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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 27 Apr 2015 18:40:27 +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/2015/Apr/27/t1430156477a009wun8xdeac0c.htm/, Retrieved Thu, 09 May 2024 15:28:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=278966, Retrieved Thu, 09 May 2024 15:28:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact145
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2015-04-27 17:40:27] [70e23d918d09c907c02097a361cd6415] [Current]
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Dataseries X:
-23.500
5.90
8.40
7.80
4.80
3.50
8.70
6.80
6.00
3.60
8.70
8.90
8.10
7.00
7.90
8.00
7.50
6.30
7.60
8.40
6.80
8.80
8.70
8.70
7.40
2.80
4.80
-21.10
8.50
9.40
1.80
4.80
5.80
3.30
-9.00
-6.00
-0.90
-17.30
-9.20
-8.10
-20.90
-14.60
-13.90
-20.80
-16.10
-5.00
-7.20
-9.70
-1.40
0.20
2.60
-4.80
-6.20
-2.00
-0.80
-3.10
0.60
0.20
0.30
-0.10
4.30
-3.20
-1.30
1.50
2.50
-2.20
1.70
5.70
2.70
-4.80
-3.10
-0.50
-3.40
-4.70
-5.60
-1.70
-1.80
-5.40
-4.80
-2.80
-4.90
-6.80
-7.60
-6.60
-5.60
-1.40
0.10
-3.70
-5.60
-3.10
-3.80
-5.10
-4.10
-0.30
-0.30
-2.40




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=278966&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=278966&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=278966&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 time2 seconds
R Server'George Udny Yule' @ yule.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-22.55737520293711.72736722081386
0.02-21.32325640079091.46122247948005
0.03-20.12052550437662.01376535356396
0.04-18.83274820326932.71547224584833
0.05-17.39600405245043.19550896002055
0.06-15.87594965838193.42773874322706
0.07-14.36945864084493.47390478116619
0.08-12.95077300186793.36343529334373
0.09-11.66769217895013.11081559162447
0.1-10.54774375614792.75573134350029
0.11-9.599940641781572.36186912488797
0.12-8.815942917763161.99004785813988
0.13-8.174739799217411.67640860605969
0.14-7.649803894757561.4290833956185
0.15-7.215478367977731.23828019598141
0.16-6.850577960183191.08882701007225
0.17-6.539210233661970.967902682596964
0.18-6.269925830985430.867366844944261
0.19-6.034342029428280.783114532537481
0.2-5.825925197119660.713685458480149
0.21-5.639163742792290.658925107463643
0.22-5.469104145871890.619159028990205
0.23-5.311140480319770.594691147429297
0.24-5.160961200292720.585548631872407
0.25-5.014597039789530.591144898816882
0.26-4.868541684145960.609931162732057
0.27-4.719919593681180.639047633844196
0.28-4.566659743701570.674465175711897
0.29-4.407617836150730.711506608664206
0.3-4.242590357434040.745786326156323
0.31-4.072189096600190.77396393116662
0.32-3.897587538884490.794392285852049
0.33-3.720193749062490.807235377791108
0.34-3.541329657283940.814167915885031
0.35-3.361993683281710.817683360809411
0.36-3.182754346496580.820253202171074
0.37-3.003779439597180.82361981901201
0.38-2.824965311970810.828434369864677
0.39-2.646107603858450.83431791906813
0.4-2.467054073342550.840236171995636
0.41-2.287798490582790.845023552220727
0.42-2.108502037981320.847801628839553
0.43-1.929453750169780.848195297311624
0.44-1.750995816201060.846318508988921
