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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 18 Oct 2008 06:45:08 -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/18/t1224334010y7eomez8xcqqsau.htm/, Retrieved Sun, 19 May 2024 13:59:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=16608, Retrieved Sun, 19 May 2024 13:59:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact112
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [opgave 4 oefening...] [2008-10-18 12:45:08] [8318384c9bdcc6ef9a73ee2012b12620] [Current]
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Dataseries X:
1.27
1.23
1.27
1.22
1.29
1.36
1.44
1.62
1.57
1.22
1.14
1.14
1.17
1.16
1.14
1.15
1.16
1.21
1.22
1.22
1.17
0.95
1
1.01
1.01
1
1
1
1.06
1.22
1.24
1.34
1.3
1.05
1
1
1.01
1.02
1.06
1.09
1.09
1.15
1.25
1.37
1.51
1.35
1.32
1.3
1.39
1.4
1.39
1.42
1.44
1.44
1.45
1.39
1.48
1.32
1.29
1.31
1.27
1.38
1.38
1.45
1.5
1.63
1.73
1.84
1.75
1.34
1.36
1.33
1.37
1.39
1.4
1.4
1.43
1.52
1.54
1.85
1.83
1.29
1.2
1.2
1.21
1.21
1.19
1.18
1.17
1.22
1.25
1.3
1.33
1.18
1.18
1.19




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16608&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16608&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16608&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.967655314230150.032214344385261
0.020.985995040907860.0141996415904412
0.030.9957973355569910.00488998093282143
0.040.9997276947398320.00271774518899760
0.051.001806221222620.00429770923754756
0.061.00410981506860.00725411127831284
0.071.007460117379760.0112051907664156
0.081.012212262770590.0160320138107462
0.091.018547826102660.0214907248988254
0.11.026524635867960.0271502821560371
0.111.036063339001930.0324878210294931
0.121.046942596486950.0370204941395861
0.131.058821910418890.0403863981478994
0.141.071284924804200.0423645954502199
0.151.083888752612870.0428575125353328
0.161.096209934695360.0419032338059917
0.171.107884027525560.0396854419038189
0.181.118637102456360.0365276131763269
0.191.128305350583030.0328527924853761
0.21.136838482845200.0290925159463004
0.211.144285907661410.0256153244354464
0.221.150769840295830.0226641448559098
0.231.156453117399960.0203488504457423
0.241.161509624505830.0186649499223457
0.251.166102430572360.0175354227312919
0.261.170370954941450.0168570288548822
0.271.174425640290020.0165160079329441
0.281.178347481013450.0164071280302519
0.291.182190099959330.0164277015920970
0.31.185983086937590.0164866237105996
0.311.189736259715150.0165094161004827
0.321.193444978065010.0164451304928768
0.331.197096594644230.0162746453581462
0.341.200677748901800.0160167649536216
0.351.204181751793060.0157227514829148
0.361.207614977236800.0154771668768554
0.371.211001094817310.0153846411577364
0.381.214382187689830.0155468081141760
0.391.217816270783350.0160511241427761
0.41.221371370639160.0169283623132712
0.411.225117017655990.0181600878659349
0.421.22911457721350.019664836185556
0.431.233408160227620.0213226528211678
0.441.238017809627530.0229883168567883
0.451.242936247121510.0245175773570372
0.461.248129772098580.0257866616659296
0.471.253543095017880.0267068255418826
0.481.259107152029530.027237818763306
0.491.264748447933730.0273857697484145
