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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 computationThu, 03 Oct 2013 17:03:46 -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/2013/Oct/03/t1380834254oc0ekjucw1e648v.htm/, Retrieved Sat, 25 Apr 2026 16:30:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=213036, Retrieved Sat, 25 Apr 2026 16:30:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact305

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] [] [2013-10-03 21:03:46] [c13b0833c91505664fff70cc44050808] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
47.43
47.43
47.51
47.96
47.99
48.05
48.05
48.01
48
48.06
48.23
48.4
48.4
48.5
48.41
48.35
48.53
48.52
48.52
48.49
48.45
48.65
48.74
48.74
48.74
48.79
48.82
48.82
49.2
49.3
49.3
49.34
49.47
49.65
49.7
49.75
49.75
49.7
50.09
50.19
50.53
50.55
50.55
50.55
50.58
50.61
50.94
51.01
51.01
51.04
51.15
51.31
51.31
51.34
51.34
51.34
51.47
51.95
51.97
51.92
51.92
51.91
51.97
52.14
52.33
52.4
52.4
52.41
52.71
53.17
53.33
53.32
53.32
53.3
53.31
53.72
53.87
53.91
53.91
53.96
54.02
54.33
54.48
54.54

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 Ronald Aylmer Fisher' @ fisher.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 Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213036&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 Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213036&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213036&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 Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0147.45398894133080.0701978336759295
0.0247.51987456646450.168591590112951
0.0347.62203684198360.229059360838068
0.0447.73658426194040.227580562640227
0.0547.83994372605740.185341695789088
0.0647.92081846859420.136633782722954
0.0747.98030016275910.105217553770641
0.0848.02582703474740.0982632240842232
0.0948.06539479537070.10878814446718
0.148.10456704942350.125972919990391
0.1148.14588927067590.142069393071727
0.1248.18951784313320.152541977254266
0.1348.23420007133950.155439913429071
0.1448.27818843431270.151247977180278
0.1548.31992357140260.141998866153875
0.1648.35843165643120.130662065665316
0.1748.39344918473410.11999599527724
0.1848.42534095193970.112198559027379
0.1948.45490476652690.108576761668989
0.248.48315187995670.10942112175567
0.2148.51112437154030.114436372132565
0.2248.53977683407920.122990698819906
0.2348.56992281227380.134348604230089
0.2448.60223101768410.148064240784207
0.2548.6372504619480.163804811082343
0.2648.67544366205770.181624639962666
0.2748.71721062011450.201378284206816
0.2848.76289257007070.22293563472582
0.2948.81275294330680.245831922915617
0.348.86694208615130.269386912449009
0.3148.92545940899780.29258780696275
0.3248.98812932985630.31435617078516
0.3349.05460439100630.333644283584739
0.3449.12440110334380.350000968285575
0.3549.19696400422380.363156031206799
0.3649.27174443319210.373510542696931
0.3749.34827546403730.381870105318805
0.3849.42622470570970.389077808041519
0.3949.50541204229990.396105794489574
0.449.58578818063870.403642761689723
0.4149.667379700310.411919475838665
0.4249.75021464121040.420536698275296
0.4349.83424746569210.42878270994763
