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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 computationSat, 18 Feb 2012 08:11:34 -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/Feb/18/t13295709897em5memat3856ip.htm/, Retrieved Tue, 30 Apr 2024 07:03:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=162809, Retrieved Tue, 30 Apr 2024 07:03:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact181

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] [opgave 4 oef 2] [2012-02-18 13:11:34] [921480865c2f7a3cce0a5eeacc6bbad6] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
34.74
34.89
34.98
34.93
35.01
35.03
35.03
34.98
34.92
35.04
35.21
35.21
35.21
35.26
35.45
35.53
35.53
35.57
35.57
35.57
35.63
35.92
36.05
36.1
36.1
36.02
36.07
36.17
36.52
36.49
36.49
36.48
36.62
36.63
36.7
36.7
36.7
36.69
36.86
36.85
36.83
36.88
36.88
36.92
36.93
37.06
37.1
37.09
37.09
37.15
37.27
37.43
37.42
37.4
37.4
37.39
37.42
37.7
37.85
37.88

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162809&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162809&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162809&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0134.77201504655930.123929680193416
0.0234.81633839703420.0928272831720759
0.0334.85870801857890.0663736652600769
0.0434.89265753256070.0501316291663738
0.0534.91826777463230.0432223585693
0.0634.93814263546030.0418211946473912
0.0734.9548324740750.0428347790408828
0.0834.97007028200110.045186635675063
0.0934.9849085523940.0489654250158246
0.135.00003685347370.0546444354366357
0.1135.01599595048010.0624517469729012
0.1235.03325859136950.0723223061264004
0.1335.05222870952110.0837923785610235
0.1435.0732120341030.0962600621126216
0.1535.09639064797490.109072472205244
0.1635.12181470120970.12170916409042
0.1735.14941181427720.133705411715977
0.1835.17900857313580.144710542613945
0.1935.21035739611060.154533896985875
0.235.24316399486530.162977545699636
0.2135.27711359931870.169916033929417
0.2235.31189630748310.175308631019358
0.2335.34723237046690.179260760434523
0.2435.38289696548320.182116536497389
0.2535.41874193752840.184350320759668
0.2635.45471035103570.186583496112939
0.2735.49083949767940.18953202190885
0.2835.52724961001080.193732601201679
0.2935.56411852872960.199483856153723
0.335.60164600970490.206682775482361
0.3135.64001411901060.214984865873356
0.3235.67935137080420.223732358097398
0.3335.71970754219860.23225954909574
0.3435.76104366343460.239796482413759
0.3535.80323821627580.245897080869806
0.3635.84610700355780.250320774381884
0.3735.88943136957480.252914211962393
0.3835.93298808007150.254012721213075
0.3935.9765744357130.253930730053206
0.436.02002389776760.253103136078944
0.4136.06321012278960.251865793484213
0.4236.10604013973830.250382753021386
0.4336.148439781770.248755114495037
0.4436.19033590894770.24676967250002
0.4536.23164020911440.244204152253839
0.4636.27223852209150.240725100062295
0.4736.31198801921090.236027923354333
0.4836.35072264176480.229987968147864
0.4936.38826542131590.222507562106331
0.536.42444503222510.213721141097985
0.5136.45911335217940.203905853963919
