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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, 15 May 2012 12:13:00 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/May/15/t1337098430iwgg42c11j7rwbp.htm/, Retrieved Wed, 08 May 2024 18:58:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=166478, Retrieved Wed, 08 May 2024 18:58:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact144

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] [Harrel-Davis Perc...] [2012-05-15 16:13:00] [3b1daca0bbde728cac84422b4a85488f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
62.11
62.15
62.2
62.22
62.02
62.02
62.02
62.07
62.31
62.71
62.77
62.82
62.82
62.82
62.55
62.6
62.47
62.47
62.47
62.72
63.13
64.09
64.31
64.29
64.29
64.29
64.35
64.42
64.24
64.23
64.23
64.2
65.35
65.83
66.15
66.19
66.19
66.56
66.59
66.48
66.4
66.4
66.4
66.49
66.65
67.69
67.91
68.14
68.14
68.16
67.94
68
68.1
68.12
68.12
68.24
68.42
68.97
69.13
69.2

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166478&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166478&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166478&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0162.02124705900670.00448457934324902
0.0262.02502511857110.0139353428339005
0.0362.03254964933830.0270190266962366
0.0462.04444811693510.0413196238798763
0.0562.06066956143270.0549291130305989
0.0662.08069767264740.0671898873712689
0.0762.10386825110020.078515792635645
0.0862.12961016879150.0895652884293964
0.0962.15753556803850.100911891618915
0.162.18740284693790.112412092013052
0.1162.21902099830180.123558923588585
0.1262.25216091442210.133566256394553
0.1362.28651217809010.141761284831733
0.1462.32169370877490.147759271476718
0.1562.35730494709550.15163888218738
0.1662.39299456472310.153930098768062
0.1762.4285246742040.15541361892413
0.1862.46381636040280.157123683378487
0.1962.49897235126540.159991574345126
0.262.53428062288070.164977975093068
0.2162.57020621998490.173005178177024
0.2262.60737729468920.185060355065697
0.2362.64656693832790.201914860562253
0.2462.6886673902960.224538882556834
0.2562.73465012202890.253438607898393
0.2662.78550561590560.28865824486705
0.2762.84216054257330.32957468087513
0.2862.90537639385840.374721005199766
0.2962.97564056186310.421959707398952
0.363.05306628720780.46862808889438
0.3163.13732014604610.511493197811027
0.3263.22759394844460.547690899705523
0.3363.32263224050490.574426486330732
0.3463.42081814700560.589791521463915
0.3563.52031081322850.592827320701319
0.3663.61921915393910.583669511821855
0.3763.71579066683970.563771394557771
0.3863.80859173686230.535481898656279
0.3963.8966573304570.502088487002602
0.463.97959265043080.467496571692812
0.4164.05761604012750.435901097267071
0.4264.13153984256110.411491034925566
0.4364.20269283527790.398018913490569
0.4464.27279346253880.398230106008061
0.4564.34378702731370.413146765818091
0.4664.41766233148190.442112921425346
0.4764.49626422049940.482653379852583
0.4864.58111836920870.531474413064722
0.4964.67328358225970.584516645405293
0.564.77324485784590.637700789270616
0.5164.88085737095420.686868637636186