0.45-1.573440398940350.842681099211247
0.46-1.396995189886740.838020736894059
0.47-1.221702008717540.833209512182261
0.48-1.047383479683140.829294851454676
0.49-0.8735916007210530.827577027879378
0.5-0.6995590273531840.829698614452301
0.51-0.5241652292308160.837588096291412
0.52-0.3459391556181540.853227268206102
0.53-0.1631217555039580.878186615739051
0.540.02619754264148930.913075132151645
0.550.2238754162466050.957086460662538
0.560.4314690000721441.00785528914716
0.570.6499988286478741.06171079431075
0.580.8797776138670081.11429816622053
0.591.12035366027081.1613914741083
0.61.370592592738911.19969899078579
0.611.62888540835541.22748079149769
0.621.893435273345911.2447851297353
0.632.162551650110791.25325394505766
0.642.434876876763361.25553226447982
0.652.709489433232571.25442606480103
0.662.985864421495671.25203366045604
0.673.263713888296031.24917805679234
0.683.542764067822031.2452537154199
0.693.822542590707811.23856607180919
0.74.102241691452481.22697886275579
0.714.38069655072351.20863437873859
0.724.6564803641711.1825312620884
0.734.928081489591581.14881233708412
0.745.194103905117421.10867099684169
0.755.453426926960331.06402821200652
0.765.705274869167741.01693518535506
0.775.949177735085760.969023179289217
0.786.184841306425750.921058511171314
0.796.411977815466580.87285030772644
0.86.630165668185310.823518449060563
0.816.838800878664840.772055146678479
0.827.037172915324770.717982715225548
0.837.224650541976080.661825685595001
0.847.400913442127480.605194639895967
0.857.566131857942340.550441777997046
0.867.720996616687570.499909583731606
0.877.866543187093380.4549885927779
0.888.003785281557820.415359036911709
0.898.133248982654450.378849367370552
0.98.254552734487340.342128035190871
0.918.366214980972760.30185787574314
0.928.465913783570880.256021349376262
0.938.551447988590610.205333572293155
0.948.622537126725560.154709310106407
0.958.683329861646160.114198703041161
0.968.74560437812160.0986940864972046
0.978.833218582625460.123084324571731
0.988.982452854465580.204117269068029
0.999.206285309275130.353572984055554

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -22.5573752029371 & 1.72736722081386 \tabularnewline
0.02 & -21.3232564007909 & 1.46122247948005 \tabularnewline
0.03 & -20.1205255043766 & 2.01376535356396 \tabularnewline
0.04 & -18.8327482032693 & 2.71547224584833 \tabularnewline
0.05 & -17.3960040524504 & 3.19550896002055 \tabularnewline
0.06 & -15.8759496583819 & 3.42773874322706 \tabularnewline
0.07 & -14.3694586408449 & 3.47390478116619 \tabularnewline
0.08 & -12.9507730018679 & 3.36343529334373 \tabularnewline
0.09 & -11.6676921789501 & 3.11081559162447 \tabularnewline
0.1 & -10.5477437561479 & 2.75573134350029 \tabularnewline
0.11 & -9.59994064178157 & 2.36186912488797 \tabularnewline
0.12 & -8.81594291776316 & 1.99004785813988 \tabularnewline
0.13 & -8.17473979921741 & 1.67640860605969 \tabularnewline
0.14 & -7.64980389475756 & 1.4290833956185 \tabularnewline
0.15 & -7.21547836797773 & 1.23828019598141 \tabularnewline
0.16 & -6.85057796018319 & 1.08882701007225 \tabularnewline
0.17 & -6.53921023366197 & 0.967902682596964 \tabularnewline
0.18 & -6.26992583098543 & 0.867366844944261 \tabularnewline
