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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, 07 Aug 2015 14:24:11 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Aug/07/t143895386422fwb1buquzxpug.htm/, Retrieved Wed, 15 May 2024 12:03:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279897, Retrieved Wed, 15 May 2024 12:03:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact158

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [] [2014-10-04 09:51:16] [3d50c3f1d1505d45371c80c331b9aa00]
-    D  [Notched Boxplots] [] [2015-08-03 11:42:45] [74be16979710d4c4e7c6647856088456]
- RMP     [Harrell-Davis Quantiles] [] [2015-08-07 13:17:48] [74be16979710d4c4e7c6647856088456]
- R         [Harrell-Davis Quantiles] [] [2015-08-07 13:20:06] [74be16979710d4c4e7c6647856088456]
-   P           [Harrell-Davis Quantiles] [] [2015-08-07 13:24:11] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3469648.00
3456726.00
3443622.00
3416504.00
3684772.00
3670576.00
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1836016.00

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279897&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279897&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279897&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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011218442.21489145206329.141630016
0.021394737.23698628135923.969999678
0.031512143.93718495118304.969017082
0.041600358.98813776138147.735509566
0.051682462.61516097151417.088650291
0.061759690.62819937142639.915115669
0.071826492.59769416120814.224730289
0.081880565.5000384399940.8865813072
0.091924144.9931481888000.9047307284
0.11961548.7178998986513.2958398096
0.111996968.1925939293680.5230922694
0.122033468.57357034106336.685290663
0.132072735.74403293120804.059575554
0.142115139.65296308133611.440454369
0.152159994.26709722142249.494420782
0.162205982.22876251145689.46751902
0.172251648.56556796144427.874104863
0.182295822.3875722140079.640426011
0.192337859.02043432134678.613403499
0.22377676.02842558130052.782060798
0.212415631.15091752127383.915832956
0.222452325.87720612127069.942481768
0.232488413.18877382128903.468465903
0.242524458.45058371132293.226678644
0.252560868.12361487136591.650538054
0.262597875.22396225141209.957184812
0.272635558.34706728145677.749786292
0.282673871.43582969149637.785457536
0.292712669.74287497152769.601712824
0.32751728.12090165154781.05014618
0.312790756.20187148155405.295079375
0.322829418.44151595154459.187878943
0.332867364.95989984151926.33682186
0.342904273.21884111147974.066832209
0.352939893.77357372143011.905691852
0.362974088.73323348137605.922478085
0.373006851.24559972132389.674929419
0.383038298.51747272127904.049920176
0.393068637.97277081124491.864088529
0.43098113.50712993122176.040243769
0.413126943.99110661120702.356522418
0.423155267.87440628119566.442008889
0.433183105.91946482118158.729866168
0.443210349.62026483115876.356197525
0.453236776.98303955112266.578868583
0.463262091.33813787107086.598632139
0.473285973.94893838100376.497366339