0.5264.99534732013270.728142123677925
0.5365.11537039912050.758442809735523
0.5465.23912293733560.775341408999943
0.5565.36449520443190.77759148000282
0.5665.48925183576080.765074106553714
0.5765.61122158413330.738774280577751
0.5865.72847813399770.700858838334423
0.5965.83949558367320.654163076170823
0.665.94326598439830.602093001933343
0.6166.03937120706330.548500750057943
0.6266.12800639327810.497127562006382
0.6366.20995642998490.451733557695465
0.6466.2865297001470.415545982279692
0.6566.35945474003230.391373604218432
0.6666.43074582052150.381240209432769
0.6766.5025436651750.385643755211557
0.6866.57693838564580.40360613935884
0.6966.65578383300650.432578854913106
0.766.74051591712380.469030538929129
0.7166.83199128148950.508636181066593
0.7266.93036564144810.546891448218856
0.7367.03503142338080.579245182230417
0.7467.14463068757510.601501753840707
0.7567.25715117127570.610573440266954
0.7667.3701014616570.604382416990691
0.7767.48074798582220.582446746255677
0.7867.58638482060130.545838526690866
0.7967.68460051936910.497039079633809
0.867.77350655034610.439660989829973
0.8167.85190009871440.377726192912093
0.8267.91934834977430.315490190462877
0.8367.97619859230720.256776687055043
0.8468.02353426812770.204701500714792
0.8568.06310722111850.161675914647672
0.8668.09727740306850.129711925372449
0.8768.12898059094010.110920046969605
0.8868.16172043376120.107565824253194
0.8968.19954307805180.121025616917328
0.968.24690525897890.150692655125777
0.9168.30830605941460.194225740185083
0.9268.38755280512170.247359934354914
0.9368.48662273082860.302268390987068
0.9468.60430193036710.34668451195427
0.9568.7350953271690.365596319135522
0.9668.86912678026890.346061482607292
0.9768.99358878861860.285011591786904
0.9869.09559968719660.196260814135962
0.9969.16552831101290.111773817761484

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 62.0212470590067 & 0.00448457934324902 \tabularnewline
0.02 & 62.0250251185711 & 0.0139353428339005 \tabularnewline
0.03 & 62.0325496493383 & 0.0270190266962366 \tabularnewline
0.04 & 62.0444481169351 & 0.0413196238798763 \tabularnewline
0.05 & 62.0606695614327 & 0.0549291130305989 \tabularnewline
0.06 & 62.0806976726474 & 0.0671898873712689 \tabularnewline
0.07 & 62.1038682511002 & 0.078515792635645 \tabularnewline
0.08 & 62.1296101687915 & 0.0895652884293964 \tabularnewline
0.09 & 62.1575355680385 & 0.100911891618915 \tabularnewline
0.1 & 62.1874028469379 & 0.112412092013052 \tabularnewline
0.11 & 62.2190209983018 & 0.123558923588585 \tabularnewline
0.12 & 62.2521609144221 & 0.133566256394553 \tabularnewline
0.13 & 62.2865121780901 & 0.141761284831733 \tabularnewline
0.14 & 62.3216937087749 & 0.147759271476718 \tabularnewline
0.15 & 62.3573049470955 & 0.15163888218738 \tabularnewline
0.16 & 62.3929945647231 & 0.153930098768062 \tabularnewline
0.17 & 62.428524674204 & 0.15541361892413 \tabularnewline
0.18 & 62.4638163604028 & 0.157123683378487 \tabularnewline
0.19 & 62.4989723512654 & 0.159991574345126 \tabularnewline
0.2 & 62.5342806228807 & 0.164977975093068 \tabularnewline
0.21 & 62.5702062199849 & 0.173005178177024 \tabularnewline
