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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 computationMon, 25 Feb 2013 14:55:17 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Feb/25/t13618223273f2s70w887ybba4.htm/, Retrieved Fri, 03 May 2024 09:58:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=206971, Retrieved Fri, 03 May 2024 09:58:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact139

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [prijsgevoeligheid...] [2013-02-25 16:08:11] [b6e284768173daa602d243042729bd3c]
- R P   [Univariate Data Series] [] [2013-02-25 16:12:12] [b6e284768173daa602d243042729bd3c]
- RMPD      [Harrell-Davis Quantiles] [] [2013-02-25 19:55:17] [4d26c4233714d8e4ecf99606d744931b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
102,42
102,46
102,76
102,4
102,47
102,27
102,17
101,84
102,13
103,34
103,43
103,59
104,21
105,42
105,95
106,28
106,49
106,49
106,49
107,38
108,69
108,76
108,84
108,67
108,79
109,96
110,86
111
111,84
112,21
112,4
113,76
114,85
115,23
115,39
115,29
115,53
116,26
116,85
117,37
118,03
118,49
119,32
119,4
122,26
122,91
123,78
123,99
124,7
125,89
127,57
128,97
130,65
130,73
130,95
131,36
132,85
133,08
133,13
133,27
133,9
134,85
135,49
136,21
136,31
136,22
136,22
135,51
137,3
138,42
138,92
138,67

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=206971&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=206971&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206971&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
0.01101.9191102260480.230344713154885
0.02102.0270619204420.168647146391748
0.03102.126435100090.137038385557126
0.04102.2084249522570.135990556019813
0.05102.2796243462710.151429644679084
0.06102.3489315801140.180917889527619
0.07102.4238873208380.230337405901825
0.08102.5111788483440.304153611438353
0.09102.6170993582920.401399882324811
0.1102.7471656110870.517574956989768
0.11102.9054583852880.646801311369341
0.12103.0941827795050.782729491594547
0.13103.3135612388110.9188167720552
0.14103.5619518439221.04857284251313
0.15103.8360729897251.16493691527195
0.16104.131301455031.26120362975443
0.17104.4420785275251.33267959982994
0.18104.7624532974021.37744142812313
0.19105.0867263859831.39744986370675
0.2105.4100832509821.39853622000477
0.21105.7290745637541.38844209908695
0.22106.0418326686711.37560229470752
0.23106.3479924815481.36706925524641
0.24106.648374859991.36671930973034
0.25106.9445525282811.37587636708585
0.26107.2384319613161.39351184343435
0.27107.5319510773431.41814592437173
0.28107.8269319456781.44869859664764
0.29108.1250664074331.4852199957204
0.3108.4279721305471.52873728887055
0.31108.7372468781651.58046293696279
0.32109.0544664824451.6409574872076
0.33109.3811051441871.70977072137576
0.34109.7183906628371.78470516189717
0.35110.0671307123321.86272597739494
0.36110.4275543789191.93934629164477
0.37110.7992073444712.01066167945241
0.38111.1809248794212.07244801013472
0.39111.5708906069272.12123180206146
0.4111.9667754721442.1545708092273
0.41112.3659422955222.17137257212514
0.42112.7656960754792.17188094660599
0.43113.163557146632.15759220907765