0.5236.49216093547810.193348232716782
0.5336.52352799167390.182475864689206
0.5436.55320947849980.17170042008208
0.5536.58125401816590.16139081524657
0.5636.60775732799870.151849055428236
0.5736.63285159028560.143286089001934
0.5836.65669261581290.135819342588205
0.5936.67944677946460.129439483984209
0.636.70127955262740.124093947092071
0.6136.72234706610640.119667185898346
0.6236.74279155643940.116017372904347
0.6336.76274084169280.112910026359572
0.6436.7823112321840.110337407591313
0.6536.80161263215210.108202361539854
0.6636.82075417468730.106574868183004
0.6736.83984868455720.105485122430975
0.6836.85901465048060.105051017000667
0.6936.87837517068380.105295490115547
0.736.89805434137210.106227956722435
0.7136.9181724967710.107776775643358
0.7236.93884223520030.109828782135377
0.7336.96016698033090.112203522069436
0.7436.98224280498640.114805795581105
0.7537.00516253863860.11754812351132
0.7637.02901925831590.120438324825022
0.7737.05390484782010.123623876439349
0.7837.0798991923450.12709735363136
0.7937.10704733679170.130817565202633
0.837.13532565533120.134503451550943
0.8137.1646031368050.137586047175582
0.8237.19460898834790.139252279434287
0.8337.22492123373870.1386770617856
0.8437.25499134441320.135149383641603
0.8537.28421643591840.128289551919988
0.8637.31206340366840.118292470288913
0.8737.33823933346890.106105817223036
0.8837.36288992747510.0934014059806018
0.8937.38679148302570.0827754717800048
0.937.41148031656140.0778382762504101
0.9137.43923746108360.0823608019397545
0.9237.47282654661150.0979076058234462
0.9337.51489506233780.122084939642334
0.9437.56703176134570.14899340947989
0.9537.62865205758240.169923281578168
0.9637.69612692236550.17486446461041
0.9737.76274599119060.15616884519098
0.9837.82000816779190.114255672657719
0.9937.86025634404140.0629797284154984

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 34.7720150465593 & 0.123929680193416 \tabularnewline
0.02 & 34.8163383970342 & 0.0928272831720759 \tabularnewline
0.03 & 34.8587080185789 & 0.0663736652600769 \tabularnewline
0.04 & 34.8926575325607 & 0.0501316291663738 \tabularnewline
0.05 & 34.9182677746323 & 0.0432223585693 \tabularnewline
0.06 & 34.9381426354603 & 0.0418211946473912 \tabularnewline
0.07 & 34.954832474075 & 0.0428347790408828 \tabularnewline
0.08 & 34.9700702820011 & 0.045186635675063 \tabularnewline
0.09 & 34.984908552394 & 0.0489654250158246 \tabularnewline
0.1 & 35.0000368534737 & 0.0546444354366357 \tabularnewline
0.11 & 35.0159959504801 & 0.0624517469729012 \tabularnewline
0.12 & 35.0332585913695 & 0.0723223061264004 \tabularnewline
0.13 & 35.0522287095211 & 0.0837923785610235 \tabularnewline
0.14 & 35.073212034103 & 0.0962600621126216 \tabularnewline
0.15 & 35.0963906479749 & 0.109072472205244 \tabularnewline
0.16 & 35.1218147012097 & 0.12170916409042 \tabularnewline
0.17 & 35.1494118142772 & 0.133705411715977 \tabularnewline
0.18 & 35.1790085731358 & 0.144710542613945 \tabularnewline
0.19 & 35.2103573961106 & 0.154533896985875 \tabularnewline
0.2 & 35.2431639948653 & 0.162977545699636 \tabularnewline
0.21 & 35.2771135993187 & 0.169916033929417 \tabularnewline
