FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 30 Nov 2015 15:03:26 +0000
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/Nov/30/t1448895839vew978vdntqbph8.htm/, Retrieved Tue, 14 May 2024 18:59:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=284606, Retrieved Tue, 14 May 2024 18:59:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact86

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] [] [2015-11-30 15:03:26] [f684f3a3d8618606ffff76ddc8e0eec7] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
94,9
95,8
98,8
100,6
100,6
100,1
99,4
99,9
101
100,4
101,6
106,8
109,3
112,6
118,8
121,9
118,3
117,9
119,2
116,3
119,2
118,7
120,3
120,5
124,3
128,3
131,4
130,3
126,6
121,8
125,1
128,5
129,5
128,5
127,2
126,2
125,9
127,3
125,7
122,5
121,3
121,5
123,4
121,6
121,8
118,9
118,7
119,8
118,5
118,9
117,4
116
115,5
116,5
114,9
113,9
114,3
112
108
97,7

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=284606&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]2 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=284606&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=284606&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 time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0195.21466167434181.06285038246967
0.0295.75513642645011.32860585539995
0.0396.4167549875211.50892666461599
0.0497.10016775267871.53277026674016
0.0597.7391788247211.43546109230852
0.0698.30128466041331.28314116034591
0.0798.77924962488991.1293194667793
0.0899.18185956355621.0074651550864
0.0999.52661565444010.939473625518595
0.199.83498981561370.943794697518635
0.11100.1298036300571.0357082118244
0.12100.4338346746181.22327219426262
0.13100.7688105541631.50382358310922
0.14101.1542968755241.86570740520914
0.15101.6063719224872.28895713251752
0.16102.136260326412.74692842694626
0.17102.7492247233883.20852410617529
0.18103.4440011283383.64110743521157
0.19104.2129511165134.01474022867989
0.2105.0429442810854.30580713959067
0.21105.9168304005854.4991875802631
0.22106.815253500044.58955159820753
0.23107.7185206487434.58046548194134
0.24108.6082656742094.48291844726187
0.25109.4687231571684.31299939234858
0.26110.2875238955414.08913552557937
0.27111.0560135734933.83004319978416
0.28111.7691638499253.55338973419716
0.29112.4251823049553.274112284793
0.3113.0249367151673.004015266553
0.31113.5712976977912.75194151080724
0.32114.0684813247142.52326038393443
0.33114.5214480552442.3206798907407
0.34114.9353917094732.14467357205987
0.35115.3153347158091.99319220032737
0.36115.6658337727761.8631712870559
0.37115.9907923239941.75030884608514
0.38116.2933713817671.65044184705137
0.39116.5759869349851.5589301441151
0.4116.84037958311.47228494990394
0.41117.087739806361.38759611915531
0.42117.3188704895261.30325484963253
0.43117.5343672840291.21877328493703
0.44117.7347974962071.13493752496485
0.45117.9208596863891.0529788587791
0.46118.0935090918470.975591078069555
0.47118.2540381292110.905377098012436
0.48118.4041061621950.845413475831388
0.49118.5457178999090.79834321299417
0.5118.6811546857710.766525129261462