0.44113.5575320979352.13186258182268
0.45113.9463559150172.09924884541435
0.46114.3296791480762.06591968023461
0.47114.7081773637442.03802567545113
0.48115.0835674186242.02233965030294
0.49115.4585256361482.02468751664646
0.5115.8365149843332.04931279585839
0.51116.2215394411532.09842311740937
0.52116.6178517870022.17237951469922
0.53117.0296449787612.26944556373195
0.54117.4607571542242.38590271415847
0.55117.9144171586912.51725091707009
0.56118.3930523853692.65783384345776
0.57118.8981742680232.80168377445664
0.58119.4303488174562.94300718363101
0.59119.9892496755833.0766710756403
0.6120.5737792969333.19890454440372
0.61121.1822314210753.30664638765502
0.62121.8124579694563.39854462080117
0.63122.4619999068763.47429279701946
0.64123.1281479982813.53376121678066
0.65123.8079169625563.57672753259544
0.66124.4979426916433.60168228963129
0.67125.1943404446183.6058200306719
0.68125.8925833311193.58542569773269
0.69126.5874666344483.53636917438362
0.7127.2732102162043.45527798072701
0.71127.9437203273573.34051946690679
0.72128.5929919490373.19350246345103
0.73129.2155953830133.0185795789192
0.74129.8071675111112.82277769782694
0.75130.364824902412.61533778177442
0.76130.8874310104842.4061498873746
0.77131.375674883882.20469668474209
0.78131.8319441441132.0197232515329
0.79132.2599944685581.85716458565171
0.8132.6644329587351.72072937943738
0.81133.0500513554551.61079554096858
0.82133.4210751705481.52373846036673
0.83133.7804373923751.4520996267515
0.84134.1292302388761.38594051086517
0.85134.4665165476681.31450560817835
0.86134.7896737799381.22935596951233
0.87135.0953835286211.12701045608989
0.88135.3812573569221.01056935084351
0.89135.6478927315260.890982259008304
0.9135.900867645260.787146528497848
0.91136.1518305036280.724390284584549
0.92136.4175547976950.725568092063714
0.93136.7159276831020.791710039921326
0.94137.0588001374390.888685369488684
0.95137.4437113213920.956168521327765
0.96137.8489808988490.930997462699516
0.97138.2370349992850.781402321891613
0.98138.5659310732130.54325549343973
0.99138.8008734315920.328696150631806

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 101.919110226048 & 0.230344713154885 \tabularnewline
0.02 & 102.027061920442 & 0.168647146391748 \tabularnewline
0.03 & 102.12643510009 & 0.137038385557126 \tabularnewline
0.04 & 102.208424952257 & 0.135990556019813 \tabularnewline
0.05 & 102.279624346271 & 0.151429644679084 \tabularnewline
0.06 & 102.348931580114 & 0.180917889527619 \tabularnewline
0.07 & 102.423887320838 & 0.230337405901825 \tabularnewline
0.08 & 102.511178848344 & 0.304153611438353 \tabularnewline
0.09 & 102.617099358292 & 0.401399882324811 \tabularnewline
0.1 & 102.747165611087 & 0.517574956989768 \tabularnewline
0.11 & 102.905458385288 & 0.646801311369341 \tabularnewline
0.12 & 103.094182779505 & 0.782729491594547 \tabularnewline
0.13 & 103.313561238811 & 0.9188167720552 \tabularnewline
0.14 & 103.561951843922 & 1.04857284251313 \tabularnewline
0.15 & 103.836072989725 & 1.16493691527195 \tabularnewline
0.16 & 104.13130145503 & 1.26120362975443 \tabularnewline
0.17 & 104.442078527525 & 1.33267959982994 \tabularnewline
