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Author's title

Harrel-Daves Percentielen Gemiddelde Prijs Van Een Zakje Frieten (Dave Flor...

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 02 Mar 2008 07:47:38 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Mar/02/t120446934731fcjgfps1utslc.htm/, Retrieved Mon, 06 May 2024 21:56:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9547, Retrieved Mon, 06 May 2024 21:56:07 +0000
QR Codes:

Original text written by user:Harrel-Daves Percentielen Gemiddelde Prijs Van Een Zakje Frieten
IsPrivate?No (this computation is public)
User-defined keywordsHarrel-Daves, Percentielen, Prijs, Frieten
Estimated Impact176
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Harrel-Daves Perc...] [2008-03-02 14:47:38] [dffb8b44dc5a91f197edbc7a955d0e55] [Current]
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Dataseries X:
1.72
1.73
1.73
1.73
1.73
1.73
1.74
1.74
1.74
1.74
1.75
1.75
1.75
1.75
1.75
1.76
1.77
1.77
1.78
1.78
1.78
1.79
1.8
1.8
1.82
1.83
1.85
1.86
1.86
1.87
1.88
1.88
1.89
1.9
1.9
1.9
1.9
1.92
1.92
1.93
1.93
1.93
1.94
1.94
1.95
1.96
1.96
1.96
1.96
1.97
1.97
1.98
1.99
1.99
1.99
2
2
2.01
2.01
2.01
2.02
2.02
2.02
2.02
2.03
2.03
2.03
2.04
2.04
2.05
2.06
2.06




Summary of compuational 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 compuational 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=9547&T=0

[TABLE]
[ROW][C]Summary of compuational 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=9547&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9547&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of compuational 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
0.011.722497985547410.00746317223529687
0.021.725612280992660.00452558383589247
0.031.728046566777170.00247616611479583
0.041.729633779344920.00187148447822084
0.051.730774120851340.00243923679955667
0.061.731867576661750.00340605987039966
0.071.733124541888670.00435792405634634
0.081.734591332109630.00510353832657477
0.091.736225954357640.00559110953141342
0.11.737960318062380.00587603094536151
0.111.739737101355990.00606340439745692
0.121.741524842494700.00625319458944029
0.131.743318607822390.00651395278943034
0.141.745133876638390.00688587334953579
0.151.746999229173800.007403450161813
0.161.748950309729210.00809486639895521
0.171.751025128061710.00897249022569212
0.181.753259968907020.0100219045872110
0.191.755685672987360.0111943020565881
0.21.758324868647450.012437828367189
0.211.761191063710700.0137016998542971
0.221.764290113259740.0149625303190639
0.231.767623736915440.0162189689011405
0.241.771193953236940.0175085022184239
0.251.775006916403750.0188788898746805
0.261.779074814036040.0203760131250019
0.271.783415099503290.0220293061310535
0.281.788047131244280.0238310825285991
0.291.79298700626350.0257357023926524
0.31.798241814885400.0276623512992215
0.311.803804634724460.0295097407801301
0.321.809651355223060.0311651447719259
0.331.815739981509130.0325261331769387
0.341.822012537408080.0335087169622551
0.351.828399195256550.0340613550522287
0.361.834823897960390.0341671919953117
0.371.841210558164440.0338487429587117
0.381.847488928145980.0331540052646098
0.391.853599401178870.0321587555251882
0.41.859496272744400.0309472143732504
