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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 27 Oct 2008 12:49:09 -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/2008/Oct/27/t1225133379t0la3v4nirqo412.htm/, Retrieved Sun, 19 May 2024 13:58:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19400, Retrieved Sun, 19 May 2024 13:58:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact132

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Harrell-Davis Quantiles] [Q9 IA2] [2008-10-27 18:49:09] [b05bea52879de0a398b42c6968cc24b2] [Current]
Feedback Forum
2008-11-02 20:09:23 [Bernard Femont] [reply] 
Een betrouwbaarheid is van 81%. Bij deze betrouwbaarheidsgraad vindt ik het interval (1,68053250324918 ; 2,12849094662422) terug. Juiste interpretatie van de student

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.387791741
1.720577617
1.539828431
1.944402133
1.800769231
1.77498253
1.695994278
1.771285476
1.780959752
1.751743375
1.894578313
1.492106696
1.751202749
1.511026616
1.389159562
1.885874649
2.013234078
1.662673392
1.631907308
1.741298213
1.634666667
1.845120226
1.794357832
1.70634355
1.826020015
1.756302521
1.978877888
2.035284683
1.834655278
1.909722222
2.046095955
1.922776911
1.66959707
1.832018927
1.792428198
1.787628866
1.784637473
1.794059406
1.752317881
2.08244898
1.719720989
1.839096683
1.932189542
2.086828116
2.148805879
1.776693106
1.880355277
1.714375788
1.848582474
1.962998558
1.790666667
1.7710508
2.089115646
1.832341806
1.912040375
2.003768844
1.814977974
1.832591769
1.973126615
1.709591945
1.950172669
1.831730769
1.848971722
2.089774078
2.077310924
1.845906902
1.886580573
1.974063401
1.705836576
2.002685285
2.20196281
2.330452128
2.081586402
2.433727442
1.871274572
2.221701273
2.115789474
2.057647059
2.07340824
1.903479974
1.956199877
1.951916829
2.126450825
1.980302035
1.830042313
1.929081913
1.777289837
2.299484915
2.026962728
2.106852497
2.044065387
1.865942029
1.767965895
2.045211184
1.897535668
1.800469484
2.106918239

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=19400&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=19400&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19400&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
0.011.403349490553580.038072787466538
0.021.438436366061680.0653752099171856
0.031.482564297355160.0715298214499108
0.041.525822143721160.0711926997935647
0.051.564419994214770.0690934067805581
0.061.59769484466340.0635512804915902
0.071.625578604107620.055152388103874
0.081.648246412402020.0461622221478848
0.091.666276398265510.0382368727185865
0.11.680532503249180.0319012695958214
0.111.691925337903540.0271288811623628
0.121.701263567257590.0238322014364533
0.131.709208993424580.0219037712014220
0.141.716271312364350.021070443707231
0.151.722807316208810.0208910477991465
0.161.729026451938420.0208977673917732
0.171.735012726959940.0207481097546542
0.181.740762679379970.0202703421716489
0.191.746229058936530.0194520992498881
0.21.751358118471830.0183797195677827
0.211.7561133680990.0171775763461650
0.221.760485250448000.0159615847690846
0.231.764490645066620.0148330417014848
0.241.768167300695460.0138544432111143
0.251.771567150367440.0130793105816561
0.261.774750548846710.0125380204143418
0.271.777781923172890.0122498944505142
0.281.780726516342100.0122310623747525
