Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 06 Oct 2016 20:40:01 +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/2016/Oct/06/t1475782837itq1llxrbqylklf.htm/, Retrieved Sat, 04 May 2024 12:33:00 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sat, 04 May 2024 12:33:00 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0
Dataseries X:
103,75
103,89
104,01
104,28
104,34
104,48
104,56
104,71
104,79
104,87
104,95
105
105,05
105,57
105,98
106,45
107,13
107,87
108,56
109,04
109,98
110,4
110,99
111,23
111,76
112,18
112,88
113,54
114,11
114,8
115,56
116,03
116,98
117,65
118,12
118,6
119,03
119,82
120,76
121,4
122,12
123,08
123,86
124,46
125,14
125,89
126,32
126,93
127,48
128,28
129,11
130,23
131,04
132,2
133,12
134,48
135,74
136,88
138,12
139,99




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=0

As an alternative you can also use a 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'Gertrude Mary Cox' @ cox.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.01103.7904064571220.141530110719006
0.02103.8578526835160.159724332072789
0.03103.940529912910.187508495937446
0.04104.0293366550760.211792921010235
0.05104.1188283451020.225759199175742
0.06104.2058904140920.230212682311089
0.07104.2888523704040.229642035182497
0.08104.3671615831840.228383205891572
0.09104.4411614480140.229230972075284
0.1104.5118207589840.233313757861091
0.11104.5804972388820.241792228081724
0.12104.648821430430.256218185269494
0.13104.718698733440.279209957748001
0.14104.7923642715010.31395803653246
0.15104.8724158787410.36332532252142
0.16104.9617759785440.429290044182255
0.17105.0635681964780.512579737223136
0.18105.1809235550120.612465940592069
0.19105.3167483645660.727002003489747
0.2105.4734915801470.853128326473302
0.21105.6529459745010.98684589670411
0.22105.8561082397461.12390726272583
0.23106.0831113143831.25962653506968
0.24106.3332306565481.38989103795814
0.25106.6049568813761.51051963045511
0.26106.8961211838491.61852793432293
0.27107.2040573237751.7115366860573
0.28107.5257839646511.78804877007
0.29107.8581927930271.84767635208506
0.3108.1982300985641.89099992569014
0.31108.5430616760721.91920951663699
0.32108.8902127398571.93465164799413
0.33109.2376760981821.9399873506128
0.34109.5839834096011.93846373949366
0.35109.9282362471891.93338776238948
0.36110.2700961153191.92804567793543
0.37110.6097354628661.92537087864297
0.38110.947754855861.92773435748279
0.39111.2850743890961.93674235366728
0.4111.622809658431.95295968342312
0.41111.9621437904141.97642032923806
0.42112.3042069237682.00602148338912
0.43112.6499731845962.04033466869449
0.44113.0001828448812.07730145377445
0.45113.3552944051212.11505708975846
0.46113.7154682461532.15138606314628
0.47114.0805806395342.18478954275258
0.48114.4502645386592.21359494008998
0.49114.8239717809242.23711434323378
0.5115.2010500716622.25484377816131
0.51115.5808272931552.26688843512398
0.52115.9626952109122.27402794891271
0.53116.3461845433562.2773213983997
0.54116.7310237266992.27820009059315