0.4449.91930231451890.435538850285451
0.4550.00504878366330.439871404494973
0.4650.0910161213120.440807608982968
0.4750.17664192194950.438060110167052
0.4850.261342725390.431703295596337
0.4950.34458883932610.42238203057
0.550.42596563627820.411099363770449
0.5150.50520847315830.3987309753403
0.5250.58220665173310.386323350570038
0.5350.65698084985350.374549434614842
0.5450.72964540450970.363678325786924
0.5550.80036966764870.353788779261504
0.5650.86935072323380.34468939490777
0.5750.93680392472440.336485228751739
0.5851.00297004396230.329140648046222
0.5951.06813086947320.323110543165116
0.651.1326211338590.318716852395524
0.6151.19682505335670.316375786490415
0.6251.26115060769850.316364744251329
0.6351.32598270409670.318535334464323
0.6451.39162519081190.322138529900331
0.6551.45824842597330.326279986182083
0.6651.52586118401330.329833071323033
0.6751.59432173293920.331754624978682
0.6851.66339348886320.331518998623469
0.6951.73283830630870.329129806347768
0.751.80252902998470.325515592313245
0.7151.87255609660390.322089572317032
0.7251.94330268042350.320501303823516
0.7352.01546844807380.322590276759811
0.7452.09003060617050.329574306923094
0.7552.16813946872860.342080295240628
0.7652.25095310773450.359736784416989
0.7752.33942378099440.381173269734661
0.7852.43406152960120.403996642483279
0.7952.53471923280170.424864159077591
0.852.64046347560540.439930127334943
0.8152.74960351060970.445741077710166
0.8252.8599291826550.440049174611684
0.8352.96914761792970.422940726128637
0.8453.07541719707440.397201675832293
0.8553.17779176892770.367760394105146
0.8653.27636268465790.340524903769432
0.8753.37196826280510.31958556835707
0.8853.46553383268160.304900322978933
0.8953.55734509428310.29205800458406
0.953.64671512046720.275066139893703
0.9153.7324421622130.250468743028731
0.9253.81410143890460.220516119138265
0.9353.89363309601520.19418147867037
0.9453.97610389182350.184059669871348
0.9554.068325476870.195817227956669
0.9654.17474712497630.216269804713631
0.9754.29203826713430.218059137367846
0.9854.40609817155030.178730618599915
0.9954.49517302253630.107378351356935

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 47.4539889413308 & 0.0701978336759295 \tabularnewline
0.02 & 47.5198745664645 & 0.168591590112951 \tabularnewline
0.03 & 47.6220368419836 & 0.229059360838068 \tabularnewline
0.04 & 47.7365842619404 & 0.227580562640227 \tabularnewline
0.05 & 47.8399437260574 & 0.185341695789088 \tabularnewline
0.06 & 47.9208184685942 & 0.136633782722954 \tabularnewline
0.07 & 47.9803001627591 & 0.105217553770641 \tabularnewline
0.08 & 48.0258270347474 & 0.0982632240842232 \tabularnewline
0.09 & 48.0653947953707 & 0.10878814446718 \tabularnewline
0.1 & 48.1045670494235 & 0.125972919990391 \tabularnewline
0.11 & 48.1458892706759 & 0.142069393071727 \tabularnewline
0.12 & 48.1895178431332 & 0.152541977254266 \tabularnewline
0.13 & 48.2342000713395 & 0.155439913429071 \tabularnewline
0.14 & 48.2781884343127 & 0.151247977180278 \tabularnewline
0.15 & 48.3199235714026 & 0.141998866153875 \tabularnewline
0.16 & 48.3584316564312 & 0.130662065665316 \tabularnewline
0.17 & 48.3934491847341 & 0.11999599527724 \tabularnewline