0.411.865149289122480.0296102425225973
0.421.870543578474700.0282309129884682
0.431.875678252086570.0268831937474616
0.441.880564064226520.0256218447195769
0.451.885220536620560.0244884462396638
0.461.889672912934620.0235068030300852
0.471.893949239406820.0226820091078000
0.481.898077792980540.0220094325705667
0.491.902085009065040.0214704923049344
0.51.905993997581760.0210389728051187
0.511.909823673603850.0206867790345343
0.521.913588465616260.0203849400894081
0.531.917298505434930.0201128815798520
0.541.920960161026940.0198488852686681
0.551.924576759852800.0195808191618546
0.561.928149372167460.0193039025989057
0.571.931677574687060.0190128828648335
0.581.935160175941280.0187068523790277
0.591.938595929513220.0183859938844861
0.61.941984268168750.0180529424303624
0.611.945326053247290.0177141059609711
0.621.948624262793160.0173841038253372
0.631.951884469882040.0170755911286916
0.641.955114927548130.0168103436078088
0.651.958326107970690.0166065933368159
0.661.961529647382670.0164693934721636
0.671.964736801214700.0163970746861184
0.681.967956668582500.0163721553423274
0.691.971194545326060.0163648538043849
0.71.974450767541290.0163405774662104
0.711.977720301707920.0162652759504877
0.721.980993150988720.0161127783591893
0.731.984255439201860.0158667491184692
0.741.987490873875980.0155240469747247
0.751.990682231661710.0150894545483208
0.761.993812571344990.0145719515968854
0.771.996866037762150.0139855491322939
0.781.999828317170580.0133410702550475
0.792.002686970874710.0126465399619094
0.82.005431946684340.0119140230077469
0.812.008056509252490.0111551317313648
0.822.010558640452350.0103888442698509
0.832.01294268959060.00964240880907147
0.842.015220806100220.00895152899429155
0.852.017413606956660.00835180772780258
0.862.019549734102180.00787747388047726
0.872.021664440827610.00754536112681656
0.882.023797930445830.00735328258035921
0.892.025994560243540.00728426469480915
0.92.028303971788690.00732368861007831
0.912.030784573141750.0074714251671622
0.922.03350823111560.00773759535015475
0.932.036561520655670.0081406296346583
0.942.040032424124850.0086843342802967
0.952.043964658898290.00927778055210253
0.962.048267215412500.00959361267804565
0.972.052605660127310.00898404141766215
0.982.056378722174830.006780735706459
0.992.058929586316240.00316626022850335

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.72249798554741 & 0.00746317223529687 \tabularnewline
0.02 & 1.72561228099266 & 0.00452558383589247 \tabularnewline
0.03 & 1.72804656677717 & 0.00247616611479583 \tabularnewline
0.04 & 1.72963377934492 & 0.00187148447822084 \tabularnewline
0.05 & 1.73077412085134 & 0.00243923679955667 \tabularnewline
0.06 & 1.73186757666175 & 0.00340605987039966 \tabularnewline
0.07 & 1.73312454188867 & 0.00435792405634634 \tabularnewline
0.08 & 1.73459133210963 & 0.00510353832657477 \tabularnewline
0.09 & 1.73622595435764 & 0.00559110953141342 \tabularnewline
0.1 & 1.73796031806238 & 0.00587603094536151 \tabularnewline
0.11 & 1.73973710135599 & 0.00606340439745692 \tabularnewline
0.12 & 1.74152484249470 & 0.00625319458944029 \tabularnewline
0.13 & 1.74331860782239 & 0.00651395278943034 \tabularnewline
0.14 & 1.74513387663839 & 0.00688587334953579 \tabularnewline
0.15 & 1.74699922917380 & 0.007403450161813 \tabularnewline