0.55117.1171747089032.2786321193409
0.56117.5048408878162.28024551052027
0.57117.8944448975042.28449288788096
0.58118.2865771885932.29238179740295
0.59118.6819198890822.30444841824724
0.6119.0811537657422.32028717337898
0.61119.4848586800742.33903665887066
0.62119.8934192773812.35876465226057
0.63120.3069474953612.37759362408878
0.64120.7252318339332.39308881651479
0.65121.1477204652062.40318702019322
0.66121.5735416547382.40562824820092
0.67122.0015611637252.39911502161617
0.68122.4304728028022.38271470032408
0.69122.8589154456322.35647042672837
0.7123.2856077052962.32104324815843
0.71123.7094900562172.27802256348816
0.72124.1298632680722.22954962652719
0.73124.5465114435182.17875949255129
0.74124.9597977064392.12880183770624
0.75125.3707209014562.08321865701701
0.76125.7809230167612.04556824469157
0.77126.1926400476552.01876271770149
0.78126.6085942002152.00500440022382
0.79127.0318328007442.00521334440478
0.8127.4655283912642.01891974257114
0.81127.9127636601272.04412890499772
0.82128.3763315662052.07769079274081
0.83128.8585822435442.1156585618494
0.84129.361341340582.15384784694152
0.85129.8859082625022.18837966123796
0.86130.433119297032.21645127698808
0.87131.0034360408152.23606593272768
0.88131.5970047362452.2458489865633
0.89132.2136411023162.24462204073613
0.9132.8527416770032.23015102862284
0.91133.5132145991292.19916870310718
0.92134.1936537372732.14740754731286
0.93134.8931019263492.07126965146096
0.94135.612682212621.9707886513889
0.95136.3576258312411.85280017830529
0.96137.136934392381.73462578108184
0.97137.9539388678151.64828243967575
0.98138.779644872411.63911514537279
0.99139.5149927623411.72627171377632

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 103.790406457122 & 0.141530110719006 \tabularnewline
0.02 & 103.857852683516 & 0.159724332072789 \tabularnewline
0.03 & 103.94052991291 & 0.187508495937446 \tabularnewline
0.04 & 104.029336655076 & 0.211792921010235 \tabularnewline
0.05 & 104.118828345102 & 0.225759199175742 \tabularnewline
0.06 & 104.205890414092 & 0.230212682311089 \tabularnewline
0.07 & 104.288852370404 & 0.229642035182497 \tabularnewline
0.08 & 104.367161583184 & 0.228383205891572 \tabularnewline
0.09 & 104.441161448014 & 0.229230972075284 \tabularnewline
0.1 & 104.511820758984 & 0.233313757861091 \tabularnewline
0.11 & 104.580497238882 & 0.241792228081724 \tabularnewline
0.12 & 104.64882143043 & 0.256218185269494 \tabularnewline
0.13 & 104.71869873344 & 0.279209957748001 \tabularnewline
0.14 & 104.792364271501 & 0.31395803653246 \tabularnewline
0.15 & 104.872415878741 & 0.36332532252142 \tabularnewline
0.16 & 104.961775978544 & 0.429290044182255 \tabularnewline
0.17 & 105.063568196478 & 0.512579737223136 \tabularnewline
0.18 & 105.180923555012 & 0.612465940592069 \tabularnewline
0.19 & 105.316748364566 & 0.727002003489747 \tabularnewline
0.2 & 105.473491580147 & 0.853128326473302 \tabularnewline
0.21 & 105.652945974501 & 0.98684589670411 \tabularnewline
0.22 & 105.856108239746 & 1.12390726272583 \tabularnewline