0.19 & -6.03434202942828 & 0.783114532537481 \tabularnewline
0.2 & -5.82592519711966 & 0.713685458480149 \tabularnewline
0.21 & -5.63916374279229 & 0.658925107463643 \tabularnewline
0.22 & -5.46910414587189 & 0.619159028990205 \tabularnewline
0.23 & -5.31114048031977 & 0.594691147429297 \tabularnewline
0.24 & -5.16096120029272 & 0.585548631872407 \tabularnewline
0.25 & -5.01459703978953 & 0.591144898816882 \tabularnewline
0.26 & -4.86854168414596 & 0.609931162732057 \tabularnewline
0.27 & -4.71991959368118 & 0.639047633844196 \tabularnewline
0.28 & -4.56665974370157 & 0.674465175711897 \tabularnewline
0.29 & -4.40761783615073 & 0.711506608664206 \tabularnewline
0.3 & -4.24259035743404 & 0.745786326156323 \tabularnewline
0.31 & -4.07218909660019 & 0.77396393116662 \tabularnewline
0.32 & -3.89758753888449 & 0.794392285852049 \tabularnewline
0.33 & -3.72019374906249 & 0.807235377791108 \tabularnewline
0.34 & -3.54132965728394 & 0.814167915885031 \tabularnewline
0.35 & -3.36199368328171 & 0.817683360809411 \tabularnewline
0.36 & -3.18275434649658 & 0.820253202171074 \tabularnewline
0.37 & -3.00377943959718 & 0.82361981901201 \tabularnewline
0.38 & -2.82496531197081 & 0.828434369864677 \tabularnewline
0.39 & -2.64610760385845 & 0.83431791906813 \tabularnewline
0.4 & -2.46705407334255 & 0.840236171995636 \tabularnewline
0.41 & -2.28779849058279 & 0.845023552220727 \tabularnewline
0.42 & -2.10850203798132 & 0.847801628839553 \tabularnewline
0.43 & -1.92945375016978 & 0.848195297311624 \tabularnewline
0.44 & -1.75099581620106 & 0.846318508988921 \tabularnewline
0.45 & -1.57344039894035 & 0.842681099211247 \tabularnewline
0.46 & -1.39699518988674 & 0.838020736894059 \tabularnewline
0.47 & -1.22170200871754 & 0.833209512182261 \tabularnewline
0.48 & -1.04738347968314 & 0.829294851454676 \tabularnewline
0.49 & -0.873591600721053 & 0.827577027879378 \tabularnewline
0.5 & -0.699559027353184 & 0.829698614452301 \tabularnewline
0.51 & -0.524165229230816 & 0.837588096291412 \tabularnewline
0.52 & -0.345939155618154 & 0.853227268206102 \tabularnewline
0.53 & -0.163121755503958 & 0.878186615739051 \tabularnewline
0.54 & 0.0261975426414893 & 0.913075132151645 \tabularnewline
0.55 & 0.223875416246605 & 0.957086460662538 \tabularnewline
0.56 & 0.431469000072144 & 1.00785528914716 \tabularnewline
0.57 & 0.649998828647874 & 1.06171079431075 \tabularnewline
0.58 & 0.879777613867008 & 1.11429816622053 \tabularnewline
0.59 & 1.1203536602708 & 1.1613914741083 \tabularnewline
0.6 & 1.37059259273891 & 1.19969899078579 \tabularnewline
0.61 & 1.6288854083554 & 1.22748079149769 \tabularnewline
0.62 & 1.89343527334591 & 1.2447851297353 \tabularnewline
0.63 & 2.16255165011079 & 1.25325394505766 \tabularnewline
0.64 & 2.43487687676336 & 1.25553226447982 \tabularnewline
0.65 & 2.70948943323257 & 1.25442606480103 \tabularnewline
0.66 & 2.98586442149567 & 1.25203366045604 \tabularnewline
0.67 & 3.26371388829603 & 1.24917805679234 \tabularnewline
0.68 & 3.54276406782203 & 1.2452537154199 \tabularnewline
0.69 & 3.82254259070781 & 1.23856607180919 \tabularnewline
0.7 & 4.10224169145248 & 1.22697886275579 \tabularnewline
0.71 & 4.3806965507235 & 1.20863437873859 \tabularnewline
