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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 computationTue, 04 Oct 2016 20:10:24 +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/04/t14756082609ssmoltbc28ditg.htm/, Retrieved Sun, 19 May 2024 02:51:21 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sun, 19 May 2024 02:51:21 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
90.89
91.1
91.35
91.52
91.45
91.88
91.9
91.92
92
92
92.2
92.34
92.29
92.37
92.58
92.73
92.78
92.82
92.82
92.99
93.18
93.88
94.29
94.04
93.6
95.99
98.1
98.7
99.31
99.58
99.68
102.38
102.69
103.01
103.35
103.61
102.59
102.75
102.88
102.85
103.16
103.17
103.04
103.09
103.12
103.68
103.75
103.81
104.23
104.58
104.76
104.83
104.88
105.7
105.34
105.57
105.66
105.7
105.76
105.76

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=&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=&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:  
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
0.0190.94923197772630.209338728487715
0.0291.04382953636460.217416929380342
0.0391.15248454218940.225244694949704
0.0491.26057460467820.229659782870361
0.0591.36205655977940.233305609558548
0.0691.45596429672350.237860475649986
0.0791.54304375091110.241090970039083
0.0891.62402244605910.239818736796636
0.0991.69918935402440.233132338159754
0.191.76862649107940.222589513693336
0.1191.83257950146210.211457621224887
0.1291.89168381952230.203357861588894
0.1391.94696765592980.200431881108024
0.1491.99968851552570.203152980821077
0.1592.0511115416910.21056112556935
0.1692.10232369326130.221131941188036
0.1792.15413280501360.233119601909181
0.1892.2070563074790.2456835527711
0.1992.26137722410180.25817567746555
0.292.31723705277030.270484720936107
0.2192.37474010328680.282994328839632
0.2292.43405378420070.296578371320141
0.2392.4954982240970.312294421691175
0.2492.55962372744720.331873594204171
0.2592.62727585702550.357296898926376
0.2692.69964681602770.391132160716955
0.2792.77830995884310.435784291656147
0.2892.86523290023310.494072291966253
0.2992.9627643220970.568143366847787
0.393.07359015564890.659958452928314
0.3193.20065610373990.770710630172498
0.3293.34705532029180.900905313714368
0.3393.51588254825661.05030410335499
0.3493.71005930321341.21693854839241
0.3593.93213879942881.3981527989385
0.3694.18410388148821.58989018633044
0.3794.46717539521411.78654168072393
0.3894.78165100649951.9818372524506
0.3995.1267942584752.16893859584528
0.495.50078990103432.34088633746523
0.4195.90077431851812.49122976469419
0.4296.3229402872022.61481777714797
0.4396.76270518908272.70733843161139
0.4497.21492341103352.76663935858714
0.4597.67411890522652.79153787468632
0.4698.13471384632422.78291223001301
0.4798.59123384688112.74229874660861
0.4899.03847794002182.67203001953984
0.4999.47165035064842.57513117993184
0.599.88645861906922.45453002137095
0.51100.279187085142.31364914699361
0.52100.6467552745632.1560222778139
0.53100.9867677394521.9853920864982
0.54101.2975567890621.80583466544688
0.55101.5782142210191.6216353947397
0.56101.8286044523661.43741246424389