0.23 & 106.083111314383 & 1.25962653506968 \tabularnewline
0.24 & 106.333230656548 & 1.38989103795814 \tabularnewline
0.25 & 106.604956881376 & 1.51051963045511 \tabularnewline
0.26 & 106.896121183849 & 1.61852793432293 \tabularnewline
0.27 & 107.204057323775 & 1.7115366860573 \tabularnewline
0.28 & 107.525783964651 & 1.78804877007 \tabularnewline
0.29 & 107.858192793027 & 1.84767635208506 \tabularnewline
0.3 & 108.198230098564 & 1.89099992569014 \tabularnewline
0.31 & 108.543061676072 & 1.91920951663699 \tabularnewline
0.32 & 108.890212739857 & 1.93465164799413 \tabularnewline
0.33 & 109.237676098182 & 1.9399873506128 \tabularnewline
0.34 & 109.583983409601 & 1.93846373949366 \tabularnewline
0.35 & 109.928236247189 & 1.93338776238948 \tabularnewline
0.36 & 110.270096115319 & 1.92804567793543 \tabularnewline
0.37 & 110.609735462866 & 1.92537087864297 \tabularnewline
0.38 & 110.94775485586 & 1.92773435748279 \tabularnewline
0.39 & 111.285074389096 & 1.93674235366728 \tabularnewline
0.4 & 111.62280965843 & 1.95295968342312 \tabularnewline
0.41 & 111.962143790414 & 1.97642032923806 \tabularnewline
0.42 & 112.304206923768 & 2.00602148338912 \tabularnewline
0.43 & 112.649973184596 & 2.04033466869449 \tabularnewline
0.44 & 113.000182844881 & 2.07730145377445 \tabularnewline
0.45 & 113.355294405121 & 2.11505708975846 \tabularnewline
0.46 & 113.715468246153 & 2.15138606314628 \tabularnewline
0.47 & 114.080580639534 & 2.18478954275258 \tabularnewline
0.48 & 114.450264538659 & 2.21359494008998 \tabularnewline
0.49 & 114.823971780924 & 2.23711434323378 \tabularnewline
0.5 & 115.201050071662 & 2.25484377816131 \tabularnewline
0.51 & 115.580827293155 & 2.26688843512398 \tabularnewline
0.52 & 115.962695210912 & 2.27402794891271 \tabularnewline
0.53 & 116.346184543356 & 2.2773213983997 \tabularnewline
0.54 & 116.731023726699 & 2.27820009059315 \tabularnewline
0.55 & 117.117174708903 & 2.2786321193409 \tabularnewline
0.56 & 117.504840887816 & 2.28024551052027 \tabularnewline
0.57 & 117.894444897504 & 2.28449288788096 \tabularnewline
0.58 & 118.286577188593 & 2.29238179740295 \tabularnewline
0.59 & 118.681919889082 & 2.30444841824724 \tabularnewline
0.6 & 119.081153765742 & 2.32028717337898 \tabularnewline
0.61 & 119.484858680074 & 2.33903665887066 \tabularnewline
0.62 & 119.893419277381 & 2.35876465226057 \tabularnewline
0.63 & 120.306947495361 & 2.37759362408878 \tabularnewline
0.64 & 120.725231833933 & 2.39308881651479 \tabularnewline
0.65 & 121.147720465206 & 2.40318702019322 \tabularnewline
0.66 & 121.573541654738 & 2.40562824820092 \tabularnewline
0.67 & 122.001561163725 & 2.39911502161617 \tabularnewline
0.68 & 122.430472802802 & 2.38271470032408 \tabularnewline
0.69 & 122.858915445632 & 2.35647042672837 \tabularnewline
0.7 & 123.285607705296 & 2.32104324815843 \tabularnewline
0.71 & 123.709490056217 & 2.27802256348816 \tabularnewline
0.72 & 124.129863268072 & 2.22954962652719 \tabularnewline
0.73 & 124.546511443518 & 2.17875949255129 \tabularnewline
0.74 & 124.959797706439 & 2.12880183770624 \tabularnewline