0.72 & 4.656480364171 & 1.1825312620884 \tabularnewline
0.73 & 4.92808148959158 & 1.14881233708412 \tabularnewline
0.74 & 5.19410390511742 & 1.10867099684169 \tabularnewline
0.75 & 5.45342692696033 & 1.06402821200652 \tabularnewline
0.76 & 5.70527486916774 & 1.01693518535506 \tabularnewline
0.77 & 5.94917773508576 & 0.969023179289217 \tabularnewline
0.78 & 6.18484130642575 & 0.921058511171314 \tabularnewline
0.79 & 6.41197781546658 & 0.87285030772644 \tabularnewline
0.8 & 6.63016566818531 & 0.823518449060563 \tabularnewline
0.81 & 6.83880087866484 & 0.772055146678479 \tabularnewline
0.82 & 7.03717291532477 & 0.717982715225548 \tabularnewline
0.83 & 7.22465054197608 & 0.661825685595001 \tabularnewline
0.84 & 7.40091344212748 & 0.605194639895967 \tabularnewline
0.85 & 7.56613185794234 & 0.550441777997046 \tabularnewline
0.86 & 7.72099661668757 & 0.499909583731606 \tabularnewline
0.87 & 7.86654318709338 & 0.4549885927779 \tabularnewline
0.88 & 8.00378528155782 & 0.415359036911709 \tabularnewline
0.89 & 8.13324898265445 & 0.378849367370552 \tabularnewline
0.9 & 8.25455273448734 & 0.342128035190871 \tabularnewline
0.91 & 8.36621498097276 & 0.30185787574314 \tabularnewline
0.92 & 8.46591378357088 & 0.256021349376262 \tabularnewline
0.93 & 8.55144798859061 & 0.205333572293155 \tabularnewline
0.94 & 8.62253712672556 & 0.154709310106407 \tabularnewline
0.95 & 8.68332986164616 & 0.114198703041161 \tabularnewline
0.96 & 8.7456043781216 & 0.0986940864972046 \tabularnewline
0.97 & 8.83321858262546 & 0.123084324571731 \tabularnewline
0.98 & 8.98245285446558 & 0.204117269068029 \tabularnewline
0.99 & 9.20628530927513 & 0.353572984055554 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=278966&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]-22.5573752029371[/C][C]1.72736722081386[/C][/ROW]
[ROW][C]0.02[/C][C]-21.3232564007909[/C][C]1.46122247948005[/C][/ROW]
[ROW][C]0.03[/C][C]-20.1205255043766[/C][C]2.01376535356396[/C][/ROW]
[ROW][C]0.04[/C][C]-18.8327482032693[/C][C]2.71547224584833[/C][/ROW]
[ROW][C]0.05[/C][C]-17.3960040524504[/C][C]3.19550896002055[/C][/ROW]
[ROW][C]0.06[/C][C]-15.8759496583819[/C][C]3.42773874322706[/C][/ROW]
[ROW][C]0.07[/C][C]-14.3694586408449[/C][C]3.47390478116619[/C][/ROW]
[ROW][C]0.08[/C][C]-12.9507730018679[/C][C]3.36343529334373[/C][/ROW]
[ROW][C]0.09[/C][C]-11.6676921789501[/C][C]3.11081559162447[/C][/ROW]
[ROW][C]0.1[/C][C]-10.5477437561479[/C][C]2.75573134350029[/C][/ROW]
[ROW][C]0.11[/C][C]-9.59994064178157[/C][C]2.36186912488797[/C][/ROW]
[ROW][C]0.12[/C][C]-8.81594291776316[/C][C]1.99004785813988[/C][/ROW]
[ROW][C]0.13[/C][C]-8.17473979921741[/C][C]1.67640860605969[/C][/ROW]
[ROW][C]0.14[/C][C]-7.64980389475756[/C][C]1.4290833956185[/C][/ROW]
[ROW][C]0.15[/C][C]-7.21547836797773[/C][C]1.23828019598141[/C][/ROW]
[ROW][C]0.16[/C][C]-6.85057796018319[/C][C]1.08882701007225[/C][/ROW]
[ROW][C]0.17[/C][C]-6.53921023366197[/C][C]0.967902682596964[/C][/ROW]
[ROW][C]0.18[/C][C]-6.26992583098543[/C][C]0.867366844944261[/C][/ROW]
[ROW][C]0.19[/C][C]-6.03434202942828[/C][C]0.783114532537481[/C][/ROW]
[ROW][C]0.2[/C][C]-5.82592519711966[/C][C]0.713685458480149[/C][/ROW]
