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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 computationMon, 15 Aug 2011 11:34:31 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Aug/15/t1313422513s33bl93x1clyhnw.htm/, Retrieved Tue, 14 May 2024 01:01:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=123792, Retrieved Tue, 14 May 2024 01:01:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsBerns Sophie
Estimated Impact98

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] [Tijdreeks B - Stap 7] [2011-08-15 15:34:31] [adf65953347764930908a56f01d4e8ba] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
860
950
780
840
840
900
860
810
870
930
790
930
820
930
730
860
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1040
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940
790
920
770
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770
890
890
860
830
1020
740
940
780
860
820
760
780
900
820
980
830
930
770
960
750
850
850
820
730
960
760
940
880
890
830
850
850
860
800
840
760
910
650
990
780
910
820
780
890
810
830
890
760
860
670
940
740
920
800
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920
810
790
850
780
900
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960
760
920
740
800
870
740
710
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880
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1040
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900
820
740

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=123792&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=123792&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=123792&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01663.41451498718622.232098137196
0.02682.69810798301422.2261841591737
0.03699.21483563491418.5350341293407
0.04711.38821712095915.4877757318808
0.05720.35075573117213.4570035780356
0.06727.13277983733811.2435028137277
0.07732.2403026133368.80208224906969
0.08736.017689050386.78356113129598
0.09738.8798950462845.79545810838076
0.1741.289958885916.00525534920199
0.11743.6427080454527.01588159451557
0.12746.1801638446878.25313354367536
0.13748.9769375124759.28939829963699
0.14751.9826883916279.91858708239568
0.15755.08907100052210.1390864755973
0.16758.18883600468410.0811604113029
0.17761.2080406513579.89701682312142
0.18764.1101019590779.68153227064702
0.19766.8832988048549.45322108265169
0.2769.5263178296169.19409330887219
0.21772.0411061538998.89785291316278
0.22774.4341654809548.59970359559065
0.23776.7216887715538.37097858709783
0.24778.9327623156428.28849489717485
0.25781.1073049394028.39814223507824
0.26783.2890663117688.69504669397695
0.27785.5166562633389.12352528308885
0.28787.8162015787379.60631988649388
0.29790.19804586995810.0699663749012
0.3792.65789840971310.4622976042024
0.31795.18108874776710.7628976117494
0.32797.74779852856310.9676450861877
0.33800.33743019875711.089754873401
0.34802.93124387249311.1411109416208
0.35805.51344304386611.1307099024443
0.36808.0715140372511.0671693617464
0.37810.59662883958710.9633961519373
0.38813.08444705228810.8386076075678
0.39815.5360446634810.7240576659732