0.291.783647664983570.0124688588260535
0.31.786604089196080.0129477831189656
0.311.789646826757520.0136343270414560
0.321.792815709615750.0144710147942148
0.331.796135677437830.0153816532910241
0.341.799613673353540.0162716531271368
0.351.803237182181380.017038704985169
0.361.806975445010200.0176005234791191
0.371.810783919662110.0178911612269348
0.381.814611745146600.0179013863527792
0.391.818411068307350.0176692518980681
0.41.822146423643970.0172812516024352
0.411.825802170987040.0168636959225105
0.421.829386365665020.0165457124517922
0.431.832930243328570.0164581117619303
0.441.836483493289910.0166785343281680
0.451.840106386271710.0172415563854281
0.461.843860399133700.0181151627357438
0.471.847799146451560.0192221716660333
0.481.851961212308330.0204596204062694
0.491.856365979549460.0217130552610242
0.51.861012911215720.0228844193578723
0.511.865884077224050.0238945167982994
0.521.870949146848710.0246991992950696
0.531.876171672331910.0252927409086425
0.541.881515336276740.0256992788911102
0.551.886948955774340.0259596571122929
0.561.892449408853280.0261305184300635
0.571.898002194009740.0262498182952677
0.581.903599923114130.0263592507283155
0.591.909239536271290.0264615839800276
0.61.914919292345400.0265533932386357
0.611.920636568417060.0266132272770192
0.621.926387209196770.0266291014464577
0.631.932166685932490.0265965110185425
0.641.937972778089220.0265260457272676
0.651.943809011649980.0264577934860549
0.661.949687784009610.0264375142241045
0.671.955632045874980.0265241171871295
0.681.961674620376320.0267672524279306
0.691.967854702407910.0271949322012798
0.71.974211738272410.0277942215289791
0.711.980777626716860.0285113197821633
0.721.987568836219080.0292510249520533
0.731.994580378179750.0299038199906569
0.742.001783392415510.0303470290698508
0.752.009127276603000.0304929007850405
0.762.016545941196860.0302883552448800
0.772.023966315104560.029737228062239
0.782.031316320452840.0288776856346908
0.792.038529808928360.0277754774499964
0.82.045547620899070.0264763239854655
0.812.052316458536900.0250083642342094
0.822.058789393333480.0233855031359781
0.832.064932112167980.0216336071868503
0.842.070736768668780.0198350464586386
0.852.076241486935790.0181639222760613
0.862.081550734731720.0168658674343165
0.872.086852817936940.0162190332941791
0.882.092436330676710.0164824136974235
0.892.098713672080510.0178886751744192
0.92.106258662787820.0207173657222917
0.912.11585032673470.0253340563649958
0.922.128490946624220.0320101766004275
0.932.145353312142500.0405818615054719
0.942.167627722098190.0502215643308406
0.952.196290351168840.0594905967702367
0.962.231972121436220.0663986746742171
0.972.275437289264390.0689380690229031
0.982.328376700971660.0697358480033286
0.992.388636426529720.0818813533337189

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.40334949055358 & 0.038072787466538 \tabularnewline
0.02 & 1.43843636606168 & 0.0653752099171856 \tabularnewline
0.03 & 1.48256429735516 & 0.0715298214499108 \tabularnewline
0.04 & 1.52582214372116 & 0.0711926997935647 \tabularnewline
0.05 & 1.56441999421477 & 0.0690934067805581 \tabularnewline
0.06 & 1.5976948446634 & 0.0635512804915902 \tabularnewline
0.07 & 1.62557860410762 & 0.055152388103874 \tabularnewline
0.08 & 1.64824641240202 & 0.0461622221478848 \tabularnewline
0.09 & 1.66627639826551 & 0.0382368727185865 \tabularnewline