0.22 & 35.3118963074831 & 0.175308631019358 \tabularnewline
0.23 & 35.3472323704669 & 0.179260760434523 \tabularnewline
0.24 & 35.3828969654832 & 0.182116536497389 \tabularnewline
0.25 & 35.4187419375284 & 0.184350320759668 \tabularnewline
0.26 & 35.4547103510357 & 0.186583496112939 \tabularnewline
0.27 & 35.4908394976794 & 0.18953202190885 \tabularnewline
0.28 & 35.5272496100108 & 0.193732601201679 \tabularnewline
0.29 & 35.5641185287296 & 0.199483856153723 \tabularnewline
0.3 & 35.6016460097049 & 0.206682775482361 \tabularnewline
0.31 & 35.6400141190106 & 0.214984865873356 \tabularnewline
0.32 & 35.6793513708042 & 0.223732358097398 \tabularnewline
0.33 & 35.7197075421986 & 0.23225954909574 \tabularnewline
0.34 & 35.7610436634346 & 0.239796482413759 \tabularnewline
0.35 & 35.8032382162758 & 0.245897080869806 \tabularnewline
0.36 & 35.8461070035578 & 0.250320774381884 \tabularnewline
0.37 & 35.8894313695748 & 0.252914211962393 \tabularnewline
0.38 & 35.9329880800715 & 0.254012721213075 \tabularnewline
0.39 & 35.976574435713 & 0.253930730053206 \tabularnewline
0.4 & 36.0200238977676 & 0.253103136078944 \tabularnewline
0.41 & 36.0632101227896 & 0.251865793484213 \tabularnewline
0.42 & 36.1060401397383 & 0.250382753021386 \tabularnewline
0.43 & 36.14843978177 & 0.248755114495037 \tabularnewline
0.44 & 36.1903359089477 & 0.24676967250002 \tabularnewline
0.45 & 36.2316402091144 & 0.244204152253839 \tabularnewline
0.46 & 36.2722385220915 & 0.240725100062295 \tabularnewline
0.47 & 36.3119880192109 & 0.236027923354333 \tabularnewline
0.48 & 36.3507226417648 & 0.229987968147864 \tabularnewline
0.49 & 36.3882654213159 & 0.222507562106331 \tabularnewline
0.5 & 36.4244450322251 & 0.213721141097985 \tabularnewline
0.51 & 36.4591133521794 & 0.203905853963919 \tabularnewline
0.52 & 36.4921609354781 & 0.193348232716782 \tabularnewline
0.53 & 36.5235279916739 & 0.182475864689206 \tabularnewline
0.54 & 36.5532094784998 & 0.17170042008208 \tabularnewline
0.55 & 36.5812540181659 & 0.16139081524657 \tabularnewline
0.56 & 36.6077573279987 & 0.151849055428236 \tabularnewline
0.57 & 36.6328515902856 & 0.143286089001934 \tabularnewline
0.58 & 36.6566926158129 & 0.135819342588205 \tabularnewline
0.59 & 36.6794467794646 & 0.129439483984209 \tabularnewline
0.6 & 36.7012795526274 & 0.124093947092071 \tabularnewline
0.61 & 36.7223470661064 & 0.119667185898346 \tabularnewline
0.62 & 36.7427915564394 & 0.116017372904347 \tabularnewline
0.63 & 36.7627408416928 & 0.112910026359572 \tabularnewline
0.64 & 36.782311232184 & 0.110337407591313 \tabularnewline
0.65 & 36.8016126321521 & 0.108202361539854 \tabularnewline
0.66 & 36.8207541746873 & 0.106574868183004 \tabularnewline
0.67 & 36.8398486845572 & 0.105485122430975 \tabularnewline
0.68 & 36.8590146504806 & 0.105051017000667 \tabularnewline
0.69 & 36.8783751706838 & 0.105295490115547 \tabularnewline
0.7 & 36.8980543413721 & 0.106227956722435 \tabularnewline
0.71 & 36.918172496771 & 0.107776775643358 \tabularnewline
0.72 & 36.9388422352003 & 0.109828782135377 \tabularnewline
0.73 & 36.9601669803309 & 0.112203522069436 \tabularnewline