[ROW][C]0.21[/C][C]-5.63916374279229[/C][C]0.658925107463643[/C][/ROW]
[ROW][C]0.22[/C][C]-5.46910414587189[/C][C]0.619159028990205[/C][/ROW]
[ROW][C]0.23[/C][C]-5.31114048031977[/C][C]0.594691147429297[/C][/ROW]
[ROW][C]0.24[/C][C]-5.16096120029272[/C][C]0.585548631872407[/C][/ROW]
[ROW][C]0.25[/C][C]-5.01459703978953[/C][C]0.591144898816882[/C][/ROW]
[ROW][C]0.26[/C][C]-4.86854168414596[/C][C]0.609931162732057[/C][/ROW]
[ROW][C]0.27[/C][C]-4.71991959368118[/C][C]0.639047633844196[/C][/ROW]
[ROW][C]0.28[/C][C]-4.56665974370157[/C][C]0.674465175711897[/C][/ROW]
[ROW][C]0.29[/C][C]-4.40761783615073[/C][C]0.711506608664206[/C][/ROW]
[ROW][C]0.3[/C][C]-4.24259035743404[/C][C]0.745786326156323[/C][/ROW]
[ROW][C]0.31[/C][C]-4.07218909660019[/C][C]0.77396393116662[/C][/ROW]
[ROW][C]0.32[/C][C]-3.89758753888449[/C][C]0.794392285852049[/C][/ROW]
[ROW][C]0.33[/C][C]-3.72019374906249[/C][C]0.807235377791108[/C][/ROW]
[ROW][C]0.34[/C][C]-3.54132965728394[/C][C]0.814167915885031[/C][/ROW]
[ROW][C]0.35[/C][C]-3.36199368328171[/C][C]0.817683360809411[/C][/ROW]
[ROW][C]0.36[/C][C]-3.18275434649658[/C][C]0.820253202171074[/C][/ROW]
[ROW][C]0.37[/C][C]-3.00377943959718[/C][C]0.82361981901201[/C][/ROW]
[ROW][C]0.38[/C][C]-2.82496531197081[/C][C]0.828434369864677[/C][/ROW]
[ROW][C]0.39[/C][C]-2.64610760385845[/C][C]0.83431791906813[/C][/ROW]
[ROW][C]0.4[/C][C]-2.46705407334255[/C][C]0.840236171995636[/C][/ROW]
[ROW][C]0.41[/C][C]-2.28779849058279[/C][C]0.845023552220727[/C][/ROW]
[ROW][C]0.42[/C][C]-2.10850203798132[/C][C]0.847801628839553[/C][/ROW]
[ROW][C]0.43[/C][C]-1.92945375016978[/C][C]0.848195297311624[/C][/ROW]
[ROW][C]0.44[/C][C]-1.75099581620106[/C][C]0.846318508988921[/C][/ROW]
[ROW][C]0.45[/C][C]-1.57344039894035[/C][C]0.842681099211247[/C][/ROW]
[ROW][C]0.46[/C][C]-1.39699518988674[/C][C]0.838020736894059[/C][/ROW]
[ROW][C]0.47[/C][C]-1.22170200871754[/C][C]0.833209512182261[/C][/ROW]
[ROW][C]0.48[/C][C]-1.04738347968314[/C][C]0.829294851454676[/C][/ROW]
[ROW][C]0.49[/C][C]-0.873591600721053[/C][C]0.827577027879378[/C][/ROW]
[ROW][C]0.5[/C][C]-0.699559027353184[/C][C]0.829698614452301[/C][/ROW]
[ROW][C]0.51[/C][C]-0.524165229230816[/C][C]0.837588096291412[/C][/ROW]
[ROW][C]0.52[/C][C]-0.345939155618154[/C][C]0.853227268206102[/C][/ROW]
[ROW][C]0.53[/C][C]-0.163121755503958[/C][C]0.878186615739051[/C][/ROW]
[ROW][C]0.54[/C][C]0.0261975426414893[/C][C]0.913075132151645[/C][/ROW]
[ROW][C]0.55[/C][C]0.223875416246605[/C][C]0.957086460662538[/C][/ROW]
[ROW][C]0.56[/C][C]0.431469000072144[/C][C]1.00785528914716[/C][/ROW]
[ROW][C]0.57[/C][C]0.649998828647874[/C][C]1.06171079431075[/C][/ROW]
[ROW][C]0.58[/C][C]0.879777613867008[/C][C]1.11429816622053[/C][/ROW]
[ROW][C]0.59[/C][C]1.1203536602708[/C][C]1.1613914741083[/C][/ROW]
[ROW][C]0.6[/C][C]1.37059259273891[/C][C]1.19969899078579[/C][/ROW]
[ROW][C]0.61[/C][C]1.6288854083554[/C][C]1.22748079149769[/C][/ROW]
[ROW][C]0.62[/C][C]1.89343527334591[/C][C]1.2447851297353[/C][/ROW]
[ROW][C]0.63[/C][C]2.16255165011079[/C][C]1.25325394505766[/C][/ROW]
[ROW][C]0.64[/C][C]2.43487687676336[/C][C]1.25553226447982[/C][/ROW]
[ROW][C]0.65[/C][C]2.70948943323257[/C][C]1.25442606480103[/C][/ROW]