0.4817.95830404636110.6512137218877
0.41820.36311070290110.6465113942022
0.42822.76508851167410.7191932458059
0.43825.17816897698510.8578737740999
0.44827.61178002627711.0264004114313
0.45830.06766485776111.1801638436234
0.46832.53823277295611.2665466097355
0.47835.00695712010711.2452479182087
0.48837.45080695338411.0911322861627
0.49839.84419115904410.8027957585795
0.5842.16354781850910.4005189296513
0.51844.3916147366129.92504749249733
0.52846.5205822135919.43076796381888
0.53848.5536880517958.97352422948756
0.54850.5052335477928.60597237182511
0.55852.3993221330578.37028014888535
0.56854.267736185488.29578372658501
0.57856.1472592696478.39885691091361
0.58858.0765244203928.6814739403501
0.59860.0923007654519.12766587538632
0.6862.2251790294569.69981474201371
0.61864.49492649718210.3366743278716
0.62866.90624177828110.9574882089484
0.63869.44601685511911.4711327419408
0.64872.08326217004811.7970987415989
0.65874.77243526044211.8770311330604
0.66877.46009387648111.6899285405069
0.67880.09382085379111.2600084040751
0.68882.63159134379210.6538127536568
0.69885.0494834145349.96868952806643
0.7887.3460033590029.31478652729142
0.71889.5421907168678.79504104750157
0.72891.6777517840718.48413725984587
0.73893.8043355555428.41549055234581
0.74895.977427589768.5818737193594
0.75898.2481887229248.9401087853388
0.76900.6561799226269.42310445214689
0.77903.2236544321869.94784176820187
0.78905.9521343117510.4240153542664
0.79908.82213287259610.7663668025513
0.8911.79671053920310.9140233816806
0.81914.82876299987610.8445307556629
0.82917.87072219257710.5782498796672
0.83920.88438737920810.172679203259
0.84923.8486721252489.70501438671949
0.85926.7644037388519.25457830038534
0.86929.6572035651358.89379740372003
0.87932.5802616184788.69230048122794
0.88935.617061209338.7253168055789
0.89938.8809019166919.06431004522205
0.9942.508801007559.72791530214814
0.91946.65831262659410.6538464087796
0.92951.53296927118611.7949938127124
0.93957.46186863736713.3439610870513
0.94965.01158020613415.7993214277595
0.95975.01148713395619.521796207704
0.96988.26254650393523.9359318758787
0.971004.6607021743926.7462815075389
0.981021.839210357123.7726985676834
0.991034.8825929169612.2958623551788

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 663.414514987186 & 22.232098137196 \tabularnewline
0.02 & 682.698107983014 & 22.2261841591737 \tabularnewline
0.03 & 699.214835634914 & 18.5350341293407 \tabularnewline
0.04 & 711.388217120959 & 15.4877757318808 \tabularnewline
0.05 & 720.350755731172 & 13.4570035780356 \tabularnewline
0.06 & 727.132779837338 & 11.2435028137277 \tabularnewline
0.07 & 732.240302613336 & 8.80208224906969 \tabularnewline
0.08 & 736.01768905038 & 6.78356113129598 \tabularnewline
0.09 & 738.879895046284 & 5.79545810838076 \tabularnewline
0.1 & 741.28995888591 & 6.00525534920199 \tabularnewline
0.11 & 743.642708045452 & 7.01588159451557 \tabularnewline
0.12 & 746.180163844687 & 8.25313354367536 \tabularnewline
0.13 & 748.976937512475 & 9.28939829963699 \tabularnewline
0.14 & 751.982688391627 & 9.91858708239568 \tabularnewline
0.15 & 755.089071000522 & 10.1390864755973 \tabularnewline