0.57102.0493505418581.25778070381005
0.58102.24178673941.08705751459056
0.59102.4078757117320.929013266256463
0.6102.5500941480540.786706664504163
0.61102.6712955267840.662331317977285
0.62102.7745621766690.557049684585735
0.63102.8630597387070.471389074381609
0.64102.939905777170.404926512331158
0.65103.0080612252860.356557927402084
0.66103.070249510050.324748297914788
0.67103.1289044759960.307460931891123
0.68103.1861452192820.30217444723498
0.69103.2437738410240.306383528082149
0.7103.3032907773240.317767482660547
0.71103.3659214677250.334440147205334
0.72103.4326475073350.354880861519604
0.73103.5042352232030.377883134956285
0.74103.5812552855390.402566425099707
0.75103.6640890960790.428059048228024
0.76103.7529216090170.453363901936049
0.77103.8477255435080.477443817891103
0.78103.9482472668660.498974975908143
0.79104.0540077325850.516555882855027
0.8104.1643303205270.528949585599048
0.81104.2783997596660.535417618049157
0.82104.3953432238370.535781953528309
0.83104.5143098731850.530680185347699
0.84104.6345149141490.521301021694987
0.85104.7552157856590.508834692882114
0.86104.8756060183150.49394166961206
0.87104.9946453724520.476051143771308
0.88105.1108837513930.45341471782254
0.89105.2223649792580.423653049446554
0.9105.3266969498890.384708187911998
0.91105.4213350768680.336125191846667
0.92105.5040482447080.279916440054771
0.93105.5734404271140.220312804997474
0.94105.629324543740.163172782877969
0.95105.6727388144380.114096401195244
0.96105.7055095516690.0767219687047305
0.97105.7295094811190.0504796787958954
0.98105.7460442017760.0306694866219043
0.99105.7558775993770.0131392781013802

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 90.9492319777263 & 0.209338728487715 \tabularnewline
0.02 & 91.0438295363646 & 0.217416929380342 \tabularnewline
0.03 & 91.1524845421894 & 0.225244694949704 \tabularnewline
0.04 & 91.2605746046782 & 0.229659782870361 \tabularnewline
0.05 & 91.3620565597794 & 0.233305609558548 \tabularnewline
0.06 & 91.4559642967235 & 0.237860475649986 \tabularnewline
0.07 & 91.5430437509111 & 0.241090970039083 \tabularnewline
0.08 & 91.6240224460591 & 0.239818736796636 \tabularnewline
0.09 & 91.6991893540244 & 0.233132338159754 \tabularnewline
0.1 & 91.7686264910794 & 0.222589513693336 \tabularnewline
0.11 & 91.8325795014621 & 0.211457621224887 \tabularnewline
0.12 & 91.8916838195223 & 0.203357861588894 \tabularnewline
0.13 & 91.9469676559298 & 0.200431881108024 \tabularnewline
0.14 & 91.9996885155257 & 0.203152980821077 \tabularnewline
0.15 & 92.051111541691 & 0.21056112556935 \tabularnewline
0.16 & 92.1023236932613 & 0.221131941188036 \tabularnewline
0.17 & 92.1541328050136 & 0.233119601909181 \tabularnewline
0.18 & 92.207056307479 & 0.2456835527711 \tabularnewline
0.19 & 92.2613772241018 & 0.25817567746555 \tabularnewline
0.2 & 92.3172370527703 & 0.270484720936107 \tabularnewline
0.21 & 92.3747401032868 & 0.282994328839632 \tabularnewline
0.22 & 92.4340537842007 & 0.296578371320141 \tabularnewline
0.23 & 92.495498224097 & 0.312294421691175 \tabularnewline