0.18 & 48.4253409519397 & 0.112198559027379 \tabularnewline
0.19 & 48.4549047665269 & 0.108576761668989 \tabularnewline
0.2 & 48.4831518799567 & 0.10942112175567 \tabularnewline
0.21 & 48.5111243715403 & 0.114436372132565 \tabularnewline
0.22 & 48.5397768340792 & 0.122990698819906 \tabularnewline
0.23 & 48.5699228122738 & 0.134348604230089 \tabularnewline
0.24 & 48.6022310176841 & 0.148064240784207 \tabularnewline
0.25 & 48.637250461948 & 0.163804811082343 \tabularnewline
0.26 & 48.6754436620577 & 0.181624639962666 \tabularnewline
0.27 & 48.7172106201145 & 0.201378284206816 \tabularnewline
0.28 & 48.7628925700707 & 0.22293563472582 \tabularnewline
0.29 & 48.8127529433068 & 0.245831922915617 \tabularnewline
0.3 & 48.8669420861513 & 0.269386912449009 \tabularnewline
0.31 & 48.9254594089978 & 0.29258780696275 \tabularnewline
0.32 & 48.9881293298563 & 0.31435617078516 \tabularnewline
0.33 & 49.0546043910063 & 0.333644283584739 \tabularnewline
0.34 & 49.1244011033438 & 0.350000968285575 \tabularnewline
0.35 & 49.1969640042238 & 0.363156031206799 \tabularnewline
0.36 & 49.2717444331921 & 0.373510542696931 \tabularnewline
0.37 & 49.3482754640373 & 0.381870105318805 \tabularnewline
0.38 & 49.4262247057097 & 0.389077808041519 \tabularnewline
0.39 & 49.5054120422999 & 0.396105794489574 \tabularnewline
0.4 & 49.5857881806387 & 0.403642761689723 \tabularnewline
0.41 & 49.66737970031 & 0.411919475838665 \tabularnewline
0.42 & 49.7502146412104 & 0.420536698275296 \tabularnewline
0.43 & 49.8342474656921 & 0.42878270994763 \tabularnewline
0.44 & 49.9193023145189 & 0.435538850285451 \tabularnewline
0.45 & 50.0050487836633 & 0.439871404494973 \tabularnewline
0.46 & 50.091016121312 & 0.440807608982968 \tabularnewline
0.47 & 50.1766419219495 & 0.438060110167052 \tabularnewline
0.48 & 50.26134272539 & 0.431703295596337 \tabularnewline
0.49 & 50.3445888393261 & 0.42238203057 \tabularnewline
0.5 & 50.4259656362782 & 0.411099363770449 \tabularnewline
0.51 & 50.5052084731583 & 0.3987309753403 \tabularnewline
0.52 & 50.5822066517331 & 0.386323350570038 \tabularnewline
0.53 & 50.6569808498535 & 0.374549434614842 \tabularnewline
0.54 & 50.7296454045097 & 0.363678325786924 \tabularnewline
0.55 & 50.8003696676487 & 0.353788779261504 \tabularnewline
0.56 & 50.8693507232338 & 0.34468939490777 \tabularnewline
0.57 & 50.9368039247244 & 0.336485228751739 \tabularnewline
0.58 & 51.0029700439623 & 0.329140648046222 \tabularnewline
0.59 & 51.0681308694732 & 0.323110543165116 \tabularnewline
0.6 & 51.132621133859 & 0.318716852395524 \tabularnewline
0.61 & 51.1968250533567 & 0.316375786490415 \tabularnewline
0.62 & 51.2611506076985 & 0.316364744251329 \tabularnewline
0.63 & 51.3259827040967 & 0.318535334464323 \tabularnewline
0.64 & 51.3916251908119 & 0.322138529900331 \tabularnewline
0.65 & 51.4582484259733 & 0.326279986182083 \tabularnewline
0.66 & 51.5258611840133 & 0.329833071323033 \tabularnewline
0.67 & 51.5943217329392 & 0.331754624978682 \tabularnewline
0.68 & 51.6633934888632 & 0.331518998623469 \tabularnewline
0.69 & 51.7328383063087 & 0.329129806347768 \tabularnewline
0.7 & 51.8025290299847 & 0.325515592313245 \tabularnewline
0.71 & 51.8725560966039 & 0.322089572317032 \tabularnewline