0.22 & 62.6073772946892 & 0.185060355065697 \tabularnewline
0.23 & 62.6465669383279 & 0.201914860562253 \tabularnewline
0.24 & 62.688667390296 & 0.224538882556834 \tabularnewline
0.25 & 62.7346501220289 & 0.253438607898393 \tabularnewline
0.26 & 62.7855056159056 & 0.28865824486705 \tabularnewline
0.27 & 62.8421605425733 & 0.32957468087513 \tabularnewline
0.28 & 62.9053763938584 & 0.374721005199766 \tabularnewline
0.29 & 62.9756405618631 & 0.421959707398952 \tabularnewline
0.3 & 63.0530662872078 & 0.46862808889438 \tabularnewline
0.31 & 63.1373201460461 & 0.511493197811027 \tabularnewline
0.32 & 63.2275939484446 & 0.547690899705523 \tabularnewline
0.33 & 63.3226322405049 & 0.574426486330732 \tabularnewline
0.34 & 63.4208181470056 & 0.589791521463915 \tabularnewline
0.35 & 63.5203108132285 & 0.592827320701319 \tabularnewline
0.36 & 63.6192191539391 & 0.583669511821855 \tabularnewline
0.37 & 63.7157906668397 & 0.563771394557771 \tabularnewline
0.38 & 63.8085917368623 & 0.535481898656279 \tabularnewline
0.39 & 63.896657330457 & 0.502088487002602 \tabularnewline
0.4 & 63.9795926504308 & 0.467496571692812 \tabularnewline
0.41 & 64.0576160401275 & 0.435901097267071 \tabularnewline
0.42 & 64.1315398425611 & 0.411491034925566 \tabularnewline
0.43 & 64.2026928352779 & 0.398018913490569 \tabularnewline
0.44 & 64.2727934625388 & 0.398230106008061 \tabularnewline
0.45 & 64.3437870273137 & 0.413146765818091 \tabularnewline
0.46 & 64.4176623314819 & 0.442112921425346 \tabularnewline
0.47 & 64.4962642204994 & 0.482653379852583 \tabularnewline
0.48 & 64.5811183692087 & 0.531474413064722 \tabularnewline
0.49 & 64.6732835822597 & 0.584516645405293 \tabularnewline
0.5 & 64.7732448578459 & 0.637700789270616 \tabularnewline
0.51 & 64.8808573709542 & 0.686868637636186 \tabularnewline
0.52 & 64.9953473201327 & 0.728142123677925 \tabularnewline
0.53 & 65.1153703991205 & 0.758442809735523 \tabularnewline
0.54 & 65.2391229373356 & 0.775341408999943 \tabularnewline
0.55 & 65.3644952044319 & 0.77759148000282 \tabularnewline
0.56 & 65.4892518357608 & 0.765074106553714 \tabularnewline
0.57 & 65.6112215841333 & 0.738774280577751 \tabularnewline
0.58 & 65.7284781339977 & 0.700858838334423 \tabularnewline
0.59 & 65.8394955836732 & 0.654163076170823 \tabularnewline
0.6 & 65.9432659843983 & 0.602093001933343 \tabularnewline
0.61 & 66.0393712070633 & 0.548500750057943 \tabularnewline
0.62 & 66.1280063932781 & 0.497127562006382 \tabularnewline
0.63 & 66.2099564299849 & 0.451733557695465 \tabularnewline
0.64 & 66.286529700147 & 0.415545982279692 \tabularnewline
0.65 & 66.3594547400323 & 0.391373604218432 \tabularnewline
0.66 & 66.4307458205215 & 0.381240209432769 \tabularnewline
0.67 & 66.502543665175 & 0.385643755211557 \tabularnewline
0.68 & 66.5769383856458 & 0.40360613935884 \tabularnewline
0.69 & 66.6557838330065 & 0.432578854913106 \tabularnewline
0.7 & 66.7405159171238 & 0.469030538929129 \tabularnewline
0.71 & 66.8319912814895 & 0.508636181066593 \tabularnewline
0.72 & 66.9303656414481 & 0.546891448218856 \tabularnewline
0.73 & 67.0350314233808 & 0.579245182230417 \tabularnewline