0.16 & 1.74895030972921 & 0.00809486639895521 \tabularnewline
0.17 & 1.75102512806171 & 0.00897249022569212 \tabularnewline
0.18 & 1.75325996890702 & 0.0100219045872110 \tabularnewline
0.19 & 1.75568567298736 & 0.0111943020565881 \tabularnewline
0.2 & 1.75832486864745 & 0.012437828367189 \tabularnewline
0.21 & 1.76119106371070 & 0.0137016998542971 \tabularnewline
0.22 & 1.76429011325974 & 0.0149625303190639 \tabularnewline
0.23 & 1.76762373691544 & 0.0162189689011405 \tabularnewline
0.24 & 1.77119395323694 & 0.0175085022184239 \tabularnewline
0.25 & 1.77500691640375 & 0.0188788898746805 \tabularnewline
0.26 & 1.77907481403604 & 0.0203760131250019 \tabularnewline
0.27 & 1.78341509950329 & 0.0220293061310535 \tabularnewline
0.28 & 1.78804713124428 & 0.0238310825285991 \tabularnewline
0.29 & 1.7929870062635 & 0.0257357023926524 \tabularnewline
0.3 & 1.79824181488540 & 0.0276623512992215 \tabularnewline
0.31 & 1.80380463472446 & 0.0295097407801301 \tabularnewline
0.32 & 1.80965135522306 & 0.0311651447719259 \tabularnewline
0.33 & 1.81573998150913 & 0.0325261331769387 \tabularnewline
0.34 & 1.82201253740808 & 0.0335087169622551 \tabularnewline
0.35 & 1.82839919525655 & 0.0340613550522287 \tabularnewline
0.36 & 1.83482389796039 & 0.0341671919953117 \tabularnewline
0.37 & 1.84121055816444 & 0.0338487429587117 \tabularnewline
0.38 & 1.84748892814598 & 0.0331540052646098 \tabularnewline
0.39 & 1.85359940117887 & 0.0321587555251882 \tabularnewline
0.4 & 1.85949627274440 & 0.0309472143732504 \tabularnewline
0.41 & 1.86514928912248 & 0.0296102425225973 \tabularnewline
0.42 & 1.87054357847470 & 0.0282309129884682 \tabularnewline
0.43 & 1.87567825208657 & 0.0268831937474616 \tabularnewline
0.44 & 1.88056406422652 & 0.0256218447195769 \tabularnewline
0.45 & 1.88522053662056 & 0.0244884462396638 \tabularnewline
0.46 & 1.88967291293462 & 0.0235068030300852 \tabularnewline
0.47 & 1.89394923940682 & 0.0226820091078000 \tabularnewline
0.48 & 1.89807779298054 & 0.0220094325705667 \tabularnewline
0.49 & 1.90208500906504 & 0.0214704923049344 \tabularnewline
0.5 & 1.90599399758176 & 0.0210389728051187 \tabularnewline
0.51 & 1.90982367360385 & 0.0206867790345343 \tabularnewline
0.52 & 1.91358846561626 & 0.0203849400894081 \tabularnewline
0.53 & 1.91729850543493 & 0.0201128815798520 \tabularnewline
0.54 & 1.92096016102694 & 0.0198488852686681 \tabularnewline
0.55 & 1.92457675985280 & 0.0195808191618546 \tabularnewline
0.56 & 1.92814937216746 & 0.0193039025989057 \tabularnewline
0.57 & 1.93167757468706 & 0.0190128828648335 \tabularnewline
0.58 & 1.93516017594128 & 0.0187068523790277 \tabularnewline
0.59 & 1.93859592951322 & 0.0183859938844861 \tabularnewline
0.6 & 1.94198426816875 & 0.0180529424303624 \tabularnewline
0.61 & 1.94532605324729 & 0.0177141059609711 \tabularnewline
0.62 & 1.94862426279316 & 0.0173841038253372 \tabularnewline
0.63 & 1.95188446988204 & 0.0170755911286916 \tabularnewline
0.64 & 1.95511492754813 & 0.0168103436078088 \tabularnewline
0.65 & 1.95832610797069 & 0.0166065933368159 \tabularnewline
0.66 & 1.96152964738267 & 0.0164693934721636 \tabularnewline
0.67 & 1.96473680121470 & 0.0163970746861184 \tabularnewline
0.68 & 1.96795666858250 & 0.0163721553423274 \tabularnewline
0.69 & 1.97119454532606 & 0.0163648538043849 \tabularnewline