0.1 & 1.68053250324918 & 0.0319012695958214 \tabularnewline
0.11 & 1.69192533790354 & 0.0271288811623628 \tabularnewline
0.12 & 1.70126356725759 & 0.0238322014364533 \tabularnewline
0.13 & 1.70920899342458 & 0.0219037712014220 \tabularnewline
0.14 & 1.71627131236435 & 0.021070443707231 \tabularnewline
0.15 & 1.72280731620881 & 0.0208910477991465 \tabularnewline
0.16 & 1.72902645193842 & 0.0208977673917732 \tabularnewline
0.17 & 1.73501272695994 & 0.0207481097546542 \tabularnewline
0.18 & 1.74076267937997 & 0.0202703421716489 \tabularnewline
0.19 & 1.74622905893653 & 0.0194520992498881 \tabularnewline
0.2 & 1.75135811847183 & 0.0183797195677827 \tabularnewline
0.21 & 1.756113368099 & 0.0171775763461650 \tabularnewline
0.22 & 1.76048525044800 & 0.0159615847690846 \tabularnewline
0.23 & 1.76449064506662 & 0.0148330417014848 \tabularnewline
0.24 & 1.76816730069546 & 0.0138544432111143 \tabularnewline
0.25 & 1.77156715036744 & 0.0130793105816561 \tabularnewline
0.26 & 1.77475054884671 & 0.0125380204143418 \tabularnewline
0.27 & 1.77778192317289 & 0.0122498944505142 \tabularnewline
0.28 & 1.78072651634210 & 0.0122310623747525 \tabularnewline
0.29 & 1.78364766498357 & 0.0124688588260535 \tabularnewline
0.3 & 1.78660408919608 & 0.0129477831189656 \tabularnewline
0.31 & 1.78964682675752 & 0.0136343270414560 \tabularnewline
0.32 & 1.79281570961575 & 0.0144710147942148 \tabularnewline
0.33 & 1.79613567743783 & 0.0153816532910241 \tabularnewline
0.34 & 1.79961367335354 & 0.0162716531271368 \tabularnewline
0.35 & 1.80323718218138 & 0.017038704985169 \tabularnewline
0.36 & 1.80697544501020 & 0.0176005234791191 \tabularnewline
0.37 & 1.81078391966211 & 0.0178911612269348 \tabularnewline
0.38 & 1.81461174514660 & 0.0179013863527792 \tabularnewline
0.39 & 1.81841106830735 & 0.0176692518980681 \tabularnewline
0.4 & 1.82214642364397 & 0.0172812516024352 \tabularnewline
0.41 & 1.82580217098704 & 0.0168636959225105 \tabularnewline
0.42 & 1.82938636566502 & 0.0165457124517922 \tabularnewline
0.43 & 1.83293024332857 & 0.0164581117619303 \tabularnewline
0.44 & 1.83648349328991 & 0.0166785343281680 \tabularnewline
0.45 & 1.84010638627171 & 0.0172415563854281 \tabularnewline
0.46 & 1.84386039913370 & 0.0181151627357438 \tabularnewline
0.47 & 1.84779914645156 & 0.0192221716660333 \tabularnewline
0.48 & 1.85196121230833 & 0.0204596204062694 \tabularnewline
0.49 & 1.85636597954946 & 0.0217130552610242 \tabularnewline
0.5 & 1.86101291121572 & 0.0228844193578723 \tabularnewline
0.51 & 1.86588407722405 & 0.0238945167982994 \tabularnewline
0.52 & 1.87094914684871 & 0.0246991992950696 \tabularnewline
0.53 & 1.87617167233191 & 0.0252927409086425 \tabularnewline
0.54 & 1.88151533627674 & 0.0256992788911102 \tabularnewline
0.55 & 1.88694895577434 & 0.0259596571122929 \tabularnewline
0.56 & 1.89244940885328 & 0.0261305184300635 \tabularnewline
0.57 & 1.89800219400974 & 0.0262498182952677 \tabularnewline
0.58 & 1.90359992311413 & 0.0263592507283155 \tabularnewline
0.59 & 1.90923953627129 & 0.0264615839800276 \tabularnewline
0.6 & 1.91491929234540 & 0.0265533932386357 \tabularnewline
0.61 & 1.92063656841706 & 0.0266132272770192 \tabularnewline
0.62 & 1.92638720919677 & 0.0266291014464577 \tabularnewline
0.63 & 1.93216668593249 & 0.0265965110185425 \tabularnewline