0.75 & 125.370720901456 & 2.08321865701701 \tabularnewline
0.76 & 125.780923016761 & 2.04556824469157 \tabularnewline
0.77 & 126.192640047655 & 2.01876271770149 \tabularnewline
0.78 & 126.608594200215 & 2.00500440022382 \tabularnewline
0.79 & 127.031832800744 & 2.00521334440478 \tabularnewline
0.8 & 127.465528391264 & 2.01891974257114 \tabularnewline
0.81 & 127.912763660127 & 2.04412890499772 \tabularnewline
0.82 & 128.376331566205 & 2.07769079274081 \tabularnewline
0.83 & 128.858582243544 & 2.1156585618494 \tabularnewline
0.84 & 129.36134134058 & 2.15384784694152 \tabularnewline
0.85 & 129.885908262502 & 2.18837966123796 \tabularnewline
0.86 & 130.43311929703 & 2.21645127698808 \tabularnewline
0.87 & 131.003436040815 & 2.23606593272768 \tabularnewline
0.88 & 131.597004736245 & 2.2458489865633 \tabularnewline
0.89 & 132.213641102316 & 2.24462204073613 \tabularnewline
0.9 & 132.852741677003 & 2.23015102862284 \tabularnewline
0.91 & 133.513214599129 & 2.19916870310718 \tabularnewline
0.92 & 134.193653737273 & 2.14740754731286 \tabularnewline
0.93 & 134.893101926349 & 2.07126965146096 \tabularnewline
0.94 & 135.61268221262 & 1.9707886513889 \tabularnewline
0.95 & 136.357625831241 & 1.85280017830529 \tabularnewline
0.96 & 137.13693439238 & 1.73462578108184 \tabularnewline
0.97 & 137.953938867815 & 1.64828243967575 \tabularnewline
0.98 & 138.77964487241 & 1.63911514537279 \tabularnewline
0.99 & 139.514992762341 & 1.72627171377632 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]103.790406457122[/C][C]0.141530110719006[/C][/ROW]
[ROW][C]0.02[/C][C]103.857852683516[/C][C]0.159724332072789[/C][/ROW]
[ROW][C]0.03[/C][C]103.94052991291[/C][C]0.187508495937446[/C][/ROW]
[ROW][C]0.04[/C][C]104.029336655076[/C][C]0.211792921010235[/C][/ROW]
[ROW][C]0.05[/C][C]104.118828345102[/C][C]0.225759199175742[/C][/ROW]
[ROW][C]0.06[/C][C]104.205890414092[/C][C]0.230212682311089[/C][/ROW]
[ROW][C]0.07[/C][C]104.288852370404[/C][C]0.229642035182497[/C][/ROW]
[ROW][C]0.08[/C][C]104.367161583184[/C][C]0.228383205891572[/C][/ROW]
[ROW][C]0.09[/C][C]104.441161448014[/C][C]0.229230972075284[/C][/ROW]
[ROW][C]0.1[/C][C]104.511820758984[/C][C]0.233313757861091[/C][/ROW]
[ROW][C]0.11[/C][C]104.580497238882[/C][C]0.241792228081724[/C][/ROW]
[ROW][C]0.12[/C][C]104.64882143043[/C][C]0.256218185269494[/C][/ROW]
[ROW][C]0.13[/C][C]104.71869873344[/C][C]0.279209957748001[/C][/ROW]
[ROW][C]0.14[/C][C]104.792364271501[/C][C]0.31395803653246[/C][/ROW]
[ROW][C]0.15[/C][C]104.872415878741[/C][C]0.36332532252142[/C][/ROW]
[ROW][C]0.16[/C][C]104.961775978544[/C][C]0.429290044182255[/C][/ROW]
[ROW][C]0.17[/C][C]105.063568196478[/C][C]0.512579737223136[/C][/ROW]
[ROW][C]0.18[/C][C]105.180923555012[/C][C]0.612465940592069[/C][/ROW]
[ROW][C]0.19[/C][C]105.316748364566[/C][C]0.727002003489747[/C][/ROW]
[ROW][C]0.2[/C][C]105.473491580147[/C][C]0.853128326473302[/C][/ROW]
[ROW][C]0.21[/C][C]105.652945974501[/C][C]0.98684589670411[/C][/ROW]
[ROW][C]0.22[/C][C]105.856108239746[/C][C]1.12390726272583[/C][/ROW]
