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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, 11 Oct 2010 16:32:01 +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/2010/Oct/11/t1286814744xe11tsyfval9dnp.htm/, Retrieved Sat, 20 Apr 2024 12:14:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=82573, Retrieved Sat, 20 Apr 2024 12:14:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact89

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] [Opgave 4; Oefenin...] [2010-10-11 16:32:01] [e8fe41381a545d3d3a7b09800c89aa00] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
17.88
18.11
18.16
18.27
18.29
18.35
18.35
18.38
18.41
18.41
18.42
18.43
18.48
18.54
18.65
18.66
18.69
18.72
18.72
18.73
18.84
18.83
18.91
18.91
18.94
18.97
19
19.08
19.18
19.24
19.23
19.25
19.3
19.33
19.35
19.35
19.31
19.47
19.7
19.76
19.9
19.97
20.1
20.26
20.44
20.43
20.57
20.6
20.69
20.93
20.98
21.11
21.14
21.16
21.32
21.32
21.48
21.58
21.74
21.75
21.81
21.89
22.21
22.37
22.47
22.51
22.55
22.61
22.58
22.85
22.93
22.98
23.01
23.11
23.18
23.18
23.21
23.22
23.12
23.15
23.16
23.21
23.21
23.22

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82573&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82573&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82573&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0117.95848905369340.178373083120858
0.0218.06155626595600.128501739569987
0.0318.14811571442610.103088467253022
0.0418.21221707118370.0905278030862169
0.0518.26024559863890.0796019193572267
0.0618.29767892595120.0693364072242533
0.0718.32780084001980.0615030770115261
0.0818.35295076860490.0571946454945748
0.0918.37512806108480.05695896574734
0.118.3960882791590.0610148857199522
0.1118.41730957697840.069043870297223
0.1218.43993051927020.0800418043462266
0.1318.46467597984550.0923589266720666
0.1418.49180670713130.104201936483991
0.1518.52113631809850.113978636857079
0.1618.55213401235680.120756711598373
0.1718.58409246162120.124345733881883
0.1818.61631273569790.125341179812445
0.1918.64825438271660.12477744055267
0.218.67961668134880.123820784318332
0.2118.71034477283770.123484756673583
0.2218.74057847329050.124369292557335
0.2318.77057355346870.126599434890629
0.2418.80062385092580.130039279896024
0.2518.831002163590.134416494381169
0.2618.86192515816690.139449021771322
0.2718.89353812833060.144838259121587
0.2818.92591195416780.150299749741125
0.2918.95904643053610.155565775070439
0.318.99287854434010.160264448378911
0.3119.02729814264940.164233010973894
0.3219.06217455914330.167315710915866
0.3319.09739562556690.16961996154605
0.3419.13291611443850.17170295783563
0.3519.16880795389840.174336058218882
0.3619.20530146507930.178571584203892
0.3719.24280665516830.185527944882875
0.3819.28190649022210.196250358181752
0.3919.32331933210980.21138128899975
0.419.36783397660470.231025385940053
0.4119.41622641385260.2547255003967
0.4219.46917122762620.281504984039116
0.4319.52716167113580.310056523565969
0.4419.59045078290300.33892680308755
0.4519.65902193894710.366603911978359
0.4619.73259193141020.391731113105613
0.4719.81064416915120.413278954159607
0.4819.89248498807320.43050727324213
