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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 10 Nov 2007 10:22:06 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Nov/10/t1194715073ebqbvz4f773vyw4.htm/, Retrieved Tue, 30 Apr 2024 03:35:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=5060, Retrieved Tue, 30 Apr 2024 03:35:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsConsumptiegoederen , Niet-duurzame consumptiegoederen
Estimated Impact189

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] [Paper Harell – Da...] [2007-11-10 17:22:06] [d06427f3e67cec1f6334fc93f511b0b4] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
125
121,7
134,3
124,3
119,1
137,8
120,5
122,7
127,2
133,2
136,3
134,9
120,9
109,4
129,6
124,7
114,6
137,4
117,9
117,4
122
124,8
123,3
132,8
115,1
104,2
125,5
116,8
116,8
125,5
110,9
114,9
136,4
125,8
126,5
134
116,1
115
130,3
106,5
111,6
125
108,3
105
127,4
116,6
128,6
127,5
108,4
110,8
114,2
101,8
109,8
115,9
106,9
114,6
105,4
108,1
118,4
112,7
98,4
99,6
103,9
101,5
100,8
104,5
98,2
99,9
97,5
105,7
117,7
107,4
98,4
92
107,7
100,2
96,7
106,8
98
98,6

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=5060&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=5060&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=5060&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0193.42508532466463.53156715903411
0.0295.2026334050152.19679567144506
0.0396.5465563783711.27015786631598
0.0497.36407026028760.798776454535938
0.0597.84644514667410.610594996443992
0.0698.1701808359370.581164966473984
0.0798.43792292052180.650876520696047
0.0898.70207458636270.780201774740264
0.0998.9886769575290.93920345593566
0.199.30961473288271.10827814959177
0.1199.66861150252571.27720801742013
0.12100.0647777778361.44118985179727
0.13100.4947466954151.59635267683684
0.14100.9536406808621.73641910155126
0.15101.4352648125821.85268173750915
0.16101.9321005905931.9359849906376
0.17102.4355690309071.97971818495729
0.18102.9367242348561.98305840520807
0.19103.4272305757651.95040134057987
0.2103.9003182102841.89112179851252
0.21104.3514354832991.81629357899459
0.22104.7784611632541.73693908451762
0.23105.1815080993451.66201589704206
0.24105.5624661963301.59775986802134
0.25105.9244655477431.54795889580308
0.26106.2714022295601.51485849501874
0.27106.6075953884491.5000080764084
0.28106.9375722485661.50479456839265
0.29107.2659317670891.53021998339768
0.3107.5972247469531.57711754677143
0.31107.9358016347851.64458842994969
0.32108.2856062636561.73043811822887
0.33108.6499222485641.83075258808427
0.34109.0311006189891.93998525902116
0.35109.4303093890722.05090615808767
0.36109.8473483651262.15646415539521
0.37110.2805673240282.24842068795861
0.38110.7269145928952.31958572543849
0.39111.182127431572.36413798070894
0.4111.6410567957762.37803364186758
0.41112.0980989829922.35985604508126
0.42112.5476883456252.31105837163195
0.43112.9847925523092.23544554980048
0.44113.4053484991962.13940702214070
0.45113.8065850642202.03080205595743
0.46114.1871978173831.91817069989397
0.47114.5473667406001.80993147018501