0.16 & 758.188836004684 & 10.0811604113029 \tabularnewline
0.17 & 761.208040651357 & 9.89701682312142 \tabularnewline
0.18 & 764.110101959077 & 9.68153227064702 \tabularnewline
0.19 & 766.883298804854 & 9.45322108265169 \tabularnewline
0.2 & 769.526317829616 & 9.19409330887219 \tabularnewline
0.21 & 772.041106153899 & 8.89785291316278 \tabularnewline
0.22 & 774.434165480954 & 8.59970359559065 \tabularnewline
0.23 & 776.721688771553 & 8.37097858709783 \tabularnewline
0.24 & 778.932762315642 & 8.28849489717485 \tabularnewline
0.25 & 781.107304939402 & 8.39814223507824 \tabularnewline
0.26 & 783.289066311768 & 8.69504669397695 \tabularnewline
0.27 & 785.516656263338 & 9.12352528308885 \tabularnewline
0.28 & 787.816201578737 & 9.60631988649388 \tabularnewline
0.29 & 790.198045869958 & 10.0699663749012 \tabularnewline
0.3 & 792.657898409713 & 10.4622976042024 \tabularnewline
0.31 & 795.181088747767 & 10.7628976117494 \tabularnewline
0.32 & 797.747798528563 & 10.9676450861877 \tabularnewline
0.33 & 800.337430198757 & 11.089754873401 \tabularnewline
0.34 & 802.931243872493 & 11.1411109416208 \tabularnewline
0.35 & 805.513443043866 & 11.1307099024443 \tabularnewline
0.36 & 808.07151403725 & 11.0671693617464 \tabularnewline
0.37 & 810.596628839587 & 10.9633961519373 \tabularnewline
0.38 & 813.084447052288 & 10.8386076075678 \tabularnewline
0.39 & 815.53604466348 & 10.7240576659732 \tabularnewline
0.4 & 817.958304046361 & 10.6512137218877 \tabularnewline
0.41 & 820.363110702901 & 10.6465113942022 \tabularnewline
0.42 & 822.765088511674 & 10.7191932458059 \tabularnewline
0.43 & 825.178168976985 & 10.8578737740999 \tabularnewline
0.44 & 827.611780026277 & 11.0264004114313 \tabularnewline
0.45 & 830.067664857761 & 11.1801638436234 \tabularnewline
0.46 & 832.538232772956 & 11.2665466097355 \tabularnewline
0.47 & 835.006957120107 & 11.2452479182087 \tabularnewline
0.48 & 837.450806953384 & 11.0911322861627 \tabularnewline
0.49 & 839.844191159044 & 10.8027957585795 \tabularnewline
0.5 & 842.163547818509 & 10.4005189296513 \tabularnewline
0.51 & 844.391614736612 & 9.92504749249733 \tabularnewline
0.52 & 846.520582213591 & 9.43076796381888 \tabularnewline
0.53 & 848.553688051795 & 8.97352422948756 \tabularnewline
0.54 & 850.505233547792 & 8.60597237182511 \tabularnewline
0.55 & 852.399322133057 & 8.37028014888535 \tabularnewline
0.56 & 854.26773618548 & 8.29578372658501 \tabularnewline
0.57 & 856.147259269647 & 8.39885691091361 \tabularnewline
0.58 & 858.076524420392 & 8.6814739403501 \tabularnewline
0.59 & 860.092300765451 & 9.12766587538632 \tabularnewline
0.6 & 862.225179029456 & 9.69981474201371 \tabularnewline
0.61 & 864.494926497182 & 10.3366743278716 \tabularnewline
0.62 & 866.906241778281 & 10.9574882089484 \tabularnewline
0.63 & 869.446016855119 & 11.4711327419408 \tabularnewline
0.64 & 872.083262170048 & 11.7970987415989 \tabularnewline
0.65 & 874.772435260442 & 11.8770311330604 \tabularnewline
0.66 & 877.460093876481 & 11.6899285405069 \tabularnewline
0.67 & 880.093820853791 & 11.2600084040751 \tabularnewline
0.68 & 882.631591343792 & 10.6538127536568 \tabularnewline
0.69 & 885.049483414534 & 9.96868952806643 \tabularnewline