0.483308138.5013827792408.8185699699
0.493328375.846263183630.7192574564
0.53346580.6337368874578.2655462662
0.513362756.7802477265752.1646631296
0.523377004.3542179957560.0409295016
0.533389494.6535323550265.7116090505
0.543400441.7912765643978.2655049297
0.553410077.8993296538730.3148540623
0.563418636.0121374434471.2696866196
0.573426341.2235705631145.7676978361
0.583433408.0832781328709.2146529755
0.593440041.0492336827122.2257215565
0.63446435.0437196826353.1852970182
0.613452774.2020230526346.7065877438
0.623459228.1328343727035.5976834645
0.633465946.0688489528290.6695350179
0.643473050.1331473529983.6141239933
0.653480629.6404142831941.7373003427
0.663488738.766941433997.0805465684
0.673497399.6626662436009.6696551919
0.683506611.7269372137886.2034042696
0.693516365.3616229239622.6868397395
0.73526655.8493183641274.7549314979
0.713537491.4489782342934.8981822779
0.723548890.565005844658.6235480369
0.733560866.1418363746407.5513556257
0.743573400.165555548013.6011690311
0.753586415.4308621949200.4614152917
0.763599753.9198557449639.9830293564
0.773613170.617046249026.5798577358
0.783626348.6666669747146.8904802787
0.793638937.034289243968.4197872782
0.83650605.713051839669.4366100315
0.813661106.8816032834639.5426479173
0.823670325.4652697629424.3580401127
0.833678302.5800417324604.393045535
0.843685222.6020882520664.4789571986
0.853691367.4278909517876.7925087832
0.863697053.6820615116232.2408054996
0.873702573.2201155715496.7207079043
0.883708152.6862103115337.2955299976
0.893713940.6396409115434.2858623836
0.93720029.2821912315570.4667410357
0.913726520.9416774915725.2680602903
0.923733648.1904347416194.9012741601
0.933741965.3552955417632.3839780322
0.943752693.0365980221087.8082081211
0.953768298.5496124728659.7731978782
0.963792762.096331342875.3811928658
0.973829715.9042982659514.0731371458
0.983878197.5134060862917.135648248
0.993930335.5525989251233.1628127442

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1218442.21489145 & 206329.141630016 \tabularnewline
0.02 & 1394737.23698628 & 135923.969999678 \tabularnewline
0.03 & 1512143.93718495 & 118304.969017082 \tabularnewline
0.04 & 1600358.98813776 & 138147.735509566 \tabularnewline
0.05 & 1682462.61516097 & 151417.088650291 \tabularnewline
0.06 & 1759690.62819937 & 142639.915115669 \tabularnewline
0.07 & 1826492.59769416 & 120814.224730289 \tabularnewline
0.08 & 1880565.50003843 & 99940.8865813072 \tabularnewline
0.09 & 1924144.99314818 & 88000.9047307284 \tabularnewline
0.1 & 1961548.71789989 & 86513.2958398096 \tabularnewline
0.11 & 1996968.19259392 & 93680.5230922694 \tabularnewline
0.12 & 2033468.57357034 & 106336.685290663 \tabularnewline
0.13 & 2072735.74403293 & 120804.059575554 \tabularnewline
0.14 & 2115139.65296308 & 133611.440454369 \tabularnewline
0.15 & 2159994.26709722 & 142249.494420782 \tabularnewline
0.16 & 2205982.22876251 & 145689.46751902 \tabularnewline
0.17 & 2251648.56556796 & 144427.874104863 \tabularnewline
0.18 & 2295822.3875722 & 140079.640426011 \tabularnewline
0.19 & 2337859.02043432 & 134678.613403499 \tabularnewline
