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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 02 Mar 2012 08:17:08 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Mar/02/t1330694274xqde0y8u094dpeb.htm/, Retrieved Sun, 28 Apr 2024 19:15:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163428, Retrieved Sun, 28 Apr 2024 19:15:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact121

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Harrel-Davis deci...] [2012-03-02 13:17:08] [a2709f7ab86902c8a6d752383a828f6c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
67,66
68
68,02
68,11
68,41
68,4
68,4
68,55
68,54
68,99
68,97
68,98
68,98
68,94
69,21
69,21
69,67
69,66
69,66
69,66
69,77
70,32
70,34
70,38
70,38
70,29
70,42
70,29
70,59
70,64
70,64
70,68
70,78
70,9
71,04
71,15
71,15
71,15
71,07
71,17
71,24
71,23
71,23
71,23
71,24
71,28
71,52
71,52
71,52
71,6
71,61
71,78
71,66
71,86
71,86
71,82
71,8
72,22
72,51
72,56

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163428&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163428&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163428&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 time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0167.73196746820030.278968589463069
0.0267.83330412596060.212969763108677
0.0367.93473024751120.170661067864751
0.0468.02399329024370.162855282069374
0.0568.10174042023030.173938678523103
0.0668.17235291804230.186139773006152
0.0768.2390049095720.192753782788026
0.0868.30301280488020.195119100459302
0.0968.36483028509480.197498303908207
0.168.42490038549650.203297874966722
0.1168.48388671493090.213148951568491
0.1268.54249048482510.225222406794806
0.1368.60118616750960.236777493506717
0.1468.66008541667950.245560180944443
0.1568.71898010852780.25066956194649
0.1668.77751038221420.25247254967351
0.1768.83536626115480.252637048494856
0.1868.89244353469910.25324748605387
0.1968.94891064040980.256258716766409
0.269.00518226817130.262937421641831
0.2169.06182435043840.273559375893067
0.2269.11942886763580.28731639603069
0.2369.17849624454020.303182997987434
0.2469.23935234807480.319273551181975
0.2569.30211186052920.334460454729843
0.2669.36668530852170.347681801698939
0.2769.43281691439150.358564622124501
0.2869.50013628308760.366855171104713
0.2969.56820838685620.372479737021359
0.369.63657161924930.375763069064088
0.3169.70476049025610.376549298619863
0.3269.77231557778060.374946850510506
0.3369.83878707231750.370715616287208
0.3469.90373904739110.363771832665817
0.3569.96675979246990.354078627601983
0.3670.02748016549840.341691445553278
0.3770.08559824194760.327095121139691
0.3870.14090571023680.310973995476068
0.3970.19331021413110.294276299158196
0.470.24284833632940.277806969824116
0.4170.28968580720950.262554451463562
0.4270.33410413267330.249462971743744
0.4370.37647540303430.238949727764621
0.4470.41722894665610.231448647771127
0.4570.45681438668140.226916101144538
0.4670.49566552914250.22497585148378
0.4770.53416860415320.225250168184471
0.4870.5726370917980.227145208692284
0.4970.61129409029920.230030005998937
0.570.65026221857080.23316875960649
