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 computationFri, 14 Oct 2011 13:26:43 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/14/t1318613407cdlyltmzb6sj2a9.htm/, Retrieved Thu, 16 May 2024 14:25:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=129607, Retrieved Thu, 16 May 2024 14:25:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact117

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] [Opdracht 4 Harrel...] [2011-10-09 12:38:52] [78ad7246c13d73188e9e2bc44b7acf73]
-   PD    [Harrell-Davis Quantiles] [Verbetering Opdra...] [2011-10-14 17:26:43] [5c7e349a99f3f4c38d746f616922f776] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
6
6
5
3
2
3
3
2
0
4
4
5
6
6
5
5
3
5
5
5
3
6
6
4
6
5
4
5
5
4
3
2
3
2
-1
0
-2
1
-2
-2
-2
-6
-4
-2
0
-5
-4
-5
-1
-2
-4
-1
1
1
-2
1
1
3
3
1
1
0
2
2
-1
1
0
1
1
3
2
0

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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=129607&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=129607&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=129607&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-5.723757580826760.801163116013659
0.02-5.332695215409690.637769158215558
0.03-4.944910675332980.619868956804816
0.04-4.589023829674010.695465493131419
0.05-4.251028609026010.789164570101868
0.06-3.917335228961280.872829875562847
0.07-3.586139392370260.927844643671483
0.08-3.264539312607530.934878364574692
0.09-2.963484959350770.886057599828844
0.1-2.693240845732830.791932334637867
0.11-2.459832708980320.677108726655603
0.12-2.263266262320660.57055634597144
0.13-2.097929579925920.496484084725577
0.14-1.954662941186990.466976977564838
0.15-1.823412068558350.478150730760473
0.16-1.695465481137510.515415071734588
0.17-1.564749070681220.563231733101899
0.18-1.428141918954260.609992719869908
0.19-1.285078953247040.648466276339042
0.2-1.136793275559010.675059798061815
0.21-0.9854958386788720.688929525235223
0.22-0.8336792809455020.691123575827584
0.23-0.6836267575139720.68381384950845
0.24-0.5371328609974060.669702421981021
0.25-0.3954049271252920.651550987782347
0.26-0.2590992735047830.63178267742499
0.27-0.1284456879927130.612122339747048
0.28-0.003415817777273790.593322337654202
0.290.1161061846958430.575111811730279
0.30.2301879887585570.556434739336772
0.310.338776693355070.535944651424396
0.320.4417033524230780.512588879466415
0.330.5387594447343460.486104230238862
0.340.6298221549747260.457282980784275
0.350.7149927303621840.427984570713626
0.360.7947088283179580.400906456305452
0.370.8697985616417710.379142287315611
0.380.9414587619665070.365555964461666
0.391.011158583321320.362041887466317
0.41.080487036622010.368930265589832
0.411.150975189797920.384876298993076
0.421.22392808672140.407311973537692
0.431.300297501291370.433147491959625
0.441.380615942417230.459397903823885
0.451.464997757778010.483620466546509
0.461.553198330971710.504149755446629
0.471.644710703833320.520164156626421
0.481.738873103531480.531588504267122
0.491.834961990987930.538852004650466
0.51.932252817333140.542555029457615
0.512.030042493791780.543143259320447
0.522.127640360456490.540690561142496
