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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 04 Oct 2014 12:04:55 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/04/t1412420738a60vsreyt4ww6hl.htm/, Retrieved Mon, 13 May 2024 09:31:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238540, Retrieved Mon, 13 May 2024 09:31:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact164
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2014-10-04 11:04:55] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
1.4718
1.4748
1.5527
1.5751
1.5557
1.5553
1.577
1.4975
1.437
1.3322
1.2732
1.3449
1.3239
1.2785
1.305
1.319
1.365
1.4016
1.4088
1.4268
1.4562
1.4816
1.4914
1.4614
1.4272
1.3686
1.3569
1.3406
1.2565
1.2209
1.277
1.2894
1.3067
1.3898
1.3661
1.322
1.336
1.3649
1.3999
1.4442
1.4349
1.4388
1.4264
1.4343
1.377
1.3706
1.3556
1.3179
1.2905
1.3224
1.3201
1.3162
1.2789
1.2526
1.2288
1.24
1.2856
1.2974
1.2828
1.3119
1.3288
1.3359
1.2964
1.3026
1.2982
1.3189
1.308
1.331
1.3348
1.3635
1.3493
1.3704




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ yule.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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238540&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238540&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238540&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 computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ yule.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.224151571833820.00893690818274394
0.021.229739502845130.0111953785236625
0.031.236439297013680.0132330195698626
0.041.243376549475430.0143710995050664
0.051.250072004402260.0146689671829625
0.061.256269443858430.0143027303060683
0.071.26182983436660.0134033965406779
0.081.266691938755480.0121313052008046
0.091.270860853918470.0107222934506432
0.11.274400369856660.00943721417804791
0.111.277417743517350.00847069820956683
0.121.280040472305650.0078985270303456
0.131.282391912766510.00766644947980089
0.141.284573335161680.00765957922333675
0.151.286656055607590.00775855480026037
0.161.288682656905850.00788241544485061
0.171.290673668964790.00798655970574445
0.181.292635821463280.0080564011944831
0.191.294569157907660.00809348431112435
0.21.29647180169740.00811129348618158
0.211.298342321062330.00811819462530414
0.221.300180264780970.00812078951923974
0.231.301985630952190.00811716926365842
0.241.30375796335150.00809979246189953
0.251.305495589693580.00805987596932031
0.261.307195309485130.00798437818794764
0.271.30885264598910.00786876804925709
0.281.3104626137540.00771154128657174
0.291.312020829940470.0075171409006518
0.31.313524723563930.00730079277005385
0.311.314974579298920.00708378131395621
0.321.316374192787060.00689254065761797
0.331.317731003138940.0067444003171497
0.341.319055685115750.00666529996355905
0.351.320361300493060.00666407404428879
0.361.321662196996010.00674254591169485
0.371.322972882768330.00690021421278797
0.381.324307086403860.00712217035875841
0.391.325677143979230.00740163165585529
0.41.327093754995190.00772578479978177
0.411.328566045678380.00808620456091422
0.421.330101797856770.00847763526083235
0.431.331707665029090.00890262796579054
0.441.333389213208570.00935653085234368