0.24 & 92.5596237274472 & 0.331873594204171 \tabularnewline
0.25 & 92.6272758570255 & 0.357296898926376 \tabularnewline
0.26 & 92.6996468160277 & 0.391132160716955 \tabularnewline
0.27 & 92.7783099588431 & 0.435784291656147 \tabularnewline
0.28 & 92.8652329002331 & 0.494072291966253 \tabularnewline
0.29 & 92.962764322097 & 0.568143366847787 \tabularnewline
0.3 & 93.0735901556489 & 0.659958452928314 \tabularnewline
0.31 & 93.2006561037399 & 0.770710630172498 \tabularnewline
0.32 & 93.3470553202918 & 0.900905313714368 \tabularnewline
0.33 & 93.5158825482566 & 1.05030410335499 \tabularnewline
0.34 & 93.7100593032134 & 1.21693854839241 \tabularnewline
0.35 & 93.9321387994288 & 1.3981527989385 \tabularnewline
0.36 & 94.1841038814882 & 1.58989018633044 \tabularnewline
0.37 & 94.4671753952141 & 1.78654168072393 \tabularnewline
0.38 & 94.7816510064995 & 1.9818372524506 \tabularnewline
0.39 & 95.126794258475 & 2.16893859584528 \tabularnewline
0.4 & 95.5007899010343 & 2.34088633746523 \tabularnewline
0.41 & 95.9007743185181 & 2.49122976469419 \tabularnewline
0.42 & 96.322940287202 & 2.61481777714797 \tabularnewline
0.43 & 96.7627051890827 & 2.70733843161139 \tabularnewline
0.44 & 97.2149234110335 & 2.76663935858714 \tabularnewline
0.45 & 97.6741189052265 & 2.79153787468632 \tabularnewline
0.46 & 98.1347138463242 & 2.78291223001301 \tabularnewline
0.47 & 98.5912338468811 & 2.74229874660861 \tabularnewline
0.48 & 99.0384779400218 & 2.67203001953984 \tabularnewline
0.49 & 99.4716503506484 & 2.57513117993184 \tabularnewline
0.5 & 99.8864586190692 & 2.45453002137095 \tabularnewline
0.51 & 100.27918708514 & 2.31364914699361 \tabularnewline
0.52 & 100.646755274563 & 2.1560222778139 \tabularnewline
0.53 & 100.986767739452 & 1.9853920864982 \tabularnewline
0.54 & 101.297556789062 & 1.80583466544688 \tabularnewline
0.55 & 101.578214221019 & 1.6216353947397 \tabularnewline
0.56 & 101.828604452366 & 1.43741246424389 \tabularnewline
0.57 & 102.049350541858 & 1.25778070381005 \tabularnewline
0.58 & 102.2417867394 & 1.08705751459056 \tabularnewline
0.59 & 102.407875711732 & 0.929013266256463 \tabularnewline
0.6 & 102.550094148054 & 0.786706664504163 \tabularnewline
0.61 & 102.671295526784 & 0.662331317977285 \tabularnewline
0.62 & 102.774562176669 & 0.557049684585735 \tabularnewline
0.63 & 102.863059738707 & 0.471389074381609 \tabularnewline
0.64 & 102.93990577717 & 0.404926512331158 \tabularnewline
0.65 & 103.008061225286 & 0.356557927402084 \tabularnewline
0.66 & 103.07024951005 & 0.324748297914788 \tabularnewline
0.67 & 103.128904475996 & 0.307460931891123 \tabularnewline
0.68 & 103.186145219282 & 0.30217444723498 \tabularnewline
0.69 & 103.243773841024 & 0.306383528082149 \tabularnewline
0.7 & 103.303290777324 & 0.317767482660547 \tabularnewline
0.71 & 103.365921467725 & 0.334440147205334 \tabularnewline
0.72 & 103.432647507335 & 0.354880861519604 \tabularnewline
0.73 & 103.504235223203 & 0.377883134956285 \tabularnewline
0.74 & 103.581255285539 & 0.402566425099707 \tabularnewline
0.75 & 103.664089096079 & 0.428059048228024 \tabularnewline