[ROW][C]0.66[/C][C]2.98586442149567[/C][C]1.25203366045604[/C][/ROW]
[ROW][C]0.67[/C][C]3.26371388829603[/C][C]1.24917805679234[/C][/ROW]
[ROW][C]0.68[/C][C]3.54276406782203[/C][C]1.2452537154199[/C][/ROW]
[ROW][C]0.69[/C][C]3.82254259070781[/C][C]1.23856607180919[/C][/ROW]
[ROW][C]0.7[/C][C]4.10224169145248[/C][C]1.22697886275579[/C][/ROW]
[ROW][C]0.71[/C][C]4.3806965507235[/C][C]1.20863437873859[/C][/ROW]
[ROW][C]0.72[/C][C]4.656480364171[/C][C]1.1825312620884[/C][/ROW]
[ROW][C]0.73[/C][C]4.92808148959158[/C][C]1.14881233708412[/C][/ROW]
[ROW][C]0.74[/C][C]5.19410390511742[/C][C]1.10867099684169[/C][/ROW]
[ROW][C]0.75[/C][C]5.45342692696033[/C][C]1.06402821200652[/C][/ROW]
[ROW][C]0.76[/C][C]5.70527486916774[/C][C]1.01693518535506[/C][/ROW]
[ROW][C]0.77[/C][C]5.94917773508576[/C][C]0.969023179289217[/C][/ROW]
[ROW][C]0.78[/C][C]6.18484130642575[/C][C]0.921058511171314[/C][/ROW]
[ROW][C]0.79[/C][C]6.41197781546658[/C][C]0.87285030772644[/C][/ROW]
[ROW][C]0.8[/C][C]6.63016566818531[/C][C]0.823518449060563[/C][/ROW]
[ROW][C]0.81[/C][C]6.83880087866484[/C][C]0.772055146678479[/C][/ROW]
[ROW][C]0.82[/C][C]7.03717291532477[/C][C]0.717982715225548[/C][/ROW]
[ROW][C]0.83[/C][C]7.22465054197608[/C][C]0.661825685595001[/C][/ROW]
[ROW][C]0.84[/C][C]7.40091344212748[/C][C]0.605194639895967[/C][/ROW]
[ROW][C]0.85[/C][C]7.56613185794234[/C][C]0.550441777997046[/C][/ROW]
[ROW][C]0.86[/C][C]7.72099661668757[/C][C]0.499909583731606[/C][/ROW]
[ROW][C]0.87[/C][C]7.86654318709338[/C][C]0.4549885927779[/C][/ROW]
[ROW][C]0.88[/C][C]8.00378528155782[/C][C]0.415359036911709[/C][/ROW]
[ROW][C]0.89[/C][C]8.13324898265445[/C][C]0.378849367370552[/C][/ROW]
[ROW][C]0.9[/C][C]8.25455273448734[/C][C]0.342128035190871[/C][/ROW]
[ROW][C]0.91[/C][C]8.36621498097276[/C][C]0.30185787574314[/C][/ROW]
[ROW][C]0.92[/C][C]8.46591378357088[/C][C]0.256021349376262[/C][/ROW]
[ROW][C]0.93[/C][C]8.55144798859061[/C][C]0.205333572293155[/C][/ROW]
[ROW][C]0.94[/C][C]8.62253712672556[/C][C]0.154709310106407[/C][/ROW]
[ROW][C]0.95[/C][C]8.68332986164616[/C][C]0.114198703041161[/C][/ROW]
[ROW][C]0.96[/C][C]8.7456043781216[/C][C]0.0986940864972046[/C][/ROW]
[ROW][C]0.97[/C][C]8.83321858262546[/C][C]0.123084324571731[/C][/ROW]
[ROW][C]0.98[/C][C]8.98245285446558[/C][C]0.204117269068029[/C][/ROW]
[ROW][C]0.99[/C][C]9.20628530927513[/C][C]0.353572984055554[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=278966&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=278966&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
0.01-22.55737520293711.72736722081386
0.02-21.32325640079091.46122247948005
0.03-20.12052550437662.01376535356396
0.04-18.83274820326932.71547224584833
0.05-17.39600405245043.19550896002055
0.06-15.87594965838193.42773874322706
0.07-14.36945864084493.47390478116619
0.08-12.95077300186793.36343529334373
0.09-11.66769217895013.11081559162447
0.1-10.54774375614792.75573134350029
0.11-9.599940641781572.36186912488797
0.12-8.815942917763161.99004785813988
0.13-8.174739799217411.67640860605969
0.14-7.649803894757561.4290833956185
0.15-7.215478367977731.23828019598141
0.16-6.850577960183191.08882701007225
0.17-6.539210233661970.967902682596964
0.18-6.269925830985430.867366844944261