0.5170.68956051303210.235941824831097
0.5270.7291076361710.237851123679805
0.5370.76873080068680.238323540318848
0.5470.80817992681610.236920029699919
0.5570.84714652789740.233333786779476
0.5670.88528658822040.227336634747194
0.5770.9222462939190.219156615053392
0.5870.95768902473360.208683872454311
0.5970.99132167081040.196463989522352
0.671.02291823935170.182823070606844
0.6171.05233892202410.168481792805858
0.6271.07954326936660.153968105276477
0.6371.1045967404650.139997742767996
0.6471.12767049846690.127227162917055
0.6571.14903475554580.116198414437844
0.6671.1690461611360.107462425816304
0.6771.18812971304910.101454551296638
0.6871.20675559957570.0985445649582079
0.6971.22541145982650.0987058740849499
0.771.24457096517080.101780556236766
0.7171.26466044611610.107310220253084
0.7271.28602639777070.114556112875165
0.7371.30890777122860.122752795578832
0.7471.33341753518270.131010058591366
0.7571.35953760690480.138372420087912
0.7671.38712962039270.144284905501866
0.7771.41596118983850.14817098134897
0.7871.44574385081360.149888966118889
0.7971.47617563577390.149535996880816
0.871.50697939285570.147488942400825
0.8171.53792851654480.144342913531722
0.8271.56885530431650.140471434488853
0.8371.59964352615080.136327520679542
0.8471.63021496359030.131998431945003
0.8571.66052777843680.127434399017594
0.8671.69061004406520.122495110276177
0.8771.72065142469080.117276832893152
0.8871.7511659585280.112468663172685
0.8971.78321480768390.109925995686352
0.971.81863610949430.112697170147362
0.9171.86017099606980.124765688197394
0.9271.91131442576670.148848490953655
0.9371.97569308507030.184003542591319
0.9472.05584245223620.224431063105183
0.9572.15148936148070.259023359636301
0.9672.25785735087320.272654527472391
0.9772.36495970558540.250876858496243
0.9872.4589919133060.189549591828229
0.9972.5264076295050.107034670825333

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 67.7319674682003 & 0.278968589463069 \tabularnewline
0.02 & 67.8333041259606 & 0.212969763108677 \tabularnewline
0.03 & 67.9347302475112 & 0.170661067864751 \tabularnewline
0.04 & 68.0239932902437 & 0.162855282069374 \tabularnewline
0.05 & 68.1017404202303 & 0.173938678523103 \tabularnewline
0.06 & 68.1723529180423 & 0.186139773006152 \tabularnewline
0.07 & 68.239004909572 & 0.192753782788026 \tabularnewline
0.08 & 68.3030128048802 & 0.195119100459302 \tabularnewline
0.09 & 68.3648302850948 & 0.197498303908207 \tabularnewline
0.1 & 68.4249003854965 & 0.203297874966722 \tabularnewline
0.11 & 68.4838867149309 & 0.213148951568491 \tabularnewline
0.12 & 68.5424904848251 & 0.225222406794806 \tabularnewline
0.13 & 68.6011861675096 & 0.236777493506717 \tabularnewline
0.14 & 68.6600854166795 & 0.245560180944443 \tabularnewline
0.15 & 68.7189801085278 & 0.25066956194649 \tabularnewline
0.16 & 68.7775103822142 & 0.25247254967351 \tabularnewline
0.17 & 68.8353662611548 & 0.252637048494856 \tabularnewline
0.18 & 68.8924435346991 & 0.25324748605387 \tabularnewline
0.19 & 68.9489106404098 & 0.256258716766409 \tabularnewline
0.2 & 69.0051822681713 & 0.262937421641831 \tabularnewline
0.21 & 69.0618243504384 & 0.273559375893067 \tabularnewline