0.51118.812867117780.751089358965696
0.52118.9433406387810.752272743406808
0.53119.0749478427560.768465831166561
0.54119.2098022708460.797369822527032
0.55119.3496284791490.835444198461774
0.56119.4956621973360.87880150920371
0.57119.6485924613080.92365608621186
0.58119.8085546481630.966177012345454
0.59119.9751793204291.00326233030641
0.6120.1476967223861.03256557829453
0.61120.325090839251.05293361984294
0.62120.5062905220881.06440098419541
0.63120.6903789381321.0683964586362
0.64120.8767973949641.06753217732616
0.65121.0655164196451.06584755981618
0.66121.2571468597431.0677855185793
0.67121.4529675208661.07840262040673
0.68121.6548538441621.10149733346547
0.69121.8651040903061.14002908244439
0.7122.0861743659531.1940517131769
0.71122.3203497043981.26133059441352
0.72122.5693927047511.33733449652239
0.73122.8342210116911.41553509098182
0.74123.1146674428231.48849270427691
0.75123.4093699513561.54893082278419
0.76123.7158224416981.59033835273735
0.77124.0305932575191.6080955080185
0.78124.3496894589421.60030827088669
0.79124.6690168881.56747631856049
0.8124.9848642187281.51332331116041
0.81125.2943288427471.44357975358662
0.82125.5956069694011.36542745608741
0.83125.8880907990171.28636556336807
0.84126.1722509248791.21252991051063
0.85126.4493294076871.14800268602968
0.86126.7209235973941.09364193992122
0.87126.9885942658581.04730303396476
0.88127.2536677155871.00506905069841
0.89127.5173935808790.962685143745291
0.9127.7815367910930.91856390714562
0.91128.049310094450.876060105730344
0.92128.3263331637950.844227320052477
0.93128.6211489168830.834915158375162
0.94128.9448522486180.854100966027326
0.95129.309481795590.89374829604484
0.96129.7244245923620.93442840339226
0.97130.1886298070010.961653495220523
0.98130.6756578936290.984906302044758
0.99131.115585692821.02877273192003

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 95.2146616743418 & 1.06285038246967 \tabularnewline
0.02 & 95.7551364264501 & 1.32860585539995 \tabularnewline
0.03 & 96.416754987521 & 1.50892666461599 \tabularnewline
0.04 & 97.1001677526787 & 1.53277026674016 \tabularnewline
0.05 & 97.739178824721 & 1.43546109230852 \tabularnewline
0.06 & 98.3012846604133 & 1.28314116034591 \tabularnewline
0.07 & 98.7792496248899 & 1.1293194667793 \tabularnewline
0.08 & 99.1818595635562 & 1.0074651550864 \tabularnewline
0.09 & 99.5266156544401 & 0.939473625518595 \tabularnewline
0.1 & 99.8349898156137 & 0.943794697518635 \tabularnewline
0.11 & 100.129803630057 & 1.0357082118244 \tabularnewline
0.12 & 100.433834674618 & 1.22327219426262 \tabularnewline
0.13 & 100.768810554163 & 1.50382358310922 \tabularnewline
0.14 & 101.154296875524 & 1.86570740520914 \tabularnewline
0.15 & 101.606371922487 & 2.28895713251752 \tabularnewline
0.16 & 102.13626032641 & 2.74692842694626 \tabularnewline
0.17 & 102.749224723388 & 3.20852410617529 \tabularnewline
0.18 & 103.444001128338 & 3.64110743521157 \tabularnewline
0.19 & 104.212951116513 & 4.01474022867989 \tabularnewline
0.2 & 105.042944281085 & 4.30580713959067 \tabularnewline
0.21 & 105.916830400585 & 4.4991875802631 \tabularnewline