0.18 & 104.762453297402 & 1.37744142812313 \tabularnewline
0.19 & 105.086726385983 & 1.39744986370675 \tabularnewline
0.2 & 105.410083250982 & 1.39853622000477 \tabularnewline
0.21 & 105.729074563754 & 1.38844209908695 \tabularnewline
0.22 & 106.041832668671 & 1.37560229470752 \tabularnewline
0.23 & 106.347992481548 & 1.36706925524641 \tabularnewline
0.24 & 106.64837485999 & 1.36671930973034 \tabularnewline
0.25 & 106.944552528281 & 1.37587636708585 \tabularnewline
0.26 & 107.238431961316 & 1.39351184343435 \tabularnewline
0.27 & 107.531951077343 & 1.41814592437173 \tabularnewline
0.28 & 107.826931945678 & 1.44869859664764 \tabularnewline
0.29 & 108.125066407433 & 1.4852199957204 \tabularnewline
0.3 & 108.427972130547 & 1.52873728887055 \tabularnewline
0.31 & 108.737246878165 & 1.58046293696279 \tabularnewline
0.32 & 109.054466482445 & 1.6409574872076 \tabularnewline
0.33 & 109.381105144187 & 1.70977072137576 \tabularnewline
0.34 & 109.718390662837 & 1.78470516189717 \tabularnewline
0.35 & 110.067130712332 & 1.86272597739494 \tabularnewline
0.36 & 110.427554378919 & 1.93934629164477 \tabularnewline
0.37 & 110.799207344471 & 2.01066167945241 \tabularnewline
0.38 & 111.180924879421 & 2.07244801013472 \tabularnewline
0.39 & 111.570890606927 & 2.12123180206146 \tabularnewline
0.4 & 111.966775472144 & 2.1545708092273 \tabularnewline
0.41 & 112.365942295522 & 2.17137257212514 \tabularnewline
0.42 & 112.765696075479 & 2.17188094660599 \tabularnewline
0.43 & 113.16355714663 & 2.15759220907765 \tabularnewline
0.44 & 113.557532097935 & 2.13186258182268 \tabularnewline
0.45 & 113.946355915017 & 2.09924884541435 \tabularnewline
0.46 & 114.329679148076 & 2.06591968023461 \tabularnewline
0.47 & 114.708177363744 & 2.03802567545113 \tabularnewline
0.48 & 115.083567418624 & 2.02233965030294 \tabularnewline
0.49 & 115.458525636148 & 2.02468751664646 \tabularnewline
0.5 & 115.836514984333 & 2.04931279585839 \tabularnewline
0.51 & 116.221539441153 & 2.09842311740937 \tabularnewline
0.52 & 116.617851787002 & 2.17237951469922 \tabularnewline
0.53 & 117.029644978761 & 2.26944556373195 \tabularnewline
0.54 & 117.460757154224 & 2.38590271415847 \tabularnewline
0.55 & 117.914417158691 & 2.51725091707009 \tabularnewline
0.56 & 118.393052385369 & 2.65783384345776 \tabularnewline
0.57 & 118.898174268023 & 2.80168377445664 \tabularnewline
0.58 & 119.430348817456 & 2.94300718363101 \tabularnewline
0.59 & 119.989249675583 & 3.0766710756403 \tabularnewline
0.6 & 120.573779296933 & 3.19890454440372 \tabularnewline
0.61 & 121.182231421075 & 3.30664638765502 \tabularnewline
0.62 & 121.812457969456 & 3.39854462080117 \tabularnewline
0.63 & 122.461999906876 & 3.47429279701946 \tabularnewline
0.64 & 123.128147998281 & 3.53376121678066 \tabularnewline
0.65 & 123.807916962556 & 3.57672753259544 \tabularnewline
0.66 & 124.497942691643 & 3.60168228963129 \tabularnewline
0.67 & 125.194340444618 & 3.6058200306719 \tabularnewline
0.68 & 125.892583331119 & 3.58542569773269 \tabularnewline
0.69 & 126.587466634448 & 3.53636917438362 \tabularnewline
0.7 & 127.273210216204 & 3.45527798072701 \tabularnewline