0.48114.8886347897871.71342365878331
0.49115.2136859923881.63402287383517
0.5115.5260715611531.57576661429262
0.51115.8299293954091.54084013398834
0.52116.1297284483201.53011553127029
0.53116.4300500630871.54331206470077
0.54116.7354001863641.57952774686843
0.55117.0500351529621.63708393292717
0.56117.3777825907851.71317158298429
0.57117.7218474339681.80407479307801
0.58118.0846073565011.90453826082802
0.59118.4674166418532.00813411708943
0.6118.8704472218272.10827599120444
0.61119.2925969631452.19773055183986
0.62119.7314879455732.2699813168495
0.63120.1835642169982.31944880539752
0.64120.6442839917382.34205335682062
0.65121.1083901461282.33526525164198
0.66121.5702378998462.29863291513999
0.67122.0241594129022.23306816834984
0.68122.4648484607922.14138778732991
0.69122.8877498867782.02825180925410
0.7123.2894348293251.89958087858662
0.71123.6679337602921.76286426390199
0.72124.0229892649371.62676786398211
0.73124.3561863449621.50065443532094
0.74124.6709269106461.39339965895589
0.75124.9722402776101.31292940314094
0.76125.2664591286871.2647142897293
0.77125.5608288489941.25112489083603
0.78125.8631401246911.27173280139456
0.79126.1814631173291.3240295377094
0.8126.5240075367271.40549808344695
0.81126.8990439795881.51420182280824
0.82127.3147263638631.64841753341949
0.83127.7786000717391.8049536146028
0.84128.2966186122941.97623676905296
0.85128.8716597508892.14787009213855
0.86129.5018203174772.29878195344492
0.87130.1790939572862.40342147095908
0.88130.889233936412.43754519613826
0.89131.6134667296432.38634701030823
0.9132.3321066741672.25244138352181
0.91133.0291145835792.05783205006857
0.92133.6957200061851.83960041360499
0.93134.33119131751.63417236065075
0.94134.9402569053181.45798841054085
0.95135.5288513285151.30050625014628
0.96136.100363351521.14296153064433
0.97136.6512750116620.97731823254801
0.98137.1606278202270.786572666448651
0.99137.5725657357440.556047556939353

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 93.4250853246646 & 3.53156715903411 \tabularnewline
0.02 & 95.202633405015 & 2.19679567144506 \tabularnewline
0.03 & 96.546556378371 & 1.27015786631598 \tabularnewline
0.04 & 97.3640702602876 & 0.798776454535938 \tabularnewline
0.05 & 97.8464451466741 & 0.610594996443992 \tabularnewline
0.06 & 98.170180835937 & 0.581164966473984 \tabularnewline
0.07 & 98.4379229205218 & 0.650876520696047 \tabularnewline
0.08 & 98.7020745863627 & 0.780201774740264 \tabularnewline
0.09 & 98.988676957529 & 0.93920345593566 \tabularnewline
0.1 & 99.3096147328827 & 1.10827814959177 \tabularnewline
0.11 & 99.6686115025257 & 1.27720801742013 \tabularnewline
0.12 & 100.064777777836 & 1.44118985179727 \tabularnewline
0.13 & 100.494746695415 & 1.59635267683684 \tabularnewline
0.14 & 100.953640680862 & 1.73641910155126 \tabularnewline
0.15 & 101.435264812582 & 1.85268173750915 \tabularnewline
0.16 & 101.932100590593 & 1.9359849906376 \tabularnewline
0.17 & 102.435569030907 & 1.97971818495729 \tabularnewline
0.18 & 102.936724234856 & 1.98305840520807 \tabularnewline
0.19 & 103.427230575765 & 1.95040134057987 \tabularnewline