0.74 & 67.1446306875751 & 0.601501753840707 \tabularnewline
0.75 & 67.2571511712757 & 0.610573440266954 \tabularnewline
0.76 & 67.370101461657 & 0.604382416990691 \tabularnewline
0.77 & 67.4807479858222 & 0.582446746255677 \tabularnewline
0.78 & 67.5863848206013 & 0.545838526690866 \tabularnewline
0.79 & 67.6846005193691 & 0.497039079633809 \tabularnewline
0.8 & 67.7735065503461 & 0.439660989829973 \tabularnewline
0.81 & 67.8519000987144 & 0.377726192912093 \tabularnewline
0.82 & 67.9193483497743 & 0.315490190462877 \tabularnewline
0.83 & 67.9761985923072 & 0.256776687055043 \tabularnewline
0.84 & 68.0235342681277 & 0.204701500714792 \tabularnewline
0.85 & 68.0631072211185 & 0.161675914647672 \tabularnewline
0.86 & 68.0972774030685 & 0.129711925372449 \tabularnewline
0.87 & 68.1289805909401 & 0.110920046969605 \tabularnewline
0.88 & 68.1617204337612 & 0.107565824253194 \tabularnewline
0.89 & 68.1995430780518 & 0.121025616917328 \tabularnewline
0.9 & 68.2469052589789 & 0.150692655125777 \tabularnewline
0.91 & 68.3083060594146 & 0.194225740185083 \tabularnewline
0.92 & 68.3875528051217 & 0.247359934354914 \tabularnewline
0.93 & 68.4866227308286 & 0.302268390987068 \tabularnewline
0.94 & 68.6043019303671 & 0.34668451195427 \tabularnewline
0.95 & 68.735095327169 & 0.365596319135522 \tabularnewline
0.96 & 68.8691267802689 & 0.346061482607292 \tabularnewline
0.97 & 68.9935887886186 & 0.285011591786904 \tabularnewline
0.98 & 69.0955996871966 & 0.196260814135962 \tabularnewline
0.99 & 69.1655283110129 & 0.111773817761484 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166478&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]62.0212470590067[/C][C]0.00448457934324902[/C][/ROW]
[ROW][C]0.02[/C][C]62.0250251185711[/C][C]0.0139353428339005[/C][/ROW]
[ROW][C]0.03[/C][C]62.0325496493383[/C][C]0.0270190266962366[/C][/ROW]
[ROW][C]0.04[/C][C]62.0444481169351[/C][C]0.0413196238798763[/C][/ROW]
[ROW][C]0.05[/C][C]62.0606695614327[/C][C]0.0549291130305989[/C][/ROW]
[ROW][C]0.06[/C][C]62.0806976726474[/C][C]0.0671898873712689[/C][/ROW]
[ROW][C]0.07[/C][C]62.1038682511002[/C][C]0.078515792635645[/C][/ROW]
[ROW][C]0.08[/C][C]62.1296101687915[/C][C]0.0895652884293964[/C][/ROW]
[ROW][C]0.09[/C][C]62.1575355680385[/C][C]0.100911891618915[/C][/ROW]
[ROW][C]0.1[/C][C]62.1874028469379[/C][C]0.112412092013052[/C][/ROW]
[ROW][C]0.11[/C][C]62.2190209983018[/C][C]0.123558923588585[/C][/ROW]
[ROW][C]0.12[/C][C]62.2521609144221[/C][C]0.133566256394553[/C][/ROW]
[ROW][C]0.13[/C][C]62.2865121780901[/C][C]0.141761284831733[/C][/ROW]
[ROW][C]0.14[/C][C]62.3216937087749[/C][C]0.147759271476718[/C][/ROW]
[ROW][C]0.15[/C][C]62.3573049470955[/C][C]0.15163888218738[/C][/ROW]
[ROW][C]0.16[/C][C]62.3929945647231[/C][C]0.153930098768062[/C][/ROW]
[ROW][C]0.17[/C][C]62.428524674204[/C][C]0.15541361892413[/C][/ROW]
[ROW][C]0.18[/C][C]62.4638163604028[/C][C]0.157123683378487[/C][/ROW]
[ROW][C]0.19[/C][C]62.4989723512654[/C][C]0.159991574345126[/C][/ROW]
[ROW][C]0.2[/C][C]62.5342806228807[/C][C]0.164977975093068[/C][/ROW]
[ROW][C]0.21[/C][C]62.5702062199849[/C][C]0.173005178177024[/C][/ROW]
[ROW][C]0.22[/C][C]62.6073772946892[/C][C]0.185060355065697[/C][/ROW]