0.451.335150688209550.00983067876589119
0.461.336994506961430.0103185020530555
0.471.338920574160010.0108005056813403
0.481.340925611164730.0112547775539423
0.491.343002729664130.0116551757658151
0.51.345141475302430.011978998517309
0.511.347328504733190.012209080858485
0.521.349548953454410.0123344457007343
0.531.351788420324820.012362227974255
0.541.354035361896190.0123121775836873
0.551.356283580040410.0122225271392169
0.561.358534420428270.0121432028331081
0.571.360798290948490.0121350994718571
0.581.363095163145990.0122630714062088
0.591.365453831929370.0125782628888484
0.61.367909866060820.0131203354619201
0.611.370502363825210.0138996472535589
0.621.373269809323110.0148948583971094
0.631.376245478025240.0160538016661433
0.641.379452941197520.0173039515777926
0.651.382902250204310.0185570648432057
0.661.386587336614730.0197139926031276
0.671.390485047358370.020683089508943
0.681.394556061190830.0213828873762723
0.691.39874772528470.021754107353639
0.71.402998632287870.0217648205384456
0.711.407244549498370.0214137432016848
0.721.411425129317540.0207361844707085
0.731.41549068721040.0197978758674182
0.741.419408243922120.0186979710940371
0.751.423166011168910.0175505118444127
0.761.426775579520210.0164817683641654
0.771.430271273015520.0156155376712321
0.781.433706492383950.0150478037973019
0.791.437147384098960.0148337822005837
0.81.44066481498420.0149700093669729
0.811.444326314242590.0153955199475729
0.821.448190208290730.0160126224423873
0.831.452304383307640.0167196189913323
0.841.456711658404380.0174447629462559
0.851.461462288172140.0181849969356673
0.861.46663134535890.0190324476050195
0.871.472334703491120.0201652542202458
0.881.478732957163410.0218058687206098
0.891.486010348638170.0240866459940585
0.91.494319787402310.0268712596132318
0.911.503699529334520.0296370167778356
0.921.513991394721910.0315198301914839
0.931.524812435184040.0315990975716557
0.941.53562628363140.0293702587138879
0.951.545903167617040.0251857014377883
0.961.555263549799950.0202515304912833
0.971.563456863630330.0157313805320192
0.981.570153396910090.0113484101354649
0.991.574809917053620.00613329817252858

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.22415157183382 & 0.00893690818274394 \tabularnewline
0.02 & 1.22973950284513 & 0.0111953785236625 \tabularnewline
0.03 & 1.23643929701368 & 0.0132330195698626 \tabularnewline
0.04 & 1.24337654947543 & 0.0143710995050664 \tabularnewline
0.05 & 1.25007200440226 & 0.0146689671829625 \tabularnewline
0.06 & 1.25626944385843 & 0.0143027303060683 \tabularnewline
0.07 & 1.2618298343666 & 0.0134033965406779 \tabularnewline
0.08 & 1.26669193875548 & 0.0121313052008046 \tabularnewline
0.09 & 1.27086085391847 & 0.0107222934506432 \tabularnewline
0.1 & 1.27440036985666 & 0.00943721417804791 \tabularnewline
0.11 & 1.27741774351735 & 0.00847069820956683 \tabularnewline
0.12 & 1.28004047230565 & 0.0078985270303456 \tabularnewline
0.13 & 1.28239191276651 & 0.00766644947980089 \tabularnewline
0.14 & 1.28457333516168 & 0.00765957922333675 \tabularnewline
0.15 & 1.28665605560759 & 0.00775855480026037 \tabularnewline
0.16 & 1.28868265690585 & 0.00788241544485061 \tabularnewline
0.17 & 1.29067366896479 & 0.00798655970574445 \tabularnewline
