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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 computationMon, 09 Mar 2009 13:21:15 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Mar/09/t1236626572bp20drs2kezpemf.htm/, Retrieved Mon, 29 Apr 2024 03:12:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38813, Retrieved Mon, 29 Apr 2024 03:12:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact112

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] [] [2008-12-12 14:53:38] [a18c43c8b63fa6800a53bb187b9ddd45]
-         [Harrell-Davis Quantiles] [HarrelDavisPercen...] [2009-03-09 19:21:15] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
66.2
66.2
66.2
66.08
66.31
66.39
66.37
66.23
66.27
66.27
66.27
66.28
66.28
66.28
66.26
66.13
65.86
65.9
65.94
65.94
65.91
65.95
65.91
66.08
66.47
66.47
66.56
66.78
67.08
67.28
67.27
67.27
67.26
67.37
67.5
67.63
67.64
67.64
67.71
67.87
67.93
68.33
68.39
68.39
68.58
68.44
68.49
68.52
68.54
68.54
68.54
68.62
68.75
68.71
68.72
68.72
68.72
68.92
68.9
69.12
69.09
69.09
69.1
69.16
68.83
68.52
68.53
68.53
68.51
68.38
68.44
68.41
68.42
68.42
68.45
68.63
68.84
68.72
68.37
68.37
68.47
68.69
68.46
68.17
68.17

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38813&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38813&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38813&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0165.87366849174040.0305129602337285
0.0265.89155544196230.0219260591791422
0.0365.90749157853010.02211289766706
0.0465.92240256394220.0311224697611451
0.0565.93929500056450.0453009032001052
0.0665.96017722091840.0616960466023384
0.0765.98554368679660.0771225069025198
0.0866.01467063784160.0886850829093147
0.0966.0460565519410.0947601806210901
0.166.07790955155410.0952248892623905
0.1166.10859430444660.0910397008493873
0.1266.13692584847080.0839893844360933
0.1366.1622661627680.0756312821428285
0.1466.18446641005090.0672804174634292
0.1566.20373810878910.0597750640548104
0.1666.22052607582070.0538658093321097
0.1766.23542209223110.04992125513062
0.1866.24912566187260.0487035069227402
0.1966.26243802885880.0509407367834797
0.266.27626857659790.0575489589798956
0.2166.29163502560220.069106509143575
0.2266.30964556629320.0858820150400515
0.2366.33145809168490.108192557448088
0.2466.35821684909960.135731939058211
0.2566.390970099890.168073351550822
0.2666.43057510081450.203950607996015
0.2766.47760014709060.241879644640499
0.2866.53223750442050.279948675558223
0.2966.59424421433920.315840351611698
0.366.66292763105080.347246408127641
0.3166.73718740245320.372294878654868
0.3266.81561553240470.389666053369948
0.3366.8966434415230.398858017069489
0.3466.97871335808810.40039293737844
0.3567.06044471365050.395688744703676
0.3667.14076674846770.386545604026825
0.3767.21899607257040.375192640728006
0.3867.29485001286630.363780751940341
0.3967.36839952365910.353928193123124
0.467.43997580299260.346798446229172
0.4167.51005049519670.342645330173869
0.4267.57911023975520.341044751687805
0.4367.64754354920490.341172985710129
0.4467.71555334196540.341731069258347
0.4567.78310342558630.341256212702630
0.4667.84990259507190.338434731371476
0.4767.91542586369410.331871630230239