0.64 & 1.93797277808922 & 0.0265260457272676 \tabularnewline
0.65 & 1.94380901164998 & 0.0264577934860549 \tabularnewline
0.66 & 1.94968778400961 & 0.0264375142241045 \tabularnewline
0.67 & 1.95563204587498 & 0.0265241171871295 \tabularnewline
0.68 & 1.96167462037632 & 0.0267672524279306 \tabularnewline
0.69 & 1.96785470240791 & 0.0271949322012798 \tabularnewline
0.7 & 1.97421173827241 & 0.0277942215289791 \tabularnewline
0.71 & 1.98077762671686 & 0.0285113197821633 \tabularnewline
0.72 & 1.98756883621908 & 0.0292510249520533 \tabularnewline
0.73 & 1.99458037817975 & 0.0299038199906569 \tabularnewline
0.74 & 2.00178339241551 & 0.0303470290698508 \tabularnewline
0.75 & 2.00912727660300 & 0.0304929007850405 \tabularnewline
0.76 & 2.01654594119686 & 0.0302883552448800 \tabularnewline
0.77 & 2.02396631510456 & 0.029737228062239 \tabularnewline
0.78 & 2.03131632045284 & 0.0288776856346908 \tabularnewline
0.79 & 2.03852980892836 & 0.0277754774499964 \tabularnewline
0.8 & 2.04554762089907 & 0.0264763239854655 \tabularnewline
0.81 & 2.05231645853690 & 0.0250083642342094 \tabularnewline
0.82 & 2.05878939333348 & 0.0233855031359781 \tabularnewline
0.83 & 2.06493211216798 & 0.0216336071868503 \tabularnewline
0.84 & 2.07073676866878 & 0.0198350464586386 \tabularnewline
0.85 & 2.07624148693579 & 0.0181639222760613 \tabularnewline
0.86 & 2.08155073473172 & 0.0168658674343165 \tabularnewline
0.87 & 2.08685281793694 & 0.0162190332941791 \tabularnewline
0.88 & 2.09243633067671 & 0.0164824136974235 \tabularnewline
0.89 & 2.09871367208051 & 0.0178886751744192 \tabularnewline
0.9 & 2.10625866278782 & 0.0207173657222917 \tabularnewline
0.91 & 2.1158503267347 & 0.0253340563649958 \tabularnewline
0.92 & 2.12849094662422 & 0.0320101766004275 \tabularnewline
0.93 & 2.14535331214250 & 0.0405818615054719 \tabularnewline
0.94 & 2.16762772209819 & 0.0502215643308406 \tabularnewline
0.95 & 2.19629035116884 & 0.0594905967702367 \tabularnewline
0.96 & 2.23197212143622 & 0.0663986746742171 \tabularnewline
0.97 & 2.27543728926439 & 0.0689380690229031 \tabularnewline
0.98 & 2.32837670097166 & 0.0697358480033286 \tabularnewline
0.99 & 2.38863642652972 & 0.0818813533337189 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19400&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]1.40334949055358[/C][C]0.038072787466538[/C][/ROW]
[ROW][C]0.02[/C][C]1.43843636606168[/C][C]0.0653752099171856[/C][/ROW]
[ROW][C]0.03[/C][C]1.48256429735516[/C][C]0.0715298214499108[/C][/ROW]
[ROW][C]0.04[/C][C]1.52582214372116[/C][C]0.0711926997935647[/C][/ROW]
[ROW][C]0.05[/C][C]1.56441999421477[/C][C]0.0690934067805581[/C][/ROW]
[ROW][C]0.06[/C][C]1.5976948446634[/C][C]0.0635512804915902[/C][/ROW]
[ROW][C]0.07[/C][C]1.62557860410762[/C][C]0.055152388103874[/C][/ROW]
[ROW][C]0.08[/C][C]1.64824641240202[/C][C]0.0461622221478848[/C][/ROW]
[ROW][C]0.09[/C][C]1.66627639826551[/C][C]0.0382368727185865[/C][/ROW]
[ROW][C]0.1[/C][C]1.68053250324918[/C][C]0.0319012695958214[/C][/ROW]
[ROW][C]0.11[/C][C]1.69192533790354[/C][C]0.0271288811623628[/C][/ROW]
[ROW][C]0.12[/C][C]1.70126356725759[/C][C]0.0238322014364533[/C][/ROW]
[ROW][C]0.13[/C][C]1.70920899342458[/C][C]0.0219037712014220[/C][/ROW]
[ROW][C]0.14[/C][C]1.71627131236435[/C][C]0.021070443707231[/C][/ROW]
[ROW][C]0.15[/C][C]1.72280731620881[/C][C]0.0208910477991465[/C][/ROW]