0.71 & 127.943720327357 & 3.34051946690679 \tabularnewline
0.72 & 128.592991949037 & 3.19350246345103 \tabularnewline
0.73 & 129.215595383013 & 3.0185795789192 \tabularnewline
0.74 & 129.807167511111 & 2.82277769782694 \tabularnewline
0.75 & 130.36482490241 & 2.61533778177442 \tabularnewline
0.76 & 130.887431010484 & 2.4061498873746 \tabularnewline
0.77 & 131.37567488388 & 2.20469668474209 \tabularnewline
0.78 & 131.831944144113 & 2.0197232515329 \tabularnewline
0.79 & 132.259994468558 & 1.85716458565171 \tabularnewline
0.8 & 132.664432958735 & 1.72072937943738 \tabularnewline
0.81 & 133.050051355455 & 1.61079554096858 \tabularnewline
0.82 & 133.421075170548 & 1.52373846036673 \tabularnewline
0.83 & 133.780437392375 & 1.4520996267515 \tabularnewline
0.84 & 134.129230238876 & 1.38594051086517 \tabularnewline
0.85 & 134.466516547668 & 1.31450560817835 \tabularnewline
0.86 & 134.789673779938 & 1.22935596951233 \tabularnewline
0.87 & 135.095383528621 & 1.12701045608989 \tabularnewline
0.88 & 135.381257356922 & 1.01056935084351 \tabularnewline
0.89 & 135.647892731526 & 0.890982259008304 \tabularnewline
0.9 & 135.90086764526 & 0.787146528497848 \tabularnewline
0.91 & 136.151830503628 & 0.724390284584549 \tabularnewline
0.92 & 136.417554797695 & 0.725568092063714 \tabularnewline
0.93 & 136.715927683102 & 0.791710039921326 \tabularnewline
0.94 & 137.058800137439 & 0.888685369488684 \tabularnewline
0.95 & 137.443711321392 & 0.956168521327765 \tabularnewline
0.96 & 137.848980898849 & 0.930997462699516 \tabularnewline
0.97 & 138.237034999285 & 0.781402321891613 \tabularnewline
0.98 & 138.565931073213 & 0.54325549343973 \tabularnewline
0.99 & 138.800873431592 & 0.328696150631806 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206971&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]101.919110226048[/C][C]0.230344713154885[/C][/ROW]
[ROW][C]0.02[/C][C]102.027061920442[/C][C]0.168647146391748[/C][/ROW]
[ROW][C]0.03[/C][C]102.12643510009[/C][C]0.137038385557126[/C][/ROW]
[ROW][C]0.04[/C][C]102.208424952257[/C][C]0.135990556019813[/C][/ROW]
[ROW][C]0.05[/C][C]102.279624346271[/C][C]0.151429644679084[/C][/ROW]
[ROW][C]0.06[/C][C]102.348931580114[/C][C]0.180917889527619[/C][/ROW]
[ROW][C]0.07[/C][C]102.423887320838[/C][C]0.230337405901825[/C][/ROW]
[ROW][C]0.08[/C][C]102.511178848344[/C][C]0.304153611438353[/C][/ROW]
[ROW][C]0.09[/C][C]102.617099358292[/C][C]0.401399882324811[/C][/ROW]
[ROW][C]0.1[/C][C]102.747165611087[/C][C]0.517574956989768[/C][/ROW]
[ROW][C]0.11[/C][C]102.905458385288[/C][C]0.646801311369341[/C][/ROW]
[ROW][C]0.12[/C][C]103.094182779505[/C][C]0.782729491594547[/C][/ROW]
[ROW][C]0.13[/C][C]103.313561238811[/C][C]0.9188167720552[/C][/ROW]
[ROW][C]0.14[/C][C]103.561951843922[/C][C]1.04857284251313[/C][/ROW]
[ROW][C]0.15[/C][C]103.836072989725[/C][C]1.16493691527195[/C][/ROW]
[ROW][C]0.16[/C][C]104.13130145503[/C][C]1.26120362975443[/C][/ROW]
[ROW][C]0.17[/C][C]104.442078527525[/C][C]1.33267959982994[/C][/ROW]
[ROW][C]0.18[/C][C]104.762453297402[/C][C]1.37744142812313[/C][/ROW]
[ROW][C]0.19[/C][C]105.086726385983[/C][C]1.39744986370675[/C][/ROW]