0.18 & 1.29263582146328 & 0.0080564011944831 \tabularnewline
0.19 & 1.29456915790766 & 0.00809348431112435 \tabularnewline
0.2 & 1.2964718016974 & 0.00811129348618158 \tabularnewline
0.21 & 1.29834232106233 & 0.00811819462530414 \tabularnewline
0.22 & 1.30018026478097 & 0.00812078951923974 \tabularnewline
0.23 & 1.30198563095219 & 0.00811716926365842 \tabularnewline
0.24 & 1.3037579633515 & 0.00809979246189953 \tabularnewline
0.25 & 1.30549558969358 & 0.00805987596932031 \tabularnewline
0.26 & 1.30719530948513 & 0.00798437818794764 \tabularnewline
0.27 & 1.3088526459891 & 0.00786876804925709 \tabularnewline
0.28 & 1.310462613754 & 0.00771154128657174 \tabularnewline
0.29 & 1.31202082994047 & 0.0075171409006518 \tabularnewline
0.3 & 1.31352472356393 & 0.00730079277005385 \tabularnewline
0.31 & 1.31497457929892 & 0.00708378131395621 \tabularnewline
0.32 & 1.31637419278706 & 0.00689254065761797 \tabularnewline
0.33 & 1.31773100313894 & 0.0067444003171497 \tabularnewline
0.34 & 1.31905568511575 & 0.00666529996355905 \tabularnewline
0.35 & 1.32036130049306 & 0.00666407404428879 \tabularnewline
0.36 & 1.32166219699601 & 0.00674254591169485 \tabularnewline
0.37 & 1.32297288276833 & 0.00690021421278797 \tabularnewline
0.38 & 1.32430708640386 & 0.00712217035875841 \tabularnewline
0.39 & 1.32567714397923 & 0.00740163165585529 \tabularnewline
0.4 & 1.32709375499519 & 0.00772578479978177 \tabularnewline
0.41 & 1.32856604567838 & 0.00808620456091422 \tabularnewline
0.42 & 1.33010179785677 & 0.00847763526083235 \tabularnewline
0.43 & 1.33170766502909 & 0.00890262796579054 \tabularnewline
0.44 & 1.33338921320857 & 0.00935653085234368 \tabularnewline
0.45 & 1.33515068820955 & 0.00983067876589119 \tabularnewline
0.46 & 1.33699450696143 & 0.0103185020530555 \tabularnewline
0.47 & 1.33892057416001 & 0.0108005056813403 \tabularnewline
0.48 & 1.34092561116473 & 0.0112547775539423 \tabularnewline
0.49 & 1.34300272966413 & 0.0116551757658151 \tabularnewline
0.5 & 1.34514147530243 & 0.011978998517309 \tabularnewline
0.51 & 1.34732850473319 & 0.012209080858485 \tabularnewline
0.52 & 1.34954895345441 & 0.0123344457007343 \tabularnewline
0.53 & 1.35178842032482 & 0.012362227974255 \tabularnewline
0.54 & 1.35403536189619 & 0.0123121775836873 \tabularnewline
0.55 & 1.35628358004041 & 0.0122225271392169 \tabularnewline
0.56 & 1.35853442042827 & 0.0121432028331081 \tabularnewline
0.57 & 1.36079829094849 & 0.0121350994718571 \tabularnewline
0.58 & 1.36309516314599 & 0.0122630714062088 \tabularnewline
0.59 & 1.36545383192937 & 0.0125782628888484 \tabularnewline
0.6 & 1.36790986606082 & 0.0131203354619201 \tabularnewline
0.61 & 1.37050236382521 & 0.0138996472535589 \tabularnewline
0.62 & 1.37326980932311 & 0.0148948583971094 \tabularnewline
0.63 & 1.37624547802524 & 0.0160538016661433 \tabularnewline
0.64 & 1.37945294119752 & 0.0173039515777926 \tabularnewline
0.65 & 1.38290225020431 & 0.0185570648432057 \tabularnewline
0.66 & 1.38658733661473 & 0.0197139926031276 \tabularnewline
0.67 & 1.39048504735837 & 0.020683089508943 \tabularnewline
0.68 & 1.39455606119083 & 0.0213828873762723 \tabularnewline
0.69 & 1.3987477252847 & 0.021754107353639 \tabularnewline
0.7 & 1.40299863228787 & 0.0217648205384456 \tabularnewline