0.4867.97896846856080.32107642936276
0.4968.03972463255270.305597972969049
0.568.09687995622010.285637189821707
0.5168.14970441960450.261709213937389
0.5268.19763296732220.235156358440427
0.5368.24032284733690.207300925550837
0.5468.27768100661340.179311417711691
0.5568.30986007784340.152636451964303
0.5668.33722665933940.128288071734672
0.5768.36030957433170.106985569730941
0.5868.3797378522790.089258806395566
0.5968.39617812380940.07513650232352
0.668.41027933622170.0643818246881856
0.6168.42262992223080.0565395713552297
0.6268.43372963315130.0512312461437327
0.6368.44397585877840.0477914819143018
0.6468.45366274961280.045691987278377
0.6568.46299081765020.0442416068890721
0.6668.47208462748410.0431728738602609
0.6768.48101629389730.0422524104116947
0.6868.48983243051480.0413342600328136
0.6968.49858179238360.040586045442141
0.768.50734021149230.0400589455101972
0.7168.5162288367130.0401687451180383
0.7268.52542157239580.0411303783001426
0.7368.53513836403320.0432525114524416
0.7468.54562286064520.0465389386715116
0.7568.55710598675550.0508820164237863
0.7668.56976073507750.0558170699590542
0.7768.58365732570020.0608366371900557
0.7868.59873072236730.0651460281136311
0.7968.61477312394020.068211260552887
0.868.63146132856930.0693505285166155
0.8168.64842219210770.068627580484874
0.8268.66532923532580.0661376701103832
0.8368.68201186842450.0627898490160664
0.8468.69854957073670.0596736530994979
0.8568.71532166754080.0582272278638606
0.8668.73299299126320.0595011521097418
0.8768.75243587546850.0640296985595514
0.8868.77461053146320.0714194572889481
0.8968.80043225537020.0807289233894446
0.968.83063104139360.0910413536335351
0.9168.86556594978010.101195268825784
0.9268.90494211717880.109435261535086
0.9368.94746434617940.112882063070168
0.9468.99066332446210.108203496023442
0.9569.03130589767550.0934617070502066
0.9669.06665408419150.0709478885196678
0.9769.0961230558680.0479235842468146
0.9869.12168222940740.0340796541002284
0.9969.14463450767020.0341416282348132

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 65.8736684917404 & 0.0305129602337285 \tabularnewline
0.02 & 65.8915554419623 & 0.0219260591791422 \tabularnewline
0.03 & 65.9074915785301 & 0.02211289766706 \tabularnewline
0.04 & 65.9224025639422 & 0.0311224697611451 \tabularnewline
0.05 & 65.9392950005645 & 0.0453009032001052 \tabularnewline
0.06 & 65.9601772209184 & 0.0616960466023384 \tabularnewline
0.07 & 65.9855436867966 & 0.0771225069025198 \tabularnewline
0.08 & 66.0146706378416 & 0.0886850829093147 \tabularnewline
0.09 & 66.046056551941 & 0.0947601806210901 \tabularnewline
0.1 & 66.0779095515541 & 0.0952248892623905 \tabularnewline
0.11 & 66.1085943044466 & 0.0910397008493873 \tabularnewline
0.12 & 66.1369258484708 & 0.0839893844360933 \tabularnewline
0.13 & 66.162266162768 & 0.0756312821428285 \tabularnewline
0.14 & 66.1844664100509 & 0.0672804174634292 \tabularnewline
0.15 & 66.2037381087891 & 0.0597750640548104 \tabularnewline
0.16 & 66.2205260758207 & 0.0538658093321097 \tabularnewline
0.17 & 66.2354220922311 & 0.04992125513062 \tabularnewline
0.18 & 66.2491256618726 & 0.0487035069227402 \tabularnewline