0.22 & 69.1194288676358 & 0.28731639603069 \tabularnewline
0.23 & 69.1784962445402 & 0.303182997987434 \tabularnewline
0.24 & 69.2393523480748 & 0.319273551181975 \tabularnewline
0.25 & 69.3021118605292 & 0.334460454729843 \tabularnewline
0.26 & 69.3666853085217 & 0.347681801698939 \tabularnewline
0.27 & 69.4328169143915 & 0.358564622124501 \tabularnewline
0.28 & 69.5001362830876 & 0.366855171104713 \tabularnewline
0.29 & 69.5682083868562 & 0.372479737021359 \tabularnewline
0.3 & 69.6365716192493 & 0.375763069064088 \tabularnewline
0.31 & 69.7047604902561 & 0.376549298619863 \tabularnewline
0.32 & 69.7723155777806 & 0.374946850510506 \tabularnewline
0.33 & 69.8387870723175 & 0.370715616287208 \tabularnewline
0.34 & 69.9037390473911 & 0.363771832665817 \tabularnewline
0.35 & 69.9667597924699 & 0.354078627601983 \tabularnewline
0.36 & 70.0274801654984 & 0.341691445553278 \tabularnewline
0.37 & 70.0855982419476 & 0.327095121139691 \tabularnewline
0.38 & 70.1409057102368 & 0.310973995476068 \tabularnewline
0.39 & 70.1933102141311 & 0.294276299158196 \tabularnewline
0.4 & 70.2428483363294 & 0.277806969824116 \tabularnewline
0.41 & 70.2896858072095 & 0.262554451463562 \tabularnewline
0.42 & 70.3341041326733 & 0.249462971743744 \tabularnewline
0.43 & 70.3764754030343 & 0.238949727764621 \tabularnewline
0.44 & 70.4172289466561 & 0.231448647771127 \tabularnewline
0.45 & 70.4568143866814 & 0.226916101144538 \tabularnewline
0.46 & 70.4956655291425 & 0.22497585148378 \tabularnewline
0.47 & 70.5341686041532 & 0.225250168184471 \tabularnewline
0.48 & 70.572637091798 & 0.227145208692284 \tabularnewline
0.49 & 70.6112940902992 & 0.230030005998937 \tabularnewline
0.5 & 70.6502622185708 & 0.23316875960649 \tabularnewline
0.51 & 70.6895605130321 & 0.235941824831097 \tabularnewline
0.52 & 70.729107636171 & 0.237851123679805 \tabularnewline
0.53 & 70.7687308006868 & 0.238323540318848 \tabularnewline
0.54 & 70.8081799268161 & 0.236920029699919 \tabularnewline
0.55 & 70.8471465278974 & 0.233333786779476 \tabularnewline
0.56 & 70.8852865882204 & 0.227336634747194 \tabularnewline
0.57 & 70.922246293919 & 0.219156615053392 \tabularnewline
0.58 & 70.9576890247336 & 0.208683872454311 \tabularnewline
0.59 & 70.9913216708104 & 0.196463989522352 \tabularnewline
0.6 & 71.0229182393517 & 0.182823070606844 \tabularnewline
0.61 & 71.0523389220241 & 0.168481792805858 \tabularnewline
0.62 & 71.0795432693666 & 0.153968105276477 \tabularnewline
0.63 & 71.104596740465 & 0.139997742767996 \tabularnewline
0.64 & 71.1276704984669 & 0.127227162917055 \tabularnewline
0.65 & 71.1490347555458 & 0.116198414437844 \tabularnewline
0.66 & 71.169046161136 & 0.107462425816304 \tabularnewline
0.67 & 71.1881297130491 & 0.101454551296638 \tabularnewline
0.68 & 71.2067555995757 & 0.0985445649582079 \tabularnewline
0.69 & 71.2254114598265 & 0.0987058740849499 \tabularnewline
0.7 & 71.2445709651708 & 0.101780556236766 \tabularnewline
0.71 & 71.2646604461161 & 0.107310220253084 \tabularnewline
0.72 & 71.2860263977707 & 0.114556112875165 \tabularnewline
0.73 & 71.3089077712286 & 0.122752795578832 \tabularnewline