0.532.224344640438650.534846249818271
0.542.319426150746210.525007079568763
0.552.412139065729940.510616308287031
0.562.501770322674450.491507197105299
0.572.587727076371910.468200210077786
0.582.669648795515240.442079573999705
0.592.747520661899910.415395015919793
0.62.821760627744220.391124734846881
0.612.893255086125880.372619267939177
0.622.963327137351030.363045991404066
0.633.033634803056180.364639168620715
0.643.106011065720850.378010564664342
0.653.182269760092840.401958557806062
0.663.264008069799080.433873543434892
0.673.352435916452280.470407984041877
0.683.448254947963020.508076204984659
0.693.551597247610930.543667714281355
0.73.662020061767810.574470367900254
0.713.778542206937920.598335470893521
0.723.899703992255360.613619773475909
0.734.023636830916830.619039351363343
0.744.148139415815010.613552346813409
0.754.270769758787110.596387474896006
0.764.388970679872820.567197212084145
0.774.500245863558990.526379878842415
0.784.602393197234030.475401561968415
0.794.693784754014530.417006579277426
0.84.773664155420450.355201370796943
0.814.842417376839560.295042431876104
0.824.901764073578280.242423419556579
0.834.954810921071150.204106750669046
0.845.005903559312070.187541120629056
0.855.060213067388020.197950480719409
0.865.123011575071550.233473258883297
0.875.198653121393120.285559590471974
0.885.289395387618090.342223050966326
0.895.394355986600240.389617415816678
0.95.509020626712040.414067252418864
0.915.62569811638190.405679606743946
0.925.735062681106850.362218542227077
0.935.82846815182860.290958041423248
0.945.900259605982260.206892226255142
0.955.949144049223150.127409655807675
0.965.978014773253410.0658207095499833
0.975.992355271050870.0271029412948511
0.985.998059302331480.00808481607776489
0.995.999718484346750.00136889553731296

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -5.72375758082676 & 0.801163116013659 \tabularnewline
0.02 & -5.33269521540969 & 0.637769158215558 \tabularnewline
0.03 & -4.94491067533298 & 0.619868956804816 \tabularnewline
0.04 & -4.58902382967401 & 0.695465493131419 \tabularnewline
0.05 & -4.25102860902601 & 0.789164570101868 \tabularnewline
0.06 & -3.91733522896128 & 0.872829875562847 \tabularnewline
0.07 & -3.58613939237026 & 0.927844643671483 \tabularnewline
0.08 & -3.26453931260753 & 0.934878364574692 \tabularnewline
0.09 & -2.96348495935077 & 0.886057599828844 \tabularnewline
0.1 & -2.69324084573283 & 0.791932334637867 \tabularnewline
0.11 & -2.45983270898032 & 0.677108726655603 \tabularnewline
0.12 & -2.26326626232066 & 0.57055634597144 \tabularnewline
0.13 & -2.09792957992592 & 0.496484084725577 \tabularnewline
0.14 & -1.95466294118699 & 0.466976977564838 \tabularnewline
0.15 & -1.82341206855835 & 0.478150730760473 \tabularnewline
0.16 & -1.69546548113751 & 0.515415071734588 \tabularnewline
0.17 & -1.56474907068122 & 0.563231733101899 \tabularnewline
0.18 & -1.42814191895426 & 0.609992719869908 \tabularnewline
0.19 & -1.28507895324704 & 0.648466276339042 \tabularnewline
0.2 & -1.13679327555901 & 0.675059798061815 \tabularnewline
0.21 & -0.985495838678872 & 0.688929525235223 \tabularnewline
0.22 & -0.833679280945502 & 0.691123575827584 \tabularnewline