0.76 & 103.752921609017 & 0.453363901936049 \tabularnewline
0.77 & 103.847725543508 & 0.477443817891103 \tabularnewline
0.78 & 103.948247266866 & 0.498974975908143 \tabularnewline
0.79 & 104.054007732585 & 0.516555882855027 \tabularnewline
0.8 & 104.164330320527 & 0.528949585599048 \tabularnewline
0.81 & 104.278399759666 & 0.535417618049157 \tabularnewline
0.82 & 104.395343223837 & 0.535781953528309 \tabularnewline
0.83 & 104.514309873185 & 0.530680185347699 \tabularnewline
0.84 & 104.634514914149 & 0.521301021694987 \tabularnewline
0.85 & 104.755215785659 & 0.508834692882114 \tabularnewline
0.86 & 104.875606018315 & 0.49394166961206 \tabularnewline
0.87 & 104.994645372452 & 0.476051143771308 \tabularnewline
0.88 & 105.110883751393 & 0.45341471782254 \tabularnewline
0.89 & 105.222364979258 & 0.423653049446554 \tabularnewline
0.9 & 105.326696949889 & 0.384708187911998 \tabularnewline
0.91 & 105.421335076868 & 0.336125191846667 \tabularnewline
0.92 & 105.504048244708 & 0.279916440054771 \tabularnewline
0.93 & 105.573440427114 & 0.220312804997474 \tabularnewline
0.94 & 105.62932454374 & 0.163172782877969 \tabularnewline
0.95 & 105.672738814438 & 0.114096401195244 \tabularnewline
0.96 & 105.705509551669 & 0.0767219687047305 \tabularnewline
0.97 & 105.729509481119 & 0.0504796787958954 \tabularnewline
0.98 & 105.746044201776 & 0.0306694866219043 \tabularnewline
0.99 & 105.755877599377 & 0.0131392781013802 \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]90.9492319777263[/C][C]0.209338728487715[/C][/ROW]
[ROW][C]0.02[/C][C]91.0438295363646[/C][C]0.217416929380342[/C][/ROW]
[ROW][C]0.03[/C][C]91.1524845421894[/C][C]0.225244694949704[/C][/ROW]
[ROW][C]0.04[/C][C]91.2605746046782[/C][C]0.229659782870361[/C][/ROW]
[ROW][C]0.05[/C][C]91.3620565597794[/C][C]0.233305609558548[/C][/ROW]
[ROW][C]0.06[/C][C]91.4559642967235[/C][C]0.237860475649986[/C][/ROW]
[ROW][C]0.07[/C][C]91.5430437509111[/C][C]0.241090970039083[/C][/ROW]
[ROW][C]0.08[/C][C]91.6240224460591[/C][C]0.239818736796636[/C][/ROW]
[ROW][C]0.09[/C][C]91.6991893540244[/C][C]0.233132338159754[/C][/ROW]
[ROW][C]0.1[/C][C]91.7686264910794[/C][C]0.222589513693336[/C][/ROW]
[ROW][C]0.11[/C][C]91.8325795014621[/C][C]0.211457621224887[/C][/ROW]
[ROW][C]0.12[/C][C]91.8916838195223[/C][C]0.203357861588894[/C][/ROW]
[ROW][C]0.13[/C][C]91.9469676559298[/C][C]0.200431881108024[/C][/ROW]
[ROW][C]0.14[/C][C]91.9996885155257[/C][C]0.203152980821077[/C][/ROW]
[ROW][C]0.15[/C][C]92.051111541691[/C][C]0.21056112556935[/C][/ROW]
[ROW][C]0.16[/C][C]92.1023236932613[/C][C]0.221131941188036[/C][/ROW]
[ROW][C]0.17[/C][C]92.1541328050136[/C][C]0.233119601909181[/C][/ROW]
[ROW][C]0.18[/C][C]92.207056307479[/C][C]0.2456835527711[/C][/ROW]
[ROW][C]0.19[/C][C]92.2613772241018[/C][C]0.25817567746555[/C][/ROW]
[ROW][C]0.2[/C][C]92.3172370527703[/C][C]0.270484720936107[/C][/ROW]
[ROW][C]0.21[/C][C]92.3747401032868[/C][C]0.282994328839632[/C][/ROW]
[ROW][C]0.22[/C][C]92.4340537842007[/C][C]0.296578371320141[/C][/ROW]
[ROW][C]0.23[/C][C]92.495498224097[/C][C]0.312294421691175[/C][/ROW]