[ROW][C]0.16[/C][C]1.72902645193842[/C][C]0.0208977673917732[/C][/ROW]
[ROW][C]0.17[/C][C]1.73501272695994[/C][C]0.0207481097546542[/C][/ROW]
[ROW][C]0.18[/C][C]1.74076267937997[/C][C]0.0202703421716489[/C][/ROW]
[ROW][C]0.19[/C][C]1.74622905893653[/C][C]0.0194520992498881[/C][/ROW]
[ROW][C]0.2[/C][C]1.75135811847183[/C][C]0.0183797195677827[/C][/ROW]
[ROW][C]0.21[/C][C]1.756113368099[/C][C]0.0171775763461650[/C][/ROW]
[ROW][C]0.22[/C][C]1.76048525044800[/C][C]0.0159615847690846[/C][/ROW]
[ROW][C]0.23[/C][C]1.76449064506662[/C][C]0.0148330417014848[/C][/ROW]
[ROW][C]0.24[/C][C]1.76816730069546[/C][C]0.0138544432111143[/C][/ROW]
[ROW][C]0.25[/C][C]1.77156715036744[/C][C]0.0130793105816561[/C][/ROW]
[ROW][C]0.26[/C][C]1.77475054884671[/C][C]0.0125380204143418[/C][/ROW]
[ROW][C]0.27[/C][C]1.77778192317289[/C][C]0.0122498944505142[/C][/ROW]
[ROW][C]0.28[/C][C]1.78072651634210[/C][C]0.0122310623747525[/C][/ROW]
[ROW][C]0.29[/C][C]1.78364766498357[/C][C]0.0124688588260535[/C][/ROW]
[ROW][C]0.3[/C][C]1.78660408919608[/C][C]0.0129477831189656[/C][/ROW]
[ROW][C]0.31[/C][C]1.78964682675752[/C][C]0.0136343270414560[/C][/ROW]
[ROW][C]0.32[/C][C]1.79281570961575[/C][C]0.0144710147942148[/C][/ROW]
[ROW][C]0.33[/C][C]1.79613567743783[/C][C]0.0153816532910241[/C][/ROW]
[ROW][C]0.34[/C][C]1.79961367335354[/C][C]0.0162716531271368[/C][/ROW]
[ROW][C]0.35[/C][C]1.80323718218138[/C][C]0.017038704985169[/C][/ROW]
[ROW][C]0.36[/C][C]1.80697544501020[/C][C]0.0176005234791191[/C][/ROW]
[ROW][C]0.37[/C][C]1.81078391966211[/C][C]0.0178911612269348[/C][/ROW]
[ROW][C]0.38[/C][C]1.81461174514660[/C][C]0.0179013863527792[/C][/ROW]
[ROW][C]0.39[/C][C]1.81841106830735[/C][C]0.0176692518980681[/C][/ROW]
[ROW][C]0.4[/C][C]1.82214642364397[/C][C]0.0172812516024352[/C][/ROW]
[ROW][C]0.41[/C][C]1.82580217098704[/C][C]0.0168636959225105[/C][/ROW]
[ROW][C]0.42[/C][C]1.82938636566502[/C][C]0.0165457124517922[/C][/ROW]
[ROW][C]0.43[/C][C]1.83293024332857[/C][C]0.0164581117619303[/C][/ROW]
[ROW][C]0.44[/C][C]1.83648349328991[/C][C]0.0166785343281680[/C][/ROW]
[ROW][C]0.45[/C][C]1.84010638627171[/C][C]0.0172415563854281[/C][/ROW]
[ROW][C]0.46[/C][C]1.84386039913370[/C][C]0.0181151627357438[/C][/ROW]
[ROW][C]0.47[/C][C]1.84779914645156[/C][C]0.0192221716660333[/C][/ROW]
[ROW][C]0.48[/C][C]1.85196121230833[/C][C]0.0204596204062694[/C][/ROW]
[ROW][C]0.49[/C][C]1.85636597954946[/C][C]0.0217130552610242[/C][/ROW]
[ROW][C]0.5[/C][C]1.86101291121572[/C][C]0.0228844193578723[/C][/ROW]
[ROW][C]0.51[/C][C]1.86588407722405[/C][C]0.0238945167982994[/C][/ROW]
[ROW][C]0.52[/C][C]1.87094914684871[/C][C]0.0246991992950696[/C][/ROW]
[ROW][C]0.53[/C][C]1.87617167233191[/C][C]0.0252927409086425[/C][/ROW]
[ROW][C]0.54[/C][C]1.88151533627674[/C][C]0.0256992788911102[/C][/ROW]
[ROW][C]0.55[/C][C]1.88694895577434[/C][C]0.0259596571122929[/C][/ROW]
[ROW][C]0.56[/C][C]1.89244940885328[/C][C]0.0261305184300635[/C][/ROW]
[ROW][C]0.57[/C][C]1.89800219400974[/C][C]0.0262498182952677[/C][/ROW]
[ROW][C]0.58[/C][C]1.90359992311413[/C][C]0.0263592507283155[/C][/ROW]
[ROW][C]0.59[/C][C]1.90923953627129[/C][C]0.0264615839800276[/C][/ROW]
[ROW][C]0.6[/C][C]1.91491929234540[/C][C]0.0265533932386357[/C][/ROW]
[ROW][C]0.61[/C][C]1.92063656841706[/C][C]0.0266132272770192[/C][/ROW]
[ROW][C]0.62[/C][C]1.92638720919677[/C][C]0.0266291014464577[/C][/ROW]