0.72 & 51.9433026804235 & 0.320501303823516 \tabularnewline
0.73 & 52.0154684480738 & 0.322590276759811 \tabularnewline
0.74 & 52.0900306061705 & 0.329574306923094 \tabularnewline
0.75 & 52.1681394687286 & 0.342080295240628 \tabularnewline
0.76 & 52.2509531077345 & 0.359736784416989 \tabularnewline
0.77 & 52.3394237809944 & 0.381173269734661 \tabularnewline
0.78 & 52.4340615296012 & 0.403996642483279 \tabularnewline
0.79 & 52.5347192328017 & 0.424864159077591 \tabularnewline
0.8 & 52.6404634756054 & 0.439930127334943 \tabularnewline
0.81 & 52.7496035106097 & 0.445741077710166 \tabularnewline
0.82 & 52.859929182655 & 0.440049174611684 \tabularnewline
0.83 & 52.9691476179297 & 0.422940726128637 \tabularnewline
0.84 & 53.0754171970744 & 0.397201675832293 \tabularnewline
0.85 & 53.1777917689277 & 0.367760394105146 \tabularnewline
0.86 & 53.2763626846579 & 0.340524903769432 \tabularnewline
0.87 & 53.3719682628051 & 0.31958556835707 \tabularnewline
0.88 & 53.4655338326816 & 0.304900322978933 \tabularnewline
0.89 & 53.5573450942831 & 0.29205800458406 \tabularnewline
0.9 & 53.6467151204672 & 0.275066139893703 \tabularnewline
0.91 & 53.732442162213 & 0.250468743028731 \tabularnewline
0.92 & 53.8141014389046 & 0.220516119138265 \tabularnewline
0.93 & 53.8936330960152 & 0.19418147867037 \tabularnewline
0.94 & 53.9761038918235 & 0.184059669871348 \tabularnewline
0.95 & 54.06832547687 & 0.195817227956669 \tabularnewline
0.96 & 54.1747471249763 & 0.216269804713631 \tabularnewline
0.97 & 54.2920382671343 & 0.218059137367846 \tabularnewline
0.98 & 54.4060981715503 & 0.178730618599915 \tabularnewline
0.99 & 54.4951730225363 & 0.107378351356935 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213036&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]47.4539889413308[/C][C]0.0701978336759295[/C][/ROW]
[ROW][C]0.02[/C][C]47.5198745664645[/C][C]0.168591590112951[/C][/ROW]
[ROW][C]0.03[/C][C]47.6220368419836[/C][C]0.229059360838068[/C][/ROW]
[ROW][C]0.04[/C][C]47.7365842619404[/C][C]0.227580562640227[/C][/ROW]
[ROW][C]0.05[/C][C]47.8399437260574[/C][C]0.185341695789088[/C][/ROW]
[ROW][C]0.06[/C][C]47.9208184685942[/C][C]0.136633782722954[/C][/ROW]
[ROW][C]0.07[/C][C]47.9803001627591[/C][C]0.105217553770641[/C][/ROW]
[ROW][C]0.08[/C][C]48.0258270347474[/C][C]0.0982632240842232[/C][/ROW]
[ROW][C]0.09[/C][C]48.0653947953707[/C][C]0.10878814446718[/C][/ROW]
[ROW][C]0.1[/C][C]48.1045670494235[/C][C]0.125972919990391[/C][/ROW]
[ROW][C]0.11[/C][C]48.1458892706759[/C][C]0.142069393071727[/C][/ROW]
[ROW][C]0.12[/C][C]48.1895178431332[/C][C]0.152541977254266[/C][/ROW]
[ROW][C]0.13[/C][C]48.2342000713395[/C][C]0.155439913429071[/C][/ROW]
[ROW][C]0.14[/C][C]48.2781884343127[/C][C]0.151247977180278[/C][/ROW]
[ROW][C]0.15[/C][C]48.3199235714026[/C][C]0.141998866153875[/C][/ROW]
[ROW][C]0.16[/C][C]48.3584316564312[/C][C]0.130662065665316[/C][/ROW]
[ROW][C]0.17[/C][C]48.3934491847341[/C][C]0.11999599527724[/C][/ROW]
[ROW][C]0.18[/C][C]48.4253409519397[/C][C]0.112198559027379[/C][/ROW]
[ROW][C]0.19[/C][C]48.4549047665269[/C][C]0.108576761668989[/C][/ROW]
[ROW][C]0.2[/C][C]48.4831518799567[/C][C]0.10942112175567[/C][/ROW]