0.74 & 36.9822428049864 & 0.114805795581105 \tabularnewline
0.75 & 37.0051625386386 & 0.11754812351132 \tabularnewline
0.76 & 37.0290192583159 & 0.120438324825022 \tabularnewline
0.77 & 37.0539048478201 & 0.123623876439349 \tabularnewline
0.78 & 37.079899192345 & 0.12709735363136 \tabularnewline
0.79 & 37.1070473367917 & 0.130817565202633 \tabularnewline
0.8 & 37.1353256553312 & 0.134503451550943 \tabularnewline
0.81 & 37.164603136805 & 0.137586047175582 \tabularnewline
0.82 & 37.1946089883479 & 0.139252279434287 \tabularnewline
0.83 & 37.2249212337387 & 0.1386770617856 \tabularnewline
0.84 & 37.2549913444132 & 0.135149383641603 \tabularnewline
0.85 & 37.2842164359184 & 0.128289551919988 \tabularnewline
0.86 & 37.3120634036684 & 0.118292470288913 \tabularnewline
0.87 & 37.3382393334689 & 0.106105817223036 \tabularnewline
0.88 & 37.3628899274751 & 0.0934014059806018 \tabularnewline
0.89 & 37.3867914830257 & 0.0827754717800048 \tabularnewline
0.9 & 37.4114803165614 & 0.0778382762504101 \tabularnewline
0.91 & 37.4392374610836 & 0.0823608019397545 \tabularnewline
0.92 & 37.4728265466115 & 0.0979076058234462 \tabularnewline
0.93 & 37.5148950623378 & 0.122084939642334 \tabularnewline
0.94 & 37.5670317613457 & 0.14899340947989 \tabularnewline
0.95 & 37.6286520575824 & 0.169923281578168 \tabularnewline
0.96 & 37.6961269223655 & 0.17486446461041 \tabularnewline
0.97 & 37.7627459911906 & 0.15616884519098 \tabularnewline
0.98 & 37.8200081677919 & 0.114255672657719 \tabularnewline
0.99 & 37.8602563440414 & 0.0629797284154984 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162809&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]34.7720150465593[/C][C]0.123929680193416[/C][/ROW]
[ROW][C]0.02[/C][C]34.8163383970342[/C][C]0.0928272831720759[/C][/ROW]
[ROW][C]0.03[/C][C]34.8587080185789[/C][C]0.0663736652600769[/C][/ROW]
[ROW][C]0.04[/C][C]34.8926575325607[/C][C]0.0501316291663738[/C][/ROW]
[ROW][C]0.05[/C][C]34.9182677746323[/C][C]0.0432223585693[/C][/ROW]
[ROW][C]0.06[/C][C]34.9381426354603[/C][C]0.0418211946473912[/C][/ROW]
[ROW][C]0.07[/C][C]34.954832474075[/C][C]0.0428347790408828[/C][/ROW]
[ROW][C]0.08[/C][C]34.9700702820011[/C][C]0.045186635675063[/C][/ROW]
[ROW][C]0.09[/C][C]34.984908552394[/C][C]0.0489654250158246[/C][/ROW]
[ROW][C]0.1[/C][C]35.0000368534737[/C][C]0.0546444354366357[/C][/ROW]
[ROW][C]0.11[/C][C]35.0159959504801[/C][C]0.0624517469729012[/C][/ROW]
[ROW][C]0.12[/C][C]35.0332585913695[/C][C]0.0723223061264004[/C][/ROW]
[ROW][C]0.13[/C][C]35.0522287095211[/C][C]0.0837923785610235[/C][/ROW]
[ROW][C]0.14[/C][C]35.073212034103[/C][C]0.0962600621126216[/C][/ROW]
[ROW][C]0.15[/C][C]35.0963906479749[/C][C]0.109072472205244[/C][/ROW]
[ROW][C]0.16[/C][C]35.1218147012097[/C][C]0.12170916409042[/C][/ROW]
[ROW][C]0.17[/C][C]35.1494118142772[/C][C]0.133705411715977[/C][/ROW]
[ROW][C]0.18[/C][C]35.1790085731358[/C][C]0.144710542613945[/C][/ROW]
[ROW][C]0.19[/C][C]35.2103573961106[/C][C]0.154533896985875[/C][/ROW]
[ROW][C]0.2[/C][C]35.2431639948653[/C][C]0.162977545699636[/C][/ROW]
[ROW][C]0.21[/C][C]35.2771135993187[/C][C]0.169916033929417[/C][/ROW]