0.71 & 1.40724454949837 & 0.0214137432016848 \tabularnewline
0.72 & 1.41142512931754 & 0.0207361844707085 \tabularnewline
0.73 & 1.4154906872104 & 0.0197978758674182 \tabularnewline
0.74 & 1.41940824392212 & 0.0186979710940371 \tabularnewline
0.75 & 1.42316601116891 & 0.0175505118444127 \tabularnewline
0.76 & 1.42677557952021 & 0.0164817683641654 \tabularnewline
0.77 & 1.43027127301552 & 0.0156155376712321 \tabularnewline
0.78 & 1.43370649238395 & 0.0150478037973019 \tabularnewline
0.79 & 1.43714738409896 & 0.0148337822005837 \tabularnewline
0.8 & 1.4406648149842 & 0.0149700093669729 \tabularnewline
0.81 & 1.44432631424259 & 0.0153955199475729 \tabularnewline
0.82 & 1.44819020829073 & 0.0160126224423873 \tabularnewline
0.83 & 1.45230438330764 & 0.0167196189913323 \tabularnewline
0.84 & 1.45671165840438 & 0.0174447629462559 \tabularnewline
0.85 & 1.46146228817214 & 0.0181849969356673 \tabularnewline
0.86 & 1.4666313453589 & 0.0190324476050195 \tabularnewline
0.87 & 1.47233470349112 & 0.0201652542202458 \tabularnewline
0.88 & 1.47873295716341 & 0.0218058687206098 \tabularnewline
0.89 & 1.48601034863817 & 0.0240866459940585 \tabularnewline
0.9 & 1.49431978740231 & 0.0268712596132318 \tabularnewline
0.91 & 1.50369952933452 & 0.0296370167778356 \tabularnewline
0.92 & 1.51399139472191 & 0.0315198301914839 \tabularnewline
0.93 & 1.52481243518404 & 0.0315990975716557 \tabularnewline
0.94 & 1.5356262836314 & 0.0293702587138879 \tabularnewline
0.95 & 1.54590316761704 & 0.0251857014377883 \tabularnewline
0.96 & 1.55526354979995 & 0.0202515304912833 \tabularnewline
0.97 & 1.56345686363033 & 0.0157313805320192 \tabularnewline
0.98 & 1.57015339691009 & 0.0113484101354649 \tabularnewline
0.99 & 1.57480991705362 & 0.00613329817252858 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238540&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]1.22415157183382[/C][C]0.00893690818274394[/C][/ROW]
[ROW][C]0.02[/C][C]1.22973950284513[/C][C]0.0111953785236625[/C][/ROW]
[ROW][C]0.03[/C][C]1.23643929701368[/C][C]0.0132330195698626[/C][/ROW]
[ROW][C]0.04[/C][C]1.24337654947543[/C][C]0.0143710995050664[/C][/ROW]
[ROW][C]0.05[/C][C]1.25007200440226[/C][C]0.0146689671829625[/C][/ROW]
[ROW][C]0.06[/C][C]1.25626944385843[/C][C]0.0143027303060683[/C][/ROW]
[ROW][C]0.07[/C][C]1.2618298343666[/C][C]0.0134033965406779[/C][/ROW]
[ROW][C]0.08[/C][C]1.26669193875548[/C][C]0.0121313052008046[/C][/ROW]
[ROW][C]0.09[/C][C]1.27086085391847[/C][C]0.0107222934506432[/C][/ROW]
[ROW][C]0.1[/C][C]1.27440036985666[/C][C]0.00943721417804791[/C][/ROW]
[ROW][C]0.11[/C][C]1.27741774351735[/C][C]0.00847069820956683[/C][/ROW]
[ROW][C]0.12[/C][C]1.28004047230565[/C][C]0.0078985270303456[/C][/ROW]
[ROW][C]0.13[/C][C]1.28239191276651[/C][C]0.00766644947980089[/C][/ROW]
[ROW][C]0.14[/C][C]1.28457333516168[/C][C]0.00765957922333675[/C][/ROW]
[ROW][C]0.15[/C][C]1.28665605560759[/C][C]0.00775855480026037[/C][/ROW]
[ROW][C]0.16[/C][C]1.28868265690585[/C][C]0.00788241544485061[/C][/ROW]
[ROW][C]0.17[/C][C]1.29067366896479[/C][C]0.00798655970574445[/C][/ROW]
[ROW][C]0.18[/C][C]1.29263582146328[/C][C]0.0080564011944831[/C][/ROW]
[ROW][C]0.19[/C][C]1.29456915790766[/C][C]0.00809348431112435[/C][/ROW]
[ROW][C]0.2[/C][C]1.2964718016974[/C][C]0.00811129348618158[/C][/ROW]