0.51.270398301612460.0272014221476207
0.511.276000525761210.0267688248513902
0.521.281516490841850.0261870154854454
0.531.286927086680040.0255638963370312
0.541.292231677052860.0249845444911283
0.551.297444630253510.0245169600239549
0.561.302590320933430.0241948631405413
0.571.307697596619120.0240244143174888
0.581.312794594641910.0239832895575112
0.591.317904535724470.0240322888161848
0.61.323042796016940.0241252733920186
0.611.328215266092290.0242107125088447
0.621.333417819466610.0242457069411478
0.631.338636667106370.0241848024830798
0.641.343849449077350.0239946519137605
0.651.349027050527360.023645083139651
0.661.354136250395570.0231233060835612
0.671.359143348901960.0224339737308289
0.681.364018828164080.0216012394393446
0.691.368742862628770.0206742268089903
0.71.373311130514160.0197316381658440
0.711.377739949734320.0188731036671263
0.721.382069402250210.0182155231043484
0.731.386363017748580.0178717761731842
0.741.390702987267670.0179227533569746
0.751.395180921759600.0183931545202823
0.761.399885786285790.0192307953065307
0.771.404892395329610.0203145502255293
0.781.410254952071470.0215008980211521
0.791.416009628723230.0226736987666988
0.81.42218756274980.0237985821087882
0.811.428835314341340.0249588603078576
0.821.436035549717130.0263362210893501
0.831.443919170018750.0281432256726764
0.841.452663536541950.030518624903102
0.851.462479686809560.0334613985434815
0.861.473600653367620.0368638950188087
0.871.486286704071030.0406383411713884
0.881.500856305847430.0448577678295485
0.891.517734666302030.0497900503755431
0.91.537492741569470.0557709624369482
0.911.560838418500350.0629571292956907
0.921.588522514983150.0710711396563682
0.931.621132604735210.079195881458189
0.941.658760721491480.0856287424601586
0.951.700541358259940.0879550637385636
0.961.744108249792070.0833934339157731
0.971.785288464456870.0693693661677335
0.981.818846797724060.0458942263971544
0.991.840712467412120.0209503444703930

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.96765531423015 & 0.032214344385261 \tabularnewline
0.02 & 0.98599504090786 & 0.0141996415904412 \tabularnewline
0.03 & 0.995797335556991 & 0.00488998093282143 \tabularnewline
0.04 & 0.999727694739832 & 0.00271774518899760 \tabularnewline
0.05 & 1.00180622122262 & 0.00429770923754756 \tabularnewline
0.06 & 1.0041098150686 & 0.00725411127831284 \tabularnewline
0.07 & 1.00746011737976 & 0.0112051907664156 \tabularnewline
0.08 & 1.01221226277059 & 0.0160320138107462 \tabularnewline
0.09 & 1.01854782610266 & 0.0214907248988254 \tabularnewline
0.1 & 1.02652463586796 & 0.0271502821560371 \tabularnewline
0.11 & 1.03606333900193 & 0.0324878210294931 \tabularnewline
0.12 & 1.04694259648695 & 0.0370204941395861 \tabularnewline
0.13 & 1.05882191041889 & 0.0403863981478994 \tabularnewline
0.14 & 1.07128492480420 & 0.0423645954502199 \tabularnewline
0.15 & 1.08388875261287 & 0.0428575125353328 \tabularnewline
0.16 & 1.09620993469536 & 0.0419032338059917 \tabularnewline
0.17 & 1.10788402752556 & 0.0396854419038189 \tabularnewline
0.18 & 1.11863710245636 & 0.0365276131763269 \tabularnewline
0.19 & 1.12830535058303 & 0.0328527924853761 \tabularnewline
0.2 & 1.13683848284520 & 0.0290925159463004 \tabularnewline