[ROW][C]0.22[/C][C]35.3118963074831[/C][C]0.175308631019358[/C][/ROW]
[ROW][C]0.23[/C][C]35.3472323704669[/C][C]0.179260760434523[/C][/ROW]
[ROW][C]0.24[/C][C]35.3828969654832[/C][C]0.182116536497389[/C][/ROW]
[ROW][C]0.25[/C][C]35.4187419375284[/C][C]0.184350320759668[/C][/ROW]
[ROW][C]0.26[/C][C]35.4547103510357[/C][C]0.186583496112939[/C][/ROW]
[ROW][C]0.27[/C][C]35.4908394976794[/C][C]0.18953202190885[/C][/ROW]
[ROW][C]0.28[/C][C]35.5272496100108[/C][C]0.193732601201679[/C][/ROW]
[ROW][C]0.29[/C][C]35.5641185287296[/C][C]0.199483856153723[/C][/ROW]
[ROW][C]0.3[/C][C]35.6016460097049[/C][C]0.206682775482361[/C][/ROW]
[ROW][C]0.31[/C][C]35.6400141190106[/C][C]0.214984865873356[/C][/ROW]
[ROW][C]0.32[/C][C]35.6793513708042[/C][C]0.223732358097398[/C][/ROW]
[ROW][C]0.33[/C][C]35.7197075421986[/C][C]0.23225954909574[/C][/ROW]
[ROW][C]0.34[/C][C]35.7610436634346[/C][C]0.239796482413759[/C][/ROW]
[ROW][C]0.35[/C][C]35.8032382162758[/C][C]0.245897080869806[/C][/ROW]
[ROW][C]0.36[/C][C]35.8461070035578[/C][C]0.250320774381884[/C][/ROW]
[ROW][C]0.37[/C][C]35.8894313695748[/C][C]0.252914211962393[/C][/ROW]
[ROW][C]0.38[/C][C]35.9329880800715[/C][C]0.254012721213075[/C][/ROW]
[ROW][C]0.39[/C][C]35.976574435713[/C][C]0.253930730053206[/C][/ROW]
[ROW][C]0.4[/C][C]36.0200238977676[/C][C]0.253103136078944[/C][/ROW]
[ROW][C]0.41[/C][C]36.0632101227896[/C][C]0.251865793484213[/C][/ROW]
[ROW][C]0.42[/C][C]36.1060401397383[/C][C]0.250382753021386[/C][/ROW]
[ROW][C]0.43[/C][C]36.14843978177[/C][C]0.248755114495037[/C][/ROW]
[ROW][C]0.44[/C][C]36.1903359089477[/C][C]0.24676967250002[/C][/ROW]
[ROW][C]0.45[/C][C]36.2316402091144[/C][C]0.244204152253839[/C][/ROW]
[ROW][C]0.46[/C][C]36.2722385220915[/C][C]0.240725100062295[/C][/ROW]
[ROW][C]0.47[/C][C]36.3119880192109[/C][C]0.236027923354333[/C][/ROW]
[ROW][C]0.48[/C][C]36.3507226417648[/C][C]0.229987968147864[/C][/ROW]
[ROW][C]0.49[/C][C]36.3882654213159[/C][C]0.222507562106331[/C][/ROW]
[ROW][C]0.5[/C][C]36.4244450322251[/C][C]0.213721141097985[/C][/ROW]
[ROW][C]0.51[/C][C]36.4591133521794[/C][C]0.203905853963919[/C][/ROW]
[ROW][C]0.52[/C][C]36.4921609354781[/C][C]0.193348232716782[/C][/ROW]
[ROW][C]0.53[/C][C]36.5235279916739[/C][C]0.182475864689206[/C][/ROW]
[ROW][C]0.54[/C][C]36.5532094784998[/C][C]0.17170042008208[/C][/ROW]
[ROW][C]0.55[/C][C]36.5812540181659[/C][C]0.16139081524657[/C][/ROW]
[ROW][C]0.56[/C][C]36.6077573279987[/C][C]0.151849055428236[/C][/ROW]
[ROW][C]0.57[/C][C]36.6328515902856[/C][C]0.143286089001934[/C][/ROW]
[ROW][C]0.58[/C][C]36.6566926158129[/C][C]0.135819342588205[/C][/ROW]
[ROW][C]0.59[/C][C]36.6794467794646[/C][C]0.129439483984209[/C][/ROW]
[ROW][C]0.6[/C][C]36.7012795526274[/C][C]0.124093947092071[/C][/ROW]
[ROW][C]0.61[/C][C]36.7223470661064[/C][C]0.119667185898346[/C][/ROW]
[ROW][C]0.62[/C][C]36.7427915564394[/C][C]0.116017372904347[/C][/ROW]
[ROW][C]0.63[/C][C]36.7627408416928[/C][C]0.112910026359572[/C][/ROW]
[ROW][C]0.64[/C][C]36.782311232184[/C][C]0.110337407591313[/C][/ROW]
[ROW][C]0.65[/C][C]36.8016126321521[/C][C]0.108202361539854[/C][/ROW]
[ROW][C]0.66[/C][C]36.8207541746873[/C][C]0.106574868183004[/C][/ROW]