0.4919.97731311849990.443178845955301
0.520.06429144944650.451266110514391
0.5120.15261129818690.455224883754728
0.5220.24154203651740.455558340298248
0.5320.33046251395710.452999795688787
0.5420.41887451550070.448164719397509
0.5520.50640175907320.441712259594651
0.5620.59278004508530.434126349448474
0.5720.67784471725220.425857705674105
0.5820.76152052880270.417203802963534
0.5920.84381669202350.408598307628871
0.620.92482703855980.400381253993073
0.6121.00473270384040.393029289754182
0.6221.08380329466340.387017183465042
0.6321.16239240115240.382815804572682
0.6421.2409243344880.380763290047795
0.6521.31987048734930.381012044316562
0.6621.39971508985160.383557821123955
0.6721.48091113339550.388153817448399
0.6821.56382821669750.394223204912555
0.6921.64869577870780.401067224514163
0.721.73554816017180.407583845040691
0.7121.82418179999990.412564270404358
0.7221.91413795973400.414706689262668
0.7322.00472410752200.412811592082610
0.7422.09508120798860.406123480822374
0.7522.18429229080600.394520858642302
0.7622.27151252392460.378675823622935
0.7722.35608822347640.359846862940512
0.7822.43762839848410.339720136193722
0.7922.51600195751620.319899762341319
0.822.59125579852690.301365566024986
0.8122.66347666878300.284155934649633
0.8222.73264189659860.267484801659372
0.8322.79851069306650.250059709494146
0.8422.86059472541530.230681606653610
0.8522.91821897607270.208731165895717
0.8622.97065326099440.184320981844975
0.8723.01727365631550.158301635107166
0.8823.05770802162500.131986007559134
0.8923.09192862591400.106816989389448
0.923.12026991081290.084104621780522
0.9123.14336487402980.064788275338559
0.9223.16201120667230.0492732872896123
0.9323.17700452528440.0372939180022977
0.9423.18900667063630.0280223101460149
0.9523.19852002287530.0205055839679626
0.9623.20596647202180.0143387627084037
0.9723.21173761741620.00972369841298756
0.9823.21606477045650.00643722016867747
0.9923.21885829494720.00310830666206793

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 17.9584890536934 & 0.178373083120858 \tabularnewline
0.02 & 18.0615562659560 & 0.128501739569987 \tabularnewline
0.03 & 18.1481157144261 & 0.103088467253022 \tabularnewline
0.04 & 18.2122170711837 & 0.0905278030862169 \tabularnewline
0.05 & 18.2602455986389 & 0.0796019193572267 \tabularnewline
0.06 & 18.2976789259512 & 0.0693364072242533 \tabularnewline
0.07 & 18.3278008400198 & 0.0615030770115261 \tabularnewline
0.08 & 18.3529507686049 & 0.0571946454945748 \tabularnewline
0.09 & 18.3751280610848 & 0.05695896574734 \tabularnewline
0.1 & 18.396088279159 & 0.0610148857199522 \tabularnewline
0.11 & 18.4173095769784 & 0.069043870297223 \tabularnewline
0.12 & 18.4399305192702 & 0.0800418043462266 \tabularnewline
0.13 & 18.4646759798455 & 0.0923589266720666 \tabularnewline
0.14 & 18.4918067071313 & 0.104201936483991 \tabularnewline
0.15 & 18.5211363180985 & 0.113978636857079 \tabularnewline
0.16 & 18.5521340123568 & 0.120756711598373 \tabularnewline
0.17 & 18.5840924616212 & 0.124345733881883 \tabularnewline
0.18 & 18.6163127356979 & 0.125341179812445 \tabularnewline
0.19 & 18.6482543827166 & 0.12477744055267 \tabularnewline