0.2 & 2377676.02842558 & 130052.782060798 \tabularnewline
0.21 & 2415631.15091752 & 127383.915832956 \tabularnewline
0.22 & 2452325.87720612 & 127069.942481768 \tabularnewline
0.23 & 2488413.18877382 & 128903.468465903 \tabularnewline
0.24 & 2524458.45058371 & 132293.226678644 \tabularnewline
0.25 & 2560868.12361487 & 136591.650538054 \tabularnewline
0.26 & 2597875.22396225 & 141209.957184812 \tabularnewline
0.27 & 2635558.34706728 & 145677.749786292 \tabularnewline
0.28 & 2673871.43582969 & 149637.785457536 \tabularnewline
0.29 & 2712669.74287497 & 152769.601712824 \tabularnewline
0.3 & 2751728.12090165 & 154781.05014618 \tabularnewline
0.31 & 2790756.20187148 & 155405.295079375 \tabularnewline
0.32 & 2829418.44151595 & 154459.187878943 \tabularnewline
0.33 & 2867364.95989984 & 151926.33682186 \tabularnewline
0.34 & 2904273.21884111 & 147974.066832209 \tabularnewline
0.35 & 2939893.77357372 & 143011.905691852 \tabularnewline
0.36 & 2974088.73323348 & 137605.922478085 \tabularnewline
0.37 & 3006851.24559972 & 132389.674929419 \tabularnewline
0.38 & 3038298.51747272 & 127904.049920176 \tabularnewline
0.39 & 3068637.97277081 & 124491.864088529 \tabularnewline
0.4 & 3098113.50712993 & 122176.040243769 \tabularnewline
0.41 & 3126943.99110661 & 120702.356522418 \tabularnewline
0.42 & 3155267.87440628 & 119566.442008889 \tabularnewline
0.43 & 3183105.91946482 & 118158.729866168 \tabularnewline
0.44 & 3210349.62026483 & 115876.356197525 \tabularnewline
0.45 & 3236776.98303955 & 112266.578868583 \tabularnewline
0.46 & 3262091.33813787 & 107086.598632139 \tabularnewline
0.47 & 3285973.94893838 & 100376.497366339 \tabularnewline
0.48 & 3308138.50138277 & 92408.8185699699 \tabularnewline
0.49 & 3328375.8462631 & 83630.7192574564 \tabularnewline
0.5 & 3346580.63373688 & 74578.2655462662 \tabularnewline
0.51 & 3362756.78024772 & 65752.1646631296 \tabularnewline
0.52 & 3377004.35421799 & 57560.0409295016 \tabularnewline
0.53 & 3389494.65353235 & 50265.7116090505 \tabularnewline
0.54 & 3400441.79127656 & 43978.2655049297 \tabularnewline
0.55 & 3410077.89932965 & 38730.3148540623 \tabularnewline
0.56 & 3418636.01213744 & 34471.2696866196 \tabularnewline
0.57 & 3426341.22357056 & 31145.7676978361 \tabularnewline
0.58 & 3433408.08327813 & 28709.2146529755 \tabularnewline
0.59 & 3440041.04923368 & 27122.2257215565 \tabularnewline
0.6 & 3446435.04371968 & 26353.1852970182 \tabularnewline
0.61 & 3452774.20202305 & 26346.7065877438 \tabularnewline
0.62 & 3459228.13283437 & 27035.5976834645 \tabularnewline
0.63 & 3465946.06884895 & 28290.6695350179 \tabularnewline
0.64 & 3473050.13314735 & 29983.6141239933 \tabularnewline
0.65 & 3480629.64041428 & 31941.7373003427 \tabularnewline
0.66 & 3488738.7669414 & 33997.0805465684 \tabularnewline
0.67 & 3497399.66266624 & 36009.6696551919 \tabularnewline
0.68 & 3506611.72693721 & 37886.2034042696 \tabularnewline
0.69 & 3516365.36162292 & 39622.6868397395 \tabularnewline
0.7 & 3526655.84931836 & 41274.7549314979 \tabularnewline
0.71 & 3537491.44897823 & 42934.8981822779 \tabularnewline
0.72 & 3548890.5650058 & 44658.6235480369 \tabularnewline