0.19 & 66.2624380288588 & 0.0509407367834797 \tabularnewline
0.2 & 66.2762685765979 & 0.0575489589798956 \tabularnewline
0.21 & 66.2916350256022 & 0.069106509143575 \tabularnewline
0.22 & 66.3096455662932 & 0.0858820150400515 \tabularnewline
0.23 & 66.3314580916849 & 0.108192557448088 \tabularnewline
0.24 & 66.3582168490996 & 0.135731939058211 \tabularnewline
0.25 & 66.39097009989 & 0.168073351550822 \tabularnewline
0.26 & 66.4305751008145 & 0.203950607996015 \tabularnewline
0.27 & 66.4776001470906 & 0.241879644640499 \tabularnewline
0.28 & 66.5322375044205 & 0.279948675558223 \tabularnewline
0.29 & 66.5942442143392 & 0.315840351611698 \tabularnewline
0.3 & 66.6629276310508 & 0.347246408127641 \tabularnewline
0.31 & 66.7371874024532 & 0.372294878654868 \tabularnewline
0.32 & 66.8156155324047 & 0.389666053369948 \tabularnewline
0.33 & 66.896643441523 & 0.398858017069489 \tabularnewline
0.34 & 66.9787133580881 & 0.40039293737844 \tabularnewline
0.35 & 67.0604447136505 & 0.395688744703676 \tabularnewline
0.36 & 67.1407667484677 & 0.386545604026825 \tabularnewline
0.37 & 67.2189960725704 & 0.375192640728006 \tabularnewline
0.38 & 67.2948500128663 & 0.363780751940341 \tabularnewline
0.39 & 67.3683995236591 & 0.353928193123124 \tabularnewline
0.4 & 67.4399758029926 & 0.346798446229172 \tabularnewline
0.41 & 67.5100504951967 & 0.342645330173869 \tabularnewline
0.42 & 67.5791102397552 & 0.341044751687805 \tabularnewline
0.43 & 67.6475435492049 & 0.341172985710129 \tabularnewline
0.44 & 67.7155533419654 & 0.341731069258347 \tabularnewline
0.45 & 67.7831034255863 & 0.341256212702630 \tabularnewline
0.46 & 67.8499025950719 & 0.338434731371476 \tabularnewline
0.47 & 67.9154258636941 & 0.331871630230239 \tabularnewline
0.48 & 67.9789684685608 & 0.32107642936276 \tabularnewline
0.49 & 68.0397246325527 & 0.305597972969049 \tabularnewline
0.5 & 68.0968799562201 & 0.285637189821707 \tabularnewline
0.51 & 68.1497044196045 & 0.261709213937389 \tabularnewline
0.52 & 68.1976329673222 & 0.235156358440427 \tabularnewline
0.53 & 68.2403228473369 & 0.207300925550837 \tabularnewline
0.54 & 68.2776810066134 & 0.179311417711691 \tabularnewline
0.55 & 68.3098600778434 & 0.152636451964303 \tabularnewline
0.56 & 68.3372266593394 & 0.128288071734672 \tabularnewline
0.57 & 68.3603095743317 & 0.106985569730941 \tabularnewline
0.58 & 68.379737852279 & 0.089258806395566 \tabularnewline
0.59 & 68.3961781238094 & 0.07513650232352 \tabularnewline
0.6 & 68.4102793362217 & 0.0643818246881856 \tabularnewline
0.61 & 68.4226299222308 & 0.0565395713552297 \tabularnewline
0.62 & 68.4337296331513 & 0.0512312461437327 \tabularnewline
0.63 & 68.4439758587784 & 0.0477914819143018 \tabularnewline
0.64 & 68.4536627496128 & 0.045691987278377 \tabularnewline
0.65 & 68.4629908176502 & 0.0442416068890721 \tabularnewline
0.66 & 68.4720846274841 & 0.0431728738602609 \tabularnewline
0.67 & 68.4810162938973 & 0.0422524104116947 \tabularnewline
0.68 & 68.4898324305148 & 0.0413342600328136 \tabularnewline
0.69 & 68.4985817923836 & 0.040586045442141 \tabularnewline
0.7 & 68.5073402114923 & 0.0400589455101972 \tabularnewline
0.71 & 68.516228836713 & 0.0401687451180383 \tabularnewline