[ROW][C]0.23[/C][C]106.083111314383[/C][C]1.25962653506968[/C][/ROW]
[ROW][C]0.24[/C][C]106.333230656548[/C][C]1.38989103795814[/C][/ROW]
[ROW][C]0.25[/C][C]106.604956881376[/C][C]1.51051963045511[/C][/ROW]
[ROW][C]0.26[/C][C]106.896121183849[/C][C]1.61852793432293[/C][/ROW]
[ROW][C]0.27[/C][C]107.204057323775[/C][C]1.7115366860573[/C][/ROW]
[ROW][C]0.28[/C][C]107.525783964651[/C][C]1.78804877007[/C][/ROW]
[ROW][C]0.29[/C][C]107.858192793027[/C][C]1.84767635208506[/C][/ROW]
[ROW][C]0.3[/C][C]108.198230098564[/C][C]1.89099992569014[/C][/ROW]
[ROW][C]0.31[/C][C]108.543061676072[/C][C]1.91920951663699[/C][/ROW]
[ROW][C]0.32[/C][C]108.890212739857[/C][C]1.93465164799413[/C][/ROW]
[ROW][C]0.33[/C][C]109.237676098182[/C][C]1.9399873506128[/C][/ROW]
[ROW][C]0.34[/C][C]109.583983409601[/C][C]1.93846373949366[/C][/ROW]
[ROW][C]0.35[/C][C]109.928236247189[/C][C]1.93338776238948[/C][/ROW]
[ROW][C]0.36[/C][C]110.270096115319[/C][C]1.92804567793543[/C][/ROW]
[ROW][C]0.37[/C][C]110.609735462866[/C][C]1.92537087864297[/C][/ROW]
[ROW][C]0.38[/C][C]110.94775485586[/C][C]1.92773435748279[/C][/ROW]
[ROW][C]0.39[/C][C]111.285074389096[/C][C]1.93674235366728[/C][/ROW]
[ROW][C]0.4[/C][C]111.62280965843[/C][C]1.95295968342312[/C][/ROW]
[ROW][C]0.41[/C][C]111.962143790414[/C][C]1.97642032923806[/C][/ROW]
[ROW][C]0.42[/C][C]112.304206923768[/C][C]2.00602148338912[/C][/ROW]
[ROW][C]0.43[/C][C]112.649973184596[/C][C]2.04033466869449[/C][/ROW]
[ROW][C]0.44[/C][C]113.000182844881[/C][C]2.07730145377445[/C][/ROW]
[ROW][C]0.45[/C][C]113.355294405121[/C][C]2.11505708975846[/C][/ROW]
[ROW][C]0.46[/C][C]113.715468246153[/C][C]2.15138606314628[/C][/ROW]
[ROW][C]0.47[/C][C]114.080580639534[/C][C]2.18478954275258[/C][/ROW]
[ROW][C]0.48[/C][C]114.450264538659[/C][C]2.21359494008998[/C][/ROW]
[ROW][C]0.49[/C][C]114.823971780924[/C][C]2.23711434323378[/C][/ROW]
[ROW][C]0.5[/C][C]115.201050071662[/C][C]2.25484377816131[/C][/ROW]
[ROW][C]0.51[/C][C]115.580827293155[/C][C]2.26688843512398[/C][/ROW]
[ROW][C]0.52[/C][C]115.962695210912[/C][C]2.27402794891271[/C][/ROW]
[ROW][C]0.53[/C][C]116.346184543356[/C][C]2.2773213983997[/C][/ROW]
[ROW][C]0.54[/C][C]116.731023726699[/C][C]2.27820009059315[/C][/ROW]
[ROW][C]0.55[/C][C]117.117174708903[/C][C]2.2786321193409[/C][/ROW]
[ROW][C]0.56[/C][C]117.504840887816[/C][C]2.28024551052027[/C][/ROW]
[ROW][C]0.57[/C][C]117.894444897504[/C][C]2.28449288788096[/C][/ROW]
[ROW][C]0.58[/C][C]118.286577188593[/C][C]2.29238179740295[/C][/ROW]
[ROW][C]0.59[/C][C]118.681919889082[/C][C]2.30444841824724[/C][/ROW]
[ROW][C]0.6[/C][C]119.081153765742[/C][C]2.32028717337898[/C][/ROW]
[ROW][C]0.61[/C][C]119.484858680074[/C][C]2.33903665887066[/C][/ROW]
[ROW][C]0.62[/C][C]119.893419277381[/C][C]2.35876465226057[/C][/ROW]
[ROW][C]0.63[/C][C]120.306947495361[/C][C]2.37759362408878[/C][/ROW]
[ROW][C]0.64[/C][C]120.725231833933[/C][C]2.39308881651479[/C][/ROW]
[ROW][C]0.65[/C][C]121.147720465206[/C][C]2.40318702019322[/C][/ROW]
[ROW][C]0.66[/C][C]121.573541654738[/C][C]2.40562824820092[/C][/ROW]
