0993102931241[/C][C]1.01292923192178[/C][/ROW]
[ROW][C]0.21[/C][C]41.3320640476133[/C][C]1.00792504933181[/C][/ROW]
[ROW][C]0.22[/C][C]41.5605915436557[/C][C]1.00439169804579[/C][/ROW]
[ROW][C]0.23[/C][C]41.7861170019447[/C][C]1.00867376298318[/C][/ROW]
[ROW][C]0.24[/C][C]42.010964281179[/C][C]1.02780846135927[/C][/ROW]
[ROW][C]0.25[/C][C]42.2386115689757[/C][C]1.06851304159884[/C][/ROW]
[ROW][C]0.26[/C][C]42.4735888028347[/C][C]1.136686383089[/C][/ROW]
[ROW][C]0.27[/C][C]42.7212440494546[/C][C]1.23628586884008[/C][/ROW]
[ROW][C]0.28[/C][C]42.9874016595342[/C][C]1.36908064797237[/C][/ROW]
[ROW][C]0.29[/C][C]43.2779300720638[/C][C]1.53427104493442[/C][/ROW]
[ROW][C]0.3[/C][C]43.598239111358[/C][C]1.72758800885515[/C][/ROW]
[ROW][C]0.31[/C][C]43.9527386264489[/C][C]1.94185241145411[/C][/ROW]
[ROW][C]0.32[/C][C]44.3443091466756[/C][C]2.16679539717985[/C][/ROW]
[ROW][C]0.33[/C][C]44.773852965928[/C][C]2.38997438293783[/C][/ROW]
[ROW][C]0.34[/C][C]45.2400015532739[/C][C]2.59768642373441[/C][/ROW]
[ROW][C]0.35[/C][C]45.7390457575659[/C][C]2.77656833013558[/C][/ROW]
[ROW][C]0.36[/C][C]46.2651275156486[/C][C]2.91536202524313[/C][/ROW]
[ROW][C]0.37[/C][C]46.8106903349987[/C][C]3.00591167970367[/C][/ROW]
[ROW][C]0.38[/C][C]47.3671400917493[/C][C]3.04436000048883[/C][/ROW]
[ROW][C]0.39[/C][C]47.925628887735[/C][C]3.03187986681732[/C][/ROW]
[ROW][C]0.4[/C][C]48.4778524452117[/C][C]2.97398569372822[/C][/ROW]
[ROW][C]0.41[/C][C]49.0167509301735[/C][C]2.87986913530613[/C][/ROW]
[ROW][C]0.42[/C][C]49.5370235695426[/C][C]2.76114604586547[/C][/ROW]
[ROW][C]0.43[/C][C]50.0354031342388[/C][C]2.63028981107934[/C][/ROW]
[ROW][C]0.44[/C][C]50.510678324768[/C][C]2.49930615181059[/C][/ROW]
[ROW][C]0.45[/C][C]50.9634909791474[/C][C]2.37829001045512[/C][/ROW]
[ROW][C]0.46[/C][C]51.3959636407657[/C][C]2.27463312653561[/C][/ROW]
[ROW][C]0.47[/C][C]51.811227844302[/C][C]2.19260062944567[/C][/ROW]
[ROW][C]0.48[/C][C]52.2129247830785[/C][C]2.13340392496727[/C][/ROW]
[ROW][C]0.49[/C][C]52.6047409254478[/C][C]2.09530164079985[/C][/ROW]
[ROW][C]0.5[/C][C]52.9900260209266[/C][C]2.07471609684058[/C][/ROW]
[ROW][C]0.51[/C][C]53.371523879521[/C][C]2.06676963466684[/C][/ROW]
[ROW][C]0.52[/C][C]53.7512301698715[/C][C]2.0662722679711[/C][/ROW]
[ROW][C]0.53[/C][C]54.1303776086639[/C][C]2.06830071770918[/C][/ROW]
[ROW][C]0.54[/C][C]54.5095374953823[/C][C]2.06908954315759[/C][/ROW]
[ROW][C]0.55[/C][C]54.8888172538907[/C][C]2.06633064228163[/C][/ROW]
[ROW][C]0.56[/C][C]55.2681262098881[/C][C]2.05959226349949[/C][/ROW]
[ROW][C]0.57[/C][C]55.6474763677314[/C][C]2.0501424347492[/C][/ROW]
[ROW][C]0.58[/C][C]56.0272819231183[/C][C]2.04121842047986[/C][/ROW]
[ROW][C]0.59[/C][C]56.408621275365[/C][C]2.03758725255712[/C][/ROW]
[ROW][C]0.6[/C][C]56.7934288673856[/C][C]2.04470189502389[/C][/ROW]
[ROW][C]0.61[/C][C]57.184591419135[/C][C]2.068581447651[/C][/ROW]
[ROW][C]0.62[/C][C]57.5859337009287[/C][C]2.11475763658138[/C][/ROW]
[ROW][C]0.63[/C][C]58.0020920558989[/C][C]2.18744227865251[/C][/ROW]
[ROW][C]0.64[/C][C]58.4382879831917[/C][C]2.288713429107[/C][/ROW]
[ROW][C]0.65[/C][C]58.9000271945446[/C][C]2.41859156827949[/C][/ROW]