0.2 & 103.900318210284 & 1.89112179851252 \tabularnewline
0.21 & 104.351435483299 & 1.81629357899459 \tabularnewline
0.22 & 104.778461163254 & 1.73693908451762 \tabularnewline
0.23 & 105.181508099345 & 1.66201589704206 \tabularnewline
0.24 & 105.562466196330 & 1.59775986802134 \tabularnewline
0.25 & 105.924465547743 & 1.54795889580308 \tabularnewline
0.26 & 106.271402229560 & 1.51485849501874 \tabularnewline
0.27 & 106.607595388449 & 1.5000080764084 \tabularnewline
0.28 & 106.937572248566 & 1.50479456839265 \tabularnewline
0.29 & 107.265931767089 & 1.53021998339768 \tabularnewline
0.3 & 107.597224746953 & 1.57711754677143 \tabularnewline
0.31 & 107.935801634785 & 1.64458842994969 \tabularnewline
0.32 & 108.285606263656 & 1.73043811822887 \tabularnewline
0.33 & 108.649922248564 & 1.83075258808427 \tabularnewline
0.34 & 109.031100618989 & 1.93998525902116 \tabularnewline
0.35 & 109.430309389072 & 2.05090615808767 \tabularnewline
0.36 & 109.847348365126 & 2.15646415539521 \tabularnewline
0.37 & 110.280567324028 & 2.24842068795861 \tabularnewline
0.38 & 110.726914592895 & 2.31958572543849 \tabularnewline
0.39 & 111.18212743157 & 2.36413798070894 \tabularnewline
0.4 & 111.641056795776 & 2.37803364186758 \tabularnewline
0.41 & 112.098098982992 & 2.35985604508126 \tabularnewline
0.42 & 112.547688345625 & 2.31105837163195 \tabularnewline
0.43 & 112.984792552309 & 2.23544554980048 \tabularnewline
0.44 & 113.405348499196 & 2.13940702214070 \tabularnewline
0.45 & 113.806585064220 & 2.03080205595743 \tabularnewline
0.46 & 114.187197817383 & 1.91817069989397 \tabularnewline
0.47 & 114.547366740600 & 1.80993147018501 \tabularnewline
0.48 & 114.888634789787 & 1.71342365878331 \tabularnewline
0.49 & 115.213685992388 & 1.63402287383517 \tabularnewline
0.5 & 115.526071561153 & 1.57576661429262 \tabularnewline
0.51 & 115.829929395409 & 1.54084013398834 \tabularnewline
0.52 & 116.129728448320 & 1.53011553127029 \tabularnewline
0.53 & 116.430050063087 & 1.54331206470077 \tabularnewline
0.54 & 116.735400186364 & 1.57952774686843 \tabularnewline
0.55 & 117.050035152962 & 1.63708393292717 \tabularnewline
0.56 & 117.377782590785 & 1.71317158298429 \tabularnewline
0.57 & 117.721847433968 & 1.80407479307801 \tabularnewline
0.58 & 118.084607356501 & 1.90453826082802 \tabularnewline
0.59 & 118.467416641853 & 2.00813411708943 \tabularnewline
0.6 & 118.870447221827 & 2.10827599120444 \tabularnewline
0.61 & 119.292596963145 & 2.19773055183986 \tabularnewline
0.62 & 119.731487945573 & 2.2699813168495 \tabularnewline
0.63 & 120.183564216998 & 2.31944880539752 \tabularnewline
0.64 & 120.644283991738 & 2.34205335682062 \tabularnewline
0.65 & 121.108390146128 & 2.33526525164198 \tabularnewline
0.66 & 121.570237899846 & 2.29863291513999 \tabularnewline
0.67 & 122.024159412902 & 2.23306816834984 \tabularnewline
0.68 & 122.464848460792 & 2.14138778732991 \tabularnewline
0.69 & 122.887749886778 & 2.02825180925410 \tabularnewline
0.7 & 123.289434829325 & 1.89958087858662 \tabularnewline
0.71 & 123.667933760292 & 1.76286426390199 \tabularnewline
0.72 & 124.022989264937 & 1.62676786398211 \tabularnewline