[ROW][C]0.2[/C][C]105.410083250982[/C][C]1.39853622000477[/C][/ROW]
[ROW][C]0.21[/C][C]105.729074563754[/C][C]1.38844209908695[/C][/ROW]
[ROW][C]0.22[/C][C]106.041832668671[/C][C]1.37560229470752[/C][/ROW]
[ROW][C]0.23[/C][C]106.347992481548[/C][C]1.36706925524641[/C][/ROW]
[ROW][C]0.24[/C][C]106.64837485999[/C][C]1.36671930973034[/C][/ROW]
[ROW][C]0.25[/C][C]106.944552528281[/C][C]1.37587636708585[/C][/ROW]
[ROW][C]0.26[/C][C]107.238431961316[/C][C]1.39351184343435[/C][/ROW]
[ROW][C]0.27[/C][C]107.531951077343[/C][C]1.41814592437173[/C][/ROW]
[ROW][C]0.28[/C][C]107.826931945678[/C][C]1.44869859664764[/C][/ROW]
[ROW][C]0.29[/C][C]108.125066407433[/C][C]1.4852199957204[/C][/ROW]
[ROW][C]0.3[/C][C]108.427972130547[/C][C]1.52873728887055[/C][/ROW]
[ROW][C]0.31[/C][C]108.737246878165[/C][C]1.58046293696279[/C][/ROW]
[ROW][C]0.32[/C][C]109.054466482445[/C][C]1.6409574872076[/C][/ROW]
[ROW][C]0.33[/C][C]109.381105144187[/C][C]1.70977072137576[/C][/ROW]
[ROW][C]0.34[/C][C]109.718390662837[/C][C]1.78470516189717[/C][/ROW]
[ROW][C]0.35[/C][C]110.067130712332[/C][C]1.86272597739494[/C][/ROW]
[ROW][C]0.36[/C][C]110.427554378919[/C][C]1.93934629164477[/C][/ROW]
[ROW][C]0.37[/C][C]110.799207344471[/C][C]2.01066167945241[/C][/ROW]
[ROW][C]0.38[/C][C]111.180924879421[/C][C]2.07244801013472[/C][/ROW]
[ROW][C]0.39[/C][C]111.570890606927[/C][C]2.12123180206146[/C][/ROW]
[ROW][C]0.4[/C][C]111.966775472144[/C][C]2.1545708092273[/C][/ROW]
[ROW][C]0.41[/C][C]112.365942295522[/C][C]2.17137257212514[/C][/ROW]
[ROW][C]0.42[/C][C]112.765696075479[/C][C]2.17188094660599[/C][/ROW]
[ROW][C]0.43[/C][C]113.16355714663[/C][C]2.15759220907765[/C][/ROW]
[ROW][C]0.44[/C][C]113.557532097935[/C][C]2.13186258182268[/C][/ROW]
[ROW][C]0.45[/C][C]113.946355915017[/C][C]2.09924884541435[/C][/ROW]
[ROW][C]0.46[/C][C]114.329679148076[/C][C]2.06591968023461[/C][/ROW]
[ROW][C]0.47[/C][C]114.708177363744[/C][C]2.03802567545113[/C][/ROW]
[ROW][C]0.48[/C][C]115.083567418624[/C][C]2.02233965030294[/C][/ROW]
[ROW][C]0.49[/C][C]115.458525636148[/C][C]2.02468751664646[/C][/ROW]
[ROW][C]0.5[/C][C]115.836514984333[/C][C]2.04931279585839[/C][/ROW]
[ROW][C]0.51[/C][C]116.221539441153[/C][C]2.09842311740937[/C][/ROW]
[ROW][C]0.52[/C][C]116.617851787002[/C][C]2.17237951469922[/C][/ROW]
[ROW][C]0.53[/C][C]117.029644978761[/C][C]2.26944556373195[/C][/ROW]
[ROW][C]0.54[/C][C]117.460757154224[/C][C]2.38590271415847[/C][/ROW]
[ROW][C]0.55[/C][C]117.914417158691[/C][C]2.51725091707009[/C][/ROW]
[ROW][C]0.56[/C][C]118.393052385369[/C][C]2.65783384345776[/C][/ROW]
[ROW][C]0.57[/C][C]118.898174268023[/C][C]2.80168377445664[/C][/ROW]
[ROW][C]0.58[/C][C]119.430348817456[/C][C]2.94300718363101[/C][/ROW]
[ROW][C]0.59[/C][C]119.989249675583[/C][C]3.0766710756403[/C][/ROW]
[ROW][C]0.6[/C][C]120.573779296933[/C][C]3.19890454440372[/C][/ROW]
[ROW][C]0.61[/C][C]121.182231421075[/C][C]3.30664638765502[/C][/ROW]
[ROW][C]0.62[/C][C]121.812457969456[/C][C]3.39854462080117[/C][/ROW]
[ROW][C]0.63[/C][C]122.461999906876[/C][C]3.47429279701946[/C][/ROW]
[ROW][C]0.64[/C][C]123.128147998281[/C][C]3.53376121678066[/C][/ROW]
[ROW][C]0.65[/C][C]123.807916962556[/C][C]3.57672753259544[/C][/ROW]