0.7 & 1.97445076754129 & 0.0163405774662104 \tabularnewline
0.71 & 1.97772030170792 & 0.0162652759504877 \tabularnewline
0.72 & 1.98099315098872 & 0.0161127783591893 \tabularnewline
0.73 & 1.98425543920186 & 0.0158667491184692 \tabularnewline
0.74 & 1.98749087387598 & 0.0155240469747247 \tabularnewline
0.75 & 1.99068223166171 & 0.0150894545483208 \tabularnewline
0.76 & 1.99381257134499 & 0.0145719515968854 \tabularnewline
0.77 & 1.99686603776215 & 0.0139855491322939 \tabularnewline
0.78 & 1.99982831717058 & 0.0133410702550475 \tabularnewline
0.79 & 2.00268697087471 & 0.0126465399619094 \tabularnewline
0.8 & 2.00543194668434 & 0.0119140230077469 \tabularnewline
0.81 & 2.00805650925249 & 0.0111551317313648 \tabularnewline
0.82 & 2.01055864045235 & 0.0103888442698509 \tabularnewline
0.83 & 2.0129426895906 & 0.00964240880907147 \tabularnewline
0.84 & 2.01522080610022 & 0.00895152899429155 \tabularnewline
0.85 & 2.01741360695666 & 0.00835180772780258 \tabularnewline
0.86 & 2.01954973410218 & 0.00787747388047726 \tabularnewline
0.87 & 2.02166444082761 & 0.00754536112681656 \tabularnewline
0.88 & 2.02379793044583 & 0.00735328258035921 \tabularnewline
0.89 & 2.02599456024354 & 0.00728426469480915 \tabularnewline
0.9 & 2.02830397178869 & 0.00732368861007831 \tabularnewline
0.91 & 2.03078457314175 & 0.0074714251671622 \tabularnewline
0.92 & 2.0335082311156 & 0.00773759535015475 \tabularnewline
0.93 & 2.03656152065567 & 0.0081406296346583 \tabularnewline
0.94 & 2.04003242412485 & 0.0086843342802967 \tabularnewline
0.95 & 2.04396465889829 & 0.00927778055210253 \tabularnewline
0.96 & 2.04826721541250 & 0.00959361267804565 \tabularnewline
0.97 & 2.05260566012731 & 0.00898404141766215 \tabularnewline
0.98 & 2.05637872217483 & 0.006780735706459 \tabularnewline
0.99 & 2.05892958631624 & 0.00316626022850335 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9547&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]1.72249798554741[/C][C]0.00746317223529687[/C][/ROW]
[ROW][C]0.02[/C][C]1.72561228099266[/C][C]0.00452558383589247[/C][/ROW]
[ROW][C]0.03[/C][C]1.72804656677717[/C][C]0.00247616611479583[/C][/ROW]
[ROW][C]0.04[/C][C]1.72963377934492[/C][C]0.00187148447822084[/C][/ROW]
[ROW][C]0.05[/C][C]1.73077412085134[/C][C]0.00243923679955667[/C][/ROW]
[ROW][C]0.06[/C][C]1.73186757666175[/C][C]0.00340605987039966[/C][/ROW]
[ROW][C]0.07[/C][C]1.73312454188867[/C][C]0.00435792405634634[/C][/ROW]
[ROW][C]0.08[/C][C]1.73459133210963[/C][C]0.00510353832657477[/C][/ROW]
[ROW][C]0.09[/C][C]1.73622595435764[/C][C]0.00559110953141342[/C][/ROW]
[ROW][C]0.1[/C][C]1.73796031806238[/C][C]0.00587603094536151[/C][/ROW]
[ROW][C]0.11[/C][C]1.73973710135599[/C][C]0.00606340439745692[/C][/ROW]
[ROW][C]0.12[/C][C]1.74152484249470[/C][C]0.00625319458944029[/C][/ROW]
[ROW][C]0.13[/C][C]1.74331860782239[/C][C]0.00651395278943034[/C][/ROW]
[ROW][C]0.14[/C][C]1.74513387663839[/C][C]0.00688587334953579[/C][/ROW]
[ROW][C]0.15[/C][C]1.74699922917380[/C][C]0.007403450161813[/C][/ROW]
[ROW][C]0.16[/C][C]1.74895030972921[/C][C]0.00809486639895521[/C][/ROW]
[ROW][C]0.17[/C][C]1.75102512806171[/C][C]0.00897249022569212[/C][/ROW]
[ROW][C]0.18[/C][C]1.75325996890702[/C][C]0.0100219045872110[/C][/ROW]
[ROW][C]0.19[/C][C]1.75568567298736[/C][C]0.0111943020565881[/C][/ROW]