0.73 & 124.356186344962 & 1.50065443532094 \tabularnewline
0.74 & 124.670926910646 & 1.39339965895589 \tabularnewline
0.75 & 124.972240277610 & 1.31292940314094 \tabularnewline
0.76 & 125.266459128687 & 1.2647142897293 \tabularnewline
0.77 & 125.560828848994 & 1.25112489083603 \tabularnewline
0.78 & 125.863140124691 & 1.27173280139456 \tabularnewline
0.79 & 126.181463117329 & 1.3240295377094 \tabularnewline
0.8 & 126.524007536727 & 1.40549808344695 \tabularnewline
0.81 & 126.899043979588 & 1.51420182280824 \tabularnewline
0.82 & 127.314726363863 & 1.64841753341949 \tabularnewline
0.83 & 127.778600071739 & 1.8049536146028 \tabularnewline
0.84 & 128.296618612294 & 1.97623676905296 \tabularnewline
0.85 & 128.871659750889 & 2.14787009213855 \tabularnewline
0.86 & 129.501820317477 & 2.29878195344492 \tabularnewline
0.87 & 130.179093957286 & 2.40342147095908 \tabularnewline
0.88 & 130.88923393641 & 2.43754519613826 \tabularnewline
0.89 & 131.613466729643 & 2.38634701030823 \tabularnewline
0.9 & 132.332106674167 & 2.25244138352181 \tabularnewline
0.91 & 133.029114583579 & 2.05783205006857 \tabularnewline
0.92 & 133.695720006185 & 1.83960041360499 \tabularnewline
0.93 & 134.3311913175 & 1.63417236065075 \tabularnewline
0.94 & 134.940256905318 & 1.45798841054085 \tabularnewline
0.95 & 135.528851328515 & 1.30050625014628 \tabularnewline
0.96 & 136.10036335152 & 1.14296153064433 \tabularnewline
0.97 & 136.651275011662 & 0.97731823254801 \tabularnewline
0.98 & 137.160627820227 & 0.786572666448651 \tabularnewline
0.99 & 137.572565735744 & 0.556047556939353 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=5060&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]93.4250853246646[/C][C]3.53156715903411[/C][/ROW]
[ROW][C]0.02[/C][C]95.202633405015[/C][C]2.19679567144506[/C][/ROW]
[ROW][C]0.03[/C][C]96.546556378371[/C][C]1.27015786631598[/C][/ROW]
[ROW][C]0.04[/C][C]97.3640702602876[/C][C]0.798776454535938[/C][/ROW]
[ROW][C]0.05[/C][C]97.8464451466741[/C][C]0.610594996443992[/C][/ROW]
[ROW][C]0.06[/C][C]98.170180835937[/C][C]0.581164966473984[/C][/ROW]
[ROW][C]0.07[/C][C]98.4379229205218[/C][C]0.650876520696047[/C][/ROW]
[ROW][C]0.08[/C][C]98.7020745863627[/C][C]0.780201774740264[/C][/ROW]
[ROW][C]0.09[/C][C]98.988676957529[/C][C]0.93920345593566[/C][/ROW]
[ROW][C]0.1[/C][C]99.3096147328827[/C][C]1.10827814959177[/C][/ROW]
[ROW][C]0.11[/C][C]99.6686115025257[/C][C]1.27720801742013[/C][/ROW]
[ROW][C]0.12[/C][C]100.064777777836[/C][C]1.44118985179727[/C][/ROW]
[ROW][C]0.13[/C][C]100.494746695415[/C][C]1.59635267683684[/C][/ROW]
[ROW][C]0.14[/C][C]100.953640680862[/C][C]1.73641910155126[/C][/ROW]
[ROW][C]0.15[/C][C]101.435264812582[/C][C]1.85268173750915[/C][/ROW]
[ROW][C]0.16[/C][C]101.932100590593[/C][C]1.9359849906376[/C][/ROW]
[ROW][C]0.17[/C][C]102.435569030907[/C][C]1.97971818495729[/C][/ROW]
[ROW][C]0.18[/C][C]102.936724234856[/C][C]1.98305840520807[/C][/ROW]
[ROW][C]0.19[/C][C]103.427230575765[/C][C]1.95040134057987[/C][/ROW]
[ROW][C]0.2[/C][C]103.900318210284[/C][C]1.89112179851252[/C][/ROW]