0.74 & 71.3334175351827 & 0.131010058591366 \tabularnewline
0.75 & 71.3595376069048 & 0.138372420087912 \tabularnewline
0.76 & 71.3871296203927 & 0.144284905501866 \tabularnewline
0.77 & 71.4159611898385 & 0.14817098134897 \tabularnewline
0.78 & 71.4457438508136 & 0.149888966118889 \tabularnewline
0.79 & 71.4761756357739 & 0.149535996880816 \tabularnewline
0.8 & 71.5069793928557 & 0.147488942400825 \tabularnewline
0.81 & 71.5379285165448 & 0.144342913531722 \tabularnewline
0.82 & 71.5688553043165 & 0.140471434488853 \tabularnewline
0.83 & 71.5996435261508 & 0.136327520679542 \tabularnewline
0.84 & 71.6302149635903 & 0.131998431945003 \tabularnewline
0.85 & 71.6605277784368 & 0.127434399017594 \tabularnewline
0.86 & 71.6906100440652 & 0.122495110276177 \tabularnewline
0.87 & 71.7206514246908 & 0.117276832893152 \tabularnewline
0.88 & 71.751165958528 & 0.112468663172685 \tabularnewline
0.89 & 71.7832148076839 & 0.109925995686352 \tabularnewline
0.9 & 71.8186361094943 & 0.112697170147362 \tabularnewline
0.91 & 71.8601709960698 & 0.124765688197394 \tabularnewline
0.92 & 71.9113144257667 & 0.148848490953655 \tabularnewline
0.93 & 71.9756930850703 & 0.184003542591319 \tabularnewline
0.94 & 72.0558424522362 & 0.224431063105183 \tabularnewline
0.95 & 72.1514893614807 & 0.259023359636301 \tabularnewline
0.96 & 72.2578573508732 & 0.272654527472391 \tabularnewline
0.97 & 72.3649597055854 & 0.250876858496243 \tabularnewline
0.98 & 72.458991913306 & 0.189549591828229 \tabularnewline
0.99 & 72.526407629505 & 0.107034670825333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163428&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]67.7319674682003[/C][C]0.278968589463069[/C][/ROW]
[ROW][C]0.02[/C][C]67.8333041259606[/C][C]0.212969763108677[/C][/ROW]
[ROW][C]0.03[/C][C]67.9347302475112[/C][C]0.170661067864751[/C][/ROW]
[ROW][C]0.04[/C][C]68.0239932902437[/C][C]0.162855282069374[/C][/ROW]
[ROW][C]0.05[/C][C]68.1017404202303[/C][C]0.173938678523103[/C][/ROW]
[ROW][C]0.06[/C][C]68.1723529180423[/C][C]0.186139773006152[/C][/ROW]
[ROW][C]0.07[/C][C]68.239004909572[/C][C]0.192753782788026[/C][/ROW]
[ROW][C]0.08[/C][C]68.3030128048802[/C][C]0.195119100459302[/C][/ROW]
[ROW][C]0.09[/C][C]68.3648302850948[/C][C]0.197498303908207[/C][/ROW]
[ROW][C]0.1[/C][C]68.4249003854965[/C][C]0.203297874966722[/C][/ROW]
[ROW][C]0.11[/C][C]68.4838867149309[/C][C]0.213148951568491[/C][/ROW]
[ROW][C]0.12[/C][C]68.5424904848251[/C][C]0.225222406794806[/C][/ROW]
[ROW][C]0.13[/C][C]68.6011861675096[/C][C]0.236777493506717[/C][/ROW]
[ROW][C]0.14[/C][C]68.6600854166795[/C][C]0.245560180944443[/C][/ROW]
[ROW][C]0.15[/C][C]68.7189801085278[/C][C]0.25066956194649[/C][/ROW]
[ROW][C]0.16[/C][C]68.7775103822142[/C][C]0.25247254967351[/C][/ROW]
[ROW][C]0.17[/C][C]68.8353662611548[/C][C]0.252637048494856[/C][/ROW]
[ROW][C]0.18[/C][C]68.8924435346991[/C][C]0.25324748605387[/C][/ROW]
[ROW][C]0.19[/C][C]68.9489106404098[/C][C]0.256258716766409[/C][/ROW]
[ROW][C]0.2[/C][C]69.0051822681713[/C][C]0.262937421641831[/C][/ROW]
[ROW][C]0.21[/C][C]69.0618243504384[/C][C]0.273559375893067[/C][/ROW]