[ROW][C]0.63[/C][C]1.93216668593249[/C][C]0.0265965110185425[/C][/ROW]
[ROW][C]0.64[/C][C]1.93797277808922[/C][C]0.0265260457272676[/C][/ROW]
[ROW][C]0.65[/C][C]1.94380901164998[/C][C]0.0264577934860549[/C][/ROW]
[ROW][C]0.66[/C][C]1.94968778400961[/C][C]0.0264375142241045[/C][/ROW]
[ROW][C]0.67[/C][C]1.95563204587498[/C][C]0.0265241171871295[/C][/ROW]
[ROW][C]0.68[/C][C]1.96167462037632[/C][C]0.0267672524279306[/C][/ROW]
[ROW][C]0.69[/C][C]1.96785470240791[/C][C]0.0271949322012798[/C][/ROW]
[ROW][C]0.7[/C][C]1.97421173827241[/C][C]0.0277942215289791[/C][/ROW]
[ROW][C]0.71[/C][C]1.98077762671686[/C][C]0.0285113197821633[/C][/ROW]
[ROW][C]0.72[/C][C]1.98756883621908[/C][C]0.0292510249520533[/C][/ROW]
[ROW][C]0.73[/C][C]1.99458037817975[/C][C]0.0299038199906569[/C][/ROW]
[ROW][C]0.74[/C][C]2.00178339241551[/C][C]0.0303470290698508[/C][/ROW]
[ROW][C]0.75[/C][C]2.00912727660300[/C][C]0.0304929007850405[/C][/ROW]
[ROW][C]0.76[/C][C]2.01654594119686[/C][C]0.0302883552448800[/C][/ROW]
[ROW][C]0.77[/C][C]2.02396631510456[/C][C]0.029737228062239[/C][/ROW]
[ROW][C]0.78[/C][C]2.03131632045284[/C][C]0.0288776856346908[/C][/ROW]
[ROW][C]0.79[/C][C]2.03852980892836[/C][C]0.0277754774499964[/C][/ROW]
[ROW][C]0.8[/C][C]2.04554762089907[/C][C]0.0264763239854655[/C][/ROW]
[ROW][C]0.81[/C][C]2.05231645853690[/C][C]0.0250083642342094[/C][/ROW]
[ROW][C]0.82[/C][C]2.05878939333348[/C][C]0.0233855031359781[/C][/ROW]
[ROW][C]0.83[/C][C]2.06493211216798[/C][C]0.0216336071868503[/C][/ROW]
[ROW][C]0.84[/C][C]2.07073676866878[/C][C]0.0198350464586386[/C][/ROW]
[ROW][C]0.85[/C][C]2.07624148693579[/C][C]0.0181639222760613[/C][/ROW]
[ROW][C]0.86[/C][C]2.08155073473172[/C][C]0.0168658674343165[/C][/ROW]
[ROW][C]0.87[/C][C]2.08685281793694[/C][C]0.0162190332941791[/C][/ROW]
[ROW][C]0.88[/C][C]2.09243633067671[/C][C]0.0164824136974235[/C][/ROW]
[ROW][C]0.89[/C][C]2.09871367208051[/C][C]0.0178886751744192[/C][/ROW]
[ROW][C]0.9[/C][C]2.10625866278782[/C][C]0.0207173657222917[/C][/ROW]
[ROW][C]0.91[/C][C]2.1158503267347[/C][C]0.0253340563649958[/C][/ROW]
[ROW][C]0.92[/C][C]2.12849094662422[/C][C]0.0320101766004275[/C][/ROW]
[ROW][C]0.93[/C][C]2.14535331214250[/C][C]0.0405818615054719[/C][/ROW]
[ROW][C]0.94[/C][C]2.16762772209819[/C][C]0.0502215643308406[/C][/ROW]
[ROW][C]0.95[/C][C]2.19629035116884[/C][C]0.0594905967702367[/C][/ROW]
[ROW][C]0.96[/C][C]2.23197212143622[/C][C]0.0663986746742171[/C][/ROW]
[ROW][C]0.97[/C][C]2.27543728926439[/C][C]0.0689380690229031[/C][/ROW]
[ROW][C]0.98[/C][C]2.32837670097166[/C][C]0.0697358480033286[/C][/ROW]
[ROW][C]0.99[/C][C]2.38863642652972[/C][C]0.0818813533337189[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19400&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19400&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
0.011.403349490553580.038072787466538
0.021.438436366061680.0653752099171856
0.031.482564297355160.0715298214499108
0.041.525822143721160.0711926997935647
0.051.564419994214770.0690934067805581
0.061.59769484466340.0635512804915902
0.071.625578604107620.055152388103874
0.081.648246412402020.0461622221478848
0.091.666276398265510.0382368727185865
0.11.680532503249180.0319012695958214
0.111.691925337903540.0271288811623628
0.121.701263567257590.0238322014364533
0.131.709208993424580.0219037712014220
0.141.716271312364350.021070443707231
0.151.722807316208810.0208910477991465