0.72 & 68.5254215723958 & 0.0411303783001426 \tabularnewline
0.73 & 68.5351383640332 & 0.0432525114524416 \tabularnewline
0.74 & 68.5456228606452 & 0.0465389386715116 \tabularnewline
0.75 & 68.5571059867555 & 0.0508820164237863 \tabularnewline
0.76 & 68.5697607350775 & 0.0558170699590542 \tabularnewline
0.77 & 68.5836573257002 & 0.0608366371900557 \tabularnewline
0.78 & 68.5987307223673 & 0.0651460281136311 \tabularnewline
0.79 & 68.6147731239402 & 0.068211260552887 \tabularnewline
0.8 & 68.6314613285693 & 0.0693505285166155 \tabularnewline
0.81 & 68.6484221921077 & 0.068627580484874 \tabularnewline
0.82 & 68.6653292353258 & 0.0661376701103832 \tabularnewline
0.83 & 68.6820118684245 & 0.0627898490160664 \tabularnewline
0.84 & 68.6985495707367 & 0.0596736530994979 \tabularnewline
0.85 & 68.7153216675408 & 0.0582272278638606 \tabularnewline
0.86 & 68.7329929912632 & 0.0595011521097418 \tabularnewline
0.87 & 68.7524358754685 & 0.0640296985595514 \tabularnewline
0.88 & 68.7746105314632 & 0.0714194572889481 \tabularnewline
0.89 & 68.8004322553702 & 0.0807289233894446 \tabularnewline
0.9 & 68.8306310413936 & 0.0910413536335351 \tabularnewline
0.91 & 68.8655659497801 & 0.101195268825784 \tabularnewline
0.92 & 68.9049421171788 & 0.109435261535086 \tabularnewline
0.93 & 68.9474643461794 & 0.112882063070168 \tabularnewline
0.94 & 68.9906633244621 & 0.108203496023442 \tabularnewline
0.95 & 69.0313058976755 & 0.0934617070502066 \tabularnewline
0.96 & 69.0666540841915 & 0.0709478885196678 \tabularnewline
0.97 & 69.096123055868 & 0.0479235842468146 \tabularnewline
0.98 & 69.1216822294074 & 0.0340796541002284 \tabularnewline
0.99 & 69.1446345076702 & 0.0341416282348132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38813&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]65.8736684917404[/C][C]0.0305129602337285[/C][/ROW]
[ROW][C]0.02[/C][C]65.8915554419623[/C][C]0.0219260591791422[/C][/ROW]
[ROW][C]0.03[/C][C]65.9074915785301[/C][C]0.02211289766706[/C][/ROW]
[ROW][C]0.04[/C][C]65.9224025639422[/C][C]0.0311224697611451[/C][/ROW]
[ROW][C]0.05[/C][C]65.9392950005645[/C][C]0.0453009032001052[/C][/ROW]
[ROW][C]0.06[/C][C]65.9601772209184[/C][C]0.0616960466023384[/C][/ROW]
[ROW][C]0.07[/C][C]65.9855436867966[/C][C]0.0771225069025198[/C][/ROW]
[ROW][C]0.08[/C][C]66.0146706378416[/C][C]0.0886850829093147[/C][/ROW]
[ROW][C]0.09[/C][C]66.046056551941[/C][C]0.0947601806210901[/C][/ROW]
[ROW][C]0.1[/C][C]66.0779095515541[/C][C]0.0952248892623905[/C][/ROW]
[ROW][C]0.11[/C][C]66.1085943044466[/C][C]0.0910397008493873[/C][/ROW]
[ROW][C]0.12[/C][C]66.1369258484708[/C][C]0.0839893844360933[/C][/ROW]
[ROW][C]0.13[/C][C]66.162266162768[/C][C]0.0756312821428285[/C][/ROW]
[ROW][C]0.14[/C][C]66.1844664100509[/C][C]0.0672804174634292[/C][/ROW]
[ROW][C]0.15[/C][C]66.2037381087891[/C][C]0.0597750640548104[/C][/ROW]
[ROW][C]0.16[/C][C]66.2205260758207[/C][C]0.0538658093321097[/C][/ROW]
[ROW][C]0.17[/C][C]66.2354220922311[/C][C]0.04992125513062[/C][/ROW]
[ROW][C]0.18[/C][C]66.2491256618726[/C][C]0.0487035069227402[/C][/ROW]
[ROW][C]0.19[/C][C]66.2624380288588[/C][C]0.0509407367834797[/C][/ROW]
[ROW][C]0.2[/C][C]66.2762685765979[/C][C]0.0575489589798956[/C][/ROW]