[ROW][C]0.22[/C][C]69.1194288676358[/C][C]0.28731639603069[/C][/ROW]
[ROW][C]0.23[/C][C]69.1784962445402[/C][C]0.303182997987434[/C][/ROW]
[ROW][C]0.24[/C][C]69.2393523480748[/C][C]0.319273551181975[/C][/ROW]
[ROW][C]0.25[/C][C]69.3021118605292[/C][C]0.334460454729843[/C][/ROW]
[ROW][C]0.26[/C][C]69.3666853085217[/C][C]0.347681801698939[/C][/ROW]
[ROW][C]0.27[/C][C]69.4328169143915[/C][C]0.358564622124501[/C][/ROW]
[ROW][C]0.28[/C][C]69.5001362830876[/C][C]0.366855171104713[/C][/ROW]
[ROW][C]0.29[/C][C]69.5682083868562[/C][C]0.372479737021359[/C][/ROW]
[ROW][C]0.3[/C][C]69.6365716192493[/C][C]0.375763069064088[/C][/ROW]
[ROW][C]0.31[/C][C]69.7047604902561[/C][C]0.376549298619863[/C][/ROW]
[ROW][C]0.32[/C][C]69.7723155777806[/C][C]0.374946850510506[/C][/ROW]
[ROW][C]0.33[/C][C]69.8387870723175[/C][C]0.370715616287208[/C][/ROW]
[ROW][C]0.34[/C][C]69.9037390473911[/C][C]0.363771832665817[/C][/ROW]
[ROW][C]0.35[/C][C]69.9667597924699[/C][C]0.354078627601983[/C][/ROW]
[ROW][C]0.36[/C][C]70.0274801654984[/C][C]0.341691445553278[/C][/ROW]
[ROW][C]0.37[/C][C]70.0855982419476[/C][C]0.327095121139691[/C][/ROW]
[ROW][C]0.38[/C][C]70.1409057102368[/C][C]0.310973995476068[/C][/ROW]
[ROW][C]0.39[/C][C]70.1933102141311[/C][C]0.294276299158196[/C][/ROW]
[ROW][C]0.4[/C][C]70.2428483363294[/C][C]0.277806969824116[/C][/ROW]
[ROW][C]0.41[/C][C]70.2896858072095[/C][C]0.262554451463562[/C][/ROW]
[ROW][C]0.42[/C][C]70.3341041326733[/C][C]0.249462971743744[/C][/ROW]
[ROW][C]0.43[/C][C]70.3764754030343[/C][C]0.238949727764621[/C][/ROW]
[ROW][C]0.44[/C][C]70.4172289466561[/C][C]0.231448647771127[/C][/ROW]
[ROW][C]0.45[/C][C]70.4568143866814[/C][C]0.226916101144538[/C][/ROW]
[ROW][C]0.46[/C][C]70.4956655291425[/C][C]0.22497585148378[/C][/ROW]
[ROW][C]0.47[/C][C]70.5341686041532[/C][C]0.225250168184471[/C][/ROW]
[ROW][C]0.48[/C][C]70.572637091798[/C][C]0.227145208692284[/C][/ROW]
[ROW][C]0.49[/C][C]70.6112940902992[/C][C]0.230030005998937[/C][/ROW]
[ROW][C]0.5[/C][C]70.6502622185708[/C][C]0.23316875960649[/C][/ROW]
[ROW][C]0.51[/C][C]70.6895605130321[/C][C]0.235941824831097[/C][/ROW]
[ROW][C]0.52[/C][C]70.729107636171[/C][C]0.237851123679805[/C][/ROW]
[ROW][C]0.53[/C][C]70.7687308006868[/C][C]0.238323540318848[/C][/ROW]
[ROW][C]0.54[/C][C]70.8081799268161[/C][C]0.236920029699919[/C][/ROW]
[ROW][C]0.55[/C][C]70.8471465278974[/C][C]0.233333786779476[/C][/ROW]
[ROW][C]0.56[/C][C]70.8852865882204[/C][C]0.227336634747194[/C][/ROW]
[ROW][C]0.57[/C][C]70.922246293919[/C][C]0.219156615053392[/C][/ROW]
[ROW][C]0.58[/C][C]70.9576890247336[/C][C]0.208683872454311[/C][/ROW]
[ROW][C]0.59[/C][C]70.9913216708104[/C][C]0.196463989522352[/C][/ROW]
[ROW][C]0.6[/C][C]71.0229182393517[/C][C]0.182823070606844[/C][/ROW]
[ROW][C]0.61[/C][C]71.0523389220241[/C][C]0.168481792805858[/C][/ROW]
[ROW][C]0.62[/C][C]71.0795432693666[/C][C]0.153968105276477[/C][/ROW]
[ROW][C]0.63[/C][C]71.104596740465[/C][C]0.139997742767996[/C][/ROW]
[ROW][C]0.64[/C][C]71.1276704984669[/C][C]0.127227162917055[/C][/ROW]
[ROW][C]0.65[/C][C]71.1490347555458[/C][C]0.116198414437844[/C][/ROW]
[ROW][C]0.66[/C][C]71.169046161136[/C][C]0.107462425816304[/C][/ROW]