0.22 & 106.81525350004 & 4.58955159820753 \tabularnewline
0.23 & 107.718520648743 & 4.58046548194134 \tabularnewline
0.24 & 108.608265674209 & 4.48291844726187 \tabularnewline
0.25 & 109.468723157168 & 4.31299939234858 \tabularnewline
0.26 & 110.287523895541 & 4.08913552557937 \tabularnewline
0.27 & 111.056013573493 & 3.83004319978416 \tabularnewline
0.28 & 111.769163849925 & 3.55338973419716 \tabularnewline
0.29 & 112.425182304955 & 3.274112284793 \tabularnewline
0.3 & 113.024936715167 & 3.004015266553 \tabularnewline
0.31 & 113.571297697791 & 2.75194151080724 \tabularnewline
0.32 & 114.068481324714 & 2.52326038393443 \tabularnewline
0.33 & 114.521448055244 & 2.3206798907407 \tabularnewline
0.34 & 114.935391709473 & 2.14467357205987 \tabularnewline
0.35 & 115.315334715809 & 1.99319220032737 \tabularnewline
0.36 & 115.665833772776 & 1.8631712870559 \tabularnewline
0.37 & 115.990792323994 & 1.75030884608514 \tabularnewline
0.38 & 116.293371381767 & 1.65044184705137 \tabularnewline
0.39 & 116.575986934985 & 1.5589301441151 \tabularnewline
0.4 & 116.8403795831 & 1.47228494990394 \tabularnewline
0.41 & 117.08773980636 & 1.38759611915531 \tabularnewline
0.42 & 117.318870489526 & 1.30325484963253 \tabularnewline
0.43 & 117.534367284029 & 1.21877328493703 \tabularnewline
0.44 & 117.734797496207 & 1.13493752496485 \tabularnewline
0.45 & 117.920859686389 & 1.0529788587791 \tabularnewline
0.46 & 118.093509091847 & 0.975591078069555 \tabularnewline
0.47 & 118.254038129211 & 0.905377098012436 \tabularnewline
0.48 & 118.404106162195 & 0.845413475831388 \tabularnewline
0.49 & 118.545717899909 & 0.79834321299417 \tabularnewline
0.5 & 118.681154685771 & 0.766525129261462 \tabularnewline
0.51 & 118.81286711778 & 0.751089358965696 \tabularnewline
0.52 & 118.943340638781 & 0.752272743406808 \tabularnewline
0.53 & 119.074947842756 & 0.768465831166561 \tabularnewline
0.54 & 119.209802270846 & 0.797369822527032 \tabularnewline
0.55 & 119.349628479149 & 0.835444198461774 \tabularnewline
0.56 & 119.495662197336 & 0.87880150920371 \tabularnewline
0.57 & 119.648592461308 & 0.92365608621186 \tabularnewline
0.58 & 119.808554648163 & 0.966177012345454 \tabularnewline
0.59 & 119.975179320429 & 1.00326233030641 \tabularnewline
0.6 & 120.147696722386 & 1.03256557829453 \tabularnewline
0.61 & 120.32509083925 & 1.05293361984294 \tabularnewline
0.62 & 120.506290522088 & 1.06440098419541 \tabularnewline
0.63 & 120.690378938132 & 1.0683964586362 \tabularnewline
0.64 & 120.876797394964 & 1.06753217732616 \tabularnewline
0.65 & 121.065516419645 & 1.06584755981618 \tabularnewline
0.66 & 121.257146859743 & 1.0677855185793 \tabularnewline
0.67 & 121.452967520866 & 1.07840262040673 \tabularnewline
0.68 & 121.654853844162 & 1.10149733346547 \tabularnewline
0.69 & 121.865104090306 & 1.14002908244439 \tabularnewline
0.7 & 122.086174365953 & 1.1940517131769 \tabularnewline
0.71 & 122.320349704398 & 1.26133059441352 \tabularnewline
0.72 & 122.569392704751 & 1.33733449652239 \tabularnewline
0.73 & 122.834221011691 & 1.41553509098182 \tabularnewline