[ROW][C]0.21[/C][C]66.2916350256022[/C][C]0.069106509143575[/C][/ROW]
[ROW][C]0.22[/C][C]66.3096455662932[/C][C]0.0858820150400515[/C][/ROW]
[ROW][C]0.23[/C][C]66.3314580916849[/C][C]0.108192557448088[/C][/ROW]
[ROW][C]0.24[/C][C]66.3582168490996[/C][C]0.135731939058211[/C][/ROW]
[ROW][C]0.25[/C][C]66.39097009989[/C][C]0.168073351550822[/C][/ROW]
[ROW][C]0.26[/C][C]66.4305751008145[/C][C]0.203950607996015[/C][/ROW]
[ROW][C]0.27[/C][C]66.4776001470906[/C][C]0.241879644640499[/C][/ROW]
[ROW][C]0.28[/C][C]66.5322375044205[/C][C]0.279948675558223[/C][/ROW]
[ROW][C]0.29[/C][C]66.5942442143392[/C][C]0.315840351611698[/C][/ROW]
[ROW][C]0.3[/C][C]66.6629276310508[/C][C]0.347246408127641[/C][/ROW]
[ROW][C]0.31[/C][C]66.7371874024532[/C][C]0.372294878654868[/C][/ROW]
[ROW][C]0.32[/C][C]66.8156155324047[/C][C]0.389666053369948[/C][/ROW]
[ROW][C]0.33[/C][C]66.896643441523[/C][C]0.398858017069489[/C][/ROW]
[ROW][C]0.34[/C][C]66.9787133580881[/C][C]0.40039293737844[/C][/ROW]
[ROW][C]0.35[/C][C]67.0604447136505[/C][C]0.395688744703676[/C][/ROW]
[ROW][C]0.36[/C][C]67.1407667484677[/C][C]0.386545604026825[/C][/ROW]
[ROW][C]0.37[/C][C]67.2189960725704[/C][C]0.375192640728006[/C][/ROW]
[ROW][C]0.38[/C][C]67.2948500128663[/C][C]0.363780751940341[/C][/ROW]
[ROW][C]0.39[/C][C]67.3683995236591[/C][C]0.353928193123124[/C][/ROW]
[ROW][C]0.4[/C][C]67.4399758029926[/C][C]0.346798446229172[/C][/ROW]
[ROW][C]0.41[/C][C]67.5100504951967[/C][C]0.342645330173869[/C][/ROW]
[ROW][C]0.42[/C][C]67.5791102397552[/C][C]0.341044751687805[/C][/ROW]
[ROW][C]0.43[/C][C]67.6475435492049[/C][C]0.341172985710129[/C][/ROW]
[ROW][C]0.44[/C][C]67.7155533419654[/C][C]0.341731069258347[/C][/ROW]
[ROW][C]0.45[/C][C]67.7831034255863[/C][C]0.341256212702630[/C][/ROW]
[ROW][C]0.46[/C][C]67.8499025950719[/C][C]0.338434731371476[/C][/ROW]
[ROW][C]0.47[/C][C]67.9154258636941[/C][C]0.331871630230239[/C][/ROW]
[ROW][C]0.48[/C][C]67.9789684685608[/C][C]0.32107642936276[/C][/ROW]
[ROW][C]0.49[/C][C]68.0397246325527[/C][C]0.305597972969049[/C][/ROW]
[ROW][C]0.5[/C][C]68.0968799562201[/C][C]0.285637189821707[/C][/ROW]
[ROW][C]0.51[/C][C]68.1497044196045[/C][C]0.261709213937389[/C][/ROW]
[ROW][C]0.52[/C][C]68.1976329673222[/C][C]0.235156358440427[/C][/ROW]
[ROW][C]0.53[/C][C]68.2403228473369[/C][C]0.207300925550837[/C][/ROW]
[ROW][C]0.54[/C][C]68.2776810066134[/C][C]0.179311417711691[/C][/ROW]
[ROW][C]0.55[/C][C]68.3098600778434[/C][C]0.152636451964303[/C][/ROW]
[ROW][C]0.56[/C][C]68.3372266593394[/C][C]0.128288071734672[/C][/ROW]
[ROW][C]0.57[/C][C]68.3603095743317[/C][C]0.106985569730941[/C][/ROW]
[ROW][C]0.58[/C][C]68.379737852279[/C][C]0.089258806395566[/C][/ROW]
[ROW][C]0.59[/C][C]68.3961781238094[/C][C]0.07513650232352[/C][/ROW]
[ROW][C]0.6[/C][C]68.4102793362217[/C][C]0.0643818246881856[/C][/ROW]
[ROW][C]0.61[/C][C]68.4226299222308[/C][C]0.0565395713552297[/C][/ROW]
[ROW][C]0.62[/C][C]68.4337296331513[/C][C]0.0512312461437327[/C][/ROW]
[ROW][C]0.63[/C][C]68.4439758587784[/C][C]0.0477914819143018[/C][/ROW]
[ROW][C]0.64[/C][C]68.4536627496128[/C][C]0.045691987278377[/C][/ROW]
[ROW][C]0.65[/C][C]68.4629908176502[/C][C]0.0442416068890721[/C][/ROW]
[ROW][C]0.66[/C][C]68.4720846274841[/C][C]0.0431728738602609[/C][/ROW]