0.21 & 1.14428590766141 & 0.0256153244354464 \tabularnewline
0.22 & 1.15076984029583 & 0.0226641448559098 \tabularnewline
0.23 & 1.15645311739996 & 0.0203488504457423 \tabularnewline
0.24 & 1.16150962450583 & 0.0186649499223457 \tabularnewline
0.25 & 1.16610243057236 & 0.0175354227312919 \tabularnewline
0.26 & 1.17037095494145 & 0.0168570288548822 \tabularnewline
0.27 & 1.17442564029002 & 0.0165160079329441 \tabularnewline
0.28 & 1.17834748101345 & 0.0164071280302519 \tabularnewline
0.29 & 1.18219009995933 & 0.0164277015920970 \tabularnewline
0.3 & 1.18598308693759 & 0.0164866237105996 \tabularnewline
0.31 & 1.18973625971515 & 0.0165094161004827 \tabularnewline
0.32 & 1.19344497806501 & 0.0164451304928768 \tabularnewline
0.33 & 1.19709659464423 & 0.0162746453581462 \tabularnewline
0.34 & 1.20067774890180 & 0.0160167649536216 \tabularnewline
0.35 & 1.20418175179306 & 0.0157227514829148 \tabularnewline
0.36 & 1.20761497723680 & 0.0154771668768554 \tabularnewline
0.37 & 1.21100109481731 & 0.0153846411577364 \tabularnewline
0.38 & 1.21438218768983 & 0.0155468081141760 \tabularnewline
0.39 & 1.21781627078335 & 0.0160511241427761 \tabularnewline
0.4 & 1.22137137063916 & 0.0169283623132712 \tabularnewline
0.41 & 1.22511701765599 & 0.0181600878659349 \tabularnewline
0.42 & 1.2291145772135 & 0.019664836185556 \tabularnewline
0.43 & 1.23340816022762 & 0.0213226528211678 \tabularnewline
0.44 & 1.23801780962753 & 0.0229883168567883 \tabularnewline
0.45 & 1.24293624712151 & 0.0245175773570372 \tabularnewline
0.46 & 1.24812977209858 & 0.0257866616659296 \tabularnewline
0.47 & 1.25354309501788 & 0.0267068255418826 \tabularnewline
0.48 & 1.25910715202953 & 0.027237818763306 \tabularnewline
0.49 & 1.26474844793373 & 0.0273857697484145 \tabularnewline
0.5 & 1.27039830161246 & 0.0272014221476207 \tabularnewline
0.51 & 1.27600052576121 & 0.0267688248513902 \tabularnewline
0.52 & 1.28151649084185 & 0.0261870154854454 \tabularnewline
0.53 & 1.28692708668004 & 0.0255638963370312 \tabularnewline
0.54 & 1.29223167705286 & 0.0249845444911283 \tabularnewline
0.55 & 1.29744463025351 & 0.0245169600239549 \tabularnewline
0.56 & 1.30259032093343 & 0.0241948631405413 \tabularnewline
0.57 & 1.30769759661912 & 0.0240244143174888 \tabularnewline
0.58 & 1.31279459464191 & 0.0239832895575112 \tabularnewline
0.59 & 1.31790453572447 & 0.0240322888161848 \tabularnewline
0.6 & 1.32304279601694 & 0.0241252733920186 \tabularnewline
0.61 & 1.32821526609229 & 0.0242107125088447 \tabularnewline
0.62 & 1.33341781946661 & 0.0242457069411478 \tabularnewline
0.63 & 1.33863666710637 & 0.0241848024830798 \tabularnewline
0.64 & 1.34384944907735 & 0.0239946519137605 \tabularnewline
0.65 & 1.34902705052736 & 0.023645083139651 \tabularnewline
0.66 & 1.35413625039557 & 0.0231233060835612 \tabularnewline
0.67 & 1.35914334890196 & 0.0224339737308289 \tabularnewline
0.68 & 1.36401882816408 & 0.0216012394393446 \tabularnewline
0.69 & 1.36874286262877 & 0.0206742268089903 \tabularnewline
0.7 & 1.37331113051416 & 0.0197316381658440 \tabularnewline
0.71 & 1.37773994973432 & 0.0188731036671263 \tabularnewline
0.72 & 1.38206940225021 & 0.0182155231043484 \tabularnewline