[ROW][C]0.67[/C][C]71.1881297130491[/C][C]0.101454551296638[/C][/ROW]
[ROW][C]0.68[/C][C]71.2067555995757[/C][C]0.0985445649582079[/C][/ROW]
[ROW][C]0.69[/C][C]71.2254114598265[/C][C]0.0987058740849499[/C][/ROW]
[ROW][C]0.7[/C][C]71.2445709651708[/C][C]0.101780556236766[/C][/ROW]
[ROW][C]0.71[/C][C]71.2646604461161[/C][C]0.107310220253084[/C][/ROW]
[ROW][C]0.72[/C][C]71.2860263977707[/C][C]0.114556112875165[/C][/ROW]
[ROW][C]0.73[/C][C]71.3089077712286[/C][C]0.122752795578832[/C][/ROW]
[ROW][C]0.74[/C][C]71.3334175351827[/C][C]0.131010058591366[/C][/ROW]
[ROW][C]0.75[/C][C]71.3595376069048[/C][C]0.138372420087912[/C][/ROW]
[ROW][C]0.76[/C][C]71.3871296203927[/C][C]0.144284905501866[/C][/ROW]
[ROW][C]0.77[/C][C]71.4159611898385[/C][C]0.14817098134897[/C][/ROW]
[ROW][C]0.78[/C][C]71.4457438508136[/C][C]0.149888966118889[/C][/ROW]
[ROW][C]0.79[/C][C]71.4761756357739[/C][C]0.149535996880816[/C][/ROW]
[ROW][C]0.8[/C][C]71.5069793928557[/C][C]0.147488942400825[/C][/ROW]
[ROW][C]0.81[/C][C]71.5379285165448[/C][C]0.144342913531722[/C][/ROW]
[ROW][C]0.82[/C][C]71.5688553043165[/C][C]0.140471434488853[/C][/ROW]
[ROW][C]0.83[/C][C]71.5996435261508[/C][C]0.136327520679542[/C][/ROW]
[ROW][C]0.84[/C][C]71.6302149635903[/C][C]0.131998431945003[/C][/ROW]
[ROW][C]0.85[/C][C]71.6605277784368[/C][C]0.127434399017594[/C][/ROW]
[ROW][C]0.86[/C][C]71.6906100440652[/C][C]0.122495110276177[/C][/ROW]
[ROW][C]0.87[/C][C]71.7206514246908[/C][C]0.117276832893152[/C][/ROW]
[ROW][C]0.88[/C][C]71.751165958528[/C][C]0.112468663172685[/C][/ROW]
[ROW][C]0.89[/C][C]71.7832148076839[/C][C]0.109925995686352[/C][/ROW]
[ROW][C]0.9[/C][C]71.8186361094943[/C][C]0.112697170147362[/C][/ROW]
[ROW][C]0.91[/C][C]71.8601709960698[/C][C]0.124765688197394[/C][/ROW]
[ROW][C]0.92[/C][C]71.9113144257667[/C][C]0.148848490953655[/C][/ROW]
[ROW][C]0.93[/C][C]71.9756930850703[/C][C]0.184003542591319[/C][/ROW]
[ROW][C]0.94[/C][C]72.0558424522362[/C][C]0.224431063105183[/C][/ROW]
[ROW][C]0.95[/C][C]72.1514893614807[/C][C]0.259023359636301[/C][/ROW]
[ROW][C]0.96[/C][C]72.2578573508732[/C][C]0.272654527472391[/C][/ROW]
[ROW][C]0.97[/C][C]72.3649597055854[/C][C]0.250876858496243[/C][/ROW]
[ROW][C]0.98[/C][C]72.458991913306[/C][C]0.189549591828229[/C][/ROW]
[ROW][C]0.99[/C][C]72.526407629505[/C][C]0.107034670825333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163428&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163428&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
0.0167.73196746820030.278968589463069
0.0267.83330412596060.212969763108677
0.0367.93473024751120.170661067864751
0.0468.02399329024370.162855282069374
0.0568.10174042023030.173938678523103
0.0668.17235291804230.186139773006152
0.0768.2390049095720.192753782788026
0.0868.30301280488020.195119100459302
0.0968.36483028509480.197498303908207
0.168.42490038549650.203297874966722
0.1168.48388671493090.213148951568491
0.1268.54249048482510.225222406794806
0.1368.60118616750960.236777493506717
0.1468.66008541667950.245560180944443
0.1568.71898010852780.25066956194649
0.1668.77751038221420.25247254967351
0.1768.83536626115480.252637048494856
0.1868.89244353469910.25324748605387