[ROW][C]0.67[/C][C]122.001561163725[/C][C]2.39911502161617[/C][/ROW]
[ROW][C]0.68[/C][C]122.430472802802[/C][C]2.38271470032408[/C][/ROW]
[ROW][C]0.69[/C][C]122.858915445632[/C][C]2.35647042672837[/C][/ROW]
[ROW][C]0.7[/C][C]123.285607705296[/C][C]2.32104324815843[/C][/ROW]
[ROW][C]0.71[/C][C]123.709490056217[/C][C]2.27802256348816[/C][/ROW]
[ROW][C]0.72[/C][C]124.129863268072[/C][C]2.22954962652719[/C][/ROW]
[ROW][C]0.73[/C][C]124.546511443518[/C][C]2.17875949255129[/C][/ROW]
[ROW][C]0.74[/C][C]124.959797706439[/C][C]2.12880183770624[/C][/ROW]
[ROW][C]0.75[/C][C]125.370720901456[/C][C]2.08321865701701[/C][/ROW]
[ROW][C]0.76[/C][C]125.780923016761[/C][C]2.04556824469157[/C][/ROW]
[ROW][C]0.77[/C][C]126.192640047655[/C][C]2.01876271770149[/C][/ROW]
[ROW][C]0.78[/C][C]126.608594200215[/C][C]2.00500440022382[/C][/ROW]
[ROW][C]0.79[/C][C]127.031832800744[/C][C]2.00521334440478[/C][/ROW]
[ROW][C]0.8[/C][C]127.465528391264[/C][C]2.01891974257114[/C][/ROW]
[ROW][C]0.81[/C][C]127.912763660127[/C][C]2.04412890499772[/C][/ROW]
[ROW][C]0.82[/C][C]128.376331566205[/C][C]2.07769079274081[/C][/ROW]
[ROW][C]0.83[/C][C]128.858582243544[/C][C]2.1156585618494[/C][/ROW]
[ROW][C]0.84[/C][C]129.36134134058[/C][C]2.15384784694152[/C][/ROW]
[ROW][C]0.85[/C][C]129.885908262502[/C][C]2.18837966123796[/C][/ROW]
[ROW][C]0.86[/C][C]130.43311929703[/C][C]2.21645127698808[/C][/ROW]
[ROW][C]0.87[/C][C]131.003436040815[/C][C]2.23606593272768[/C][/ROW]
[ROW][C]0.88[/C][C]131.597004736245[/C][C]2.2458489865633[/C][/ROW]
[ROW][C]0.89[/C][C]132.213641102316[/C][C]2.24462204073613[/C][/ROW]
[ROW][C]0.9[/C][C]132.852741677003[/C][C]2.23015102862284[/C][/ROW]
[ROW][C]0.91[/C][C]133.513214599129[/C][C]2.19916870310718[/C][/ROW]
[ROW][C]0.92[/C][C]134.193653737273[/C][C]2.14740754731286[/C][/ROW]
[ROW][C]0.93[/C][C]134.893101926349[/C][C]2.07126965146096[/C][/ROW]
[ROW][C]0.94[/C][C]135.61268221262[/C][C]1.9707886513889[/C][/ROW]
[ROW][C]0.95[/C][C]136.357625831241[/C][C]1.85280017830529[/C][/ROW]
[ROW][C]0.96[/C][C]137.13693439238[/C][C]1.73462578108184[/C][/ROW]
[ROW][C]0.97[/C][C]137.953938867815[/C][C]1.64828243967575[/C][/ROW]
[ROW][C]0.98[/C][C]138.77964487241[/C][C]1.63911514537279[/C][/ROW]
[ROW][C]0.99[/C][C]139.514992762341[/C][C]1.72627171377632[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.01103.7904064571220.141530110719006
0.02103.8578526835160.159724332072789
0.03103.940529912910.187508495937446
0.04104.0293366550760.211792921010235
0.05104.1188283451020.225759199175742
0.06104.2058904140920.230212682311089
0.07104.2888523704040.229642035182497
0.08104.3671615831840.228383205891572
0.09104.4411614480140.229230972075284
0.1104.5118207589840.233313757861091
0.11104.5804972388820.241792228081724
0.12104.648821430430.256218185269494
0.13104.718698733440.279209957748001
0.14104.7923642715010.31395803653246
0.15104.8724158787410.36332532252142
0.16104.9617759785440.429290044182255
0.17105.0635681964780.512579737223136
0.18105.1809235550120.612465940592069