[ROW][C]0.23[/C][C]62.6465669383279[/C][C]0.201914860562253[/C][/ROW]
[ROW][C]0.24[/C][C]62.688667390296[/C][C]0.224538882556834[/C][/ROW]
[ROW][C]0.25[/C][C]62.7346501220289[/C][C]0.253438607898393[/C][/ROW]
[ROW][C]0.26[/C][C]62.7855056159056[/C][C]0.28865824486705[/C][/ROW]
[ROW][C]0.27[/C][C]62.8421605425733[/C][C]0.32957468087513[/C][/ROW]
[ROW][C]0.28[/C][C]62.9053763938584[/C][C]0.374721005199766[/C][/ROW]
[ROW][C]0.29[/C][C]62.9756405618631[/C][C]0.421959707398952[/C][/ROW]
[ROW][C]0.3[/C][C]63.0530662872078[/C][C]0.46862808889438[/C][/ROW]
[ROW][C]0.31[/C][C]63.1373201460461[/C][C]0.511493197811027[/C][/ROW]
[ROW][C]0.32[/C][C]63.2275939484446[/C][C]0.547690899705523[/C][/ROW]
[ROW][C]0.33[/C][C]63.3226322405049[/C][C]0.574426486330732[/C][/ROW]
[ROW][C]0.34[/C][C]63.4208181470056[/C][C]0.589791521463915[/C][/ROW]
[ROW][C]0.35[/C][C]63.5203108132285[/C][C]0.592827320701319[/C][/ROW]
[ROW][C]0.36[/C][C]63.6192191539391[/C][C]0.583669511821855[/C][/ROW]
[ROW][C]0.37[/C][C]63.7157906668397[/C][C]0.563771394557771[/C][/ROW]
[ROW][C]0.38[/C][C]63.8085917368623[/C][C]0.535481898656279[/C][/ROW]
[ROW][C]0.39[/C][C]63.896657330457[/C][C]0.502088487002602[/C][/ROW]
[ROW][C]0.4[/C][C]63.9795926504308[/C][C]0.467496571692812[/C][/ROW]
[ROW][C]0.41[/C][C]64.0576160401275[/C][C]0.435901097267071[/C][/ROW]
[ROW][C]0.42[/C][C]64.1315398425611[/C][C]0.411491034925566[/C][/ROW]
[ROW][C]0.43[/C][C]64.2026928352779[/C][C]0.398018913490569[/C][/ROW]
[ROW][C]0.44[/C][C]64.2727934625388[/C][C]0.398230106008061[/C][/ROW]
[ROW][C]0.45[/C][C]64.3437870273137[/C][C]0.413146765818091[/C][/ROW]
[ROW][C]0.46[/C][C]64.4176623314819[/C][C]0.442112921425346[/C][/ROW]
[ROW][C]0.47[/C][C]64.4962642204994[/C][C]0.482653379852583[/C][/ROW]
[ROW][C]0.48[/C][C]64.5811183692087[/C][C]0.531474413064722[/C][/ROW]
[ROW][C]0.49[/C][C]64.6732835822597[/C][C]0.584516645405293[/C][/ROW]
[ROW][C]0.5[/C][C]64.7732448578459[/C][C]0.637700789270616[/C][/ROW]
[ROW][C]0.51[/C][C]64.8808573709542[/C][C]0.686868637636186[/C][/ROW]
[ROW][C]0.52[/C][C]64.9953473201327[/C][C]0.728142123677925[/C][/ROW]
[ROW][C]0.53[/C][C]65.1153703991205[/C][C]0.758442809735523[/C][/ROW]
[ROW][C]0.54[/C][C]65.2391229373356[/C][C]0.775341408999943[/C][/ROW]
[ROW][C]0.55[/C][C]65.3644952044319[/C][C]0.77759148000282[/C][/ROW]
[ROW][C]0.56[/C][C]65.4892518357608[/C][C]0.765074106553714[/C][/ROW]
[ROW][C]0.57[/C][C]65.6112215841333[/C][C]0.738774280577751[/C][/ROW]
[ROW][C]0.58[/C][C]65.7284781339977[/C][C]0.700858838334423[/C][/ROW]
[ROW][C]0.59[/C][C]65.8394955836732[/C][C]0.654163076170823[/C][/ROW]
[ROW][C]0.6[/C][C]65.9432659843983[/C][C]0.602093001933343[/C][/ROW]
[ROW][C]0.61[/C][C]66.0393712070633[/C][C]0.548500750057943[/C][/ROW]
[ROW][C]0.62[/C][C]66.1280063932781[/C][C]0.497127562006382[/C][/ROW]
[ROW][C]0.63[/C][C]66.2099564299849[/C][C]0.451733557695465[/C][/ROW]
[ROW][C]0.64[/C][C]66.286529700147[/C][C]0.415545982279692[/C][/ROW]
[ROW][C]0.65[/C][C]66.3594547400323[/C][C]0.391373604218432[/C][/ROW]
[ROW][C]0.66[/C][C]66.4307458205215[/C][C]0.381240209432769[/C][/ROW]