0.73 & 1.38636301774858 & 0.0178717761731842 \tabularnewline
0.74 & 1.39070298726767 & 0.0179227533569746 \tabularnewline
0.75 & 1.39518092175960 & 0.0183931545202823 \tabularnewline
0.76 & 1.39988578628579 & 0.0192307953065307 \tabularnewline
0.77 & 1.40489239532961 & 0.0203145502255293 \tabularnewline
0.78 & 1.41025495207147 & 0.0215008980211521 \tabularnewline
0.79 & 1.41600962872323 & 0.0226736987666988 \tabularnewline
0.8 & 1.4221875627498 & 0.0237985821087882 \tabularnewline
0.81 & 1.42883531434134 & 0.0249588603078576 \tabularnewline
0.82 & 1.43603554971713 & 0.0263362210893501 \tabularnewline
0.83 & 1.44391917001875 & 0.0281432256726764 \tabularnewline
0.84 & 1.45266353654195 & 0.030518624903102 \tabularnewline
0.85 & 1.46247968680956 & 0.0334613985434815 \tabularnewline
0.86 & 1.47360065336762 & 0.0368638950188087 \tabularnewline
0.87 & 1.48628670407103 & 0.0406383411713884 \tabularnewline
0.88 & 1.50085630584743 & 0.0448577678295485 \tabularnewline
0.89 & 1.51773466630203 & 0.0497900503755431 \tabularnewline
0.9 & 1.53749274156947 & 0.0557709624369482 \tabularnewline
0.91 & 1.56083841850035 & 0.0629571292956907 \tabularnewline
0.92 & 1.58852251498315 & 0.0710711396563682 \tabularnewline
0.93 & 1.62113260473521 & 0.079195881458189 \tabularnewline
0.94 & 1.65876072149148 & 0.0856287424601586 \tabularnewline
0.95 & 1.70054135825994 & 0.0879550637385636 \tabularnewline
0.96 & 1.74410824979207 & 0.0833934339157731 \tabularnewline
0.97 & 1.78528846445687 & 0.0693693661677335 \tabularnewline
0.98 & 1.81884679772406 & 0.0458942263971544 \tabularnewline
0.99 & 1.84071246741212 & 0.0209503444703930 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16608&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]0.96765531423015[/C][C]0.032214344385261[/C][/ROW]
[ROW][C]0.02[/C][C]0.98599504090786[/C][C]0.0141996415904412[/C][/ROW]
[ROW][C]0.03[/C][C]0.995797335556991[/C][C]0.00488998093282143[/C][/ROW]
[ROW][C]0.04[/C][C]0.999727694739832[/C][C]0.00271774518899760[/C][/ROW]
[ROW][C]0.05[/C][C]1.00180622122262[/C][C]0.00429770923754756[/C][/ROW]
[ROW][C]0.06[/C][C]1.0041098150686[/C][C]0.00725411127831284[/C][/ROW]
[ROW][C]0.07[/C][C]1.00746011737976[/C][C]0.0112051907664156[/C][/ROW]
[ROW][C]0.08[/C][C]1.01221226277059[/C][C]0.0160320138107462[/C][/ROW]
[ROW][C]0.09[/C][C]1.01854782610266[/C][C]0.0214907248988254[/C][/ROW]
[ROW][C]0.1[/C][C]1.02652463586796[/C][C]0.0271502821560371[/C][/ROW]
[ROW][C]0.11[/C][C]1.03606333900193[/C][C]0.0324878210294931[/C][/ROW]
[ROW][C]0.12[/C][C]1.04694259648695[/C][C]0.0370204941395861[/C][/ROW]
[ROW][C]0.13[/C][C]1.05882191041889[/C][C]0.0403863981478994[/C][/ROW]
[ROW][C]0.14[/C][C]1.07128492480420[/C][C]0.0423645954502199[/C][/ROW]
[ROW][C]0.15[/C][C]1.08388875261287[/C][C]0.0428575125353328[/C][/ROW]
[ROW][C]0.16[/C][C]1.09620993469536[/C][C]0.0419032338059917[/C][/ROW]
[ROW][C]0.17[/C][C]1.10788402752556[/C][C]0.0396854419038189[/C][/ROW]
[ROW][C]0.18[/C][C]1.11863710245636[/C][C]0.0365276131763269[/C][/ROW]
[ROW][C]0.19[/C][C]1.12830535058303[/C][C]0.0328527924853761[/C][/ROW]
[ROW][C]0.2[/C][C]1.13683848284520[/C][C]0.0290925159463004[/C][/ROW]
[ROW][C]0.21[/C][C]1.14428590766141[/C][C]0.0256153244354464[/C][/ROW]