0.7 & 887.346003359002 & 9.31478652729142 \tabularnewline
0.71 & 889.542190716867 & 8.79504104750157 \tabularnewline
0.72 & 891.677751784071 & 8.48413725984587 \tabularnewline
0.73 & 893.804335555542 & 8.41549055234581 \tabularnewline
0.74 & 895.97742758976 & 8.5818737193594 \tabularnewline
0.75 & 898.248188722924 & 8.9401087853388 \tabularnewline
0.76 & 900.656179922626 & 9.42310445214689 \tabularnewline
0.77 & 903.223654432186 & 9.94784176820187 \tabularnewline
0.78 & 905.95213431175 & 10.4240153542664 \tabularnewline
0.79 & 908.822132872596 & 10.7663668025513 \tabularnewline
0.8 & 911.796710539203 & 10.9140233816806 \tabularnewline
0.81 & 914.828762999876 & 10.8445307556629 \tabularnewline
0.82 & 917.870722192577 & 10.5782498796672 \tabularnewline
0.83 & 920.884387379208 & 10.172679203259 \tabularnewline
0.84 & 923.848672125248 & 9.70501438671949 \tabularnewline
0.85 & 926.764403738851 & 9.25457830038534 \tabularnewline
0.86 & 929.657203565135 & 8.89379740372003 \tabularnewline
0.87 & 932.580261618478 & 8.69230048122794 \tabularnewline
0.88 & 935.61706120933 & 8.7253168055789 \tabularnewline
0.89 & 938.880901916691 & 9.06431004522205 \tabularnewline
0.9 & 942.50880100755 & 9.72791530214814 \tabularnewline
0.91 & 946.658312626594 & 10.6538464087796 \tabularnewline
0.92 & 951.532969271186 & 11.7949938127124 \tabularnewline
0.93 & 957.461868637367 & 13.3439610870513 \tabularnewline
0.94 & 965.011580206134 & 15.7993214277595 \tabularnewline
0.95 & 975.011487133956 & 19.521796207704 \tabularnewline
0.96 & 988.262546503935 & 23.9359318758787 \tabularnewline
0.97 & 1004.66070217439 & 26.7462815075389 \tabularnewline
0.98 & 1021.8392103571 & 23.7726985676834 \tabularnewline
0.99 & 1034.88259291696 & 12.2958623551788 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=123792&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]663.414514987186[/C][C]22.232098137196[/C][/ROW]
[ROW][C]0.02[/C][C]682.698107983014[/C][C]22.2261841591737[/C][/ROW]
[ROW][C]0.03[/C][C]699.214835634914[/C][C]18.5350341293407[/C][/ROW]
[ROW][C]0.04[/C][C]711.388217120959[/C][C]15.4877757318808[/C][/ROW]
[ROW][C]0.05[/C][C]720.350755731172[/C][C]13.4570035780356[/C][/ROW]
[ROW][C]0.06[/C][C]727.132779837338[/C][C]11.2435028137277[/C][/ROW]
[ROW][C]0.07[/C][C]732.240302613336[/C][C]8.80208224906969[/C][/ROW]
[ROW][C]0.08[/C][C]736.01768905038[/C][C]6.78356113129598[/C][/ROW]
[ROW][C]0.09[/C][C]738.879895046284[/C][C]5.79545810838076[/C][/ROW]
[ROW][C]0.1[/C][C]741.28995888591[/C][C]6.00525534920199[/C][/ROW]
[ROW][C]0.11[/C][C]743.642708045452[/C][C]7.01588159451557[/C][/ROW]
[ROW][C]0.12[/C][C]746.180163844687[/C][C]8.25313354367536[/C][/ROW]
[ROW][C]0.13[/C][C]748.976937512475[/C][C]9.28939829963699[/C][/ROW]
[ROW][C]0.14[/C][C]751.982688391627[/C][C]9.91858708239568[/C][/ROW]
[ROW][C]0.15[/C][C]755.089071000522[/C][C]10.1390864755973[/C][/ROW]
[ROW][C]0.16[/C][C]758.188836004684[/C][C]10.0811604113029[/C][/ROW]
[ROW][C]0.17[/C][C]761.208040651357[/C][C]9.89701682312142[/C][/ROW]
[ROW][C]0.18[/C][C]764.110101959077[/C][C]9.68153227064702[/C][/ROW]