[ROW][C]0.66[/C][C]59.3927591479046[/C][C]2.57455950335845[/C][/ROW]
[ROW][C]0.67[/C][C]59.9215355907439[/C][C]2.75226543613541[/C][/ROW]
[ROW][C]0.68[/C][C]60.4907023070792[/C][C]2.94594018148373[/C][/ROW]
[ROW][C]0.69[/C][C]61.1036460219758[/C][C]3.14897094907995[/C][/ROW]
[ROW][C]0.7[/C][C]61.7626008916373[/C][C]3.35454908030552[/C][/ROW]
[ROW][C]0.71[/C][C]62.4685016367131[/C][C]3.55582406921094[/C][/ROW]
[ROW][C]0.72[/C][C]63.2208603906803[/C][C]3.74608838406483[/C][/ROW]
[ROW][C]0.73[/C][C]64.0176483579586[/C][C]3.91830002464263[/C][/ROW]
[ROW][C]0.74[/C][C]64.8551841473072[/C][C]4.06506587419966[/C][/ROW]
[ROW][C]0.75[/C][C]65.7280640201041[/C][C]4.17832748909055[/C][/ROW]
[ROW][C]0.76[/C][C]66.6292031208587[/C][C]4.25027868237261[/C][/ROW]
[ROW][C]0.77[/C][C]67.5500731025021[/C][C]4.27407525283543[/C][/ROW]
[ROW][C]0.78[/C][C]68.4812027889714[/C][C]4.24547843081436[/C][/ROW]
[ROW][C]0.79[/C][C]69.4129461836366[/C][C]4.16473171422266[/C][/ROW]
[ROW][C]0.8[/C][C]70.3364256871625[/C][C]4.03726470243248[/C][/ROW]
[ROW][C]0.81[/C][C]71.2444594143516[/C][C]3.87414290987585[/C][/ROW]
[ROW][C]0.82[/C][C]72.1322290731026[/C][C]3.69015848249703[/C][/ROW]
[ROW][C]0.83[/C][C]72.997489598283[/C][C]3.50068132071525[/C][/ROW]
[ROW][C]0.84[/C][C]73.8402899349653[/C][C]3.31802586781598[/C][/ROW]
[ROW][C]0.85[/C][C]74.6624392214037[/C][C]3.14823965165302[/C][/ROW]
[ROW][C]0.86[/C][C]75.467214780321[/C][C]2.99138192463066[/C][/ROW]
[ROW][C]0.87[/C][C]76.2599025840516[/C][C]2.84613737310861[/C][/ROW]
[ROW][C]0.88[/C][C]77.0495060072118[/C][C]2.71737000283354[/C][/ROW]
[ROW][C]0.89[/C][C]77.8512600741279[/C][C]2.62355379630675[/C][/ROW]
[ROW][C]0.9[/C][C]78.6885791216177[/C][C]2.59775018116913[/C][/ROW]
[ROW][C]0.91[/C][C]79.592221740067[/C][C]2.67317985309378[/C][/ROW]
[ROW][C]0.92[/C][C]80.5945478823386[/C][C]2.85266880802209[/C][/ROW]
[ROW][C]0.93[/C][C]81.7184475209323[/C][C]3.08222088716573[/C][/ROW]
[ROW][C]0.94[/C][C]82.9636853839713[/C][C]3.25605431200835[/C][/ROW]
[ROW][C]0.95[/C][C]84.2964005178198[/C][C]3.25529779399209[/C][/ROW]
[ROW][C]0.96[/C][C]85.6475878325119[/C][C]3.00067263639678[/C][/ROW]
[ROW][C]0.97[/C][C]86.9217391916101[/C][C]2.48838587282073[/C][/ROW]
[ROW][C]0.98[/C][C]88.0096018854196[/C][C]1.79443838259838[/C][/ROW]
[ROW][C]0.99[/C][C]88.7988966564425[/C][C]1.09750167605593[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=204874&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=204874&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
0.0133.99391088146030.824133738920226
0.0234.45884541665170.850980130248397
0.0334.98477171218840.986287626376691
0.0435.52315816336831.14178401988024
0.0536.05915916348131.24719821483456
0.0636.58195390450571.2844769340512
0.0737.07924492149851.26861192910621
0.0837.54149662511111.2239399843537
0.0937.9646390669271.16917856574499
0.138.34951069580821.11431252606113
0.1138.69997274104291.06444933117247
0.1239.0212710325861.0235438695179
0.1339.31905273838440.995215066913137
0.1439.59880656999660.981258547314905
0.1539.86544256415660.980640339129716
0.1640.12292007963760.988982111481887
0.1740.37399347550481.00061230471942