0.2 & 18.6796166813488 & 0.123820784318332 \tabularnewline
0.21 & 18.7103447728377 & 0.123484756673583 \tabularnewline
0.22 & 18.7405784732905 & 0.124369292557335 \tabularnewline
0.23 & 18.7705735534687 & 0.126599434890629 \tabularnewline
0.24 & 18.8006238509258 & 0.130039279896024 \tabularnewline
0.25 & 18.83100216359 & 0.134416494381169 \tabularnewline
0.26 & 18.8619251581669 & 0.139449021771322 \tabularnewline
0.27 & 18.8935381283306 & 0.144838259121587 \tabularnewline
0.28 & 18.9259119541678 & 0.150299749741125 \tabularnewline
0.29 & 18.9590464305361 & 0.155565775070439 \tabularnewline
0.3 & 18.9928785443401 & 0.160264448378911 \tabularnewline
0.31 & 19.0272981426494 & 0.164233010973894 \tabularnewline
0.32 & 19.0621745591433 & 0.167315710915866 \tabularnewline
0.33 & 19.0973956255669 & 0.16961996154605 \tabularnewline
0.34 & 19.1329161144385 & 0.17170295783563 \tabularnewline
0.35 & 19.1688079538984 & 0.174336058218882 \tabularnewline
0.36 & 19.2053014650793 & 0.178571584203892 \tabularnewline
0.37 & 19.2428066551683 & 0.185527944882875 \tabularnewline
0.38 & 19.2819064902221 & 0.196250358181752 \tabularnewline
0.39 & 19.3233193321098 & 0.21138128899975 \tabularnewline
0.4 & 19.3678339766047 & 0.231025385940053 \tabularnewline
0.41 & 19.4162264138526 & 0.2547255003967 \tabularnewline
0.42 & 19.4691712276262 & 0.281504984039116 \tabularnewline
0.43 & 19.5271616711358 & 0.310056523565969 \tabularnewline
0.44 & 19.5904507829030 & 0.33892680308755 \tabularnewline
0.45 & 19.6590219389471 & 0.366603911978359 \tabularnewline
0.46 & 19.7325919314102 & 0.391731113105613 \tabularnewline
0.47 & 19.8106441691512 & 0.413278954159607 \tabularnewline
0.48 & 19.8924849880732 & 0.43050727324213 \tabularnewline
0.49 & 19.9773131184999 & 0.443178845955301 \tabularnewline
0.5 & 20.0642914494465 & 0.451266110514391 \tabularnewline
0.51 & 20.1526112981869 & 0.455224883754728 \tabularnewline
0.52 & 20.2415420365174 & 0.455558340298248 \tabularnewline
0.53 & 20.3304625139571 & 0.452999795688787 \tabularnewline
0.54 & 20.4188745155007 & 0.448164719397509 \tabularnewline
0.55 & 20.5064017590732 & 0.441712259594651 \tabularnewline
0.56 & 20.5927800450853 & 0.434126349448474 \tabularnewline
0.57 & 20.6778447172522 & 0.425857705674105 \tabularnewline
0.58 & 20.7615205288027 & 0.417203802963534 \tabularnewline
0.59 & 20.8438166920235 & 0.408598307628871 \tabularnewline
0.6 & 20.9248270385598 & 0.400381253993073 \tabularnewline
0.61 & 21.0047327038404 & 0.393029289754182 \tabularnewline
0.62 & 21.0838032946634 & 0.387017183465042 \tabularnewline
0.63 & 21.1623924011524 & 0.382815804572682 \tabularnewline
0.64 & 21.240924334488 & 0.380763290047795 \tabularnewline
0.65 & 21.3198704873493 & 0.381012044316562 \tabularnewline
0.66 & 21.3997150898516 & 0.383557821123955 \tabularnewline
0.67 & 21.4809111333955 & 0.388153817448399 \tabularnewline
0.68 & 21.5638282166975 & 0.394223204912555 \tabularnewline
0.69 & 21.6486957787078 & 0.401067224514163 \tabularnewline
0.7 & 21.7355481601718 & 0.407583845040691 \tabularnewline
0.71 & 21.8241817999999 & 0.412564270404358 \tabularnewline
0.72 & 21.9141379597340 & 0.414706689262668 \tabularnewline