0.73 & 3560866.14183637 & 46407.5513556257 \tabularnewline
0.74 & 3573400.1655555 & 48013.6011690311 \tabularnewline
0.75 & 3586415.43086219 & 49200.4614152917 \tabularnewline
0.76 & 3599753.91985574 & 49639.9830293564 \tabularnewline
0.77 & 3613170.6170462 & 49026.5798577358 \tabularnewline
0.78 & 3626348.66666697 & 47146.8904802787 \tabularnewline
0.79 & 3638937.0342892 & 43968.4197872782 \tabularnewline
0.8 & 3650605.7130518 & 39669.4366100315 \tabularnewline
0.81 & 3661106.88160328 & 34639.5426479173 \tabularnewline
0.82 & 3670325.46526976 & 29424.3580401127 \tabularnewline
0.83 & 3678302.58004173 & 24604.393045535 \tabularnewline
0.84 & 3685222.60208825 & 20664.4789571986 \tabularnewline
0.85 & 3691367.42789095 & 17876.7925087832 \tabularnewline
0.86 & 3697053.68206151 & 16232.2408054996 \tabularnewline
0.87 & 3702573.22011557 & 15496.7207079043 \tabularnewline
0.88 & 3708152.68621031 & 15337.2955299976 \tabularnewline
0.89 & 3713940.63964091 & 15434.2858623836 \tabularnewline
0.9 & 3720029.28219123 & 15570.4667410357 \tabularnewline
0.91 & 3726520.94167749 & 15725.2680602903 \tabularnewline
0.92 & 3733648.19043474 & 16194.9012741601 \tabularnewline
0.93 & 3741965.35529554 & 17632.3839780322 \tabularnewline
0.94 & 3752693.03659802 & 21087.8082081211 \tabularnewline
0.95 & 3768298.54961247 & 28659.7731978782 \tabularnewline
0.96 & 3792762.0963313 & 42875.3811928658 \tabularnewline
0.97 & 3829715.90429826 & 59514.0731371458 \tabularnewline
0.98 & 3878197.51340608 & 62917.135648248 \tabularnewline
0.99 & 3930335.55259892 & 51233.1628127442 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279897&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]1218442.21489145[/C][C]206329.141630016[/C][/ROW]
[ROW][C]0.02[/C][C]1394737.23698628[/C][C]135923.969999678[/C][/ROW]
[ROW][C]0.03[/C][C]1512143.93718495[/C][C]118304.969017082[/C][/ROW]
[ROW][C]0.04[/C][C]1600358.98813776[/C][C]138147.735509566[/C][/ROW]
[ROW][C]0.05[/C][C]1682462.61516097[/C][C]151417.088650291[/C][/ROW]
[ROW][C]0.06[/C][C]1759690.62819937[/C][C]142639.915115669[/C][/ROW]
[ROW][C]0.07[/C][C]1826492.59769416[/C][C]120814.224730289[/C][/ROW]
[ROW][C]0.08[/C][C]1880565.50003843[/C][C]99940.8865813072[/C][/ROW]
[ROW][C]0.09[/C][C]1924144.99314818[/C][C]88000.9047307284[/C][/ROW]
[ROW][C]0.1[/C][C]1961548.71789989[/C][C]86513.2958398096[/C][/ROW]
[ROW][C]0.11[/C][C]1996968.19259392[/C][C]93680.5230922694[/C][/ROW]
[ROW][C]0.12[/C][C]2033468.57357034[/C][C]106336.685290663[/C][/ROW]
[ROW][C]0.13[/C][C]2072735.74403293[/C][C]120804.059575554[/C][/ROW]
[ROW][C]0.14[/C][C]2115139.65296308[/C][C]133611.440454369[/C][/ROW]
[ROW][C]0.15[/C][C]2159994.26709722[/C][C]142249.494420782[/C][/ROW]
[ROW][C]0.16[/C][C]2205982.22876251[/C][C]145689.46751902[/C][/ROW]
[ROW][C]0.17[/C][C]2251648.56556796[/C][C]144427.874104863[/C][/ROW]
[ROW][C]0.18[/C][C]2295822.3875722[/C][C]140079.640426011[/C][/ROW]
[ROW][C]0.19[/C][C]2337859.02043432[/C][C]134678.613403499[/C][/ROW]
[ROW][C]0.2[/C][C]2377676.02842558[/C][C]130052.782060798[/C][/ROW]
[ROW][C]0.21[/C][C]2415631.15091752[/C][C]127383.915832956[/C][/ROW]