0.74 & 123.114667442823 & 1.48849270427691 \tabularnewline
0.75 & 123.409369951356 & 1.54893082278419 \tabularnewline
0.76 & 123.715822441698 & 1.59033835273735 \tabularnewline
0.77 & 124.030593257519 & 1.6080955080185 \tabularnewline
0.78 & 124.349689458942 & 1.60030827088669 \tabularnewline
0.79 & 124.669016888 & 1.56747631856049 \tabularnewline
0.8 & 124.984864218728 & 1.51332331116041 \tabularnewline
0.81 & 125.294328842747 & 1.44357975358662 \tabularnewline
0.82 & 125.595606969401 & 1.36542745608741 \tabularnewline
0.83 & 125.888090799017 & 1.28636556336807 \tabularnewline
0.84 & 126.172250924879 & 1.21252991051063 \tabularnewline
0.85 & 126.449329407687 & 1.14800268602968 \tabularnewline
0.86 & 126.720923597394 & 1.09364193992122 \tabularnewline
0.87 & 126.988594265858 & 1.04730303396476 \tabularnewline
0.88 & 127.253667715587 & 1.00506905069841 \tabularnewline
0.89 & 127.517393580879 & 0.962685143745291 \tabularnewline
0.9 & 127.781536791093 & 0.91856390714562 \tabularnewline
0.91 & 128.04931009445 & 0.876060105730344 \tabularnewline
0.92 & 128.326333163795 & 0.844227320052477 \tabularnewline
0.93 & 128.621148916883 & 0.834915158375162 \tabularnewline
0.94 & 128.944852248618 & 0.854100966027326 \tabularnewline
0.95 & 129.30948179559 & 0.89374829604484 \tabularnewline
0.96 & 129.724424592362 & 0.93442840339226 \tabularnewline
0.97 & 130.188629807001 & 0.961653495220523 \tabularnewline
0.98 & 130.675657893629 & 0.984906302044758 \tabularnewline
0.99 & 131.11558569282 & 1.02877273192003 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=284606&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]95.2146616743418[/C][C]1.06285038246967[/C][/ROW]
[ROW][C]0.02[/C][C]95.7551364264501[/C][C]1.32860585539995[/C][/ROW]
[ROW][C]0.03[/C][C]96.416754987521[/C][C]1.50892666461599[/C][/ROW]
[ROW][C]0.04[/C][C]97.1001677526787[/C][C]1.53277026674016[/C][/ROW]
[ROW][C]0.05[/C][C]97.739178824721[/C][C]1.43546109230852[/C][/ROW]
[ROW][C]0.06[/C][C]98.3012846604133[/C][C]1.28314116034591[/C][/ROW]
[ROW][C]0.07[/C][C]98.7792496248899[/C][C]1.1293194667793[/C][/ROW]
[ROW][C]0.08[/C][C]99.1818595635562[/C][C]1.0074651550864[/C][/ROW]
[ROW][C]0.09[/C][C]99.5266156544401[/C][C]0.939473625518595[/C][/ROW]
[ROW][C]0.1[/C][C]99.8349898156137[/C][C]0.943794697518635[/C][/ROW]
[ROW][C]0.11[/C][C]100.129803630057[/C][C]1.0357082118244[/C][/ROW]
[ROW][C]0.12[/C][C]100.433834674618[/C][C]1.22327219426262[/C][/ROW]
[ROW][C]0.13[/C][C]100.768810554163[/C][C]1.50382358310922[/C][/ROW]
[ROW][C]0.14[/C][C]101.154296875524[/C][C]1.86570740520914[/C][/ROW]
[ROW][C]0.15[/C][C]101.606371922487[/C][C]2.28895713251752[/C][/ROW]
[ROW][C]0.16[/C][C]102.13626032641[/C][C]2.74692842694626[/C][/ROW]
[ROW][C]0.17[/C][C]102.749224723388[/C][C]3.20852410617529[/C][/ROW]
[ROW][C]0.18[/C][C]103.444001128338[/C][C]3.64110743521157[/C][/ROW]
[ROW][C]0.19[/C][C]104.212951116513[/C][C]4.01474022867989[/C][/ROW]
[ROW][C]0.2[/C][C]105.042944281085[/C][C]4.30580713959067[/C][/ROW]
[ROW][C]0.21[/C][C]105.916830400585[/C][C]4.4991875802631[/C][/ROW]