[ROW][C]0.21[/C][C]48.5111243715403[/C][C]0.114436372132565[/C][/ROW]
[ROW][C]0.22[/C][C]48.5397768340792[/C][C]0.122990698819906[/C][/ROW]
[ROW][C]0.23[/C][C]48.5699228122738[/C][C]0.134348604230089[/C][/ROW]
[ROW][C]0.24[/C][C]48.6022310176841[/C][C]0.148064240784207[/C][/ROW]
[ROW][C]0.25[/C][C]48.637250461948[/C][C]0.163804811082343[/C][/ROW]
[ROW][C]0.26[/C][C]48.6754436620577[/C][C]0.181624639962666[/C][/ROW]
[ROW][C]0.27[/C][C]48.7172106201145[/C][C]0.201378284206816[/C][/ROW]
[ROW][C]0.28[/C][C]48.7628925700707[/C][C]0.22293563472582[/C][/ROW]
[ROW][C]0.29[/C][C]48.8127529433068[/C][C]0.245831922915617[/C][/ROW]
[ROW][C]0.3[/C][C]48.8669420861513[/C][C]0.269386912449009[/C][/ROW]
[ROW][C]0.31[/C][C]48.9254594089978[/C][C]0.29258780696275[/C][/ROW]
[ROW][C]0.32[/C][C]48.9881293298563[/C][C]0.31435617078516[/C][/ROW]
[ROW][C]0.33[/C][C]49.0546043910063[/C][C]0.333644283584739[/C][/ROW]
[ROW][C]0.34[/C][C]49.1244011033438[/C][C]0.350000968285575[/C][/ROW]
[ROW][C]0.35[/C][C]49.1969640042238[/C][C]0.363156031206799[/C][/ROW]
[ROW][C]0.36[/C][C]49.2717444331921[/C][C]0.373510542696931[/C][/ROW]
[ROW][C]0.37[/C][C]49.3482754640373[/C][C]0.381870105318805[/C][/ROW]
[ROW][C]0.38[/C][C]49.4262247057097[/C][C]0.389077808041519[/C][/ROW]
[ROW][C]0.39[/C][C]49.5054120422999[/C][C]0.396105794489574[/C][/ROW]
[ROW][C]0.4[/C][C]49.5857881806387[/C][C]0.403642761689723[/C][/ROW]
[ROW][C]0.41[/C][C]49.66737970031[/C][C]0.411919475838665[/C][/ROW]
[ROW][C]0.42[/C][C]49.7502146412104[/C][C]0.420536698275296[/C][/ROW]
[ROW][C]0.43[/C][C]49.8342474656921[/C][C]0.42878270994763[/C][/ROW]
[ROW][C]0.44[/C][C]49.9193023145189[/C][C]0.435538850285451[/C][/ROW]
[ROW][C]0.45[/C][C]50.0050487836633[/C][C]0.439871404494973[/C][/ROW]
[ROW][C]0.46[/C][C]50.091016121312[/C][C]0.440807608982968[/C][/ROW]
[ROW][C]0.47[/C][C]50.1766419219495[/C][C]0.438060110167052[/C][/ROW]
[ROW][C]0.48[/C][C]50.26134272539[/C][C]0.431703295596337[/C][/ROW]
[ROW][C]0.49[/C][C]50.3445888393261[/C][C]0.42238203057[/C][/ROW]
[ROW][C]0.5[/C][C]50.4259656362782[/C][C]0.411099363770449[/C][/ROW]
[ROW][C]0.51[/C][C]50.5052084731583[/C][C]0.3987309753403[/C][/ROW]
[ROW][C]0.52[/C][C]50.5822066517331[/C][C]0.386323350570038[/C][/ROW]
[ROW][C]0.53[/C][C]50.6569808498535[/C][C]0.374549434614842[/C][/ROW]
[ROW][C]0.54[/C][C]50.7296454045097[/C][C]0.363678325786924[/C][/ROW]
[ROW][C]0.55[/C][C]50.8003696676487[/C][C]0.353788779261504[/C][/ROW]
[ROW][C]0.56[/C][C]50.8693507232338[/C][C]0.34468939490777[/C][/ROW]
[ROW][C]0.57[/C][C]50.9368039247244[/C][C]0.336485228751739[/C][/ROW]
[ROW][C]0.58[/C][C]51.0029700439623[/C][C]0.329140648046222[/C][/ROW]
[ROW][C]0.59[/C][C]51.0681308694732[/C][C]0.323110543165116[/C][/ROW]
[ROW][C]0.6[/C][C]51.132621133859[/C][C]0.318716852395524[/C][/ROW]
[ROW][C]0.61[/C][C]51.1968250533567[/C][C]0.316375786490415[/C][/ROW]
[ROW][C]0.62[/C][C]51.2611506076985[/C][C]0.316364744251329[/C][/ROW]
[ROW][C]0.63[/C][C]51.3259827040967[/C][C]0.318535334464323[/C][/ROW]
[ROW][C]0.64[/C][C]51.3916251908119[/C][C]0.322138529900331[/C][/ROW]
[ROW][C]0.65[/C][C]51.4582484259733[/C][C]0.326279986182083[/C][/ROW]
[ROW][C]0.66[/C][C]51.5258611840133[/C][C]0.329833071323033[/C][/ROW]