[ROW][C]0.22[/C][C]1.15076984029583[/C][C]0.0226641448559098[/C][/ROW]
[ROW][C]0.23[/C][C]1.15645311739996[/C][C]0.0203488504457423[/C][/ROW]
[ROW][C]0.24[/C][C]1.16150962450583[/C][C]0.0186649499223457[/C][/ROW]
[ROW][C]0.25[/C][C]1.16610243057236[/C][C]0.0175354227312919[/C][/ROW]
[ROW][C]0.26[/C][C]1.17037095494145[/C][C]0.0168570288548822[/C][/ROW]
[ROW][C]0.27[/C][C]1.17442564029002[/C][C]0.0165160079329441[/C][/ROW]
[ROW][C]0.28[/C][C]1.17834748101345[/C][C]0.0164071280302519[/C][/ROW]
[ROW][C]0.29[/C][C]1.18219009995933[/C][C]0.0164277015920970[/C][/ROW]
[ROW][C]0.3[/C][C]1.18598308693759[/C][C]0.0164866237105996[/C][/ROW]
[ROW][C]0.31[/C][C]1.18973625971515[/C][C]0.0165094161004827[/C][/ROW]
[ROW][C]0.32[/C][C]1.19344497806501[/C][C]0.0164451304928768[/C][/ROW]
[ROW][C]0.33[/C][C]1.19709659464423[/C][C]0.0162746453581462[/C][/ROW]
[ROW][C]0.34[/C][C]1.20067774890180[/C][C]0.0160167649536216[/C][/ROW]
[ROW][C]0.35[/C][C]1.20418175179306[/C][C]0.0157227514829148[/C][/ROW]
[ROW][C]0.36[/C][C]1.20761497723680[/C][C]0.0154771668768554[/C][/ROW]
[ROW][C]0.37[/C][C]1.21100109481731[/C][C]0.0153846411577364[/C][/ROW]
[ROW][C]0.38[/C][C]1.21438218768983[/C][C]0.0155468081141760[/C][/ROW]
[ROW][C]0.39[/C][C]1.21781627078335[/C][C]0.0160511241427761[/C][/ROW]
[ROW][C]0.4[/C][C]1.22137137063916[/C][C]0.0169283623132712[/C][/ROW]
[ROW][C]0.41[/C][C]1.22511701765599[/C][C]0.0181600878659349[/C][/ROW]
[ROW][C]0.42[/C][C]1.2291145772135[/C][C]0.019664836185556[/C][/ROW]
[ROW][C]0.43[/C][C]1.23340816022762[/C][C]0.0213226528211678[/C][/ROW]
[ROW][C]0.44[/C][C]1.23801780962753[/C][C]0.0229883168567883[/C][/ROW]
[ROW][C]0.45[/C][C]1.24293624712151[/C][C]0.0245175773570372[/C][/ROW]
[ROW][C]0.46[/C][C]1.24812977209858[/C][C]0.0257866616659296[/C][/ROW]
[ROW][C]0.47[/C][C]1.25354309501788[/C][C]0.0267068255418826[/C][/ROW]
[ROW][C]0.48[/C][C]1.25910715202953[/C][C]0.027237818763306[/C][/ROW]
[ROW][C]0.49[/C][C]1.26474844793373[/C][C]0.0273857697484145[/C][/ROW]
[ROW][C]0.5[/C][C]1.27039830161246[/C][C]0.0272014221476207[/C][/ROW]
[ROW][C]0.51[/C][C]1.27600052576121[/C][C]0.0267688248513902[/C][/ROW]
[ROW][C]0.52[/C][C]1.28151649084185[/C][C]0.0261870154854454[/C][/ROW]
[ROW][C]0.53[/C][C]1.28692708668004[/C][C]0.0255638963370312[/C][/ROW]
[ROW][C]0.54[/C][C]1.29223167705286[/C][C]0.0249845444911283[/C][/ROW]
[ROW][C]0.55[/C][C]1.29744463025351[/C][C]0.0245169600239549[/C][/ROW]
[ROW][C]0.56[/C][C]1.30259032093343[/C][C]0.0241948631405413[/C][/ROW]
[ROW][C]0.57[/C][C]1.30769759661912[/C][C]0.0240244143174888[/C][/ROW]
[ROW][C]0.58[/C][C]1.31279459464191[/C][C]0.0239832895575112[/C][/ROW]
[ROW][C]0.59[/C][C]1.31790453572447[/C][C]0.0240322888161848[/C][/ROW]
[ROW][C]0.6[/C][C]1.32304279601694[/C][C]0.0241252733920186[/C][/ROW]
[ROW][C]0.61[/C][C]1.32821526609229[/C][C]0.0242107125088447[/C][/ROW]
[ROW][C]0.62[/C][C]1.33341781946661[/C][C]0.0242457069411478[/C][/ROW]
[ROW][C]0.63[/C][C]1.33863666710637[/C][C]0.0241848024830798[/C][/ROW]
[ROW][C]0.64[/C][C]1.34384944907735[/C][C]0.0239946519137605[/C][/ROW]
[ROW][C]0.65[/C][C]1.34902705052736[/C][C]0.023645083139651[/C][/ROW]
[ROW][C]0.66[/C][C]1.35413625039557[/C][C]0.0231233060835612[/C][/ROW]