[ROW][C]0.22[/C][C]106.81525350004[/C][C]4.58955159820753[/C][/ROW]
[ROW][C]0.23[/C][C]107.718520648743[/C][C]4.58046548194134[/C][/ROW]
[ROW][C]0.24[/C][C]108.608265674209[/C][C]4.48291844726187[/C][/ROW]
[ROW][C]0.25[/C][C]109.468723157168[/C][C]4.31299939234858[/C][/ROW]
[ROW][C]0.26[/C][C]110.287523895541[/C][C]4.08913552557937[/C][/ROW]
[ROW][C]0.27[/C][C]111.056013573493[/C][C]3.83004319978416[/C][/ROW]
[ROW][C]0.28[/C][C]111.769163849925[/C][C]3.55338973419716[/C][/ROW]
[ROW][C]0.29[/C][C]112.425182304955[/C][C]3.274112284793[/C][/ROW]
[ROW][C]0.3[/C][C]113.024936715167[/C][C]3.004015266553[/C][/ROW]
[ROW][C]0.31[/C][C]113.571297697791[/C][C]2.75194151080724[/C][/ROW]
[ROW][C]0.32[/C][C]114.068481324714[/C][C]2.52326038393443[/C][/ROW]
[ROW][C]0.33[/C][C]114.521448055244[/C][C]2.3206798907407[/C][/ROW]
[ROW][C]0.34[/C][C]114.935391709473[/C][C]2.14467357205987[/C][/ROW]
[ROW][C]0.35[/C][C]115.315334715809[/C][C]1.99319220032737[/C][/ROW]
[ROW][C]0.36[/C][C]115.665833772776[/C][C]1.8631712870559[/C][/ROW]
[ROW][C]0.37[/C][C]115.990792323994[/C][C]1.75030884608514[/C][/ROW]
[ROW][C]0.38[/C][C]116.293371381767[/C][C]1.65044184705137[/C][/ROW]
[ROW][C]0.39[/C][C]116.575986934985[/C][C]1.5589301441151[/C][/ROW]
[ROW][C]0.4[/C][C]116.8403795831[/C][C]1.47228494990394[/C][/ROW]
[ROW][C]0.41[/C][C]117.08773980636[/C][C]1.38759611915531[/C][/ROW]
[ROW][C]0.42[/C][C]117.318870489526[/C][C]1.30325484963253[/C][/ROW]
[ROW][C]0.43[/C][C]117.534367284029[/C][C]1.21877328493703[/C][/ROW]
[ROW][C]0.44[/C][C]117.734797496207[/C][C]1.13493752496485[/C][/ROW]
[ROW][C]0.45[/C][C]117.920859686389[/C][C]1.0529788587791[/C][/ROW]
[ROW][C]0.46[/C][C]118.093509091847[/C][C]0.975591078069555[/C][/ROW]
[ROW][C]0.47[/C][C]118.254038129211[/C][C]0.905377098012436[/C][/ROW]
[ROW][C]0.48[/C][C]118.404106162195[/C][C]0.845413475831388[/C][/ROW]
[ROW][C]0.49[/C][C]118.545717899909[/C][C]0.79834321299417[/C][/ROW]
[ROW][C]0.5[/C][C]118.681154685771[/C][C]0.766525129261462[/C][/ROW]
[ROW][C]0.51[/C][C]118.81286711778[/C][C]0.751089358965696[/C][/ROW]
[ROW][C]0.52[/C][C]118.943340638781[/C][C]0.752272743406808[/C][/ROW]
[ROW][C]0.53[/C][C]119.074947842756[/C][C]0.768465831166561[/C][/ROW]
[ROW][C]0.54[/C][C]119.209802270846[/C][C]0.797369822527032[/C][/ROW]
[ROW][C]0.55[/C][C]119.349628479149[/C][C]0.835444198461774[/C][/ROW]
[ROW][C]0.56[/C][C]119.495662197336[/C][C]0.87880150920371[/C][/ROW]
[ROW][C]0.57[/C][C]119.648592461308[/C][C]0.92365608621186[/C][/ROW]
[ROW][C]0.58[/C][C]119.808554648163[/C][C]0.966177012345454[/C][/ROW]
[ROW][C]0.59[/C][C]119.975179320429[/C][C]1.00326233030641[/C][/ROW]
[ROW][C]0.6[/C][C]120.147696722386[/C][C]1.03256557829453[/C][/ROW]
[ROW][C]0.61[/C][C]120.32509083925[/C][C]1.05293361984294[/C][/ROW]
[ROW][C]0.62[/C][C]120.506290522088[/C][C]1.06440098419541[/C][/ROW]
[ROW][C]0.63[/C][C]120.690378938132[/C][C]1.0683964586362[/C][/ROW]
[ROW][C]0.64[/C][C]120.876797394964[/C][C]1.06753217732616[/C][/ROW]
[ROW][C]0.65[/C][C]121.065516419645[/C][C]1.06584755981618[/C][/ROW]
[ROW][C]0.66[/C][C]121.257146859743[/C][C]1.0677855185793[/C][/ROW]