[ROW][C]0.67[/C][C]36.8398486845572[/C][C]0.105485122430975[/C][/ROW]
[ROW][C]0.68[/C][C]36.8590146504806[/C][C]0.105051017000667[/C][/ROW]
[ROW][C]0.69[/C][C]36.8783751706838[/C][C]0.105295490115547[/C][/ROW]
[ROW][C]0.7[/C][C]36.8980543413721[/C][C]0.106227956722435[/C][/ROW]
[ROW][C]0.71[/C][C]36.918172496771[/C][C]0.107776775643358[/C][/ROW]
[ROW][C]0.72[/C][C]36.9388422352003[/C][C]0.109828782135377[/C][/ROW]
[ROW][C]0.73[/C][C]36.9601669803309[/C][C]0.112203522069436[/C][/ROW]
[ROW][C]0.74[/C][C]36.9822428049864[/C][C]0.114805795581105[/C][/ROW]
[ROW][C]0.75[/C][C]37.0051625386386[/C][C]0.11754812351132[/C][/ROW]
[ROW][C]0.76[/C][C]37.0290192583159[/C][C]0.120438324825022[/C][/ROW]
[ROW][C]0.77[/C][C]37.0539048478201[/C][C]0.123623876439349[/C][/ROW]
[ROW][C]0.78[/C][C]37.079899192345[/C][C]0.12709735363136[/C][/ROW]
[ROW][C]0.79[/C][C]37.1070473367917[/C][C]0.130817565202633[/C][/ROW]
[ROW][C]0.8[/C][C]37.1353256553312[/C][C]0.134503451550943[/C][/ROW]
[ROW][C]0.81[/C][C]37.164603136805[/C][C]0.137586047175582[/C][/ROW]
[ROW][C]0.82[/C][C]37.1946089883479[/C][C]0.139252279434287[/C][/ROW]
[ROW][C]0.83[/C][C]37.2249212337387[/C][C]0.1386770617856[/C][/ROW]
[ROW][C]0.84[/C][C]37.2549913444132[/C][C]0.135149383641603[/C][/ROW]
[ROW][C]0.85[/C][C]37.2842164359184[/C][C]0.128289551919988[/C][/ROW]
[ROW][C]0.86[/C][C]37.3120634036684[/C][C]0.118292470288913[/C][/ROW]
[ROW][C]0.87[/C][C]37.3382393334689[/C][C]0.106105817223036[/C][/ROW]
[ROW][C]0.88[/C][C]37.3628899274751[/C][C]0.0934014059806018[/C][/ROW]
[ROW][C]0.89[/C][C]37.3867914830257[/C][C]0.0827754717800048[/C][/ROW]
[ROW][C]0.9[/C][C]37.4114803165614[/C][C]0.0778382762504101[/C][/ROW]
[ROW][C]0.91[/C][C]37.4392374610836[/C][C]0.0823608019397545[/C][/ROW]
[ROW][C]0.92[/C][C]37.4728265466115[/C][C]0.0979076058234462[/C][/ROW]
[ROW][C]0.93[/C][C]37.5148950623378[/C][C]0.122084939642334[/C][/ROW]
[ROW][C]0.94[/C][C]37.5670317613457[/C][C]0.14899340947989[/C][/ROW]
[ROW][C]0.95[/C][C]37.6286520575824[/C][C]0.169923281578168[/C][/ROW]
[ROW][C]0.96[/C][C]37.6961269223655[/C][C]0.17486446461041[/C][/ROW]
[ROW][C]0.97[/C][C]37.7627459911906[/C][C]0.15616884519098[/C][/ROW]
[ROW][C]0.98[/C][C]37.8200081677919[/C][C]0.114255672657719[/C][/ROW]
[ROW][C]0.99[/C][C]37.8602563440414[/C][C]0.0629797284154984[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162809&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162809&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
0.0134.77201504655930.123929680193416
0.0234.81633839703420.0928272831720759
0.0334.85870801857890.0663736652600769
0.0434.89265753256070.0501316291663738
0.0534.91826777463230.0432223585693
0.0634.93814263546030.0418211946473912
0.0734.9548324740750.0428347790408828
0.0834.97007028200110.045186635675063
0.0934.9849085523940.0489654250158246
0.135.00003685347370.0546444354366357
0.1135.01599595048010.0624517469729012
0.1235.03325859136950.0723223061264004
0.1335.05222870952110.0837923785610235
0.1435.0732120341030.0962600621126216
0.1535.09639064797490.109072472205244
0.1635.12181470120970.12170916409042
0.1735.14941181427720.133705411715977
0.1835.17900857313580.144710542613945