[ROW][C]0.24[/C][C]92.5596237274472[/C][C]0.331873594204171[/C][/ROW]
[ROW][C]0.25[/C][C]92.6272758570255[/C][C]0.357296898926376[/C][/ROW]
[ROW][C]0.26[/C][C]92.6996468160277[/C][C]0.391132160716955[/C][/ROW]
[ROW][C]0.27[/C][C]92.7783099588431[/C][C]0.435784291656147[/C][/ROW]
[ROW][C]0.28[/C][C]92.8652329002331[/C][C]0.494072291966253[/C][/ROW]
[ROW][C]0.29[/C][C]92.962764322097[/C][C]0.568143366847787[/C][/ROW]
[ROW][C]0.3[/C][C]93.0735901556489[/C][C]0.659958452928314[/C][/ROW]
[ROW][C]0.31[/C][C]93.2006561037399[/C][C]0.770710630172498[/C][/ROW]
[ROW][C]0.32[/C][C]93.3470553202918[/C][C]0.900905313714368[/C][/ROW]
[ROW][C]0.33[/C][C]93.5158825482566[/C][C]1.05030410335499[/C][/ROW]
[ROW][C]0.34[/C][C]93.7100593032134[/C][C]1.21693854839241[/C][/ROW]
[ROW][C]0.35[/C][C]93.9321387994288[/C][C]1.3981527989385[/C][/ROW]
[ROW][C]0.36[/C][C]94.1841038814882[/C][C]1.58989018633044[/C][/ROW]
[ROW][C]0.37[/C][C]94.4671753952141[/C][C]1.78654168072393[/C][/ROW]
[ROW][C]0.38[/C][C]94.7816510064995[/C][C]1.9818372524506[/C][/ROW]
[ROW][C]0.39[/C][C]95.126794258475[/C][C]2.16893859584528[/C][/ROW]
[ROW][C]0.4[/C][C]95.5007899010343[/C][C]2.34088633746523[/C][/ROW]
[ROW][C]0.41[/C][C]95.9007743185181[/C][C]2.49122976469419[/C][/ROW]
[ROW][C]0.42[/C][C]96.322940287202[/C][C]2.61481777714797[/C][/ROW]
[ROW][C]0.43[/C][C]96.7627051890827[/C][C]2.70733843161139[/C][/ROW]
[ROW][C]0.44[/C][C]97.2149234110335[/C][C]2.76663935858714[/C][/ROW]
[ROW][C]0.45[/C][C]97.6741189052265[/C][C]2.79153787468632[/C][/ROW]
[ROW][C]0.46[/C][C]98.1347138463242[/C][C]2.78291223001301[/C][/ROW]
[ROW][C]0.47[/C][C]98.5912338468811[/C][C]2.74229874660861[/C][/ROW]
[ROW][C]0.48[/C][C]99.0384779400218[/C][C]2.67203001953984[/C][/ROW]
[ROW][C]0.49[/C][C]99.4716503506484[/C][C]2.57513117993184[/C][/ROW]
[ROW][C]0.5[/C][C]99.8864586190692[/C][C]2.45453002137095[/C][/ROW]
[ROW][C]0.51[/C][C]100.27918708514[/C][C]2.31364914699361[/C][/ROW]
[ROW][C]0.52[/C][C]100.646755274563[/C][C]2.1560222778139[/C][/ROW]
[ROW][C]0.53[/C][C]100.986767739452[/C][C]1.9853920864982[/C][/ROW]
[ROW][C]0.54[/C][C]101.297556789062[/C][C]1.80583466544688[/C][/ROW]
[ROW][C]0.55[/C][C]101.578214221019[/C][C]1.6216353947397[/C][/ROW]
[ROW][C]0.56[/C][C]101.828604452366[/C][C]1.43741246424389[/C][/ROW]
[ROW][C]0.57[/C][C]102.049350541858[/C][C]1.25778070381005[/C][/ROW]
[ROW][C]0.58[/C][C]102.2417867394[/C][C]1.08705751459056[/C][/ROW]
[ROW][C]0.59[/C][C]102.407875711732[/C][C]0.929013266256463[/C][/ROW]
[ROW][C]0.6[/C][C]102.550094148054[/C][C]0.786706664504163[/C][/ROW]
[ROW][C]0.61[/C][C]102.671295526784[/C][C]0.662331317977285[/C][/ROW]
[ROW][C]0.62[/C][C]102.774562176669[/C][C]0.557049684585735[/C][/ROW]
[ROW][C]0.63[/C][C]102.863059738707[/C][C]0.471389074381609[/C][/ROW]
[ROW][C]0.64[/C][C]102.93990577717[/C][C]0.404926512331158[/C][/ROW]
[ROW][C]0.65[/C][C]103.008061225286[/C][C]0.356557927402084[/C][/ROW]
[ROW][C]0.66[/C][C]103.07024951005[/C][C]0.324748297914788[/C][/ROW]
[ROW][C]0.67[/C][C]103.128904475996[/C][C]0.307460931891123[/C][/ROW]