[ROW][C]0.21[/C][C]1.29834232106233[/C][C]0.00811819462530414[/C][/ROW]
[ROW][C]0.22[/C][C]1.30018026478097[/C][C]0.00812078951923974[/C][/ROW]
[ROW][C]0.23[/C][C]1.30198563095219[/C][C]0.00811716926365842[/C][/ROW]
[ROW][C]0.24[/C][C]1.3037579633515[/C][C]0.00809979246189953[/C][/ROW]
[ROW][C]0.25[/C][C]1.30549558969358[/C][C]0.00805987596932031[/C][/ROW]
[ROW][C]0.26[/C][C]1.30719530948513[/C][C]0.00798437818794764[/C][/ROW]
[ROW][C]0.27[/C][C]1.3088526459891[/C][C]0.00786876804925709[/C][/ROW]
[ROW][C]0.28[/C][C]1.310462613754[/C][C]0.00771154128657174[/C][/ROW]
[ROW][C]0.29[/C][C]1.31202082994047[/C][C]0.0075171409006518[/C][/ROW]
[ROW][C]0.3[/C][C]1.31352472356393[/C][C]0.00730079277005385[/C][/ROW]
[ROW][C]0.31[/C][C]1.31497457929892[/C][C]0.00708378131395621[/C][/ROW]
[ROW][C]0.32[/C][C]1.31637419278706[/C][C]0.00689254065761797[/C][/ROW]
[ROW][C]0.33[/C][C]1.31773100313894[/C][C]0.0067444003171497[/C][/ROW]
[ROW][C]0.34[/C][C]1.31905568511575[/C][C]0.00666529996355905[/C][/ROW]
[ROW][C]0.35[/C][C]1.32036130049306[/C][C]0.00666407404428879[/C][/ROW]
[ROW][C]0.36[/C][C]1.32166219699601[/C][C]0.00674254591169485[/C][/ROW]
[ROW][C]0.37[/C][C]1.32297288276833[/C][C]0.00690021421278797[/C][/ROW]
[ROW][C]0.38[/C][C]1.32430708640386[/C][C]0.00712217035875841[/C][/ROW]
[ROW][C]0.39[/C][C]1.32567714397923[/C][C]0.00740163165585529[/C][/ROW]
[ROW][C]0.4[/C][C]1.32709375499519[/C][C]0.00772578479978177[/C][/ROW]
[ROW][C]0.41[/C][C]1.32856604567838[/C][C]0.00808620456091422[/C][/ROW]
[ROW][C]0.42[/C][C]1.33010179785677[/C][C]0.00847763526083235[/C][/ROW]
[ROW][C]0.43[/C][C]1.33170766502909[/C][C]0.00890262796579054[/C][/ROW]
[ROW][C]0.44[/C][C]1.33338921320857[/C][C]0.00935653085234368[/C][/ROW]
[ROW][C]0.45[/C][C]1.33515068820955[/C][C]0.00983067876589119[/C][/ROW]
[ROW][C]0.46[/C][C]1.33699450696143[/C][C]0.0103185020530555[/C][/ROW]
[ROW][C]0.47[/C][C]1.33892057416001[/C][C]0.0108005056813403[/C][/ROW]
[ROW][C]0.48[/C][C]1.34092561116473[/C][C]0.0112547775539423[/C][/ROW]
[ROW][C]0.49[/C][C]1.34300272966413[/C][C]0.0116551757658151[/C][/ROW]
[ROW][C]0.5[/C][C]1.34514147530243[/C][C]0.011978998517309[/C][/ROW]
[ROW][C]0.51[/C][C]1.34732850473319[/C][C]0.012209080858485[/C][/ROW]
[ROW][C]0.52[/C][C]1.34954895345441[/C][C]0.0123344457007343[/C][/ROW]
[ROW][C]0.53[/C][C]1.35178842032482[/C][C]0.012362227974255[/C][/ROW]
[ROW][C]0.54[/C][C]1.35403536189619[/C][C]0.0123121775836873[/C][/ROW]
[ROW][C]0.55[/C][C]1.35628358004041[/C][C]0.0122225271392169[/C][/ROW]
[ROW][C]0.56[/C][C]1.35853442042827[/C][C]0.0121432028331081[/C][/ROW]
[ROW][C]0.57[/C][C]1.36079829094849[/C][C]0.0121350994718571[/C][/ROW]
[ROW][C]0.58[/C][C]1.36309516314599[/C][C]0.0122630714062088[/C][/ROW]
[ROW][C]0.59[/C][C]1.36545383192937[/C][C]0.0125782628888484[/C][/ROW]
[ROW][C]0.6[/C][C]1.36790986606082[/C][C]0.0131203354619201[/C][/ROW]
[ROW][C]0.61[/C][C]1.37050236382521[/C][C]0.0138996472535589[/C][/ROW]
[ROW][C]0.62[/C][C]1.37326980932311[/C][C]0.0148948583971094[/C][/ROW]
[ROW][C]0.63[/C][C]1.37624547802524[/C][C]0.0160538016661433[/C][/ROW]
[ROW][C]0.64[/C][C]1.37945294119752[/C][C]0.0173039515777926[/C][/ROW]
[ROW][C]0.65[/C][C]1.38290225020431[/C][C]0.0185570648432057[/C][/ROW]