[ROW][C]0.67[/C][C]68.4810162938973[/C][C]0.0422524104116947[/C][/ROW]
[ROW][C]0.68[/C][C]68.4898324305148[/C][C]0.0413342600328136[/C][/ROW]
[ROW][C]0.69[/C][C]68.4985817923836[/C][C]0.040586045442141[/C][/ROW]
[ROW][C]0.7[/C][C]68.5073402114923[/C][C]0.0400589455101972[/C][/ROW]
[ROW][C]0.71[/C][C]68.516228836713[/C][C]0.0401687451180383[/C][/ROW]
[ROW][C]0.72[/C][C]68.5254215723958[/C][C]0.0411303783001426[/C][/ROW]
[ROW][C]0.73[/C][C]68.5351383640332[/C][C]0.0432525114524416[/C][/ROW]
[ROW][C]0.74[/C][C]68.5456228606452[/C][C]0.0465389386715116[/C][/ROW]
[ROW][C]0.75[/C][C]68.5571059867555[/C][C]0.0508820164237863[/C][/ROW]
[ROW][C]0.76[/C][C]68.5697607350775[/C][C]0.0558170699590542[/C][/ROW]
[ROW][C]0.77[/C][C]68.5836573257002[/C][C]0.0608366371900557[/C][/ROW]
[ROW][C]0.78[/C][C]68.5987307223673[/C][C]0.0651460281136311[/C][/ROW]
[ROW][C]0.79[/C][C]68.6147731239402[/C][C]0.068211260552887[/C][/ROW]
[ROW][C]0.8[/C][C]68.6314613285693[/C][C]0.0693505285166155[/C][/ROW]
[ROW][C]0.81[/C][C]68.6484221921077[/C][C]0.068627580484874[/C][/ROW]
[ROW][C]0.82[/C][C]68.6653292353258[/C][C]0.0661376701103832[/C][/ROW]
[ROW][C]0.83[/C][C]68.6820118684245[/C][C]0.0627898490160664[/C][/ROW]
[ROW][C]0.84[/C][C]68.6985495707367[/C][C]0.0596736530994979[/C][/ROW]
[ROW][C]0.85[/C][C]68.7153216675408[/C][C]0.0582272278638606[/C][/ROW]
[ROW][C]0.86[/C][C]68.7329929912632[/C][C]0.0595011521097418[/C][/ROW]
[ROW][C]0.87[/C][C]68.7524358754685[/C][C]0.0640296985595514[/C][/ROW]
[ROW][C]0.88[/C][C]68.7746105314632[/C][C]0.0714194572889481[/C][/ROW]
[ROW][C]0.89[/C][C]68.8004322553702[/C][C]0.0807289233894446[/C][/ROW]
[ROW][C]0.9[/C][C]68.8306310413936[/C][C]0.0910413536335351[/C][/ROW]
[ROW][C]0.91[/C][C]68.8655659497801[/C][C]0.101195268825784[/C][/ROW]
[ROW][C]0.92[/C][C]68.9049421171788[/C][C]0.109435261535086[/C][/ROW]
[ROW][C]0.93[/C][C]68.9474643461794[/C][C]0.112882063070168[/C][/ROW]
[ROW][C]0.94[/C][C]68.9906633244621[/C][C]0.108203496023442[/C][/ROW]
[ROW][C]0.95[/C][C]69.0313058976755[/C][C]0.0934617070502066[/C][/ROW]
[ROW][C]0.96[/C][C]69.0666540841915[/C][C]0.0709478885196678[/C][/ROW]
[ROW][C]0.97[/C][C]69.096123055868[/C][C]0.0479235842468146[/C][/ROW]
[ROW][C]0.98[/C][C]69.1216822294074[/C][C]0.0340796541002284[/C][/ROW]
[ROW][C]0.99[/C][C]69.1446345076702[/C][C]0.0341416282348132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38813&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38813&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
0.0165.87366849174040.0305129602337285
0.0265.89155544196230.0219260591791422
0.0365.90749157853010.02211289766706
0.0465.92240256394220.0311224697611451
0.0565.93929500056450.0453009032001052
0.0665.96017722091840.0616960466023384
0.0765.98554368679660.0771225069025198
0.0866.01467063784160.0886850829093147
0.0966.0460565519410.0947601806210901
0.166.07790955155410.0952248892623905
0.1166.10859430444660.0910397008493873
0.1266.13692584847080.0839893844360933
0.1366.1622661627680.0756312821428285
0.1466.18446641005090.0672804174634292
0.1566.20373810878910.0597750640548104
0.1666.22052607582070.0538658093321097
0.1766.23542209223110.04992125513062