[ROW][C]0.21[/C][C]104.351435483299[/C][C]1.81629357899459[/C][/ROW]
[ROW][C]0.22[/C][C]104.778461163254[/C][C]1.73693908451762[/C][/ROW]
[ROW][C]0.23[/C][C]105.181508099345[/C][C]1.66201589704206[/C][/ROW]
[ROW][C]0.24[/C][C]105.562466196330[/C][C]1.59775986802134[/C][/ROW]
[ROW][C]0.25[/C][C]105.924465547743[/C][C]1.54795889580308[/C][/ROW]
[ROW][C]0.26[/C][C]106.271402229560[/C][C]1.51485849501874[/C][/ROW]
[ROW][C]0.27[/C][C]106.607595388449[/C][C]1.5000080764084[/C][/ROW]
[ROW][C]0.28[/C][C]106.937572248566[/C][C]1.50479456839265[/C][/ROW]
[ROW][C]0.29[/C][C]107.265931767089[/C][C]1.53021998339768[/C][/ROW]
[ROW][C]0.3[/C][C]107.597224746953[/C][C]1.57711754677143[/C][/ROW]
[ROW][C]0.31[/C][C]107.935801634785[/C][C]1.64458842994969[/C][/ROW]
[ROW][C]0.32[/C][C]108.285606263656[/C][C]1.73043811822887[/C][/ROW]
[ROW][C]0.33[/C][C]108.649922248564[/C][C]1.83075258808427[/C][/ROW]
[ROW][C]0.34[/C][C]109.031100618989[/C][C]1.93998525902116[/C][/ROW]
[ROW][C]0.35[/C][C]109.430309389072[/C][C]2.05090615808767[/C][/ROW]
[ROW][C]0.36[/C][C]109.847348365126[/C][C]2.15646415539521[/C][/ROW]
[ROW][C]0.37[/C][C]110.280567324028[/C][C]2.24842068795861[/C][/ROW]
[ROW][C]0.38[/C][C]110.726914592895[/C][C]2.31958572543849[/C][/ROW]
[ROW][C]0.39[/C][C]111.18212743157[/C][C]2.36413798070894[/C][/ROW]
[ROW][C]0.4[/C][C]111.641056795776[/C][C]2.37803364186758[/C][/ROW]
[ROW][C]0.41[/C][C]112.098098982992[/C][C]2.35985604508126[/C][/ROW]
[ROW][C]0.42[/C][C]112.547688345625[/C][C]2.31105837163195[/C][/ROW]
[ROW][C]0.43[/C][C]112.984792552309[/C][C]2.23544554980048[/C][/ROW]
[ROW][C]0.44[/C][C]113.405348499196[/C][C]2.13940702214070[/C][/ROW]
[ROW][C]0.45[/C][C]113.806585064220[/C][C]2.03080205595743[/C][/ROW]
[ROW][C]0.46[/C][C]114.187197817383[/C][C]1.91817069989397[/C][/ROW]
[ROW][C]0.47[/C][C]114.547366740600[/C][C]1.80993147018501[/C][/ROW]
[ROW][C]0.48[/C][C]114.888634789787[/C][C]1.71342365878331[/C][/ROW]
[ROW][C]0.49[/C][C]115.213685992388[/C][C]1.63402287383517[/C][/ROW]
[ROW][C]0.5[/C][C]115.526071561153[/C][C]1.57576661429262[/C][/ROW]
[ROW][C]0.51[/C][C]115.829929395409[/C][C]1.54084013398834[/C][/ROW]
[ROW][C]0.52[/C][C]116.129728448320[/C][C]1.53011553127029[/C][/ROW]
[ROW][C]0.53[/C][C]116.430050063087[/C][C]1.54331206470077[/C][/ROW]
[ROW][C]0.54[/C][C]116.735400186364[/C][C]1.57952774686843[/C][/ROW]
[ROW][C]0.55[/C][C]117.050035152962[/C][C]1.63708393292717[/C][/ROW]
[ROW][C]0.56[/C][C]117.377782590785[/C][C]1.71317158298429[/C][/ROW]
[ROW][C]0.57[/C][C]117.721847433968[/C][C]1.80407479307801[/C][/ROW]
[ROW][C]0.58[/C][C]118.084607356501[/C][C]1.90453826082802[/C][/ROW]
[ROW][C]0.59[/C][C]118.467416641853[/C][C]2.00813411708943[/C][/ROW]
[ROW][C]0.6[/C][C]118.870447221827[/C][C]2.10827599120444[/C][/ROW]
[ROW][C]0.61[/C][C]119.292596963145[/C][C]2.19773055183986[/C][/ROW]
[ROW][C]0.62[/C][C]119.731487945573[/C][C]2.2699813168495[/C][/ROW]
[ROW][C]0.63[/C][C]120.183564216998[/C][C]2.31944880539752[/C][/ROW]
[ROW][C]0.64[/C][C]120.644283991738[/C][C]2.34205335682062[/C][/ROW]
[ROW][C]0.65[/C][C]121.108390146128[/C][C]2.33526525164198[/C][/ROW]