0.73 & 22.0047241075220 & 0.412811592082610 \tabularnewline
0.74 & 22.0950812079886 & 0.406123480822374 \tabularnewline
0.75 & 22.1842922908060 & 0.394520858642302 \tabularnewline
0.76 & 22.2715125239246 & 0.378675823622935 \tabularnewline
0.77 & 22.3560882234764 & 0.359846862940512 \tabularnewline
0.78 & 22.4376283984841 & 0.339720136193722 \tabularnewline
0.79 & 22.5160019575162 & 0.319899762341319 \tabularnewline
0.8 & 22.5912557985269 & 0.301365566024986 \tabularnewline
0.81 & 22.6634766687830 & 0.284155934649633 \tabularnewline
0.82 & 22.7326418965986 & 0.267484801659372 \tabularnewline
0.83 & 22.7985106930665 & 0.250059709494146 \tabularnewline
0.84 & 22.8605947254153 & 0.230681606653610 \tabularnewline
0.85 & 22.9182189760727 & 0.208731165895717 \tabularnewline
0.86 & 22.9706532609944 & 0.184320981844975 \tabularnewline
0.87 & 23.0172736563155 & 0.158301635107166 \tabularnewline
0.88 & 23.0577080216250 & 0.131986007559134 \tabularnewline
0.89 & 23.0919286259140 & 0.106816989389448 \tabularnewline
0.9 & 23.1202699108129 & 0.084104621780522 \tabularnewline
0.91 & 23.1433648740298 & 0.064788275338559 \tabularnewline
0.92 & 23.1620112066723 & 0.0492732872896123 \tabularnewline
0.93 & 23.1770045252844 & 0.0372939180022977 \tabularnewline
0.94 & 23.1890066706363 & 0.0280223101460149 \tabularnewline
0.95 & 23.1985200228753 & 0.0205055839679626 \tabularnewline
0.96 & 23.2059664720218 & 0.0143387627084037 \tabularnewline
0.97 & 23.2117376174162 & 0.00972369841298756 \tabularnewline
0.98 & 23.2160647704565 & 0.00643722016867747 \tabularnewline
0.99 & 23.2188582949472 & 0.00310830666206793 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82573&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]17.9584890536934[/C][C]0.178373083120858[/C][/ROW]
[ROW][C]0.02[/C][C]18.0615562659560[/C][C]0.128501739569987[/C][/ROW]
[ROW][C]0.03[/C][C]18.1481157144261[/C][C]0.103088467253022[/C][/ROW]
[ROW][C]0.04[/C][C]18.2122170711837[/C][C]0.0905278030862169[/C][/ROW]
[ROW][C]0.05[/C][C]18.2602455986389[/C][C]0.0796019193572267[/C][/ROW]
[ROW][C]0.06[/C][C]18.2976789259512[/C][C]0.0693364072242533[/C][/ROW]
[ROW][C]0.07[/C][C]18.3278008400198[/C][C]0.0615030770115261[/C][/ROW]
[ROW][C]0.08[/C][C]18.3529507686049[/C][C]0.0571946454945748[/C][/ROW]
[ROW][C]0.09[/C][C]18.3751280610848[/C][C]0.05695896574734[/C][/ROW]
[ROW][C]0.1[/C][C]18.396088279159[/C][C]0.0610148857199522[/C][/ROW]
[ROW][C]0.11[/C][C]18.4173095769784[/C][C]0.069043870297223[/C][/ROW]
[ROW][C]0.12[/C][C]18.4399305192702[/C][C]0.0800418043462266[/C][/ROW]
[ROW][C]0.13[/C][C]18.4646759798455[/C][C]0.0923589266720666[/C][/ROW]
[ROW][C]0.14[/C][C]18.4918067071313[/C][C]0.104201936483991[/C][/ROW]
[ROW][C]0.15[/C][C]18.5211363180985[/C][C]0.113978636857079[/C][/ROW]
[ROW][C]0.16[/C][C]18.5521340123568[/C][C]0.120756711598373[/C][/ROW]
[ROW][C]0.17[/C][C]18.5840924616212[/C][C]0.124345733881883[/C][/ROW]
[ROW][C]0.18[/C][C]18.6163127356979[/C][C]0.125341179812445[/C][/ROW]
[ROW][C]0.19[/C][C]18.6482543827166[/C][C]0.12477744055267[/C][/ROW]
[ROW][C]0.2[/C][C]18.6796166813488[/C][C]0.123820784318332[/C][/ROW]
[ROW][C]0.21[/C][C]18.7103447728377[/C][C]0.123484756673583[/C][/ROW]