0.1866.24912566187260.0487035069227402
0.1966.26243802885880.0509407367834797
0.266.27626857659790.0575489589798956
0.2166.29163502560220.069106509143575
0.2266.30964556629320.0858820150400515
0.2366.33145809168490.108192557448088
0.2466.35821684909960.135731939058211
0.2566.390970099890.168073351550822
0.2666.43057510081450.203950607996015
0.2766.47760014709060.241879644640499
0.2866.53223750442050.279948675558223
0.2966.59424421433920.315840351611698
0.366.66292763105080.347246408127641
0.3166.73718740245320.372294878654868
0.3266.81561553240470.389666053369948
0.3366.8966434415230.398858017069489
0.3466.97871335808810.40039293737844
0.3567.06044471365050.395688744703676
0.3667.14076674846770.386545604026825
0.3767.21899607257040.375192640728006
0.3867.29485001286630.363780751940341
0.3967.36839952365910.353928193123124
0.467.43997580299260.346798446229172
0.4167.51005049519670.342645330173869
0.4267.57911023975520.341044751687805
0.4367.64754354920490.341172985710129
0.4467.71555334196540.341731069258347
0.4567.78310342558630.341256212702630
0.4667.84990259507190.338434731371476
0.4767.91542586369410.331871630230239
0.4867.97896846856080.32107642936276
0.4968.03972463255270.305597972969049
0.568.09687995622010.285637189821707
0.5168.14970441960450.261709213937389
0.5268.19763296732220.235156358440427
0.5368.24032284733690.207300925550837
0.5468.27768100661340.179311417711691
0.5568.30986007784340.152636451964303
0.5668.33722665933940.128288071734672
0.5768.36030957433170.106985569730941
0.5868.3797378522790.089258806395566
0.5968.39617812380940.07513650232352
0.668.41027933622170.0643818246881856
0.6168.42262992223080.0565395713552297
0.6268.43372963315130.0512312461437327
0.6368.44397585877840.0477914819143018
0.6468.45366274961280.045691987278377
0.6568.46299081765020.0442416068890721
0.6668.47208462748410.0431728738602609
0.6768.48101629389730.0422524104116947
0.6868.48983243051480.0413342600328136
0.6968.49858179238360.040586045442141
0.768.50734021149230.0400589455101972
0.7168.5162288367130.0401687451180383
0.7268.52542157239580.0411303783001426
0.7368.53513836403320.0432525114524416
0.7468.54562286064520.0465389386715116
0.7568.55710598675550.0508820164237863
0.7668.56976073507750.0558170699590542
0.7768.58365732570020.0608366371900557
0.7868.59873072236730.0651460281136311
0.7968.61477312394020.068211260552887
0.868.63146132856930.0693505285166155
0.8168.64842219210770.068627580484874
0.8268.66532923532580.0661376701103832
0.8368.68201186842450.0627898490160664
0.8468.69854957073670.0596736530994979
0.8568.71532166754080.0582272278638606
0.8668.73299299126320.0595011521097418
0.8768.75243587546850.0640296985595514
0.8868.77461053146320.0714194572889481
0.8968.80043225537020.0807289233894446
0.968.83063104139360.0910413536335351
0.9168.86556594978010.101195268825784
0.9268.90494211717880.109435261535086
0.9368.94746434617940.112882063070168
0.9468.99066332446210.108203496023442
0.9569.03130589767550.0934617070502066
0.9669.06665408419150.0709478885196678
0.9769.0961230558680.0479235842468146
0.9869.12168222940740.0340796541002284
0.9969.14463450767020.0341416282348132


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')