0.161.729026451938420.0208977673917732
0.171.735012726959940.0207481097546542
0.181.740762679379970.0202703421716489
0.191.746229058936530.0194520992498881
0.21.751358118471830.0183797195677827
0.211.7561133680990.0171775763461650
0.221.760485250448000.0159615847690846
0.231.764490645066620.0148330417014848
0.241.768167300695460.0138544432111143
0.251.771567150367440.0130793105816561
0.261.774750548846710.0125380204143418
0.271.777781923172890.0122498944505142
0.281.780726516342100.0122310623747525
0.291.783647664983570.0124688588260535
0.31.786604089196080.0129477831189656
0.311.789646826757520.0136343270414560
0.321.792815709615750.0144710147942148
0.331.796135677437830.0153816532910241
0.341.799613673353540.0162716531271368
0.351.803237182181380.017038704985169
0.361.806975445010200.0176005234791191
0.371.810783919662110.0178911612269348
0.381.814611745146600.0179013863527792
0.391.818411068307350.0176692518980681
0.41.822146423643970.0172812516024352
0.411.825802170987040.0168636959225105
0.421.829386365665020.0165457124517922
0.431.832930243328570.0164581117619303
0.441.836483493289910.0166785343281680
0.451.840106386271710.0172415563854281
0.461.843860399133700.0181151627357438
0.471.847799146451560.0192221716660333
0.481.851961212308330.0204596204062694
0.491.856365979549460.0217130552610242
0.51.861012911215720.0228844193578723
0.511.865884077224050.0238945167982994
0.521.870949146848710.0246991992950696
0.531.876171672331910.0252927409086425
0.541.881515336276740.0256992788911102
0.551.886948955774340.0259596571122929
0.561.892449408853280.0261305184300635
0.571.898002194009740.0262498182952677
0.581.903599923114130.0263592507283155
0.591.909239536271290.0264615839800276
0.61.914919292345400.0265533932386357
0.611.920636568417060.0266132272770192
0.621.926387209196770.0266291014464577
0.631.932166685932490.0265965110185425
0.641.937972778089220.0265260457272676
0.651.943809011649980.0264577934860549
0.661.949687784009610.0264375142241045
0.671.955632045874980.0265241171871295
0.681.961674620376320.0267672524279306
0.691.967854702407910.0271949322012798
0.71.974211738272410.0277942215289791
0.711.980777626716860.0285113197821633
0.721.987568836219080.0292510249520533
0.731.994580378179750.0299038199906569
0.742.001783392415510.0303470290698508
0.752.009127276603000.0304929007850405
0.762.016545941196860.0302883552448800
0.772.023966315104560.029737228062239
0.782.031316320452840.0288776856346908
0.792.038529808928360.0277754774499964
0.82.045547620899070.0264763239854655
0.812.052316458536900.0250083642342094
0.822.058789393333480.0233855031359781
0.832.064932112167980.0216336071868503
0.842.070736768668780.0198350464586386
0.852.076241486935790.0181639222760613
0.862.081550734731720.0168658674343165
0.872.086852817936940.0162190332941791
0.882.092436330676710.0164824136974235
0.892.098713672080510.0178886751744192
0.92.106258662787820.0207173657222917
0.912.11585032673470.0253340563649958
0.922.128490946624220.0320101766004275
0.932.145353312142500.0405818615054719
0.942.167627722098190.0502215643308406
0.952.196290351168840.0594905967702367
0.962.231972121436220.0663986746742171
0.972.275437289264390.0689380690229031
0.982.328376700971660.0697358480033286
0.992.388636426529720.0818813533337189


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')