0.23 & -0.683626757513972 & 0.68381384950845 \tabularnewline
0.24 & -0.537132860997406 & 0.669702421981021 \tabularnewline
0.25 & -0.395404927125292 & 0.651550987782347 \tabularnewline
0.26 & -0.259099273504783 & 0.63178267742499 \tabularnewline
0.27 & -0.128445687992713 & 0.612122339747048 \tabularnewline
0.28 & -0.00341581777727379 & 0.593322337654202 \tabularnewline
0.29 & 0.116106184695843 & 0.575111811730279 \tabularnewline
0.3 & 0.230187988758557 & 0.556434739336772 \tabularnewline
0.31 & 0.33877669335507 & 0.535944651424396 \tabularnewline
0.32 & 0.441703352423078 & 0.512588879466415 \tabularnewline
0.33 & 0.538759444734346 & 0.486104230238862 \tabularnewline
0.34 & 0.629822154974726 & 0.457282980784275 \tabularnewline
0.35 & 0.714992730362184 & 0.427984570713626 \tabularnewline
0.36 & 0.794708828317958 & 0.400906456305452 \tabularnewline
0.37 & 0.869798561641771 & 0.379142287315611 \tabularnewline
0.38 & 0.941458761966507 & 0.365555964461666 \tabularnewline
0.39 & 1.01115858332132 & 0.362041887466317 \tabularnewline
0.4 & 1.08048703662201 & 0.368930265589832 \tabularnewline
0.41 & 1.15097518979792 & 0.384876298993076 \tabularnewline
0.42 & 1.2239280867214 & 0.407311973537692 \tabularnewline
0.43 & 1.30029750129137 & 0.433147491959625 \tabularnewline
0.44 & 1.38061594241723 & 0.459397903823885 \tabularnewline
0.45 & 1.46499775777801 & 0.483620466546509 \tabularnewline
0.46 & 1.55319833097171 & 0.504149755446629 \tabularnewline
0.47 & 1.64471070383332 & 0.520164156626421 \tabularnewline
0.48 & 1.73887310353148 & 0.531588504267122 \tabularnewline
0.49 & 1.83496199098793 & 0.538852004650466 \tabularnewline
0.5 & 1.93225281733314 & 0.542555029457615 \tabularnewline
0.51 & 2.03004249379178 & 0.543143259320447 \tabularnewline
0.52 & 2.12764036045649 & 0.540690561142496 \tabularnewline
0.53 & 2.22434464043865 & 0.534846249818271 \tabularnewline
0.54 & 2.31942615074621 & 0.525007079568763 \tabularnewline
0.55 & 2.41213906572994 & 0.510616308287031 \tabularnewline
0.56 & 2.50177032267445 & 0.491507197105299 \tabularnewline
0.57 & 2.58772707637191 & 0.468200210077786 \tabularnewline
0.58 & 2.66964879551524 & 0.442079573999705 \tabularnewline
0.59 & 2.74752066189991 & 0.415395015919793 \tabularnewline
0.6 & 2.82176062774422 & 0.391124734846881 \tabularnewline
0.61 & 2.89325508612588 & 0.372619267939177 \tabularnewline
0.62 & 2.96332713735103 & 0.363045991404066 \tabularnewline
0.63 & 3.03363480305618 & 0.364639168620715 \tabularnewline
0.64 & 3.10601106572085 & 0.378010564664342 \tabularnewline
0.65 & 3.18226976009284 & 0.401958557806062 \tabularnewline
0.66 & 3.26400806979908 & 0.433873543434892 \tabularnewline
0.67 & 3.35243591645228 & 0.470407984041877 \tabularnewline
0.68 & 3.44825494796302 & 0.508076204984659 \tabularnewline
0.69 & 3.55159724761093 & 0.543667714281355 \tabularnewline
0.7 & 3.66202006176781 & 0.574470367900254 \tabularnewline
0.71 & 3.77854220693792 & 0.598335470893521 \tabularnewline
0.72 & 3.89970399225536 & 0.613619773475909 \tabularnewline
0.73 & 4.02363683091683 & 0.619039351363343 \tabularnewline
0.74 & 4.14813941581501 & 0.613552346813409 \tabularnewline