[ROW][C]0.67[/C][C]51.5943217329392[/C][C]0.331754624978682[/C][/ROW]
[ROW][C]0.68[/C][C]51.6633934888632[/C][C]0.331518998623469[/C][/ROW]
[ROW][C]0.69[/C][C]51.7328383063087[/C][C]0.329129806347768[/C][/ROW]
[ROW][C]0.7[/C][C]51.8025290299847[/C][C]0.325515592313245[/C][/ROW]
[ROW][C]0.71[/C][C]51.8725560966039[/C][C]0.322089572317032[/C][/ROW]
[ROW][C]0.72[/C][C]51.9433026804235[/C][C]0.320501303823516[/C][/ROW]
[ROW][C]0.73[/C][C]52.0154684480738[/C][C]0.322590276759811[/C][/ROW]
[ROW][C]0.74[/C][C]52.0900306061705[/C][C]0.329574306923094[/C][/ROW]
[ROW][C]0.75[/C][C]52.1681394687286[/C][C]0.342080295240628[/C][/ROW]
[ROW][C]0.76[/C][C]52.2509531077345[/C][C]0.359736784416989[/C][/ROW]
[ROW][C]0.77[/C][C]52.3394237809944[/C][C]0.381173269734661[/C][/ROW]
[ROW][C]0.78[/C][C]52.4340615296012[/C][C]0.403996642483279[/C][/ROW]
[ROW][C]0.79[/C][C]52.5347192328017[/C][C]0.424864159077591[/C][/ROW]
[ROW][C]0.8[/C][C]52.6404634756054[/C][C]0.439930127334943[/C][/ROW]
[ROW][C]0.81[/C][C]52.7496035106097[/C][C]0.445741077710166[/C][/ROW]
[ROW][C]0.82[/C][C]52.859929182655[/C][C]0.440049174611684[/C][/ROW]
[ROW][C]0.83[/C][C]52.9691476179297[/C][C]0.422940726128637[/C][/ROW]
[ROW][C]0.84[/C][C]53.0754171970744[/C][C]0.397201675832293[/C][/ROW]
[ROW][C]0.85[/C][C]53.1777917689277[/C][C]0.367760394105146[/C][/ROW]
[ROW][C]0.86[/C][C]53.2763626846579[/C][C]0.340524903769432[/C][/ROW]
[ROW][C]0.87[/C][C]53.3719682628051[/C][C]0.31958556835707[/C][/ROW]
[ROW][C]0.88[/C][C]53.4655338326816[/C][C]0.304900322978933[/C][/ROW]
[ROW][C]0.89[/C][C]53.5573450942831[/C][C]0.29205800458406[/C][/ROW]
[ROW][C]0.9[/C][C]53.6467151204672[/C][C]0.275066139893703[/C][/ROW]
[ROW][C]0.91[/C][C]53.732442162213[/C][C]0.250468743028731[/C][/ROW]
[ROW][C]0.92[/C][C]53.8141014389046[/C][C]0.220516119138265[/C][/ROW]
[ROW][C]0.93[/C][C]53.8936330960152[/C][C]0.19418147867037[/C][/ROW]
[ROW][C]0.94[/C][C]53.9761038918235[/C][C]0.184059669871348[/C][/ROW]
[ROW][C]0.95[/C][C]54.06832547687[/C][C]0.195817227956669[/C][/ROW]
[ROW][C]0.96[/C][C]54.1747471249763[/C][C]0.216269804713631[/C][/ROW]
[ROW][C]0.97[/C][C]54.2920382671343[/C][C]0.218059137367846[/C][/ROW]
[ROW][C]0.98[/C][C]54.4060981715503[/C][C]0.178730618599915[/C][/ROW]
[ROW][C]0.99[/C][C]54.4951730225363[/C][C]0.107378351356935[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213036&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213036&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
0.0147.45398894133080.0701978336759295
0.0247.51987456646450.168591590112951
0.0347.62203684198360.229059360838068
0.0447.73658426194040.227580562640227
0.0547.83994372605740.185341695789088
0.0647.92081846859420.136633782722954
0.0747.98030016275910.105217553770641
0.0848.02582703474740.0982632240842232
0.0948.06539479537070.10878814446718
0.148.10456704942350.125972919990391
0.1148.14588927067590.142069393071727
0.1248.18951784313320.152541977254266
0.1348.23420007133950.155439913429071
0.1448.27818843431270.151247977180278
0.1548.31992357140260.141998866153875
0.1648.35843165643120.130662065665316
0.1748.39344918473410.11999599527724
0.1848.42534095193970.112198559027379
0.1948.45490476652690.108576761668989