[ROW][C]0.2[/C][C]1.75832486864745[/C][C]0.012437828367189[/C][/ROW]
[ROW][C]0.21[/C][C]1.76119106371070[/C][C]0.0137016998542971[/C][/ROW]
[ROW][C]0.22[/C][C]1.76429011325974[/C][C]0.0149625303190639[/C][/ROW]
[ROW][C]0.23[/C][C]1.76762373691544[/C][C]0.0162189689011405[/C][/ROW]
[ROW][C]0.24[/C][C]1.77119395323694[/C][C]0.0175085022184239[/C][/ROW]
[ROW][C]0.25[/C][C]1.77500691640375[/C][C]0.0188788898746805[/C][/ROW]
[ROW][C]0.26[/C][C]1.77907481403604[/C][C]0.0203760131250019[/C][/ROW]
[ROW][C]0.27[/C][C]1.78341509950329[/C][C]0.0220293061310535[/C][/ROW]
[ROW][C]0.28[/C][C]1.78804713124428[/C][C]0.0238310825285991[/C][/ROW]
[ROW][C]0.29[/C][C]1.7929870062635[/C][C]0.0257357023926524[/C][/ROW]
[ROW][C]0.3[/C][C]1.79824181488540[/C][C]0.0276623512992215[/C][/ROW]
[ROW][C]0.31[/C][C]1.80380463472446[/C][C]0.0295097407801301[/C][/ROW]
[ROW][C]0.32[/C][C]1.80965135522306[/C][C]0.0311651447719259[/C][/ROW]
[ROW][C]0.33[/C][C]1.81573998150913[/C][C]0.0325261331769387[/C][/ROW]
[ROW][C]0.34[/C][C]1.82201253740808[/C][C]0.0335087169622551[/C][/ROW]
[ROW][C]0.35[/C][C]1.82839919525655[/C][C]0.0340613550522287[/C][/ROW]
[ROW][C]0.36[/C][C]1.83482389796039[/C][C]0.0341671919953117[/C][/ROW]
[ROW][C]0.37[/C][C]1.84121055816444[/C][C]0.0338487429587117[/C][/ROW]
[ROW][C]0.38[/C][C]1.84748892814598[/C][C]0.0331540052646098[/C][/ROW]
[ROW][C]0.39[/C][C]1.85359940117887[/C][C]0.0321587555251882[/C][/ROW]
[ROW][C]0.4[/C][C]1.85949627274440[/C][C]0.0309472143732504[/C][/ROW]
[ROW][C]0.41[/C][C]1.86514928912248[/C][C]0.0296102425225973[/C][/ROW]
[ROW][C]0.42[/C][C]1.87054357847470[/C][C]0.0282309129884682[/C][/ROW]
[ROW][C]0.43[/C][C]1.87567825208657[/C][C]0.0268831937474616[/C][/ROW]
[ROW][C]0.44[/C][C]1.88056406422652[/C][C]0.0256218447195769[/C][/ROW]
[ROW][C]0.45[/C][C]1.88522053662056[/C][C]0.0244884462396638[/C][/ROW]
[ROW][C]0.46[/C][C]1.88967291293462[/C][C]0.0235068030300852[/C][/ROW]
[ROW][C]0.47[/C][C]1.89394923940682[/C][C]0.0226820091078000[/C][/ROW]
[ROW][C]0.48[/C][C]1.89807779298054[/C][C]0.0220094325705667[/C][/ROW]
[ROW][C]0.49[/C][C]1.90208500906504[/C][C]0.0214704923049344[/C][/ROW]
[ROW][C]0.5[/C][C]1.90599399758176[/C][C]0.0210389728051187[/C][/ROW]
[ROW][C]0.51[/C][C]1.90982367360385[/C][C]0.0206867790345343[/C][/ROW]
[ROW][C]0.52[/C][C]1.91358846561626[/C][C]0.0203849400894081[/C][/ROW]
[ROW][C]0.53[/C][C]1.91729850543493[/C][C]0.0201128815798520[/C][/ROW]
[ROW][C]0.54[/C][C]1.92096016102694[/C][C]0.0198488852686681[/C][/ROW]
[ROW][C]0.55[/C][C]1.92457675985280[/C][C]0.0195808191618546[/C][/ROW]
[ROW][C]0.56[/C][C]1.92814937216746[/C][C]0.0193039025989057[/C][/ROW]
[ROW][C]0.57[/C][C]1.93167757468706[/C][C]0.0190128828648335[/C][/ROW]
[ROW][C]0.58[/C][C]1.93516017594128[/C][C]0.0187068523790277[/C][/ROW]
[ROW][C]0.59[/C][C]1.93859592951322[/C][C]0.0183859938844861[/C][/ROW]
[ROW][C]0.6[/C][C]1.94198426816875[/C][C]0.0180529424303624[/C][/ROW]
[ROW][C]0.61[/C][C]1.94532605324729[/C][C]0.0177141059609711[/C][/ROW]
[ROW][C]0.62[/C][C]1.94862426279316[/C][C]0.0173841038253372[/C][/ROW]
[ROW][C]0.63[/C][C]1.95188446988204[/C][C]0.0170755911286916[/C][/ROW]
[ROW][C]0.64[/C][C]1.95511492754813[/C][C]0.0168103436078088[/C][/ROW]
[ROW][C]0.65[/C][C]1.95832610797069[/C][C]0.0166065933368159[/C][/ROW]