[ROW][C]0.66[/C][C]124.497942691643[/C][C]3.60168228963129[/C][/ROW]
[ROW][C]0.67[/C][C]125.194340444618[/C][C]3.6058200306719[/C][/ROW]
[ROW][C]0.68[/C][C]125.892583331119[/C][C]3.58542569773269[/C][/ROW]
[ROW][C]0.69[/C][C]126.587466634448[/C][C]3.53636917438362[/C][/ROW]
[ROW][C]0.7[/C][C]127.273210216204[/C][C]3.45527798072701[/C][/ROW]
[ROW][C]0.71[/C][C]127.943720327357[/C][C]3.34051946690679[/C][/ROW]
[ROW][C]0.72[/C][C]128.592991949037[/C][C]3.19350246345103[/C][/ROW]
[ROW][C]0.73[/C][C]129.215595383013[/C][C]3.0185795789192[/C][/ROW]
[ROW][C]0.74[/C][C]129.807167511111[/C][C]2.82277769782694[/C][/ROW]
[ROW][C]0.75[/C][C]130.36482490241[/C][C]2.61533778177442[/C][/ROW]
[ROW][C]0.76[/C][C]130.887431010484[/C][C]2.4061498873746[/C][/ROW]
[ROW][C]0.77[/C][C]131.37567488388[/C][C]2.20469668474209[/C][/ROW]
[ROW][C]0.78[/C][C]131.831944144113[/C][C]2.0197232515329[/C][/ROW]
[ROW][C]0.79[/C][C]132.259994468558[/C][C]1.85716458565171[/C][/ROW]
[ROW][C]0.8[/C][C]132.664432958735[/C][C]1.72072937943738[/C][/ROW]
[ROW][C]0.81[/C][C]133.050051355455[/C][C]1.61079554096858[/C][/ROW]
[ROW][C]0.82[/C][C]133.421075170548[/C][C]1.52373846036673[/C][/ROW]
[ROW][C]0.83[/C][C]133.780437392375[/C][C]1.4520996267515[/C][/ROW]
[ROW][C]0.84[/C][C]134.129230238876[/C][C]1.38594051086517[/C][/ROW]
[ROW][C]0.85[/C][C]134.466516547668[/C][C]1.31450560817835[/C][/ROW]
[ROW][C]0.86[/C][C]134.789673779938[/C][C]1.22935596951233[/C][/ROW]
[ROW][C]0.87[/C][C]135.095383528621[/C][C]1.12701045608989[/C][/ROW]
[ROW][C]0.88[/C][C]135.381257356922[/C][C]1.01056935084351[/C][/ROW]
[ROW][C]0.89[/C][C]135.647892731526[/C][C]0.890982259008304[/C][/ROW]
[ROW][C]0.9[/C][C]135.90086764526[/C][C]0.787146528497848[/C][/ROW]
[ROW][C]0.91[/C][C]136.151830503628[/C][C]0.724390284584549[/C][/ROW]
[ROW][C]0.92[/C][C]136.417554797695[/C][C]0.725568092063714[/C][/ROW]
[ROW][C]0.93[/C][C]136.715927683102[/C][C]0.791710039921326[/C][/ROW]
[ROW][C]0.94[/C][C]137.058800137439[/C][C]0.888685369488684[/C][/ROW]
[ROW][C]0.95[/C][C]137.443711321392[/C][C]0.956168521327765[/C][/ROW]
[ROW][C]0.96[/C][C]137.848980898849[/C][C]0.930997462699516[/C][/ROW]
[ROW][C]0.97[/C][C]138.237034999285[/C][C]0.781402321891613[/C][/ROW]
[ROW][C]0.98[/C][C]138.565931073213[/C][C]0.54325549343973[/C][/ROW]
[ROW][C]0.99[/C][C]138.800873431592[/C][C]0.328696150631806[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206971&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206971&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
0.01101.9191102260480.230344713154885
0.02102.0270619204420.168647146391748
0.03102.126435100090.137038385557126
0.04102.2084249522570.135990556019813
0.05102.2796243462710.151429644679084
0.06102.3489315801140.180917889527619
0.07102.4238873208380.230337405901825
0.08102.5111788483440.304153611438353
0.09102.6170993582920.401399882324811
0.1102.7471656110870.517574956989768
0.11102.9054583852880.646801311369341
0.12103.0941827795050.782729491594547
0.13103.3135612388110.9188167720552
0.14103.5619518439221.04857284251313
0.15103.8360729897251.16493691527195
0.16104.131301455031.26120362975443