[ROW][C]0.67[/C][C]66.502543665175[/C][C]0.385643755211557[/C][/ROW]
[ROW][C]0.68[/C][C]66.5769383856458[/C][C]0.40360613935884[/C][/ROW]
[ROW][C]0.69[/C][C]66.6557838330065[/C][C]0.432578854913106[/C][/ROW]
[ROW][C]0.7[/C][C]66.7405159171238[/C][C]0.469030538929129[/C][/ROW]
[ROW][C]0.71[/C][C]66.8319912814895[/C][C]0.508636181066593[/C][/ROW]
[ROW][C]0.72[/C][C]66.9303656414481[/C][C]0.546891448218856[/C][/ROW]
[ROW][C]0.73[/C][C]67.0350314233808[/C][C]0.579245182230417[/C][/ROW]
[ROW][C]0.74[/C][C]67.1446306875751[/C][C]0.601501753840707[/C][/ROW]
[ROW][C]0.75[/C][C]67.2571511712757[/C][C]0.610573440266954[/C][/ROW]
[ROW][C]0.76[/C][C]67.370101461657[/C][C]0.604382416990691[/C][/ROW]
[ROW][C]0.77[/C][C]67.4807479858222[/C][C]0.582446746255677[/C][/ROW]
[ROW][C]0.78[/C][C]67.5863848206013[/C][C]0.545838526690866[/C][/ROW]
[ROW][C]0.79[/C][C]67.6846005193691[/C][C]0.497039079633809[/C][/ROW]
[ROW][C]0.8[/C][C]67.7735065503461[/C][C]0.439660989829973[/C][/ROW]
[ROW][C]0.81[/C][C]67.8519000987144[/C][C]0.377726192912093[/C][/ROW]
[ROW][C]0.82[/C][C]67.9193483497743[/C][C]0.315490190462877[/C][/ROW]
[ROW][C]0.83[/C][C]67.9761985923072[/C][C]0.256776687055043[/C][/ROW]
[ROW][C]0.84[/C][C]68.0235342681277[/C][C]0.204701500714792[/C][/ROW]
[ROW][C]0.85[/C][C]68.0631072211185[/C][C]0.161675914647672[/C][/ROW]
[ROW][C]0.86[/C][C]68.0972774030685[/C][C]0.129711925372449[/C][/ROW]
[ROW][C]0.87[/C][C]68.1289805909401[/C][C]0.110920046969605[/C][/ROW]
[ROW][C]0.88[/C][C]68.1617204337612[/C][C]0.107565824253194[/C][/ROW]
[ROW][C]0.89[/C][C]68.1995430780518[/C][C]0.121025616917328[/C][/ROW]
[ROW][C]0.9[/C][C]68.2469052589789[/C][C]0.150692655125777[/C][/ROW]
[ROW][C]0.91[/C][C]68.3083060594146[/C][C]0.194225740185083[/C][/ROW]
[ROW][C]0.92[/C][C]68.3875528051217[/C][C]0.247359934354914[/C][/ROW]
[ROW][C]0.93[/C][C]68.4866227308286[/C][C]0.302268390987068[/C][/ROW]
[ROW][C]0.94[/C][C]68.6043019303671[/C][C]0.34668451195427[/C][/ROW]
[ROW][C]0.95[/C][C]68.735095327169[/C][C]0.365596319135522[/C][/ROW]
[ROW][C]0.96[/C][C]68.8691267802689[/C][C]0.346061482607292[/C][/ROW]
[ROW][C]0.97[/C][C]68.9935887886186[/C][C]0.285011591786904[/C][/ROW]
[ROW][C]0.98[/C][C]69.0955996871966[/C][C]0.196260814135962[/C][/ROW]
[ROW][C]0.99[/C][C]69.1655283110129[/C][C]0.111773817761484[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166478&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166478&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
0.0162.02124705900670.00448457934324902
0.0262.02502511857110.0139353428339005
0.0362.03254964933830.0270190266962366
0.0462.04444811693510.0413196238798763
0.0562.06066956143270.0549291130305989
0.0662.08069767264740.0671898873712689
0.0762.10386825110020.078515792635645
0.0862.12961016879150.0895652884293964
0.0962.15753556803850.100911891618915
0.162.18740284693790.112412092013052
0.1162.21902099830180.123558923588585
0.1262.25216091442210.133566256394553
0.1362.28651217809010.141761284831733
0.1462.32169370877490.147759271476718
0.1562.35730494709550.15163888218738
0.1662.39299456472310.153930098768062
0.1762.4285246742040.15541361892413
0.1862.46381636040280.157123683378487