[ROW][C]0.66[/C][C]121.570237899846[/C][C]2.29863291513999[/C][/ROW]
[ROW][C]0.67[/C][C]122.024159412902[/C][C]2.23306816834984[/C][/ROW]
[ROW][C]0.68[/C][C]122.464848460792[/C][C]2.14138778732991[/C][/ROW]
[ROW][C]0.69[/C][C]122.887749886778[/C][C]2.02825180925410[/C][/ROW]
[ROW][C]0.7[/C][C]123.289434829325[/C][C]1.89958087858662[/C][/ROW]
[ROW][C]0.71[/C][C]123.667933760292[/C][C]1.76286426390199[/C][/ROW]
[ROW][C]0.72[/C][C]124.022989264937[/C][C]1.62676786398211[/C][/ROW]
[ROW][C]0.73[/C][C]124.356186344962[/C][C]1.50065443532094[/C][/ROW]
[ROW][C]0.74[/C][C]124.670926910646[/C][C]1.39339965895589[/C][/ROW]
[ROW][C]0.75[/C][C]124.972240277610[/C][C]1.31292940314094[/C][/ROW]
[ROW][C]0.76[/C][C]125.266459128687[/C][C]1.2647142897293[/C][/ROW]
[ROW][C]0.77[/C][C]125.560828848994[/C][C]1.25112489083603[/C][/ROW]
[ROW][C]0.78[/C][C]125.863140124691[/C][C]1.27173280139456[/C][/ROW]
[ROW][C]0.79[/C][C]126.181463117329[/C][C]1.3240295377094[/C][/ROW]
[ROW][C]0.8[/C][C]126.524007536727[/C][C]1.40549808344695[/C][/ROW]
[ROW][C]0.81[/C][C]126.899043979588[/C][C]1.51420182280824[/C][/ROW]
[ROW][C]0.82[/C][C]127.314726363863[/C][C]1.64841753341949[/C][/ROW]
[ROW][C]0.83[/C][C]127.778600071739[/C][C]1.8049536146028[/C][/ROW]
[ROW][C]0.84[/C][C]128.296618612294[/C][C]1.97623676905296[/C][/ROW]
[ROW][C]0.85[/C][C]128.871659750889[/C][C]2.14787009213855[/C][/ROW]
[ROW][C]0.86[/C][C]129.501820317477[/C][C]2.29878195344492[/C][/ROW]
[ROW][C]0.87[/C][C]130.179093957286[/C][C]2.40342147095908[/C][/ROW]
[ROW][C]0.88[/C][C]130.88923393641[/C][C]2.43754519613826[/C][/ROW]
[ROW][C]0.89[/C][C]131.613466729643[/C][C]2.38634701030823[/C][/ROW]
[ROW][C]0.9[/C][C]132.332106674167[/C][C]2.25244138352181[/C][/ROW]
[ROW][C]0.91[/C][C]133.029114583579[/C][C]2.05783205006857[/C][/ROW]
[ROW][C]0.92[/C][C]133.695720006185[/C][C]1.83960041360499[/C][/ROW]
[ROW][C]0.93[/C][C]134.3311913175[/C][C]1.63417236065075[/C][/ROW]
[ROW][C]0.94[/C][C]134.940256905318[/C][C]1.45798841054085[/C][/ROW]
[ROW][C]0.95[/C][C]135.528851328515[/C][C]1.30050625014628[/C][/ROW]
[ROW][C]0.96[/C][C]136.10036335152[/C][C]1.14296153064433[/C][/ROW]
[ROW][C]0.97[/C][C]136.651275011662[/C][C]0.97731823254801[/C][/ROW]
[ROW][C]0.98[/C][C]137.160627820227[/C][C]0.786572666448651[/C][/ROW]
[ROW][C]0.99[/C][C]137.572565735744[/C][C]0.556047556939353[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=5060&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=5060&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
0.0193.42508532466463.53156715903411
0.0295.2026334050152.19679567144506
0.0396.5465563783711.27015786631598
0.0497.36407026028760.798776454535938
0.0597.84644514667410.610594996443992
0.0698.1701808359370.581164966473984
0.0798.43792292052180.650876520696047
0.0898.70207458636270.780201774740264
0.0998.9886769575290.93920345593566
0.199.30961473288271.10827814959177
0.1199.66861150252571.27720801742013
0.12100.0647777778361.44118985179727
0.13100.4947466954151.59635267683684
0.14100.9536406808621.73641910155126
0.15101.4352648125821.85268173750915
0.16101.9321005905931.9359849906376
0.17102.4355690309071.97971818495729