0.1935.21035739611060.154533896985875
0.235.24316399486530.162977545699636
0.2135.27711359931870.169916033929417
0.2235.31189630748310.175308631019358
0.2335.34723237046690.179260760434523
0.2435.38289696548320.182116536497389
0.2535.41874193752840.184350320759668
0.2635.45471035103570.186583496112939
0.2735.49083949767940.18953202190885
0.2835.52724961001080.193732601201679
0.2935.56411852872960.199483856153723
0.335.60164600970490.206682775482361
0.3135.64001411901060.214984865873356
0.3235.67935137080420.223732358097398
0.3335.71970754219860.23225954909574
0.3435.76104366343460.239796482413759
0.3535.80323821627580.245897080869806
0.3635.84610700355780.250320774381884
0.3735.88943136957480.252914211962393
0.3835.93298808007150.254012721213075
0.3935.9765744357130.253930730053206
0.436.02002389776760.253103136078944
0.4136.06321012278960.251865793484213
0.4236.10604013973830.250382753021386
0.4336.148439781770.248755114495037
0.4436.19033590894770.24676967250002
0.4536.23164020911440.244204152253839
0.4636.27223852209150.240725100062295
0.4736.31198801921090.236027923354333
0.4836.35072264176480.229987968147864
0.4936.38826542131590.222507562106331
0.536.42444503222510.213721141097985
0.5136.45911335217940.203905853963919
0.5236.49216093547810.193348232716782
0.5336.52352799167390.182475864689206
0.5436.55320947849980.17170042008208
0.5536.58125401816590.16139081524657
0.5636.60775732799870.151849055428236
0.5736.63285159028560.143286089001934
0.5836.65669261581290.135819342588205
0.5936.67944677946460.129439483984209
0.636.70127955262740.124093947092071
0.6136.72234706610640.119667185898346
0.6236.74279155643940.116017372904347
0.6336.76274084169280.112910026359572
0.6436.7823112321840.110337407591313
0.6536.80161263215210.108202361539854
0.6636.82075417468730.106574868183004
0.6736.83984868455720.105485122430975
0.6836.85901465048060.105051017000667
0.6936.87837517068380.105295490115547
0.736.89805434137210.106227956722435
0.7136.9181724967710.107776775643358
0.7236.93884223520030.109828782135377
0.7336.96016698033090.112203522069436
0.7436.98224280498640.114805795581105
0.7537.00516253863860.11754812351132
0.7637.02901925831590.120438324825022
0.7737.05390484782010.123623876439349
0.7837.0798991923450.12709735363136
0.7937.10704733679170.130817565202633
0.837.13532565533120.134503451550943
0.8137.1646031368050.137586047175582
0.8237.19460898834790.139252279434287
0.8337.22492123373870.1386770617856
0.8437.25499134441320.135149383641603
0.8537.28421643591840.128289551919988
0.8637.31206340366840.118292470288913
0.8737.33823933346890.106105817223036
0.8837.36288992747510.0934014059806018
0.8937.38679148302570.0827754717800048
0.937.41148031656140.0778382762504101
0.9137.43923746108360.0823608019397545
0.9237.47282654661150.0979076058234462
0.9337.51489506233780.122084939642334
0.9437.56703176134570.14899340947989
0.9537.62865205758240.169923281578168
0.9637.69612692236550.17486446461041
0.9737.76274599119060.15616884519098
0.9837.82000816779190.114255672657719
0.9937.86025634404140.0629797284154984


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')