[ROW][C]0.22[/C][C]2452325.87720612[/C][C]127069.942481768[/C][/ROW]
[ROW][C]0.23[/C][C]2488413.18877382[/C][C]128903.468465903[/C][/ROW]
[ROW][C]0.24[/C][C]2524458.45058371[/C][C]132293.226678644[/C][/ROW]
[ROW][C]0.25[/C][C]2560868.12361487[/C][C]136591.650538054[/C][/ROW]
[ROW][C]0.26[/C][C]2597875.22396225[/C][C]141209.957184812[/C][/ROW]
[ROW][C]0.27[/C][C]2635558.34706728[/C][C]145677.749786292[/C][/ROW]
[ROW][C]0.28[/C][C]2673871.43582969[/C][C]149637.785457536[/C][/ROW]
[ROW][C]0.29[/C][C]2712669.74287497[/C][C]152769.601712824[/C][/ROW]
[ROW][C]0.3[/C][C]2751728.12090165[/C][C]154781.05014618[/C][/ROW]
[ROW][C]0.31[/C][C]2790756.20187148[/C][C]155405.295079375[/C][/ROW]
[ROW][C]0.32[/C][C]2829418.44151595[/C][C]154459.187878943[/C][/ROW]
[ROW][C]0.33[/C][C]2867364.95989984[/C][C]151926.33682186[/C][/ROW]
[ROW][C]0.34[/C][C]2904273.21884111[/C][C]147974.066832209[/C][/ROW]
[ROW][C]0.35[/C][C]2939893.77357372[/C][C]143011.905691852[/C][/ROW]
[ROW][C]0.36[/C][C]2974088.73323348[/C][C]137605.922478085[/C][/ROW]
[ROW][C]0.37[/C][C]3006851.24559972[/C][C]132389.674929419[/C][/ROW]
[ROW][C]0.38[/C][C]3038298.51747272[/C][C]127904.049920176[/C][/ROW]
[ROW][C]0.39[/C][C]3068637.97277081[/C][C]124491.864088529[/C][/ROW]
[ROW][C]0.4[/C][C]3098113.50712993[/C][C]122176.040243769[/C][/ROW]
[ROW][C]0.41[/C][C]3126943.99110661[/C][C]120702.356522418[/C][/ROW]
[ROW][C]0.42[/C][C]3155267.87440628[/C][C]119566.442008889[/C][/ROW]
[ROW][C]0.43[/C][C]3183105.91946482[/C][C]118158.729866168[/C][/ROW]
[ROW][C]0.44[/C][C]3210349.62026483[/C][C]115876.356197525[/C][/ROW]
[ROW][C]0.45[/C][C]3236776.98303955[/C][C]112266.578868583[/C][/ROW]
[ROW][C]0.46[/C][C]3262091.33813787[/C][C]107086.598632139[/C][/ROW]
[ROW][C]0.47[/C][C]3285973.94893838[/C][C]100376.497366339[/C][/ROW]
[ROW][C]0.48[/C][C]3308138.50138277[/C][C]92408.8185699699[/C][/ROW]
[ROW][C]0.49[/C][C]3328375.8462631[/C][C]83630.7192574564[/C][/ROW]
[ROW][C]0.5[/C][C]3346580.63373688[/C][C]74578.2655462662[/C][/ROW]
[ROW][C]0.51[/C][C]3362756.78024772[/C][C]65752.1646631296[/C][/ROW]
[ROW][C]0.52[/C][C]3377004.35421799[/C][C]57560.0409295016[/C][/ROW]
[ROW][C]0.53[/C][C]3389494.65353235[/C][C]50265.7116090505[/C][/ROW]
[ROW][C]0.54[/C][C]3400441.79127656[/C][C]43978.2655049297[/C][/ROW]
[ROW][C]0.55[/C][C]3410077.89932965[/C][C]38730.3148540623[/C][/ROW]
[ROW][C]0.56[/C][C]3418636.01213744[/C][C]34471.2696866196[/C][/ROW]
[ROW][C]0.57[/C][C]3426341.22357056[/C][C]31145.7676978361[/C][/ROW]
[ROW][C]0.58[/C][C]3433408.08327813[/C][C]28709.2146529755[/C][/ROW]
[ROW][C]0.59[/C][C]3440041.04923368[/C][C]27122.2257215565[/C][/ROW]
[ROW][C]0.6[/C][C]3446435.04371968[/C][C]26353.1852970182[/C][/ROW]
[ROW][C]0.61[/C][C]3452774.20202305[/C][C]26346.7065877438[/C][/ROW]
[ROW][C]0.62[/C][C]3459228.13283437[/C][C]27035.5976834645[/C][/ROW]
[ROW][C]0.63[/C][C]3465946.06884895[/C][C]28290.6695350179[/C][/ROW]
[ROW][C]0.64[/C][C]3473050.13314735[/C][C]29983.6141239933[/C][/ROW]
[ROW][C]0.65[/C][C]3480629.64041428[/C][C]31941.7373003427[/C][/ROW]