[ROW][C]0.19[/C][C]766.883298804854[/C][C]9.45322108265169[/C][/ROW]
[ROW][C]0.2[/C][C]769.526317829616[/C][C]9.19409330887219[/C][/ROW]
[ROW][C]0.21[/C][C]772.041106153899[/C][C]8.89785291316278[/C][/ROW]
[ROW][C]0.22[/C][C]774.434165480954[/C][C]8.59970359559065[/C][/ROW]
[ROW][C]0.23[/C][C]776.721688771553[/C][C]8.37097858709783[/C][/ROW]
[ROW][C]0.24[/C][C]778.932762315642[/C][C]8.28849489717485[/C][/ROW]
[ROW][C]0.25[/C][C]781.107304939402[/C][C]8.39814223507824[/C][/ROW]
[ROW][C]0.26[/C][C]783.289066311768[/C][C]8.69504669397695[/C][/ROW]
[ROW][C]0.27[/C][C]785.516656263338[/C][C]9.12352528308885[/C][/ROW]
[ROW][C]0.28[/C][C]787.816201578737[/C][C]9.60631988649388[/C][/ROW]
[ROW][C]0.29[/C][C]790.198045869958[/C][C]10.0699663749012[/C][/ROW]
[ROW][C]0.3[/C][C]792.657898409713[/C][C]10.4622976042024[/C][/ROW]
[ROW][C]0.31[/C][C]795.181088747767[/C][C]10.7628976117494[/C][/ROW]
[ROW][C]0.32[/C][C]797.747798528563[/C][C]10.9676450861877[/C][/ROW]
[ROW][C]0.33[/C][C]800.337430198757[/C][C]11.089754873401[/C][/ROW]
[ROW][C]0.34[/C][C]802.931243872493[/C][C]11.1411109416208[/C][/ROW]
[ROW][C]0.35[/C][C]805.513443043866[/C][C]11.1307099024443[/C][/ROW]
[ROW][C]0.36[/C][C]808.07151403725[/C][C]11.0671693617464[/C][/ROW]
[ROW][C]0.37[/C][C]810.596628839587[/C][C]10.9633961519373[/C][/ROW]
[ROW][C]0.38[/C][C]813.084447052288[/C][C]10.8386076075678[/C][/ROW]
[ROW][C]0.39[/C][C]815.53604466348[/C][C]10.7240576659732[/C][/ROW]
[ROW][C]0.4[/C][C]817.958304046361[/C][C]10.6512137218877[/C][/ROW]
[ROW][C]0.41[/C][C]820.363110702901[/C][C]10.6465113942022[/C][/ROW]
[ROW][C]0.42[/C][C]822.765088511674[/C][C]10.7191932458059[/C][/ROW]
[ROW][C]0.43[/C][C]825.178168976985[/C][C]10.8578737740999[/C][/ROW]
[ROW][C]0.44[/C][C]827.611780026277[/C][C]11.0264004114313[/C][/ROW]
[ROW][C]0.45[/C][C]830.067664857761[/C][C]11.1801638436234[/C][/ROW]
[ROW][C]0.46[/C][C]832.538232772956[/C][C]11.2665466097355[/C][/ROW]
[ROW][C]0.47[/C][C]835.006957120107[/C][C]11.2452479182087[/C][/ROW]
[ROW][C]0.48[/C][C]837.450806953384[/C][C]11.0911322861627[/C][/ROW]
[ROW][C]0.49[/C][C]839.844191159044[/C][C]10.8027957585795[/C][/ROW]
[ROW][C]0.5[/C][C]842.163547818509[/C][C]10.4005189296513[/C][/ROW]
[ROW][C]0.51[/C][C]844.391614736612[/C][C]9.92504749249733[/C][/ROW]
[ROW][C]0.52[/C][C]846.520582213591[/C][C]9.43076796381888[/C][/ROW]
[ROW][C]0.53[/C][C]848.553688051795[/C][C]8.97352422948756[/C][/ROW]
[ROW][C]0.54[/C][C]850.505233547792[/C][C]8.60597237182511[/C][/ROW]
[ROW][C]0.55[/C][C]852.399322133057[/C][C]8.37028014888535[/C][/ROW]
[ROW][C]0.56[/C][C]854.26773618548[/C][C]8.29578372658501[/C][/ROW]
[ROW][C]0.57[/C][C]856.147259269647[/C][C]8.39885691091361[/C][/ROW]
[ROW][C]0.58[/C][C]858.076524420392[/C][C]8.6814739403501[/C][/ROW]
[ROW][C]0.59[/C][C]860.092300765451[/C][C]9.12766587538632[/C][/ROW]
[ROW][C]0.6[/C][C]862.225179029456[/C][C]9.69981474201371[/C][/ROW]
[ROW][C]0.61[/C][C]864.494926497182[/C][C]10.3366743278716[/C][/ROW]
[ROW][C]0.62[/C][C]866.906241778281[/C][C]10.9574882089484[/C][/ROW]
[ROW][C]0.63[/C][C]869.446016855119[/C][C]11.4711327419408[/C][/ROW]
[ROW][C]0.64[/C][C]872.083262170048[/C][C]11.7970987415989[/C][/ROW]