0.1962.49897235126540.159991574345126
0.262.53428062288070.164977975093068
0.2162.57020621998490.173005178177024
0.2262.60737729468920.185060355065697
0.2362.64656693832790.201914860562253
0.2462.6886673902960.224538882556834
0.2562.73465012202890.253438607898393
0.2662.78550561590560.28865824486705
0.2762.84216054257330.32957468087513
0.2862.90537639385840.374721005199766
0.2962.97564056186310.421959707398952
0.363.05306628720780.46862808889438
0.3163.13732014604610.511493197811027
0.3263.22759394844460.547690899705523
0.3363.32263224050490.574426486330732
0.3463.42081814700560.589791521463915
0.3563.52031081322850.592827320701319
0.3663.61921915393910.583669511821855
0.3763.71579066683970.563771394557771
0.3863.80859173686230.535481898656279
0.3963.8966573304570.502088487002602
0.463.97959265043080.467496571692812
0.4164.05761604012750.435901097267071
0.4264.13153984256110.411491034925566
0.4364.20269283527790.398018913490569
0.4464.27279346253880.398230106008061
0.4564.34378702731370.413146765818091
0.4664.41766233148190.442112921425346
0.4764.49626422049940.482653379852583
0.4864.58111836920870.531474413064722
0.4964.67328358225970.584516645405293
0.564.77324485784590.637700789270616
0.5164.88085737095420.686868637636186
0.5264.99534732013270.728142123677925
0.5365.11537039912050.758442809735523
0.5465.23912293733560.775341408999943
0.5565.36449520443190.77759148000282
0.5665.48925183576080.765074106553714
0.5765.61122158413330.738774280577751
0.5865.72847813399770.700858838334423
0.5965.83949558367320.654163076170823
0.665.94326598439830.602093001933343
0.6166.03937120706330.548500750057943
0.6266.12800639327810.497127562006382
0.6366.20995642998490.451733557695465
0.6466.2865297001470.415545982279692
0.6566.35945474003230.391373604218432
0.6666.43074582052150.381240209432769
0.6766.5025436651750.385643755211557
0.6866.57693838564580.40360613935884
0.6966.65578383300650.432578854913106
0.766.74051591712380.469030538929129
0.7166.83199128148950.508636181066593
0.7266.93036564144810.546891448218856
0.7367.03503142338080.579245182230417
0.7467.14463068757510.601501753840707
0.7567.25715117127570.610573440266954
0.7667.3701014616570.604382416990691
0.7767.48074798582220.582446746255677
0.7867.58638482060130.545838526690866
0.7967.68460051936910.497039079633809
0.867.77350655034610.439660989829973
0.8167.85190009871440.377726192912093
0.8267.91934834977430.315490190462877
0.8367.97619859230720.256776687055043
0.8468.02353426812770.204701500714792
0.8568.06310722111850.161675914647672
0.8668.09727740306850.129711925372449
0.8768.12898059094010.110920046969605
0.8868.16172043376120.107565824253194
0.8968.19954307805180.121025616917328
0.968.24690525897890.150692655125777
0.9168.30830605941460.194225740185083
0.9268.38755280512170.247359934354914
0.9368.48662273082860.302268390987068
0.9468.60430193036710.34668451195427
0.9568.7350953271690.365596319135522
0.9668.86912678026890.346061482607292
0.9768.99358878861860.285011591786904
0.9869.09559968719660.196260814135962
0.9969.16552831101290.111773817761484


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')