[ROW][C]0.68[/C][C]103.186145219282[/C][C]0.30217444723498[/C][/ROW]
[ROW][C]0.69[/C][C]103.243773841024[/C][C]0.306383528082149[/C][/ROW]
[ROW][C]0.7[/C][C]103.303290777324[/C][C]0.317767482660547[/C][/ROW]
[ROW][C]0.71[/C][C]103.365921467725[/C][C]0.334440147205334[/C][/ROW]
[ROW][C]0.72[/C][C]103.432647507335[/C][C]0.354880861519604[/C][/ROW]
[ROW][C]0.73[/C][C]103.504235223203[/C][C]0.377883134956285[/C][/ROW]
[ROW][C]0.74[/C][C]103.581255285539[/C][C]0.402566425099707[/C][/ROW]
[ROW][C]0.75[/C][C]103.664089096079[/C][C]0.428059048228024[/C][/ROW]
[ROW][C]0.76[/C][C]103.752921609017[/C][C]0.453363901936049[/C][/ROW]
[ROW][C]0.77[/C][C]103.847725543508[/C][C]0.477443817891103[/C][/ROW]
[ROW][C]0.78[/C][C]103.948247266866[/C][C]0.498974975908143[/C][/ROW]
[ROW][C]0.79[/C][C]104.054007732585[/C][C]0.516555882855027[/C][/ROW]
[ROW][C]0.8[/C][C]104.164330320527[/C][C]0.528949585599048[/C][/ROW]
[ROW][C]0.81[/C][C]104.278399759666[/C][C]0.535417618049157[/C][/ROW]
[ROW][C]0.82[/C][C]104.395343223837[/C][C]0.535781953528309[/C][/ROW]
[ROW][C]0.83[/C][C]104.514309873185[/C][C]0.530680185347699[/C][/ROW]
[ROW][C]0.84[/C][C]104.634514914149[/C][C]0.521301021694987[/C][/ROW]
[ROW][C]0.85[/C][C]104.755215785659[/C][C]0.508834692882114[/C][/ROW]
[ROW][C]0.86[/C][C]104.875606018315[/C][C]0.49394166961206[/C][/ROW]
[ROW][C]0.87[/C][C]104.994645372452[/C][C]0.476051143771308[/C][/ROW]
[ROW][C]0.88[/C][C]105.110883751393[/C][C]0.45341471782254[/C][/ROW]
[ROW][C]0.89[/C][C]105.222364979258[/C][C]0.423653049446554[/C][/ROW]
[ROW][C]0.9[/C][C]105.326696949889[/C][C]0.384708187911998[/C][/ROW]
[ROW][C]0.91[/C][C]105.421335076868[/C][C]0.336125191846667[/C][/ROW]
[ROW][C]0.92[/C][C]105.504048244708[/C][C]0.279916440054771[/C][/ROW]
[ROW][C]0.93[/C][C]105.573440427114[/C][C]0.220312804997474[/C][/ROW]
[ROW][C]0.94[/C][C]105.62932454374[/C][C]0.163172782877969[/C][/ROW]
[ROW][C]0.95[/C][C]105.672738814438[/C][C]0.114096401195244[/C][/ROW]
[ROW][C]0.96[/C][C]105.705509551669[/C][C]0.0767219687047305[/C][/ROW]
[ROW][C]0.97[/C][C]105.729509481119[/C][C]0.0504796787958954[/C][/ROW]
[ROW][C]0.98[/C][C]105.746044201776[/C][C]0.0306694866219043[/C][/ROW]
[ROW][C]0.99[/C][C]105.755877599377[/C][C]0.0131392781013802[/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:  
QR Code


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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0190.94923197772630.209338728487715
0.0291.04382953636460.217416929380342
0.0391.15248454218940.225244694949704
0.0491.26057460467820.229659782870361
0.0591.36205655977940.233305609558548
0.0691.45596429672350.237860475649986
0.0791.54304375091110.241090970039083
0.0891.62402244605910.239818736796636
0.0991.69918935402440.233132338159754
0.191.76862649107940.222589513693336
0.1191.83257950146210.211457621224887
0.1291.89168381952230.203357861588894
0.1391.94696765592980.200431881108024
0.1491.99968851552570.203152980821077
0.1592.0511115416910.21056112556935
0.1692.10232369326130.221131941188036
0.1792.15413280501360.233119601909181
0.1892.2070563074790.2456835527711
0.1992.26137722410180.25817567746555