[ROW][C]0.66[/C][C]1.38658733661473[/C][C]0.0197139926031276[/C][/ROW]
[ROW][C]0.67[/C][C]1.39048504735837[/C][C]0.020683089508943[/C][/ROW]
[ROW][C]0.68[/C][C]1.39455606119083[/C][C]0.0213828873762723[/C][/ROW]
[ROW][C]0.69[/C][C]1.3987477252847[/C][C]0.021754107353639[/C][/ROW]
[ROW][C]0.7[/C][C]1.40299863228787[/C][C]0.0217648205384456[/C][/ROW]
[ROW][C]0.71[/C][C]1.40724454949837[/C][C]0.0214137432016848[/C][/ROW]
[ROW][C]0.72[/C][C]1.41142512931754[/C][C]0.0207361844707085[/C][/ROW]
[ROW][C]0.73[/C][C]1.4154906872104[/C][C]0.0197978758674182[/C][/ROW]
[ROW][C]0.74[/C][C]1.41940824392212[/C][C]0.0186979710940371[/C][/ROW]
[ROW][C]0.75[/C][C]1.42316601116891[/C][C]0.0175505118444127[/C][/ROW]
[ROW][C]0.76[/C][C]1.42677557952021[/C][C]0.0164817683641654[/C][/ROW]
[ROW][C]0.77[/C][C]1.43027127301552[/C][C]0.0156155376712321[/C][/ROW]
[ROW][C]0.78[/C][C]1.43370649238395[/C][C]0.0150478037973019[/C][/ROW]
[ROW][C]0.79[/C][C]1.43714738409896[/C][C]0.0148337822005837[/C][/ROW]
[ROW][C]0.8[/C][C]1.4406648149842[/C][C]0.0149700093669729[/C][/ROW]
[ROW][C]0.81[/C][C]1.44432631424259[/C][C]0.0153955199475729[/C][/ROW]
[ROW][C]0.82[/C][C]1.44819020829073[/C][C]0.0160126224423873[/C][/ROW]
[ROW][C]0.83[/C][C]1.45230438330764[/C][C]0.0167196189913323[/C][/ROW]
[ROW][C]0.84[/C][C]1.45671165840438[/C][C]0.0174447629462559[/C][/ROW]
[ROW][C]0.85[/C][C]1.46146228817214[/C][C]0.0181849969356673[/C][/ROW]
[ROW][C]0.86[/C][C]1.4666313453589[/C][C]0.0190324476050195[/C][/ROW]
[ROW][C]0.87[/C][C]1.47233470349112[/C][C]0.0201652542202458[/C][/ROW]
[ROW][C]0.88[/C][C]1.47873295716341[/C][C]0.0218058687206098[/C][/ROW]
[ROW][C]0.89[/C][C]1.48601034863817[/C][C]0.0240866459940585[/C][/ROW]
[ROW][C]0.9[/C][C]1.49431978740231[/C][C]0.0268712596132318[/C][/ROW]
[ROW][C]0.91[/C][C]1.50369952933452[/C][C]0.0296370167778356[/C][/ROW]
[ROW][C]0.92[/C][C]1.51399139472191[/C][C]0.0315198301914839[/C][/ROW]
[ROW][C]0.93[/C][C]1.52481243518404[/C][C]0.0315990975716557[/C][/ROW]
[ROW][C]0.94[/C][C]1.5356262836314[/C][C]0.0293702587138879[/C][/ROW]
[ROW][C]0.95[/C][C]1.54590316761704[/C][C]0.0251857014377883[/C][/ROW]
[ROW][C]0.96[/C][C]1.55526354979995[/C][C]0.0202515304912833[/C][/ROW]
[ROW][C]0.97[/C][C]1.56345686363033[/C][C]0.0157313805320192[/C][/ROW]
[ROW][C]0.98[/C][C]1.57015339691009[/C][C]0.0113484101354649[/C][/ROW]
[ROW][C]0.99[/C][C]1.57480991705362[/C][C]0.00613329817252858[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238540&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238540&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
0.011.224151571833820.00893690818274394
0.021.229739502845130.0111953785236625
0.031.236439297013680.0132330195698626
0.041.243376549475430.0143710995050664
0.051.250072004402260.0146689671829625
0.061.256269443858430.0143027303060683
0.071.26182983436660.0134033965406779
0.081.266691938755480.0121313052008046
0.091.270860853918470.0107222934506432
0.11.274400369856660.00943721417804791
0.111.277417743517350.00847069820956683
0.121.280040472305650.0078985270303456
0.131.282391912766510.00766644947980089
0.141.284573335161680.00765957922333675
0.151.286656055607590.00775855480026037
0.161.288682656905850.00788241544485061
0.171.290673668964790.00798655970574445
0.181.292635821463280.0080564011944831