[ROW][C]0.67[/C][C]121.452967520866[/C][C]1.07840262040673[/C][/ROW]
[ROW][C]0.68[/C][C]121.654853844162[/C][C]1.10149733346547[/C][/ROW]
[ROW][C]0.69[/C][C]121.865104090306[/C][C]1.14002908244439[/C][/ROW]
[ROW][C]0.7[/C][C]122.086174365953[/C][C]1.1940517131769[/C][/ROW]
[ROW][C]0.71[/C][C]122.320349704398[/C][C]1.26133059441352[/C][/ROW]
[ROW][C]0.72[/C][C]122.569392704751[/C][C]1.33733449652239[/C][/ROW]
[ROW][C]0.73[/C][C]122.834221011691[/C][C]1.41553509098182[/C][/ROW]
[ROW][C]0.74[/C][C]123.114667442823[/C][C]1.48849270427691[/C][/ROW]
[ROW][C]0.75[/C][C]123.409369951356[/C][C]1.54893082278419[/C][/ROW]
[ROW][C]0.76[/C][C]123.715822441698[/C][C]1.59033835273735[/C][/ROW]
[ROW][C]0.77[/C][C]124.030593257519[/C][C]1.6080955080185[/C][/ROW]
[ROW][C]0.78[/C][C]124.349689458942[/C][C]1.60030827088669[/C][/ROW]
[ROW][C]0.79[/C][C]124.669016888[/C][C]1.56747631856049[/C][/ROW]
[ROW][C]0.8[/C][C]124.984864218728[/C][C]1.51332331116041[/C][/ROW]
[ROW][C]0.81[/C][C]125.294328842747[/C][C]1.44357975358662[/C][/ROW]
[ROW][C]0.82[/C][C]125.595606969401[/C][C]1.36542745608741[/C][/ROW]
[ROW][C]0.83[/C][C]125.888090799017[/C][C]1.28636556336807[/C][/ROW]
[ROW][C]0.84[/C][C]126.172250924879[/C][C]1.21252991051063[/C][/ROW]
[ROW][C]0.85[/C][C]126.449329407687[/C][C]1.14800268602968[/C][/ROW]
[ROW][C]0.86[/C][C]126.720923597394[/C][C]1.09364193992122[/C][/ROW]
[ROW][C]0.87[/C][C]126.988594265858[/C][C]1.04730303396476[/C][/ROW]
[ROW][C]0.88[/C][C]127.253667715587[/C][C]1.00506905069841[/C][/ROW]
[ROW][C]0.89[/C][C]127.517393580879[/C][C]0.962685143745291[/C][/ROW]
[ROW][C]0.9[/C][C]127.781536791093[/C][C]0.91856390714562[/C][/ROW]
[ROW][C]0.91[/C][C]128.04931009445[/C][C]0.876060105730344[/C][/ROW]
[ROW][C]0.92[/C][C]128.326333163795[/C][C]0.844227320052477[/C][/ROW]
[ROW][C]0.93[/C][C]128.621148916883[/C][C]0.834915158375162[/C][/ROW]
[ROW][C]0.94[/C][C]128.944852248618[/C][C]0.854100966027326[/C][/ROW]
[ROW][C]0.95[/C][C]129.30948179559[/C][C]0.89374829604484[/C][/ROW]
[ROW][C]0.96[/C][C]129.724424592362[/C][C]0.93442840339226[/C][/ROW]
[ROW][C]0.97[/C][C]130.188629807001[/C][C]0.961653495220523[/C][/ROW]
[ROW][C]0.98[/C][C]130.675657893629[/C][C]0.984906302044758[/C][/ROW]
[ROW][C]0.99[/C][C]131.11558569282[/C][C]1.02877273192003[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=284606&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=284606&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
0.0195.21466167434181.06285038246967
0.0295.75513642645011.32860585539995
0.0396.4167549875211.50892666461599
0.0497.10016775267871.53277026674016
0.0597.7391788247211.43546109230852
0.0698.30128466041331.28314116034591
0.0798.77924962488991.1293194667793
0.0899.18185956355621.0074651550864
0.0999.52661565444010.939473625518595
0.199.83498981561370.943794697518635
0.11100.1298036300571.0357082118244
0.12100.4338346746181.22327219426262
0.13100.7688105541631.50382358310922
0.14101.1542968755241.86570740520914
0.15101.6063719224872.28895713251752
0.16102.136260326412.74692842694626
0.17102.7492247233883.20852410617529