[ROW][C]0.65[/C][C]874.772435260442[/C][C]11.8770311330604[/C][/ROW]
[ROW][C]0.66[/C][C]877.460093876481[/C][C]11.6899285405069[/C][/ROW]
[ROW][C]0.67[/C][C]880.093820853791[/C][C]11.2600084040751[/C][/ROW]
[ROW][C]0.68[/C][C]882.631591343792[/C][C]10.6538127536568[/C][/ROW]
[ROW][C]0.69[/C][C]885.049483414534[/C][C]9.96868952806643[/C][/ROW]
[ROW][C]0.7[/C][C]887.346003359002[/C][C]9.31478652729142[/C][/ROW]
[ROW][C]0.71[/C][C]889.542190716867[/C][C]8.79504104750157[/C][/ROW]
[ROW][C]0.72[/C][C]891.677751784071[/C][C]8.48413725984587[/C][/ROW]
[ROW][C]0.73[/C][C]893.804335555542[/C][C]8.41549055234581[/C][/ROW]
[ROW][C]0.74[/C][C]895.97742758976[/C][C]8.5818737193594[/C][/ROW]
[ROW][C]0.75[/C][C]898.248188722924[/C][C]8.9401087853388[/C][/ROW]
[ROW][C]0.76[/C][C]900.656179922626[/C][C]9.42310445214689[/C][/ROW]
[ROW][C]0.77[/C][C]903.223654432186[/C][C]9.94784176820187[/C][/ROW]
[ROW][C]0.78[/C][C]905.95213431175[/C][C]10.4240153542664[/C][/ROW]
[ROW][C]0.79[/C][C]908.822132872596[/C][C]10.7663668025513[/C][/ROW]
[ROW][C]0.8[/C][C]911.796710539203[/C][C]10.9140233816806[/C][/ROW]
[ROW][C]0.81[/C][C]914.828762999876[/C][C]10.8445307556629[/C][/ROW]
[ROW][C]0.82[/C][C]917.870722192577[/C][C]10.5782498796672[/C][/ROW]
[ROW][C]0.83[/C][C]920.884387379208[/C][C]10.172679203259[/C][/ROW]
[ROW][C]0.84[/C][C]923.848672125248[/C][C]9.70501438671949[/C][/ROW]
[ROW][C]0.85[/C][C]926.764403738851[/C][C]9.25457830038534[/C][/ROW]
[ROW][C]0.86[/C][C]929.657203565135[/C][C]8.89379740372003[/C][/ROW]
[ROW][C]0.87[/C][C]932.580261618478[/C][C]8.69230048122794[/C][/ROW]
[ROW][C]0.88[/C][C]935.61706120933[/C][C]8.7253168055789[/C][/ROW]
[ROW][C]0.89[/C][C]938.880901916691[/C][C]9.06431004522205[/C][/ROW]
[ROW][C]0.9[/C][C]942.50880100755[/C][C]9.72791530214814[/C][/ROW]
[ROW][C]0.91[/C][C]946.658312626594[/C][C]10.6538464087796[/C][/ROW]
[ROW][C]0.92[/C][C]951.532969271186[/C][C]11.7949938127124[/C][/ROW]
[ROW][C]0.93[/C][C]957.461868637367[/C][C]13.3439610870513[/C][/ROW]
[ROW][C]0.94[/C][C]965.011580206134[/C][C]15.7993214277595[/C][/ROW]
[ROW][C]0.95[/C][C]975.011487133956[/C][C]19.521796207704[/C][/ROW]
[ROW][C]0.96[/C][C]988.262546503935[/C][C]23.9359318758787[/C][/ROW]
[ROW][C]0.97[/C][C]1004.66070217439[/C][C]26.7462815075389[/C][/ROW]
[ROW][C]0.98[/C][C]1021.8392103571[/C][C]23.7726985676834[/C][/ROW]
[ROW][C]0.99[/C][C]1034.88259291696[/C][C]12.2958623551788[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=123792&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=123792&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
0.01663.41451498718622.232098137196
0.02682.69810798301422.2261841591737
0.03699.21483563491418.5350341293407
0.04711.38821712095915.4877757318808
0.05720.35075573117213.4570035780356
0.06727.13277983733811.2435028137277
0.07732.2403026133368.80208224906969
0.08736.017689050386.78356113129598
0.09738.8798950462845.79545810838076
0.1741.289958885916.00525534920199
0.11743.6427080454527.01588159451557
0.12746.1801638446878.25313354367536
0.13748.9769375124759.28939829963699
0.14751.9826883916279.91858708239568
0.15755.08907100052210.1390864755973