0.191.294569157907660.00809348431112435
0.21.29647180169740.00811129348618158
0.211.298342321062330.00811819462530414
0.221.300180264780970.00812078951923974
0.231.301985630952190.00811716926365842
0.241.30375796335150.00809979246189953
0.251.305495589693580.00805987596932031
0.261.307195309485130.00798437818794764
0.271.30885264598910.00786876804925709
0.281.3104626137540.00771154128657174
0.291.312020829940470.0075171409006518
0.31.313524723563930.00730079277005385
0.311.314974579298920.00708378131395621
0.321.316374192787060.00689254065761797
0.331.317731003138940.0067444003171497
0.341.319055685115750.00666529996355905
0.351.320361300493060.00666407404428879
0.361.321662196996010.00674254591169485
0.371.322972882768330.00690021421278797
0.381.324307086403860.00712217035875841
0.391.325677143979230.00740163165585529
0.41.327093754995190.00772578479978177
0.411.328566045678380.00808620456091422
0.421.330101797856770.00847763526083235
0.431.331707665029090.00890262796579054
0.441.333389213208570.00935653085234368
0.451.335150688209550.00983067876589119
0.461.336994506961430.0103185020530555
0.471.338920574160010.0108005056813403
0.481.340925611164730.0112547775539423
0.491.343002729664130.0116551757658151
0.51.345141475302430.011978998517309
0.511.347328504733190.012209080858485
0.521.349548953454410.0123344457007343
0.531.351788420324820.012362227974255
0.541.354035361896190.0123121775836873
0.551.356283580040410.0122225271392169
0.561.358534420428270.0121432028331081
0.571.360798290948490.0121350994718571
0.581.363095163145990.0122630714062088
0.591.365453831929370.0125782628888484
0.61.367909866060820.0131203354619201
0.611.370502363825210.0138996472535589
0.621.373269809323110.0148948583971094
0.631.376245478025240.0160538016661433
0.641.379452941197520.0173039515777926
0.651.382902250204310.0185570648432057
0.661.386587336614730.0197139926031276
0.671.390485047358370.020683089508943
0.681.394556061190830.0213828873762723
0.691.39874772528470.021754107353639
0.71.402998632287870.0217648205384456
0.711.407244549498370.0214137432016848
0.721.411425129317540.0207361844707085
0.731.41549068721040.0197978758674182
0.741.419408243922120.0186979710940371
0.751.423166011168910.0175505118444127
0.761.426775579520210.0164817683641654
0.771.430271273015520.0156155376712321
0.781.433706492383950.0150478037973019
0.791.437147384098960.0148337822005837
0.81.44066481498420.0149700093669729
0.811.444326314242590.0153955199475729
0.821.448190208290730.0160126224423873
0.831.452304383307640.0167196189913323
0.841.456711658404380.0174447629462559
0.851.461462288172140.0181849969356673
0.861.46663134535890.0190324476050195
0.871.472334703491120.0201652542202458
0.881.478732957163410.0218058687206098
0.891.486010348638170.0240866459940585
0.91.494319787402310.0268712596132318
0.911.503699529334520.0296370167778356
0.921.513991394721910.0315198301914839
0.931.524812435184040.0315990975716557
0.941.53562628363140.0293702587138879
0.951.545903167617040.0251857014377883
0.961.555263549799950.0202515304912833
0.971.563456863630330.0157313805320192
0.981.570153396910090.0113484101354649
0.991.574809917053620.00613329817252858



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')