0.248.48315187995670.10942112175567
0.2148.51112437154030.114436372132565
0.2248.53977683407920.122990698819906
0.2348.56992281227380.134348604230089
0.2448.60223101768410.148064240784207
0.2548.6372504619480.163804811082343
0.2648.67544366205770.181624639962666
0.2748.71721062011450.201378284206816
0.2848.76289257007070.22293563472582
0.2948.81275294330680.245831922915617
0.348.86694208615130.269386912449009
0.3148.92545940899780.29258780696275
0.3248.98812932985630.31435617078516
0.3349.05460439100630.333644283584739
0.3449.12440110334380.350000968285575
0.3549.19696400422380.363156031206799
0.3649.27174443319210.373510542696931
0.3749.34827546403730.381870105318805
0.3849.42622470570970.389077808041519
0.3949.50541204229990.396105794489574
0.449.58578818063870.403642761689723
0.4149.667379700310.411919475838665
0.4249.75021464121040.420536698275296
0.4349.83424746569210.42878270994763
0.4449.91930231451890.435538850285451
0.4550.00504878366330.439871404494973
0.4650.0910161213120.440807608982968
0.4750.17664192194950.438060110167052
0.4850.261342725390.431703295596337
0.4950.34458883932610.42238203057
0.550.42596563627820.411099363770449
0.5150.50520847315830.3987309753403
0.5250.58220665173310.386323350570038
0.5350.65698084985350.374549434614842
0.5450.72964540450970.363678325786924
0.5550.80036966764870.353788779261504
0.5650.86935072323380.34468939490777
0.5750.93680392472440.336485228751739
0.5851.00297004396230.329140648046222
0.5951.06813086947320.323110543165116
0.651.1326211338590.318716852395524
0.6151.19682505335670.316375786490415
0.6251.26115060769850.316364744251329
0.6351.32598270409670.318535334464323
0.6451.39162519081190.322138529900331
0.6551.45824842597330.326279986182083
0.6651.52586118401330.329833071323033
0.6751.59432173293920.331754624978682
0.6851.66339348886320.331518998623469
0.6951.73283830630870.329129806347768
0.751.80252902998470.325515592313245
0.7151.87255609660390.322089572317032
0.7251.94330268042350.320501303823516
0.7352.01546844807380.322590276759811
0.7452.09003060617050.329574306923094
0.7552.16813946872860.342080295240628
0.7652.25095310773450.359736784416989
0.7752.33942378099440.381173269734661
0.7852.43406152960120.403996642483279
0.7952.53471923280170.424864159077591
0.852.64046347560540.439930127334943
0.8152.74960351060970.445741077710166
0.8252.8599291826550.440049174611684
0.8352.96914761792970.422940726128637
0.8453.07541719707440.397201675832293
0.8553.17779176892770.367760394105146
0.8653.27636268465790.340524903769432
0.8753.37196826280510.31958556835707
0.8853.46553383268160.304900322978933
0.8953.55734509428310.29205800458406
0.953.64671512046720.275066139893703
0.9153.7324421622130.250468743028731
0.9253.81410143890460.220516119138265
0.9353.89363309601520.19418147867037
0.9453.97610389182350.184059669871348
0.9554.068325476870.195817227956669
0.9654.17474712497630.216269804713631
0.9754.29203826713430.218059137367846
0.9854.40609817155030.178730618599915
0.9954.49517302253630.107378351356935


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ;
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 <- '0.99'
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')