[ROW][C]0.67[/C][C]1.35914334890196[/C][C]0.0224339737308289[/C][/ROW]
[ROW][C]0.68[/C][C]1.36401882816408[/C][C]0.0216012394393446[/C][/ROW]
[ROW][C]0.69[/C][C]1.36874286262877[/C][C]0.0206742268089903[/C][/ROW]
[ROW][C]0.7[/C][C]1.37331113051416[/C][C]0.0197316381658440[/C][/ROW]
[ROW][C]0.71[/C][C]1.37773994973432[/C][C]0.0188731036671263[/C][/ROW]
[ROW][C]0.72[/C][C]1.38206940225021[/C][C]0.0182155231043484[/C][/ROW]
[ROW][C]0.73[/C][C]1.38636301774858[/C][C]0.0178717761731842[/C][/ROW]
[ROW][C]0.74[/C][C]1.39070298726767[/C][C]0.0179227533569746[/C][/ROW]
[ROW][C]0.75[/C][C]1.39518092175960[/C][C]0.0183931545202823[/C][/ROW]
[ROW][C]0.76[/C][C]1.39988578628579[/C][C]0.0192307953065307[/C][/ROW]
[ROW][C]0.77[/C][C]1.40489239532961[/C][C]0.0203145502255293[/C][/ROW]
[ROW][C]0.78[/C][C]1.41025495207147[/C][C]0.0215008980211521[/C][/ROW]
[ROW][C]0.79[/C][C]1.41600962872323[/C][C]0.0226736987666988[/C][/ROW]
[ROW][C]0.8[/C][C]1.4221875627498[/C][C]0.0237985821087882[/C][/ROW]
[ROW][C]0.81[/C][C]1.42883531434134[/C][C]0.0249588603078576[/C][/ROW]
[ROW][C]0.82[/C][C]1.43603554971713[/C][C]0.0263362210893501[/C][/ROW]
[ROW][C]0.83[/C][C]1.44391917001875[/C][C]0.0281432256726764[/C][/ROW]
[ROW][C]0.84[/C][C]1.45266353654195[/C][C]0.030518624903102[/C][/ROW]
[ROW][C]0.85[/C][C]1.46247968680956[/C][C]0.0334613985434815[/C][/ROW]
[ROW][C]0.86[/C][C]1.47360065336762[/C][C]0.0368638950188087[/C][/ROW]
[ROW][C]0.87[/C][C]1.48628670407103[/C][C]0.0406383411713884[/C][/ROW]
[ROW][C]0.88[/C][C]1.50085630584743[/C][C]0.0448577678295485[/C][/ROW]
[ROW][C]0.89[/C][C]1.51773466630203[/C][C]0.0497900503755431[/C][/ROW]
[ROW][C]0.9[/C][C]1.53749274156947[/C][C]0.0557709624369482[/C][/ROW]
[ROW][C]0.91[/C][C]1.56083841850035[/C][C]0.0629571292956907[/C][/ROW]
[ROW][C]0.92[/C][C]1.58852251498315[/C][C]0.0710711396563682[/C][/ROW]
[ROW][C]0.93[/C][C]1.62113260473521[/C][C]0.079195881458189[/C][/ROW]
[ROW][C]0.94[/C][C]1.65876072149148[/C][C]0.0856287424601586[/C][/ROW]
[ROW][C]0.95[/C][C]1.70054135825994[/C][C]0.0879550637385636[/C][/ROW]
[ROW][C]0.96[/C][C]1.74410824979207[/C][C]0.0833934339157731[/C][/ROW]
[ROW][C]0.97[/C][C]1.78528846445687[/C][C]0.0693693661677335[/C][/ROW]
[ROW][C]0.98[/C][C]1.81884679772406[/C][C]0.0458942263971544[/C][/ROW]
[ROW][C]0.99[/C][C]1.84071246741212[/C][C]0.0209503444703930[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16608&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16608&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
0.010.967655314230150.032214344385261
0.020.985995040907860.0141996415904412
0.030.9957973355569910.00488998093282143
0.040.9997276947398320.00271774518899760
0.051.001806221222620.00429770923754756
0.061.00410981506860.00725411127831284
0.071.007460117379760.0112051907664156
0.081.012212262770590.0160320138107462
0.091.018547826102660.0214907248988254
0.11.026524635867960.0271502821560371
0.111.036063339001930.0324878210294931
0.121.046942596486950.0370204941395861
0.131.058821910418890.0403863981478994
0.141.071284924804200.0423645954502199
0.151.083888752612870.0428575125353328
0.161.096209934695360.0419032338059917
0.171.107884027525560.0396854419038189
0.181.118637102456360.0365276131763269