0.19105.3167483645660.727002003489747
0.2105.4734915801470.853128326473302
0.21105.6529459745010.98684589670411
0.22105.8561082397461.12390726272583
0.23106.0831113143831.25962653506968
0.24106.3332306565481.38989103795814
0.25106.6049568813761.51051963045511
0.26106.8961211838491.61852793432293
0.27107.2040573237751.7115366860573
0.28107.5257839646511.78804877007
0.29107.8581927930271.84767635208506
0.3108.1982300985641.89099992569014
0.31108.5430616760721.91920951663699
0.32108.8902127398571.93465164799413
0.33109.2376760981821.9399873506128
0.34109.5839834096011.93846373949366
0.35109.9282362471891.93338776238948
0.36110.2700961153191.92804567793543
0.37110.6097354628661.92537087864297
0.38110.947754855861.92773435748279
0.39111.2850743890961.93674235366728
0.4111.622809658431.95295968342312
0.41111.9621437904141.97642032923806
0.42112.3042069237682.00602148338912
0.43112.6499731845962.04033466869449
0.44113.0001828448812.07730145377445
0.45113.3552944051212.11505708975846
0.46113.7154682461532.15138606314628
0.47114.0805806395342.18478954275258
0.48114.4502645386592.21359494008998
0.49114.8239717809242.23711434323378
0.5115.2010500716622.25484377816131
0.51115.5808272931552.26688843512398
0.52115.9626952109122.27402794891271
0.53116.3461845433562.2773213983997
0.54116.7310237266992.27820009059315
0.55117.1171747089032.2786321193409
0.56117.5048408878162.28024551052027
0.57117.8944448975042.28449288788096
0.58118.2865771885932.29238179740295
0.59118.6819198890822.30444841824724
0.6119.0811537657422.32028717337898
0.61119.4848586800742.33903665887066
0.62119.8934192773812.35876465226057
0.63120.3069474953612.37759362408878
0.64120.7252318339332.39308881651479
0.65121.1477204652062.40318702019322
0.66121.5735416547382.40562824820092
0.67122.0015611637252.39911502161617
0.68122.4304728028022.38271470032408
0.69122.8589154456322.35647042672837
0.7123.2856077052962.32104324815843
0.71123.7094900562172.27802256348816
0.72124.1298632680722.22954962652719
0.73124.5465114435182.17875949255129
0.74124.9597977064392.12880183770624
0.75125.3707209014562.08321865701701
0.76125.7809230167612.04556824469157
0.77126.1926400476552.01876271770149
0.78126.6085942002152.00500440022382
0.79127.0318328007442.00521334440478
0.8127.4655283912642.01891974257114
0.81127.9127636601272.04412890499772
0.82128.3763315662052.07769079274081
0.83128.8585822435442.1156585618494
0.84129.361341340582.15384784694152
0.85129.8859082625022.18837966123796
0.86130.433119297032.21645127698808
0.87131.0034360408152.23606593272768
0.88131.5970047362452.2458489865633
0.89132.2136411023162.24462204073613
0.9132.8527416770032.23015102862284
0.91133.5132145991292.19916870310718
0.92134.1936537372732.14740754731286
0.93134.8931019263492.07126965146096
0.94135.612682212621.9707886513889
0.95136.3576258312411.85280017830529
0.96137.136934392381.73462578108184
0.97137.9539388678151.64828243967575
0.98138.779644872411.63911514537279
0.99139.5149927623411.72627171377632



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')