0.75 & 4.27076975878711 & 0.596387474896006 \tabularnewline
0.76 & 4.38897067987282 & 0.567197212084145 \tabularnewline
0.77 & 4.50024586355899 & 0.526379878842415 \tabularnewline
0.78 & 4.60239319723403 & 0.475401561968415 \tabularnewline
0.79 & 4.69378475401453 & 0.417006579277426 \tabularnewline
0.8 & 4.77366415542045 & 0.355201370796943 \tabularnewline
0.81 & 4.84241737683956 & 0.295042431876104 \tabularnewline
0.82 & 4.90176407357828 & 0.242423419556579 \tabularnewline
0.83 & 4.95481092107115 & 0.204106750669046 \tabularnewline
0.84 & 5.00590355931207 & 0.187541120629056 \tabularnewline
0.85 & 5.06021306738802 & 0.197950480719409 \tabularnewline
0.86 & 5.12301157507155 & 0.233473258883297 \tabularnewline
0.87 & 5.19865312139312 & 0.285559590471974 \tabularnewline
0.88 & 5.28939538761809 & 0.342223050966326 \tabularnewline
0.89 & 5.39435598660024 & 0.389617415816678 \tabularnewline
0.9 & 5.50902062671204 & 0.414067252418864 \tabularnewline
0.91 & 5.6256981163819 & 0.405679606743946 \tabularnewline
0.92 & 5.73506268110685 & 0.362218542227077 \tabularnewline
0.93 & 5.8284681518286 & 0.290958041423248 \tabularnewline
0.94 & 5.90025960598226 & 0.206892226255142 \tabularnewline
0.95 & 5.94914404922315 & 0.127409655807675 \tabularnewline
0.96 & 5.97801477325341 & 0.0658207095499833 \tabularnewline
0.97 & 5.99235527105087 & 0.0271029412948511 \tabularnewline
0.98 & 5.99805930233148 & 0.00808481607776489 \tabularnewline
0.99 & 5.99971848434675 & 0.00136889553731296 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=129607&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]-5.72375758082676[/C][C]0.801163116013659[/C][/ROW]
[ROW][C]0.02[/C][C]-5.33269521540969[/C][C]0.637769158215558[/C][/ROW]
[ROW][C]0.03[/C][C]-4.94491067533298[/C][C]0.619868956804816[/C][/ROW]
[ROW][C]0.04[/C][C]-4.58902382967401[/C][C]0.695465493131419[/C][/ROW]
[ROW][C]0.05[/C][C]-4.25102860902601[/C][C]0.789164570101868[/C][/ROW]
[ROW][C]0.06[/C][C]-3.91733522896128[/C][C]0.872829875562847[/C][/ROW]
[ROW][C]0.07[/C][C]-3.58613939237026[/C][C]0.927844643671483[/C][/ROW]
[ROW][C]0.08[/C][C]-3.26453931260753[/C][C]0.934878364574692[/C][/ROW]
[ROW][C]0.09[/C][C]-2.96348495935077[/C][C]0.886057599828844[/C][/ROW]
[ROW][C]0.1[/C][C]-2.69324084573283[/C][C]0.791932334637867[/C][/ROW]
[ROW][C]0.11[/C][C]-2.45983270898032[/C][C]0.677108726655603[/C][/ROW]
[ROW][C]0.12[/C][C]-2.26326626232066[/C][C]0.57055634597144[/C][/ROW]
[ROW][C]0.13[/C][C]-2.09792957992592[/C][C]0.496484084725577[/C][/ROW]
[ROW][C]0.14[/C][C]-1.95466294118699[/C][C]0.466976977564838[/C][/ROW]
[ROW][C]0.15[/C][C]-1.82341206855835[/C][C]0.478150730760473[/C][/ROW]
[ROW][C]0.16[/C][C]-1.69546548113751[/C][C]0.515415071734588[/C][/ROW]
[ROW][C]0.17[/C][C]-1.56474907068122[/C][C]0.563231733101899[/C][/ROW]
[ROW][C]0.18[/C][C]-1.42814191895426[/C][C]0.609992719869908[/C][/ROW]
[ROW][C]0.19[/C][C]-1.28507895324704[/C][C]0.648466276339042[/C][/ROW]
[ROW][C]0.2[/C][C]-1.13679327555901[/C][C]0.675059798061815[/C][/ROW]
[ROW][C]0.21[/C][C]-0.985495838678872[/C][C]0.688929525235223[/C][/ROW]
[ROW][C]0.22[/C][C]-0.833679280945502[/C][C]0.691123575827584[/C][/ROW]