[ROW][C]0.22[/C][C]18.7405784732905[/C][C]0.124369292557335[/C][/ROW]
[ROW][C]0.23[/C][C]18.7705735534687[/C][C]0.126599434890629[/C][/ROW]
[ROW][C]0.24[/C][C]18.8006238509258[/C][C]0.130039279896024[/C][/ROW]
[ROW][C]0.25[/C][C]18.83100216359[/C][C]0.134416494381169[/C][/ROW]
[ROW][C]0.26[/C][C]18.8619251581669[/C][C]0.139449021771322[/C][/ROW]
[ROW][C]0.27[/C][C]18.8935381283306[/C][C]0.144838259121587[/C][/ROW]
[ROW][C]0.28[/C][C]18.9259119541678[/C][C]0.150299749741125[/C][/ROW]
[ROW][C]0.29[/C][C]18.9590464305361[/C][C]0.155565775070439[/C][/ROW]
[ROW][C]0.3[/C][C]18.9928785443401[/C][C]0.160264448378911[/C][/ROW]
[ROW][C]0.31[/C][C]19.0272981426494[/C][C]0.164233010973894[/C][/ROW]
[ROW][C]0.32[/C][C]19.0621745591433[/C][C]0.167315710915866[/C][/ROW]
[ROW][C]0.33[/C][C]19.0973956255669[/C][C]0.16961996154605[/C][/ROW]
[ROW][C]0.34[/C][C]19.1329161144385[/C][C]0.17170295783563[/C][/ROW]
[ROW][C]0.35[/C][C]19.1688079538984[/C][C]0.174336058218882[/C][/ROW]
[ROW][C]0.36[/C][C]19.2053014650793[/C][C]0.178571584203892[/C][/ROW]
[ROW][C]0.37[/C][C]19.2428066551683[/C][C]0.185527944882875[/C][/ROW]
[ROW][C]0.38[/C][C]19.2819064902221[/C][C]0.196250358181752[/C][/ROW]
[ROW][C]0.39[/C][C]19.3233193321098[/C][C]0.21138128899975[/C][/ROW]
[ROW][C]0.4[/C][C]19.3678339766047[/C][C]0.231025385940053[/C][/ROW]
[ROW][C]0.41[/C][C]19.4162264138526[/C][C]0.2547255003967[/C][/ROW]
[ROW][C]0.42[/C][C]19.4691712276262[/C][C]0.281504984039116[/C][/ROW]
[ROW][C]0.43[/C][C]19.5271616711358[/C][C]0.310056523565969[/C][/ROW]
[ROW][C]0.44[/C][C]19.5904507829030[/C][C]0.33892680308755[/C][/ROW]
[ROW][C]0.45[/C][C]19.6590219389471[/C][C]0.366603911978359[/C][/ROW]
[ROW][C]0.46[/C][C]19.7325919314102[/C][C]0.391731113105613[/C][/ROW]
[ROW][C]0.47[/C][C]19.8106441691512[/C][C]0.413278954159607[/C][/ROW]
[ROW][C]0.48[/C][C]19.8924849880732[/C][C]0.43050727324213[/C][/ROW]
[ROW][C]0.49[/C][C]19.9773131184999[/C][C]0.443178845955301[/C][/ROW]
[ROW][C]0.5[/C][C]20.0642914494465[/C][C]0.451266110514391[/C][/ROW]
[ROW][C]0.51[/C][C]20.1526112981869[/C][C]0.455224883754728[/C][/ROW]
[ROW][C]0.52[/C][C]20.2415420365174[/C][C]0.455558340298248[/C][/ROW]
[ROW][C]0.53[/C][C]20.3304625139571[/C][C]0.452999795688787[/C][/ROW]
[ROW][C]0.54[/C][C]20.4188745155007[/C][C]0.448164719397509[/C][/ROW]
[ROW][C]0.55[/C][C]20.5064017590732[/C][C]0.441712259594651[/C][/ROW]
[ROW][C]0.56[/C][C]20.5927800450853[/C][C]0.434126349448474[/C][/ROW]
[ROW][C]0.57[/C][C]20.6778447172522[/C][C]0.425857705674105[/C][/ROW]
[ROW][C]0.58[/C][C]20.7615205288027[/C][C]0.417203802963534[/C][/ROW]
[ROW][C]0.59[/C][C]20.8438166920235[/C][C]0.408598307628871[/C][/ROW]
[ROW][C]0.6[/C][C]20.9248270385598[/C][C]0.400381253993073[/C][/ROW]
[ROW][C]0.61[/C][C]21.0047327038404[/C][C]0.393029289754182[/C][/ROW]
[ROW][C]0.62[/C][C]21.0838032946634[/C][C]0.387017183465042[/C][/ROW]
[ROW][C]0.63[/C][C]21.1623924011524[/C][C]0.382815804572682[/C][/ROW]
[ROW][C]0.64[/C][C]21.240924334488[/C][C]0.380763290047795[/C][/ROW]
[ROW][C]0.65[/C][C]21.3198704873493[/C][C]0.381012044316562[/C][/ROW]
[ROW][C]0.66[/C][C]21.3997150898516[/C][C]0.383557821123955[/C][/ROW]