0.18103.4440011283383.64110743521157
0.19104.2129511165134.01474022867989
0.2105.0429442810854.30580713959067
0.21105.9168304005854.4991875802631
0.22106.815253500044.58955159820753
0.23107.7185206487434.58046548194134
0.24108.6082656742094.48291844726187
0.25109.4687231571684.31299939234858
0.26110.2875238955414.08913552557937
0.27111.0560135734933.83004319978416
0.28111.7691638499253.55338973419716
0.29112.4251823049553.274112284793
0.3113.0249367151673.004015266553
0.31113.5712976977912.75194151080724
0.32114.0684813247142.52326038393443
0.33114.5214480552442.3206798907407
0.34114.9353917094732.14467357205987
0.35115.3153347158091.99319220032737
0.36115.6658337727761.8631712870559
0.37115.9907923239941.75030884608514
0.38116.2933713817671.65044184705137
0.39116.5759869349851.5589301441151
0.4116.84037958311.47228494990394
0.41117.087739806361.38759611915531
0.42117.3188704895261.30325484963253
0.43117.5343672840291.21877328493703
0.44117.7347974962071.13493752496485
0.45117.9208596863891.0529788587791
0.46118.0935090918470.975591078069555
0.47118.2540381292110.905377098012436
0.48118.4041061621950.845413475831388
0.49118.5457178999090.79834321299417
0.5118.6811546857710.766525129261462
0.51118.812867117780.751089358965696
0.52118.9433406387810.752272743406808
0.53119.0749478427560.768465831166561
0.54119.2098022708460.797369822527032
0.55119.3496284791490.835444198461774
0.56119.4956621973360.87880150920371
0.57119.6485924613080.92365608621186
0.58119.8085546481630.966177012345454
0.59119.9751793204291.00326233030641
0.6120.1476967223861.03256557829453
0.61120.325090839251.05293361984294
0.62120.5062905220881.06440098419541
0.63120.6903789381321.0683964586362
0.64120.8767973949641.06753217732616
0.65121.0655164196451.06584755981618
0.66121.2571468597431.0677855185793
0.67121.4529675208661.07840262040673
0.68121.6548538441621.10149733346547
0.69121.8651040903061.14002908244439
0.7122.0861743659531.1940517131769
0.71122.3203497043981.26133059441352
0.72122.5693927047511.33733449652239
0.73122.8342210116911.41553509098182
0.74123.1146674428231.48849270427691
0.75123.4093699513561.54893082278419
0.76123.7158224416981.59033835273735
0.77124.0305932575191.6080955080185
0.78124.3496894589421.60030827088669
0.79124.6690168881.56747631856049
0.8124.9848642187281.51332331116041
0.81125.2943288427471.44357975358662
0.82125.5956069694011.36542745608741
0.83125.8880907990171.28636556336807
0.84126.1722509248791.21252991051063
0.85126.4493294076871.14800268602968
0.86126.7209235973941.09364193992122
0.87126.9885942658581.04730303396476
0.88127.2536677155871.00506905069841
0.89127.5173935808790.962685143745291
0.9127.7815367910930.91856390714562
0.91128.049310094450.876060105730344
0.92128.3263331637950.844227320052477
0.93128.6211489168830.834915158375162
0.94128.9448522486180.854100966027326
0.95129.309481795590.89374829604484
0.96129.7244245923620.93442840339226
0.97130.1886298070010.961653495220523
0.98130.6756578936290.984906302044758
0.99131.115585692821.02877273192003


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')