0.191.128305350583030.0328527924853761
0.21.136838482845200.0290925159463004
0.211.144285907661410.0256153244354464
0.221.150769840295830.0226641448559098
0.231.156453117399960.0203488504457423
0.241.161509624505830.0186649499223457
0.251.166102430572360.0175354227312919
0.261.170370954941450.0168570288548822
0.271.174425640290020.0165160079329441
0.281.178347481013450.0164071280302519
0.291.182190099959330.0164277015920970
0.31.185983086937590.0164866237105996
0.311.189736259715150.0165094161004827
0.321.193444978065010.0164451304928768
0.331.197096594644230.0162746453581462
0.341.200677748901800.0160167649536216
0.351.204181751793060.0157227514829148
0.361.207614977236800.0154771668768554
0.371.211001094817310.0153846411577364
0.381.214382187689830.0155468081141760
0.391.217816270783350.0160511241427761
0.41.221371370639160.0169283623132712
0.411.225117017655990.0181600878659349
0.421.22911457721350.019664836185556
0.431.233408160227620.0213226528211678
0.441.238017809627530.0229883168567883
0.451.242936247121510.0245175773570372
0.461.248129772098580.0257866616659296
0.471.253543095017880.0267068255418826
0.481.259107152029530.027237818763306
0.491.264748447933730.0273857697484145
0.51.270398301612460.0272014221476207
0.511.276000525761210.0267688248513902
0.521.281516490841850.0261870154854454
0.531.286927086680040.0255638963370312
0.541.292231677052860.0249845444911283
0.551.297444630253510.0245169600239549
0.561.302590320933430.0241948631405413
0.571.307697596619120.0240244143174888
0.581.312794594641910.0239832895575112
0.591.317904535724470.0240322888161848
0.61.323042796016940.0241252733920186
0.611.328215266092290.0242107125088447
0.621.333417819466610.0242457069411478
0.631.338636667106370.0241848024830798
0.641.343849449077350.0239946519137605
0.651.349027050527360.023645083139651
0.661.354136250395570.0231233060835612
0.671.359143348901960.0224339737308289
0.681.364018828164080.0216012394393446
0.691.368742862628770.0206742268089903
0.71.373311130514160.0197316381658440
0.711.377739949734320.0188731036671263
0.721.382069402250210.0182155231043484
0.731.386363017748580.0178717761731842
0.741.390702987267670.0179227533569746
0.751.395180921759600.0183931545202823
0.761.399885786285790.0192307953065307
0.771.404892395329610.0203145502255293
0.781.410254952071470.0215008980211521
0.791.416009628723230.0226736987666988
0.81.42218756274980.0237985821087882
0.811.428835314341340.0249588603078576
0.821.436035549717130.0263362210893501
0.831.443919170018750.0281432256726764
0.841.452663536541950.030518624903102
0.851.462479686809560.0334613985434815
0.861.473600653367620.0368638950188087
0.871.486286704071030.0406383411713884
0.881.500856305847430.0448577678295485
0.891.517734666302030.0497900503755431
0.91.537492741569470.0557709624369482
0.911.560838418500350.0629571292956907
0.921.588522514983150.0710711396563682
0.931.621132604735210.079195881458189
0.941.658760721491480.0856287424601586
0.951.700541358259940.0879550637385636
0.961.744108249792070.0833934339157731
0.971.785288464456870.0693693661677335
0.981.818846797724060.0458942263971544
0.991.840712467412120.0209503444703930



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')