0.16758.18883600468410.0811604113029
0.17761.2080406513579.89701682312142
0.18764.1101019590779.68153227064702
0.19766.8832988048549.45322108265169
0.2769.5263178296169.19409330887219
0.21772.0411061538998.89785291316278
0.22774.4341654809548.59970359559065
0.23776.7216887715538.37097858709783
0.24778.9327623156428.28849489717485
0.25781.1073049394028.39814223507824
0.26783.2890663117688.69504669397695
0.27785.5166562633389.12352528308885
0.28787.8162015787379.60631988649388
0.29790.19804586995810.0699663749012
0.3792.65789840971310.4622976042024
0.31795.18108874776710.7628976117494
0.32797.74779852856310.9676450861877
0.33800.33743019875711.089754873401
0.34802.93124387249311.1411109416208
0.35805.51344304386611.1307099024443
0.36808.0715140372511.0671693617464
0.37810.59662883958710.9633961519373
0.38813.08444705228810.8386076075678
0.39815.5360446634810.7240576659732
0.4817.95830404636110.6512137218877
0.41820.36311070290110.6465113942022
0.42822.76508851167410.7191932458059
0.43825.17816897698510.8578737740999
0.44827.61178002627711.0264004114313
0.45830.06766485776111.1801638436234
0.46832.53823277295611.2665466097355
0.47835.00695712010711.2452479182087
0.48837.45080695338411.0911322861627
0.49839.84419115904410.8027957585795
0.5842.16354781850910.4005189296513
0.51844.3916147366129.92504749249733
0.52846.5205822135919.43076796381888
0.53848.5536880517958.97352422948756
0.54850.5052335477928.60597237182511
0.55852.3993221330578.37028014888535
0.56854.267736185488.29578372658501
0.57856.1472592696478.39885691091361
0.58858.0765244203928.6814739403501
0.59860.0923007654519.12766587538632
0.6862.2251790294569.69981474201371
0.61864.49492649718210.3366743278716
0.62866.90624177828110.9574882089484
0.63869.44601685511911.4711327419408
0.64872.08326217004811.7970987415989
0.65874.77243526044211.8770311330604
0.66877.46009387648111.6899285405069
0.67880.09382085379111.2600084040751
0.68882.63159134379210.6538127536568
0.69885.0494834145349.96868952806643
0.7887.3460033590029.31478652729142
0.71889.5421907168678.79504104750157
0.72891.6777517840718.48413725984587
0.73893.8043355555428.41549055234581
0.74895.977427589768.5818737193594
0.75898.2481887229248.9401087853388
0.76900.6561799226269.42310445214689
0.77903.2236544321869.94784176820187
0.78905.9521343117510.4240153542664
0.79908.82213287259610.7663668025513
0.8911.79671053920310.9140233816806
0.81914.82876299987610.8445307556629
0.82917.87072219257710.5782498796672
0.83920.88438737920810.172679203259
0.84923.8486721252489.70501438671949
0.85926.7644037388519.25457830038534
0.86929.6572035651358.89379740372003
0.87932.5802616184788.69230048122794
0.88935.617061209338.7253168055789
0.89938.8809019166919.06431004522205
0.9942.508801007559.72791530214814
0.91946.65831262659410.6538464087796
0.92951.53296927118611.7949938127124
0.93957.46186863736713.3439610870513
0.94965.01158020613415.7993214277595
0.95975.01148713395619.521796207704
0.96988.26254650393523.9359318758787
0.971004.6607021743926.7462815075389
0.981021.839210357123.7726985676834
0.991034.8825929169612.2958623551788


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')