[ROW][C]0.66[/C][C]3488738.7669414[/C][C]33997.0805465684[/C][/ROW]
[ROW][C]0.67[/C][C]3497399.66266624[/C][C]36009.6696551919[/C][/ROW]
[ROW][C]0.68[/C][C]3506611.72693721[/C][C]37886.2034042696[/C][/ROW]
[ROW][C]0.69[/C][C]3516365.36162292[/C][C]39622.6868397395[/C][/ROW]
[ROW][C]0.7[/C][C]3526655.84931836[/C][C]41274.7549314979[/C][/ROW]
[ROW][C]0.71[/C][C]3537491.44897823[/C][C]42934.8981822779[/C][/ROW]
[ROW][C]0.72[/C][C]3548890.5650058[/C][C]44658.6235480369[/C][/ROW]
[ROW][C]0.73[/C][C]3560866.14183637[/C][C]46407.5513556257[/C][/ROW]
[ROW][C]0.74[/C][C]3573400.1655555[/C][C]48013.6011690311[/C][/ROW]
[ROW][C]0.75[/C][C]3586415.43086219[/C][C]49200.4614152917[/C][/ROW]
[ROW][C]0.76[/C][C]3599753.91985574[/C][C]49639.9830293564[/C][/ROW]
[ROW][C]0.77[/C][C]3613170.6170462[/C][C]49026.5798577358[/C][/ROW]
[ROW][C]0.78[/C][C]3626348.66666697[/C][C]47146.8904802787[/C][/ROW]
[ROW][C]0.79[/C][C]3638937.0342892[/C][C]43968.4197872782[/C][/ROW]
[ROW][C]0.8[/C][C]3650605.7130518[/C][C]39669.4366100315[/C][/ROW]
[ROW][C]0.81[/C][C]3661106.88160328[/C][C]34639.5426479173[/C][/ROW]
[ROW][C]0.82[/C][C]3670325.46526976[/C][C]29424.3580401127[/C][/ROW]
[ROW][C]0.83[/C][C]3678302.58004173[/C][C]24604.393045535[/C][/ROW]
[ROW][C]0.84[/C][C]3685222.60208825[/C][C]20664.4789571986[/C][/ROW]
[ROW][C]0.85[/C][C]3691367.42789095[/C][C]17876.7925087832[/C][/ROW]
[ROW][C]0.86[/C][C]3697053.68206151[/C][C]16232.2408054996[/C][/ROW]
[ROW][C]0.87[/C][C]3702573.22011557[/C][C]15496.7207079043[/C][/ROW]
[ROW][C]0.88[/C][C]3708152.68621031[/C][C]15337.2955299976[/C][/ROW]
[ROW][C]0.89[/C][C]3713940.63964091[/C][C]15434.2858623836[/C][/ROW]
[ROW][C]0.9[/C][C]3720029.28219123[/C][C]15570.4667410357[/C][/ROW]
[ROW][C]0.91[/C][C]3726520.94167749[/C][C]15725.2680602903[/C][/ROW]
[ROW][C]0.92[/C][C]3733648.19043474[/C][C]16194.9012741601[/C][/ROW]
[ROW][C]0.93[/C][C]3741965.35529554[/C][C]17632.3839780322[/C][/ROW]
[ROW][C]0.94[/C][C]3752693.03659802[/C][C]21087.8082081211[/C][/ROW]
[ROW][C]0.95[/C][C]3768298.54961247[/C][C]28659.7731978782[/C][/ROW]
[ROW][C]0.96[/C][C]3792762.0963313[/C][C]42875.3811928658[/C][/ROW]
[ROW][C]0.97[/C][C]3829715.90429826[/C][C]59514.0731371458[/C][/ROW]
[ROW][C]0.98[/C][C]3878197.51340608[/C][C]62917.135648248[/C][/ROW]
[ROW][C]0.99[/C][C]3930335.55259892[/C][C]51233.1628127442[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279897&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279897&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
0.011218442.21489145206329.141630016
0.021394737.23698628135923.969999678
0.031512143.93718495118304.969017082
0.041600358.98813776138147.735509566
0.051682462.61516097151417.088650291
0.061759690.62819937142639.915115669
0.071826492.59769416120814.224730289
0.081880565.5000384399940.8865813072
0.091924144.9931481888000.9047307284
0.11961548.7178998986513.2958398096
0.111996968.1925939293680.5230922694
0.122033468.57357034106336.685290663
0.132072735.74403293120804.059575554
0.142115139.65296308133611.440454369
0.152159994.26709722142249.494420782
0.162205982.22876251145689.46751902
0.172251648.56556796144427.874104863