[ROW][C]0.66[/C][C]1.96152964738267[/C][C]0.0164693934721636[/C][/ROW]
[ROW][C]0.67[/C][C]1.96473680121470[/C][C]0.0163970746861184[/C][/ROW]
[ROW][C]0.68[/C][C]1.96795666858250[/C][C]0.0163721553423274[/C][/ROW]
[ROW][C]0.69[/C][C]1.97119454532606[/C][C]0.0163648538043849[/C][/ROW]
[ROW][C]0.7[/C][C]1.97445076754129[/C][C]0.0163405774662104[/C][/ROW]
[ROW][C]0.71[/C][C]1.97772030170792[/C][C]0.0162652759504877[/C][/ROW]
[ROW][C]0.72[/C][C]1.98099315098872[/C][C]0.0161127783591893[/C][/ROW]
[ROW][C]0.73[/C][C]1.98425543920186[/C][C]0.0158667491184692[/C][/ROW]
[ROW][C]0.74[/C][C]1.98749087387598[/C][C]0.0155240469747247[/C][/ROW]
[ROW][C]0.75[/C][C]1.99068223166171[/C][C]0.0150894545483208[/C][/ROW]
[ROW][C]0.76[/C][C]1.99381257134499[/C][C]0.0145719515968854[/C][/ROW]
[ROW][C]0.77[/C][C]1.99686603776215[/C][C]0.0139855491322939[/C][/ROW]
[ROW][C]0.78[/C][C]1.99982831717058[/C][C]0.0133410702550475[/C][/ROW]
[ROW][C]0.79[/C][C]2.00268697087471[/C][C]0.0126465399619094[/C][/ROW]
[ROW][C]0.8[/C][C]2.00543194668434[/C][C]0.0119140230077469[/C][/ROW]
[ROW][C]0.81[/C][C]2.00805650925249[/C][C]0.0111551317313648[/C][/ROW]
[ROW][C]0.82[/C][C]2.01055864045235[/C][C]0.0103888442698509[/C][/ROW]
[ROW][C]0.83[/C][C]2.0129426895906[/C][C]0.00964240880907147[/C][/ROW]
[ROW][C]0.84[/C][C]2.01522080610022[/C][C]0.00895152899429155[/C][/ROW]
[ROW][C]0.85[/C][C]2.01741360695666[/C][C]0.00835180772780258[/C][/ROW]
[ROW][C]0.86[/C][C]2.01954973410218[/C][C]0.00787747388047726[/C][/ROW]
[ROW][C]0.87[/C][C]2.02166444082761[/C][C]0.00754536112681656[/C][/ROW]
[ROW][C]0.88[/C][C]2.02379793044583[/C][C]0.00735328258035921[/C][/ROW]
[ROW][C]0.89[/C][C]2.02599456024354[/C][C]0.00728426469480915[/C][/ROW]
[ROW][C]0.9[/C][C]2.02830397178869[/C][C]0.00732368861007831[/C][/ROW]
[ROW][C]0.91[/C][C]2.03078457314175[/C][C]0.0074714251671622[/C][/ROW]
[ROW][C]0.92[/C][C]2.0335082311156[/C][C]0.00773759535015475[/C][/ROW]
[ROW][C]0.93[/C][C]2.03656152065567[/C][C]0.0081406296346583[/C][/ROW]
[ROW][C]0.94[/C][C]2.04003242412485[/C][C]0.0086843342802967[/C][/ROW]
[ROW][C]0.95[/C][C]2.04396465889829[/C][C]0.00927778055210253[/C][/ROW]
[ROW][C]0.96[/C][C]2.04826721541250[/C][C]0.00959361267804565[/C][/ROW]
[ROW][C]0.97[/C][C]2.05260566012731[/C][C]0.00898404141766215[/C][/ROW]
[ROW][C]0.98[/C][C]2.05637872217483[/C][C]0.006780735706459[/C][/ROW]
[ROW][C]0.99[/C][C]2.05892958631624[/C][C]0.00316626022850335[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9547&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9547&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.722497985547410.00746317223529687
0.021.725612280992660.00452558383589247
0.031.728046566777170.00247616611479583
0.041.729633779344920.00187148447822084
0.051.730774120851340.00243923679955667
0.061.731867576661750.00340605987039966
0.071.733124541888670.00435792405634634
0.081.734591332109630.00510353832657477
0.091.736225954357640.00559110953141342
0.11.737960318062380.00587603094536151
0.111.739737101355990.00606340439745692
0.121.741524842494700.00625319458944029
0.131.743318607822390.00651395278943034
0.141.745133876638390.00688587334953579
0.151.746999229173800.007403450161813
0.161.748950309729210.00809486639895521
0.171.751025128061710.00897249022569212