0.1840.62017807279561.01022324345941
0.1940.86197568910911.01449443890504
0.241.09931029312411.01292923192178
0.2141.33206404761331.00792504933181
0.2241.56059154365571.00439169804579
0.2341.78611700194471.00867376298318
0.2442.0109642811791.02780846135927
0.2542.23861156897571.06851304159884
0.2642.47358880283471.136686383089
0.2742.72124404945461.23628586884008
0.2842.98740165953421.36908064797237
0.2943.27793007206381.53427104493442
0.343.5982391113581.72758800885515
0.3143.95273862644891.94185241145411
0.3244.34430914667562.16679539717985
0.3344.7738529659282.38997438293783
0.3445.24000155327392.59768642373441
0.3545.73904575756592.77656833013558
0.3646.26512751564862.91536202524313
0.3746.81069033499873.00591167970367
0.3847.36714009174933.04436000048883
0.3947.9256288877353.03187986681732
0.448.47785244521172.97398569372822
0.4149.01675093017352.87986913530613
0.4249.53702356954262.76114604586547
0.4350.03540313423882.63028981107934
0.4450.5106783247682.49930615181059
0.4550.96349097914742.37829001045512
0.4651.39596364076572.27463312653561
0.4751.8112278443022.19260062944567
0.4852.21292478307852.13340392496727
0.4952.60474092544782.09530164079985
0.552.99002602092662.07471609684058
0.5153.3715238795212.06676963466684
0.5253.75123016987152.0662722679711
0.5354.13037760866392.06830071770918
0.5454.50953749538232.06908954315759
0.5554.88881725389072.06633064228163
0.5655.26812620988812.05959226349949
0.5755.64747636773142.0501424347492
0.5856.02728192311832.04121842047986
0.5956.4086212753652.03758725255712
0.656.79342886738562.04470189502389
0.6157.1845914191352.068581447651
0.6257.58593370092872.11475763658138
0.6358.00209205589892.18744227865251
0.6458.43828798319172.288713429107
0.6558.90002719454462.41859156827949
0.6659.39275914790462.57455950335845
0.6759.92153559074392.75226543613541
0.6860.49070230707922.94594018148373
0.6961.10364602197583.14897094907995
0.761.76260089163733.35454908030552
0.7162.46850163671313.55582406921094
0.7263.22086039068033.74608838406483
0.7364.01764835795863.91830002464263
0.7464.85518414730724.06506587419966
0.7565.72806402010414.17832748909055
0.7666.62920312085874.25027868237261
0.7767.55007310250214.27407525283543
0.7868.48120278897144.24547843081436
0.7969.41294618363664.16473171422266
0.870.33642568716254.03726470243248
0.8171.24445941435163.87414290987585
0.8272.13222907310263.69015848249703
0.8372.9974895982833.50068132071525
0.8473.84028993496533.31802586781598
0.8574.66243922140373.14823965165302
0.8675.4672147803212.99138192463066
0.8776.25990258405162.84613737310861
0.8877.04950600721182.71737000283354
0.8977.85126007412792.62355379630675
0.978.68857912161772.59775018116913
0.9179.5922217400672.67317985309378
0.9280.59454788233862.85266880802209
0.9381.71844752093233.08222088716573
0.9482.96368538397133.25605431200835
0.9584.29640051781983.25529779399209
0.9685.64758783251193.00067263639678
0.9786.92173919161012.48838587282073
0.9888.00960188541961.79443838259838
0.9988.79889665644251.09750167605593


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 <- '0.01'
par2 <- '0.9'
par1 <- '0.01'
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')