0.1968.94891064040980.256258716766409
0.269.00518226817130.262937421641831
0.2169.06182435043840.273559375893067
0.2269.11942886763580.28731639603069
0.2369.17849624454020.303182997987434
0.2469.23935234807480.319273551181975
0.2569.30211186052920.334460454729843
0.2669.36668530852170.347681801698939
0.2769.43281691439150.358564622124501
0.2869.50013628308760.366855171104713
0.2969.56820838685620.372479737021359
0.369.63657161924930.375763069064088
0.3169.70476049025610.376549298619863
0.3269.77231557778060.374946850510506
0.3369.83878707231750.370715616287208
0.3469.90373904739110.363771832665817
0.3569.96675979246990.354078627601983
0.3670.02748016549840.341691445553278
0.3770.08559824194760.327095121139691
0.3870.14090571023680.310973995476068
0.3970.19331021413110.294276299158196
0.470.24284833632940.277806969824116
0.4170.28968580720950.262554451463562
0.4270.33410413267330.249462971743744
0.4370.37647540303430.238949727764621
0.4470.41722894665610.231448647771127
0.4570.45681438668140.226916101144538
0.4670.49566552914250.22497585148378
0.4770.53416860415320.225250168184471
0.4870.5726370917980.227145208692284
0.4970.61129409029920.230030005998937
0.570.65026221857080.23316875960649
0.5170.68956051303210.235941824831097
0.5270.7291076361710.237851123679805
0.5370.76873080068680.238323540318848
0.5470.80817992681610.236920029699919
0.5570.84714652789740.233333786779476
0.5670.88528658822040.227336634747194
0.5770.9222462939190.219156615053392
0.5870.95768902473360.208683872454311
0.5970.99132167081040.196463989522352
0.671.02291823935170.182823070606844
0.6171.05233892202410.168481792805858
0.6271.07954326936660.153968105276477
0.6371.1045967404650.139997742767996
0.6471.12767049846690.127227162917055
0.6571.14903475554580.116198414437844
0.6671.1690461611360.107462425816304
0.6771.18812971304910.101454551296638
0.6871.20675559957570.0985445649582079
0.6971.22541145982650.0987058740849499
0.771.24457096517080.101780556236766
0.7171.26466044611610.107310220253084
0.7271.28602639777070.114556112875165
0.7371.30890777122860.122752795578832
0.7471.33341753518270.131010058591366
0.7571.35953760690480.138372420087912
0.7671.38712962039270.144284905501866
0.7771.41596118983850.14817098134897
0.7871.44574385081360.149888966118889
0.7971.47617563577390.149535996880816
0.871.50697939285570.147488942400825
0.8171.53792851654480.144342913531722
0.8271.56885530431650.140471434488853
0.8371.59964352615080.136327520679542
0.8471.63021496359030.131998431945003
0.8571.66052777843680.127434399017594
0.8671.69061004406520.122495110276177
0.8771.72065142469080.117276832893152
0.8871.7511659585280.112468663172685
0.8971.78321480768390.109925995686352
0.971.81863610949430.112697170147362
0.9171.86017099606980.124765688197394
0.9271.91131442576670.148848490953655
0.9371.97569308507030.184003542591319
0.9472.05584245223620.224431063105183
0.9572.15148936148070.259023359636301
0.9672.25785735087320.272654527472391
0.9772.36495970558540.250876858496243
0.9872.4589919133060.189549591828229
0.9972.5264076295050.107034670825333


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')