[ROW][C]0.67[/C][C]21.4809111333955[/C][C]0.388153817448399[/C][/ROW]
[ROW][C]0.68[/C][C]21.5638282166975[/C][C]0.394223204912555[/C][/ROW]
[ROW][C]0.69[/C][C]21.6486957787078[/C][C]0.401067224514163[/C][/ROW]
[ROW][C]0.7[/C][C]21.7355481601718[/C][C]0.407583845040691[/C][/ROW]
[ROW][C]0.71[/C][C]21.8241817999999[/C][C]0.412564270404358[/C][/ROW]
[ROW][C]0.72[/C][C]21.9141379597340[/C][C]0.414706689262668[/C][/ROW]
[ROW][C]0.73[/C][C]22.0047241075220[/C][C]0.412811592082610[/C][/ROW]
[ROW][C]0.74[/C][C]22.0950812079886[/C][C]0.406123480822374[/C][/ROW]
[ROW][C]0.75[/C][C]22.1842922908060[/C][C]0.394520858642302[/C][/ROW]
[ROW][C]0.76[/C][C]22.2715125239246[/C][C]0.378675823622935[/C][/ROW]
[ROW][C]0.77[/C][C]22.3560882234764[/C][C]0.359846862940512[/C][/ROW]
[ROW][C]0.78[/C][C]22.4376283984841[/C][C]0.339720136193722[/C][/ROW]
[ROW][C]0.79[/C][C]22.5160019575162[/C][C]0.319899762341319[/C][/ROW]
[ROW][C]0.8[/C][C]22.5912557985269[/C][C]0.301365566024986[/C][/ROW]
[ROW][C]0.81[/C][C]22.6634766687830[/C][C]0.284155934649633[/C][/ROW]
[ROW][C]0.82[/C][C]22.7326418965986[/C][C]0.267484801659372[/C][/ROW]
[ROW][C]0.83[/C][C]22.7985106930665[/C][C]0.250059709494146[/C][/ROW]
[ROW][C]0.84[/C][C]22.8605947254153[/C][C]0.230681606653610[/C][/ROW]
[ROW][C]0.85[/C][C]22.9182189760727[/C][C]0.208731165895717[/C][/ROW]
[ROW][C]0.86[/C][C]22.9706532609944[/C][C]0.184320981844975[/C][/ROW]
[ROW][C]0.87[/C][C]23.0172736563155[/C][C]0.158301635107166[/C][/ROW]
[ROW][C]0.88[/C][C]23.0577080216250[/C][C]0.131986007559134[/C][/ROW]
[ROW][C]0.89[/C][C]23.0919286259140[/C][C]0.106816989389448[/C][/ROW]
[ROW][C]0.9[/C][C]23.1202699108129[/C][C]0.084104621780522[/C][/ROW]
[ROW][C]0.91[/C][C]23.1433648740298[/C][C]0.064788275338559[/C][/ROW]
[ROW][C]0.92[/C][C]23.1620112066723[/C][C]0.0492732872896123[/C][/ROW]
[ROW][C]0.93[/C][C]23.1770045252844[/C][C]0.0372939180022977[/C][/ROW]
[ROW][C]0.94[/C][C]23.1890066706363[/C][C]0.0280223101460149[/C][/ROW]
[ROW][C]0.95[/C][C]23.1985200228753[/C][C]0.0205055839679626[/C][/ROW]
[ROW][C]0.96[/C][C]23.2059664720218[/C][C]0.0143387627084037[/C][/ROW]
[ROW][C]0.97[/C][C]23.2117376174162[/C][C]0.00972369841298756[/C][/ROW]
[ROW][C]0.98[/C][C]23.2160647704565[/C][C]0.00643722016867747[/C][/ROW]
[ROW][C]0.99[/C][C]23.2188582949472[/C][C]0.00310830666206793[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82573&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82573&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
0.0117.95848905369340.178373083120858
0.0218.06155626595600.128501739569987
0.0318.14811571442610.103088467253022
0.0418.21221707118370.0905278030862169
0.0518.26024559863890.0796019193572267
0.0618.29767892595120.0693364072242533
0.0718.32780084001980.0615030770115261
0.0818.35295076860490.0571946454945748
0.0918.37512806108480.05695896574734
0.118.3960882791590.0610148857199522
0.1118.41730957697840.069043870297223
0.1218.43993051927020.0800418043462266
0.1318.46467597984550.0923589266720666
0.1418.49180670713130.104201936483991
0.1518.52113631809850.113978636857079
0.1618.55213401235680.120756711598373
0.1718.58409246162120.124345733881883