[ROW][C]0.23[/C][C]-0.683626757513972[/C][C]0.68381384950845[/C][/ROW]
[ROW][C]0.24[/C][C]-0.537132860997406[/C][C]0.669702421981021[/C][/ROW]
[ROW][C]0.25[/C][C]-0.395404927125292[/C][C]0.651550987782347[/C][/ROW]
[ROW][C]0.26[/C][C]-0.259099273504783[/C][C]0.63178267742499[/C][/ROW]
[ROW][C]0.27[/C][C]-0.128445687992713[/C][C]0.612122339747048[/C][/ROW]
[ROW][C]0.28[/C][C]-0.00341581777727379[/C][C]0.593322337654202[/C][/ROW]
[ROW][C]0.29[/C][C]0.116106184695843[/C][C]0.575111811730279[/C][/ROW]
[ROW][C]0.3[/C][C]0.230187988758557[/C][C]0.556434739336772[/C][/ROW]
[ROW][C]0.31[/C][C]0.33877669335507[/C][C]0.535944651424396[/C][/ROW]
[ROW][C]0.32[/C][C]0.441703352423078[/C][C]0.512588879466415[/C][/ROW]
[ROW][C]0.33[/C][C]0.538759444734346[/C][C]0.486104230238862[/C][/ROW]
[ROW][C]0.34[/C][C]0.629822154974726[/C][C]0.457282980784275[/C][/ROW]
[ROW][C]0.35[/C][C]0.714992730362184[/C][C]0.427984570713626[/C][/ROW]
[ROW][C]0.36[/C][C]0.794708828317958[/C][C]0.400906456305452[/C][/ROW]
[ROW][C]0.37[/C][C]0.869798561641771[/C][C]0.379142287315611[/C][/ROW]
[ROW][C]0.38[/C][C]0.941458761966507[/C][C]0.365555964461666[/C][/ROW]
[ROW][C]0.39[/C][C]1.01115858332132[/C][C]0.362041887466317[/C][/ROW]
[ROW][C]0.4[/C][C]1.08048703662201[/C][C]0.368930265589832[/C][/ROW]
[ROW][C]0.41[/C][C]1.15097518979792[/C][C]0.384876298993076[/C][/ROW]
[ROW][C]0.42[/C][C]1.2239280867214[/C][C]0.407311973537692[/C][/ROW]
[ROW][C]0.43[/C][C]1.30029750129137[/C][C]0.433147491959625[/C][/ROW]
[ROW][C]0.44[/C][C]1.38061594241723[/C][C]0.459397903823885[/C][/ROW]
[ROW][C]0.45[/C][C]1.46499775777801[/C][C]0.483620466546509[/C][/ROW]
[ROW][C]0.46[/C][C]1.55319833097171[/C][C]0.504149755446629[/C][/ROW]
[ROW][C]0.47[/C][C]1.64471070383332[/C][C]0.520164156626421[/C][/ROW]
[ROW][C]0.48[/C][C]1.73887310353148[/C][C]0.531588504267122[/C][/ROW]
[ROW][C]0.49[/C][C]1.83496199098793[/C][C]0.538852004650466[/C][/ROW]
[ROW][C]0.5[/C][C]1.93225281733314[/C][C]0.542555029457615[/C][/ROW]
[ROW][C]0.51[/C][C]2.03004249379178[/C][C]0.543143259320447[/C][/ROW]
[ROW][C]0.52[/C][C]2.12764036045649[/C][C]0.540690561142496[/C][/ROW]
[ROW][C]0.53[/C][C]2.22434464043865[/C][C]0.534846249818271[/C][/ROW]
[ROW][C]0.54[/C][C]2.31942615074621[/C][C]0.525007079568763[/C][/ROW]
[ROW][C]0.55[/C][C]2.41213906572994[/C][C]0.510616308287031[/C][/ROW]
[ROW][C]0.56[/C][C]2.50177032267445[/C][C]0.491507197105299[/C][/ROW]
[ROW][C]0.57[/C][C]2.58772707637191[/C][C]0.468200210077786[/C][/ROW]
[ROW][C]0.58[/C][C]2.66964879551524[/C][C]0.442079573999705[/C][/ROW]
[ROW][C]0.59[/C][C]2.74752066189991[/C][C]0.415395015919793[/C][/ROW]
[ROW][C]0.6[/C][C]2.82176062774422[/C][C]0.391124734846881[/C][/ROW]
[ROW][C]0.61[/C][C]2.89325508612588[/C][C]0.372619267939177[/C][/ROW]
[ROW][C]0.62[/C][C]2.96332713735103[/C][C]0.363045991404066[/C][/ROW]
[ROW][C]0.63[/C][C]3.03363480305618[/C][C]0.364639168620715[/C][/ROW]
[ROW][C]0.64[/C][C]3.10601106572085[/C][C]0.378010564664342[/C][/ROW]
[ROW][C]0.65[/C][C]3.18226976009284[/C][C]0.401958557806062[/C][/ROW]
[ROW][C]0.66[/C][C]3.26400806979908[/C][C]0.433873543434892[/C][/ROW]
[ROW][C]0.67[/C][C]3.35243591645228[/C][C]0.470407984041877[/C][/ROW]