0.292.31723705277030.270484720936107
0.2192.37474010328680.282994328839632
0.2292.43405378420070.296578371320141
0.2392.4954982240970.312294421691175
0.2492.55962372744720.331873594204171
0.2592.62727585702550.357296898926376
0.2692.69964681602770.391132160716955
0.2792.77830995884310.435784291656147
0.2892.86523290023310.494072291966253
0.2992.9627643220970.568143366847787
0.393.07359015564890.659958452928314
0.3193.20065610373990.770710630172498
0.3293.34705532029180.900905313714368
0.3393.51588254825661.05030410335499
0.3493.71005930321341.21693854839241
0.3593.93213879942881.3981527989385
0.3694.18410388148821.58989018633044
0.3794.46717539521411.78654168072393
0.3894.78165100649951.9818372524506
0.3995.1267942584752.16893859584528
0.495.50078990103432.34088633746523
0.4195.90077431851812.49122976469419
0.4296.3229402872022.61481777714797
0.4396.76270518908272.70733843161139
0.4497.21492341103352.76663935858714
0.4597.67411890522652.79153787468632
0.4698.13471384632422.78291223001301
0.4798.59123384688112.74229874660861
0.4899.03847794002182.67203001953984
0.4999.47165035064842.57513117993184
0.599.88645861906922.45453002137095
0.51100.279187085142.31364914699361
0.52100.6467552745632.1560222778139
0.53100.9867677394521.9853920864982
0.54101.2975567890621.80583466544688
0.55101.5782142210191.6216353947397
0.56101.8286044523661.43741246424389
0.57102.0493505418581.25778070381005
0.58102.24178673941.08705751459056
0.59102.4078757117320.929013266256463
0.6102.5500941480540.786706664504163
0.61102.6712955267840.662331317977285
0.62102.7745621766690.557049684585735
0.63102.8630597387070.471389074381609
0.64102.939905777170.404926512331158
0.65103.0080612252860.356557927402084
0.66103.070249510050.324748297914788
0.67103.1289044759960.307460931891123
0.68103.1861452192820.30217444723498
0.69103.2437738410240.306383528082149
0.7103.3032907773240.317767482660547
0.71103.3659214677250.334440147205334
0.72103.4326475073350.354880861519604
0.73103.5042352232030.377883134956285
0.74103.5812552855390.402566425099707
0.75103.6640890960790.428059048228024
0.76103.7529216090170.453363901936049
0.77103.8477255435080.477443817891103
0.78103.9482472668660.498974975908143
0.79104.0540077325850.516555882855027
0.8104.1643303205270.528949585599048
0.81104.2783997596660.535417618049157
0.82104.3953432238370.535781953528309
0.83104.5143098731850.530680185347699
0.84104.6345149141490.521301021694987
0.85104.7552157856590.508834692882114
0.86104.8756060183150.49394166961206
0.87104.9946453724520.476051143771308
0.88105.1108837513930.45341471782254
0.89105.2223649792580.423653049446554
0.9105.3266969498890.384708187911998
0.91105.4213350768680.336125191846667
0.92105.5040482447080.279916440054771
0.93105.5734404271140.220312804997474
0.94105.629324543740.163172782877969
0.95105.6727388144380.114096401195244
0.96105.7055095516690.0767219687047305
0.97105.7295094811190.0504796787958954
0.98105.7460442017760.0306694866219043
0.99105.7558775993770.0131392781013802


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')