0.1818.61631273569790.125341179812445
0.1918.64825438271660.12477744055267
0.218.67961668134880.123820784318332
0.2118.71034477283770.123484756673583
0.2218.74057847329050.124369292557335
0.2318.77057355346870.126599434890629
0.2418.80062385092580.130039279896024
0.2518.831002163590.134416494381169
0.2618.86192515816690.139449021771322
0.2718.89353812833060.144838259121587
0.2818.92591195416780.150299749741125
0.2918.95904643053610.155565775070439
0.318.99287854434010.160264448378911
0.3119.02729814264940.164233010973894
0.3219.06217455914330.167315710915866
0.3319.09739562556690.16961996154605
0.3419.13291611443850.17170295783563
0.3519.16880795389840.174336058218882
0.3619.20530146507930.178571584203892
0.3719.24280665516830.185527944882875
0.3819.28190649022210.196250358181752
0.3919.32331933210980.21138128899975
0.419.36783397660470.231025385940053
0.4119.41622641385260.2547255003967
0.4219.46917122762620.281504984039116
0.4319.52716167113580.310056523565969
0.4419.59045078290300.33892680308755
0.4519.65902193894710.366603911978359
0.4619.73259193141020.391731113105613
0.4719.81064416915120.413278954159607
0.4819.89248498807320.43050727324213
0.4919.97731311849990.443178845955301
0.520.06429144944650.451266110514391
0.5120.15261129818690.455224883754728
0.5220.24154203651740.455558340298248
0.5320.33046251395710.452999795688787
0.5420.41887451550070.448164719397509
0.5520.50640175907320.441712259594651
0.5620.59278004508530.434126349448474
0.5720.67784471725220.425857705674105
0.5820.76152052880270.417203802963534
0.5920.84381669202350.408598307628871
0.620.92482703855980.400381253993073
0.6121.00473270384040.393029289754182
0.6221.08380329466340.387017183465042
0.6321.16239240115240.382815804572682
0.6421.2409243344880.380763290047795
0.6521.31987048734930.381012044316562
0.6621.39971508985160.383557821123955
0.6721.48091113339550.388153817448399
0.6821.56382821669750.394223204912555
0.6921.64869577870780.401067224514163
0.721.73554816017180.407583845040691
0.7121.82418179999990.412564270404358
0.7221.91413795973400.414706689262668
0.7322.00472410752200.412811592082610
0.7422.09508120798860.406123480822374
0.7522.18429229080600.394520858642302
0.7622.27151252392460.378675823622935
0.7722.35608822347640.359846862940512
0.7822.43762839848410.339720136193722
0.7922.51600195751620.319899762341319
0.822.59125579852690.301365566024986
0.8122.66347666878300.284155934649633
0.8222.73264189659860.267484801659372
0.8322.79851069306650.250059709494146
0.8422.86059472541530.230681606653610
0.8522.91821897607270.208731165895717
0.8622.97065326099440.184320981844975
0.8723.01727365631550.158301635107166
0.8823.05770802162500.131986007559134
0.8923.09192862591400.106816989389448
0.923.12026991081290.084104621780522
0.9123.14336487402980.064788275338559
0.9223.16201120667230.0492732872896123
0.9323.17700452528440.0372939180022977
0.9423.18900667063630.0280223101460149
0.9523.19852002287530.0205055839679626
0.9623.20596647202180.0143387627084037
0.9723.21173761741620.00972369841298756
0.9823.21606477045650.00643722016867747
0.9923.21885829494720.00310830666206793


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')