0.181.753259968907020.0100219045872110
0.191.755685672987360.0111943020565881
0.21.758324868647450.012437828367189
0.211.761191063710700.0137016998542971
0.221.764290113259740.0149625303190639
0.231.767623736915440.0162189689011405
0.241.771193953236940.0175085022184239
0.251.775006916403750.0188788898746805
0.261.779074814036040.0203760131250019
0.271.783415099503290.0220293061310535
0.281.788047131244280.0238310825285991
0.291.79298700626350.0257357023926524
0.31.798241814885400.0276623512992215
0.311.803804634724460.0295097407801301
0.321.809651355223060.0311651447719259
0.331.815739981509130.0325261331769387
0.341.822012537408080.0335087169622551
0.351.828399195256550.0340613550522287
0.361.834823897960390.0341671919953117
0.371.841210558164440.0338487429587117
0.381.847488928145980.0331540052646098
0.391.853599401178870.0321587555251882
0.41.859496272744400.0309472143732504
0.411.865149289122480.0296102425225973
0.421.870543578474700.0282309129884682
0.431.875678252086570.0268831937474616
0.441.880564064226520.0256218447195769
0.451.885220536620560.0244884462396638
0.461.889672912934620.0235068030300852
0.471.893949239406820.0226820091078000
0.481.898077792980540.0220094325705667
0.491.902085009065040.0214704923049344
0.51.905993997581760.0210389728051187
0.511.909823673603850.0206867790345343
0.521.913588465616260.0203849400894081
0.531.917298505434930.0201128815798520
0.541.920960161026940.0198488852686681
0.551.924576759852800.0195808191618546
0.561.928149372167460.0193039025989057
0.571.931677574687060.0190128828648335
0.581.935160175941280.0187068523790277
0.591.938595929513220.0183859938844861
0.61.941984268168750.0180529424303624
0.611.945326053247290.0177141059609711
0.621.948624262793160.0173841038253372
0.631.951884469882040.0170755911286916
0.641.955114927548130.0168103436078088
0.651.958326107970690.0166065933368159
0.661.961529647382670.0164693934721636
0.671.964736801214700.0163970746861184
0.681.967956668582500.0163721553423274
0.691.971194545326060.0163648538043849
0.71.974450767541290.0163405774662104
0.711.977720301707920.0162652759504877
0.721.980993150988720.0161127783591893
0.731.984255439201860.0158667491184692
0.741.987490873875980.0155240469747247
0.751.990682231661710.0150894545483208
0.761.993812571344990.0145719515968854
0.771.996866037762150.0139855491322939
0.781.999828317170580.0133410702550475
0.792.002686970874710.0126465399619094
0.82.005431946684340.0119140230077469
0.812.008056509252490.0111551317313648
0.822.010558640452350.0103888442698509
0.832.01294268959060.00964240880907147
0.842.015220806100220.00895152899429155
0.852.017413606956660.00835180772780258
0.862.019549734102180.00787747388047726
0.872.021664440827610.00754536112681656
0.882.023797930445830.00735328258035921
0.892.025994560243540.00728426469480915
0.92.028303971788690.00732368861007831
0.912.030784573141750.0074714251671622
0.922.03350823111560.00773759535015475
0.932.036561520655670.0081406296346583
0.942.040032424124850.0086843342802967
0.952.043964658898290.00927778055210253
0.962.048267215412500.00959361267804565
0.972.052605660127310.00898404141766215
0.982.056378722174830.006780735706459
0.992.058929586316240.00316626022850335



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')