[ROW][C]0.68[/C][C]3.44825494796302[/C][C]0.508076204984659[/C][/ROW]
[ROW][C]0.69[/C][C]3.55159724761093[/C][C]0.543667714281355[/C][/ROW]
[ROW][C]0.7[/C][C]3.66202006176781[/C][C]0.574470367900254[/C][/ROW]
[ROW][C]0.71[/C][C]3.77854220693792[/C][C]0.598335470893521[/C][/ROW]
[ROW][C]0.72[/C][C]3.89970399225536[/C][C]0.613619773475909[/C][/ROW]
[ROW][C]0.73[/C][C]4.02363683091683[/C][C]0.619039351363343[/C][/ROW]
[ROW][C]0.74[/C][C]4.14813941581501[/C][C]0.613552346813409[/C][/ROW]
[ROW][C]0.75[/C][C]4.27076975878711[/C][C]0.596387474896006[/C][/ROW]
[ROW][C]0.76[/C][C]4.38897067987282[/C][C]0.567197212084145[/C][/ROW]
[ROW][C]0.77[/C][C]4.50024586355899[/C][C]0.526379878842415[/C][/ROW]
[ROW][C]0.78[/C][C]4.60239319723403[/C][C]0.475401561968415[/C][/ROW]
[ROW][C]0.79[/C][C]4.69378475401453[/C][C]0.417006579277426[/C][/ROW]
[ROW][C]0.8[/C][C]4.77366415542045[/C][C]0.355201370796943[/C][/ROW]
[ROW][C]0.81[/C][C]4.84241737683956[/C][C]0.295042431876104[/C][/ROW]
[ROW][C]0.82[/C][C]4.90176407357828[/C][C]0.242423419556579[/C][/ROW]
[ROW][C]0.83[/C][C]4.95481092107115[/C][C]0.204106750669046[/C][/ROW]
[ROW][C]0.84[/C][C]5.00590355931207[/C][C]0.187541120629056[/C][/ROW]
[ROW][C]0.85[/C][C]5.06021306738802[/C][C]0.197950480719409[/C][/ROW]
[ROW][C]0.86[/C][C]5.12301157507155[/C][C]0.233473258883297[/C][/ROW]
[ROW][C]0.87[/C][C]5.19865312139312[/C][C]0.285559590471974[/C][/ROW]
[ROW][C]0.88[/C][C]5.28939538761809[/C][C]0.342223050966326[/C][/ROW]
[ROW][C]0.89[/C][C]5.39435598660024[/C][C]0.389617415816678[/C][/ROW]
[ROW][C]0.9[/C][C]5.50902062671204[/C][C]0.414067252418864[/C][/ROW]
[ROW][C]0.91[/C][C]5.6256981163819[/C][C]0.405679606743946[/C][/ROW]
[ROW][C]0.92[/C][C]5.73506268110685[/C][C]0.362218542227077[/C][/ROW]
[ROW][C]0.93[/C][C]5.8284681518286[/C][C]0.290958041423248[/C][/ROW]
[ROW][C]0.94[/C][C]5.90025960598226[/C][C]0.206892226255142[/C][/ROW]
[ROW][C]0.95[/C][C]5.94914404922315[/C][C]0.127409655807675[/C][/ROW]
[ROW][C]0.96[/C][C]5.97801477325341[/C][C]0.0658207095499833[/C][/ROW]
[ROW][C]0.97[/C][C]5.99235527105087[/C][C]0.0271029412948511[/C][/ROW]
[ROW][C]0.98[/C][C]5.99805930233148[/C][C]0.00808481607776489[/C][/ROW]
[ROW][C]0.99[/C][C]5.99971848434675[/C][C]0.00136889553731296[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=129607&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=129607&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
0.01-5.723757580826760.801163116013659
0.02-5.332695215409690.637769158215558
0.03-4.944910675332980.619868956804816
0.04-4.589023829674010.695465493131419
0.05-4.251028609026010.789164570101868
0.06-3.917335228961280.872829875562847
0.07-3.586139392370260.927844643671483
0.08-3.264539312607530.934878364574692
0.09-2.963484959350770.886057599828844
0.1-2.693240845732830.791932334637867
0.11-2.459832708980320.677108726655603
0.12-2.263266262320660.57055634597144
0.13-2.097929579925920.496484084725577
0.14-1.954662941186990.466976977564838
0.15-1.823412068558350.478150730760473
0.16-1.695465481137510.515415071734588
0.17-1.564749070681220.563231733101899
0.18-1.428141918954260.609992719869908