0.18102.9367242348561.98305840520807
0.19103.4272305757651.95040134057987
0.2103.9003182102841.89112179851252
0.21104.3514354832991.81629357899459
0.22104.7784611632541.73693908451762
0.23105.1815080993451.66201589704206
0.24105.5624661963301.59775986802134
0.25105.9244655477431.54795889580308
0.26106.2714022295601.51485849501874
0.27106.6075953884491.5000080764084
0.28106.9375722485661.50479456839265
0.29107.2659317670891.53021998339768
0.3107.5972247469531.57711754677143
0.31107.9358016347851.64458842994969
0.32108.2856062636561.73043811822887
0.33108.6499222485641.83075258808427
0.34109.0311006189891.93998525902116
0.35109.4303093890722.05090615808767
0.36109.8473483651262.15646415539521
0.37110.2805673240282.24842068795861
0.38110.7269145928952.31958572543849
0.39111.182127431572.36413798070894
0.4111.6410567957762.37803364186758
0.41112.0980989829922.35985604508126
0.42112.5476883456252.31105837163195
0.43112.9847925523092.23544554980048
0.44113.4053484991962.13940702214070
0.45113.8065850642202.03080205595743
0.46114.1871978173831.91817069989397
0.47114.5473667406001.80993147018501
0.48114.8886347897871.71342365878331
0.49115.2136859923881.63402287383517
0.5115.5260715611531.57576661429262
0.51115.8299293954091.54084013398834
0.52116.1297284483201.53011553127029
0.53116.4300500630871.54331206470077
0.54116.7354001863641.57952774686843
0.55117.0500351529621.63708393292717
0.56117.3777825907851.71317158298429
0.57117.7218474339681.80407479307801
0.58118.0846073565011.90453826082802
0.59118.4674166418532.00813411708943
0.6118.8704472218272.10827599120444
0.61119.2925969631452.19773055183986
0.62119.7314879455732.2699813168495
0.63120.1835642169982.31944880539752
0.64120.6442839917382.34205335682062
0.65121.1083901461282.33526525164198
0.66121.5702378998462.29863291513999
0.67122.0241594129022.23306816834984
0.68122.4648484607922.14138778732991
0.69122.8877498867782.02825180925410
0.7123.2894348293251.89958087858662
0.71123.6679337602921.76286426390199
0.72124.0229892649371.62676786398211
0.73124.3561863449621.50065443532094
0.74124.6709269106461.39339965895589
0.75124.9722402776101.31292940314094
0.76125.2664591286871.2647142897293
0.77125.5608288489941.25112489083603
0.78125.8631401246911.27173280139456
0.79126.1814631173291.3240295377094
0.8126.5240075367271.40549808344695
0.81126.8990439795881.51420182280824
0.82127.3147263638631.64841753341949
0.83127.7786000717391.8049536146028
0.84128.2966186122941.97623676905296
0.85128.8716597508892.14787009213855
0.86129.5018203174772.29878195344492
0.87130.1790939572862.40342147095908
0.88130.889233936412.43754519613826
0.89131.6134667296432.38634701030823
0.9132.3321066741672.25244138352181
0.91133.0291145835792.05783205006857
0.92133.6957200061851.83960041360499
0.93134.33119131751.63417236065075
0.94134.9402569053181.45798841054085
0.95135.5288513285151.30050625014628
0.96136.100363351521.14296153064433
0.97136.6512750116620.97731823254801
0.98137.1606278202270.786572666448651
0.99137.5725657357440.556047556939353


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')