0.19-6.034342029428280.783114532537481
0.2-5.825925197119660.713685458480149
0.21-5.639163742792290.658925107463643
0.22-5.469104145871890.619159028990205
0.23-5.311140480319770.594691147429297
0.24-5.160961200292720.585548631872407
0.25-5.014597039789530.591144898816882
0.26-4.868541684145960.609931162732057
0.27-4.719919593681180.639047633844196
0.28-4.566659743701570.674465175711897
0.29-4.407617836150730.711506608664206
0.3-4.242590357434040.745786326156323
0.31-4.072189096600190.77396393116662
0.32-3.897587538884490.794392285852049
0.33-3.720193749062490.807235377791108
0.34-3.541329657283940.814167915885031
0.35-3.361993683281710.817683360809411
0.36-3.182754346496580.820253202171074
0.37-3.003779439597180.82361981901201
0.38-2.824965311970810.828434369864677
0.39-2.646107603858450.83431791906813
0.4-2.467054073342550.840236171995636
0.41-2.287798490582790.845023552220727
0.42-2.108502037981320.847801628839553
0.43-1.929453750169780.848195297311624
0.44-1.750995816201060.846318508988921
0.45-1.573440398940350.842681099211247
0.46-1.396995189886740.838020736894059
0.47-1.221702008717540.833209512182261
0.48-1.047383479683140.829294851454676
0.49-0.8735916007210530.827577027879378
0.5-0.6995590273531840.829698614452301
0.51-0.5241652292308160.837588096291412
0.52-0.3459391556181540.853227268206102
0.53-0.1631217555039580.878186615739051
0.540.02619754264148930.913075132151645
0.550.2238754162466050.957086460662538
0.560.4314690000721441.00785528914716
0.570.6499988286478741.06171079431075
0.580.8797776138670081.11429816622053
0.591.12035366027081.1613914741083
0.61.370592592738911.19969899078579
0.611.62888540835541.22748079149769
0.621.893435273345911.2447851297353
0.632.162551650110791.25325394505766
0.642.434876876763361.25553226447982
0.652.709489433232571.25442606480103
0.662.985864421495671.25203366045604
0.673.263713888296031.24917805679234
0.683.542764067822031.2452537154199
0.693.822542590707811.23856607180919
0.74.102241691452481.22697886275579
0.714.38069655072351.20863437873859
0.724.6564803641711.1825312620884
0.734.928081489591581.14881233708412
0.745.194103905117421.10867099684169
0.755.453426926960331.06402821200652
0.765.705274869167741.01693518535506
0.775.949177735085760.969023179289217
0.786.184841306425750.921058511171314
0.796.411977815466580.87285030772644
0.86.630165668185310.823518449060563
0.816.838800878664840.772055146678479
0.827.037172915324770.717982715225548
0.837.224650541976080.661825685595001
0.847.400913442127480.605194639895967
0.857.566131857942340.550441777997046
0.867.720996616687570.499909583731606
0.877.866543187093380.4549885927779
0.888.003785281557820.415359036911709
0.898.133248982654450.378849367370552
0.98.254552734487340.342128035190871
0.918.366214980972760.30185787574314
0.928.465913783570880.256021349376262
0.938.551447988590610.205333572293155
0.948.622537126725560.154709310106407
0.958.683329861646160.114198703041161
0.968.74560437812160.0986940864972046
0.978.833218582625460.123084324571731
0.988.982452854465580.204117269068029
0.999.206285309275130.353572984055554



Parameters (Session):
par1 = grey ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')