0.17104.4420785275251.33267959982994
0.18104.7624532974021.37744142812313
0.19105.0867263859831.39744986370675
0.2105.4100832509821.39853622000477
0.21105.7290745637541.38844209908695
0.22106.0418326686711.37560229470752
0.23106.3479924815481.36706925524641
0.24106.648374859991.36671930973034
0.25106.9445525282811.37587636708585
0.26107.2384319613161.39351184343435
0.27107.5319510773431.41814592437173
0.28107.8269319456781.44869859664764
0.29108.1250664074331.4852199957204
0.3108.4279721305471.52873728887055
0.31108.7372468781651.58046293696279
0.32109.0544664824451.6409574872076
0.33109.3811051441871.70977072137576
0.34109.7183906628371.78470516189717
0.35110.0671307123321.86272597739494
0.36110.4275543789191.93934629164477
0.37110.7992073444712.01066167945241
0.38111.1809248794212.07244801013472
0.39111.5708906069272.12123180206146
0.4111.9667754721442.1545708092273
0.41112.3659422955222.17137257212514
0.42112.7656960754792.17188094660599
0.43113.163557146632.15759220907765
0.44113.5575320979352.13186258182268
0.45113.9463559150172.09924884541435
0.46114.3296791480762.06591968023461
0.47114.7081773637442.03802567545113
0.48115.0835674186242.02233965030294
0.49115.4585256361482.02468751664646
0.5115.8365149843332.04931279585839
0.51116.2215394411532.09842311740937
0.52116.6178517870022.17237951469922
0.53117.0296449787612.26944556373195
0.54117.4607571542242.38590271415847
0.55117.9144171586912.51725091707009
0.56118.3930523853692.65783384345776
0.57118.8981742680232.80168377445664
0.58119.4303488174562.94300718363101
0.59119.9892496755833.0766710756403
0.6120.5737792969333.19890454440372
0.61121.1822314210753.30664638765502
0.62121.8124579694563.39854462080117
0.63122.4619999068763.47429279701946
0.64123.1281479982813.53376121678066
0.65123.8079169625563.57672753259544
0.66124.4979426916433.60168228963129
0.67125.1943404446183.6058200306719
0.68125.8925833311193.58542569773269
0.69126.5874666344483.53636917438362
0.7127.2732102162043.45527798072701
0.71127.9437203273573.34051946690679
0.72128.5929919490373.19350246345103
0.73129.2155953830133.0185795789192
0.74129.8071675111112.82277769782694
0.75130.364824902412.61533778177442
0.76130.8874310104842.4061498873746
0.77131.375674883882.20469668474209
0.78131.8319441441132.0197232515329
0.79132.2599944685581.85716458565171
0.8132.6644329587351.72072937943738
0.81133.0500513554551.61079554096858
0.82133.4210751705481.52373846036673
0.83133.7804373923751.4520996267515
0.84134.1292302388761.38594051086517
0.85134.4665165476681.31450560817835
0.86134.7896737799381.22935596951233
0.87135.0953835286211.12701045608989
0.88135.3812573569221.01056935084351
0.89135.6478927315260.890982259008304
0.9135.900867645260.787146528497848
0.91136.1518305036280.724390284584549
0.92136.4175547976950.725568092063714
0.93136.7159276831020.791710039921326
0.94137.0588001374390.888685369488684
0.95137.4437113213920.956168521327765
0.96137.8489808988490.930997462699516
0.97138.2370349992850.781402321891613
0.98138.5659310732130.54325549343973
0.99138.8008734315920.328696150631806


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')