0.182295822.3875722140079.640426011
0.192337859.02043432134678.613403499
0.22377676.02842558130052.782060798
0.212415631.15091752127383.915832956
0.222452325.87720612127069.942481768
0.232488413.18877382128903.468465903
0.242524458.45058371132293.226678644
0.252560868.12361487136591.650538054
0.262597875.22396225141209.957184812
0.272635558.34706728145677.749786292
0.282673871.43582969149637.785457536
0.292712669.74287497152769.601712824
0.32751728.12090165154781.05014618
0.312790756.20187148155405.295079375
0.322829418.44151595154459.187878943
0.332867364.95989984151926.33682186
0.342904273.21884111147974.066832209
0.352939893.77357372143011.905691852
0.362974088.73323348137605.922478085
0.373006851.24559972132389.674929419
0.383038298.51747272127904.049920176
0.393068637.97277081124491.864088529
0.43098113.50712993122176.040243769
0.413126943.99110661120702.356522418
0.423155267.87440628119566.442008889
0.433183105.91946482118158.729866168
0.443210349.62026483115876.356197525
0.453236776.98303955112266.578868583
0.463262091.33813787107086.598632139
0.473285973.94893838100376.497366339
0.483308138.5013827792408.8185699699
0.493328375.846263183630.7192574564
0.53346580.6337368874578.2655462662
0.513362756.7802477265752.1646631296
0.523377004.3542179957560.0409295016
0.533389494.6535323550265.7116090505
0.543400441.7912765643978.2655049297
0.553410077.8993296538730.3148540623
0.563418636.0121374434471.2696866196
0.573426341.2235705631145.7676978361
0.583433408.0832781328709.2146529755
0.593440041.0492336827122.2257215565
0.63446435.0437196826353.1852970182
0.613452774.2020230526346.7065877438
0.623459228.1328343727035.5976834645
0.633465946.0688489528290.6695350179
0.643473050.1331473529983.6141239933
0.653480629.6404142831941.7373003427
0.663488738.766941433997.0805465684
0.673497399.6626662436009.6696551919
0.683506611.7269372137886.2034042696
0.693516365.3616229239622.6868397395
0.73526655.8493183641274.7549314979
0.713537491.4489782342934.8981822779
0.723548890.565005844658.6235480369
0.733560866.1418363746407.5513556257
0.743573400.165555548013.6011690311
0.753586415.4308621949200.4614152917
0.763599753.9198557449639.9830293564
0.773613170.617046249026.5798577358
0.783626348.6666669747146.8904802787
0.793638937.034289243968.4197872782
0.83650605.713051839669.4366100315
0.813661106.8816032834639.5426479173
0.823670325.4652697629424.3580401127
0.833678302.5800417324604.393045535
0.843685222.6020882520664.4789571986
0.853691367.4278909517876.7925087832
0.863697053.6820615116232.2408054996
0.873702573.2201155715496.7207079043
0.883708152.6862103115337.2955299976
0.893713940.6396409115434.2858623836
0.93720029.2821912315570.4667410357
0.913726520.9416774915725.2680602903
0.923733648.1904347416194.9012741601
0.933741965.3552955417632.3839780322
0.943752693.0365980221087.8082081211
0.953768298.5496124728659.7731978782
0.963792762.096331342875.3811928658
0.973829715.9042982659514.0731371458
0.983878197.5134060862917.135648248
0.993930335.5525989251233.1628127442


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')