0.19-1.285078953247040.648466276339042
0.2-1.136793275559010.675059798061815
0.21-0.9854958386788720.688929525235223
0.22-0.8336792809455020.691123575827584
0.23-0.6836267575139720.68381384950845
0.24-0.5371328609974060.669702421981021
0.25-0.3954049271252920.651550987782347
0.26-0.2590992735047830.63178267742499
0.27-0.1284456879927130.612122339747048
0.28-0.003415817777273790.593322337654202
0.290.1161061846958430.575111811730279
0.30.2301879887585570.556434739336772
0.310.338776693355070.535944651424396
0.320.4417033524230780.512588879466415
0.330.5387594447343460.486104230238862
0.340.6298221549747260.457282980784275
0.350.7149927303621840.427984570713626
0.360.7947088283179580.400906456305452
0.370.8697985616417710.379142287315611
0.380.9414587619665070.365555964461666
0.391.011158583321320.362041887466317
0.41.080487036622010.368930265589832
0.411.150975189797920.384876298993076
0.421.22392808672140.407311973537692
0.431.300297501291370.433147491959625
0.441.380615942417230.459397903823885
0.451.464997757778010.483620466546509
0.461.553198330971710.504149755446629
0.471.644710703833320.520164156626421
0.481.738873103531480.531588504267122
0.491.834961990987930.538852004650466
0.51.932252817333140.542555029457615
0.512.030042493791780.543143259320447
0.522.127640360456490.540690561142496
0.532.224344640438650.534846249818271
0.542.319426150746210.525007079568763
0.552.412139065729940.510616308287031
0.562.501770322674450.491507197105299
0.572.587727076371910.468200210077786
0.582.669648795515240.442079573999705
0.592.747520661899910.415395015919793
0.62.821760627744220.391124734846881
0.612.893255086125880.372619267939177
0.622.963327137351030.363045991404066
0.633.033634803056180.364639168620715
0.643.106011065720850.378010564664342
0.653.182269760092840.401958557806062
0.663.264008069799080.433873543434892
0.673.352435916452280.470407984041877
0.683.448254947963020.508076204984659
0.693.551597247610930.543667714281355
0.73.662020061767810.574470367900254
0.713.778542206937920.598335470893521
0.723.899703992255360.613619773475909
0.734.023636830916830.619039351363343
0.744.148139415815010.613552346813409
0.754.270769758787110.596387474896006
0.764.388970679872820.567197212084145
0.774.500245863558990.526379878842415
0.784.602393197234030.475401561968415
0.794.693784754014530.417006579277426
0.84.773664155420450.355201370796943
0.814.842417376839560.295042431876104
0.824.901764073578280.242423419556579
0.834.954810921071150.204106750669046
0.845.005903559312070.187541120629056
0.855.060213067388020.197950480719409
0.865.123011575071550.233473258883297
0.875.198653121393120.285559590471974
0.885.289395387618090.342223050966326
0.895.394355986600240.389617415816678
0.95.509020626712040.414067252418864
0.915.62569811638190.405679606743946
0.925.735062681106850.362218542227077
0.935.82846815182860.290958041423248
0.945.900259605982260.206892226255142
0.955.949144049223150.127409655807675
0.965.978014773253410.0658207095499833
0.975.992355271050870.0271029412948511
0.985.998059302331480.00808481607776489
0.995.999718484346750.00136889553731296


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')