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 computationWed, 20 Oct 2010 17:35:43 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/20/t1287596070yncrk4tc4l9m9ru.htm/, Retrieved Fri, 03 May 2024 23:04:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=87248, Retrieved Fri, 03 May 2024 23:04:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact104

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 2] [2010-10-20 17:35:43] [8926b0113c2f0aa20b2cf07d29df363f] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
110,04
111,73
110,99
115,83
125,33
123,03
123,46
130,34
131,21
132,97
133,91
133,14
135,31
133,09
135,39
131,85
130,25
127,65
118,3
119,73
122,51
123,28
133,52
153,2
163,63
168,45
166,26
162,31
161,56
156,59
157,97
158,68
163,55
162,89
164,95
159,82
159,05
166,76
164,55
163,22
160,68
155,24
157,6
156,56
154,82
151,11
149,65
148,99
148,53
146,7
145,11
142,7
143,59
140,96
140,77
139,81
140,58
139,59
138,05
136,06
135,98
134,75
132,22
135,37
138,84
138,83
136,55
135,63
139,14
136,09
135,97
134,51
134,54
134,08
132,86
134,48
129,08
133,13
134,78
134,13
132,43
127,84
128,12
128,94

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=87248&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=87248&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=87248&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01110.5799363311261.27409048878034
0.02111.6558023185402.2076906851729
0.03113.1465981494353.16618256865926
0.04114.8838953466443.70399891435172
0.05116.6740787160443.78359839820444
0.06118.3583449505033.57545778897371
0.07119.8528256080483.26004182611425
0.08121.1433092241132.95925774797453
0.09122.2577359205812.73959895077662
0.1123.2395031799432.61977525062002
0.11124.1295326923302.57538877620053
0.12124.9570974719532.55888500585438
0.13125.7377091335272.52733207926317
0.14126.4759355542632.46032996831911
0.15127.1704993566952.35957827681599
0.16127.8190757017962.24022178632607
0.17128.4211658688372.11967568315779
0.18128.9787479755252.00870211156127
0.19129.4953987711211.90964668680127
0.2129.9749138650841.81755519179233
0.21130.4202376825031.72568546980909
0.22130.8330644163221.62810000424508
0.23131.2140678239931.52218178988646
0.24131.5634957509361.40954528645048
0.25131.8818259464541.29408713788395
0.26132.1702562246231.18150838817353
0.27132.4309196016661.07745873470058
0.28132.6668219420090.987142383053044
0.29132.8815718535340.913169795516377
0.3133.0790059272810.855982658729917
0.31133.2628129887020.814571996222796
0.32133.4362386675750.785328641516413
0.33133.6019168679390.765495211161814
0.34133.7618376094080.751166310200439
0.35133.9174296581420.740441230382773
0.36134.0697171719740.731955623528674
0.37134.2195044614470.725729871360016
0.38134.367550271550.722675478456101
0.39134.5147079615730.723901933313247
0.4134.6620243741890.730154160611233
0.41134.8108023662090.743886811369702
0.42134.9626365533510.765781039445752
0.43135.1194286539010.798171506194728
0.44135.2833808105720.842588102608721
0.45135.4569572323330.900513493506884
0.46135.6428013667130.97311876736592
0.47135.8436008298241.05994430416653
0.48136.0619056958071.15992827666564
0.49136.2999242532181.27008247153372
0.5136.5593380341391.38666179661236
0.51136.8411878919491.50509985428568
0.52137.1458795223011.62134610922531
0.53137.473337889411.73236715544332
0.54137.8233079954371.83840223905719
0.55138.1957612642531.94154334765624
0.56138.5913323027972.04639601500956
0.57139.0116899370762.16105331281534
0.58139.4597464697872.29290391147033
0.59139.9396323976342.44875552514946
0.6140.4564067857982.63299775097889
0.61141.0155272220252.84561020451902
0.62141.6221554433983.08196654728735
0.63142.2804124388303.33372052040204
0.64142.9927098060073.58863616456952
0.65143.7592677419903.8344838322409
0.66144.5778873236964.05785325413915
0.67145.4439867202914.24784118477527
0.68146.3508545006284.39554791842205
0.69147.2900361187094.49521558361789
0.7148.2517645467934.54341217136596
0.71149.2253744347124.5384239557678
0.72150.1996892942434.4796473102347
0.73151.1634208831814.36847671908346
0.74152.1056449463234.20721932319303
0.75153.0164019953794.00140123252143
0.76153.8874167072713.75973814893508
0.77154.7128534802573.49487774538671
0.78155.4899583154693.22216927907747
0.79156.2194067989272.95832089389207
0.8156.9052001412862.71904859711506
0.81157.5540240159792.51605726283365
0.82158.1740923567972.35493251599135
0.83158.7736189402382.23302667994262
0.84159.3591736676492.14013080979468
0.85159.9342702162392.06023433968404
0.86160.4985759534661.97527551575228
0.87161.0481038867771.87003273614846
0.88161.5766049433791.73627682450658
0.89162.0781043847491.57666238053048
0.9162.5501378929461.40550197076761
0.91162.9968279886711.24711323943416
0.92163.4306497867491.13023588247452
0.93163.8717472263371.07649934204549
0.94164.3442618664611.08638775338312
0.95164.8710003087901.13188410922533
0.96165.4713112948381.16545129052644
0.97166.1669354466831.15739386534771
0.98166.9772997129341.17864821461407
0.99167.8375602312171.38704283183252

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 110.579936331126 & 1.27409048878034 \tabularnewline
0.02 & 111.655802318540 & 2.2076906851729 \tabularnewline
0.03 & 113.146598149435 & 3.16618256865926 \tabularnewline
0.04 & 114.883895346644 & 3.70399891435172 \tabularnewline
0.05 & 116.674078716044 & 3.78359839820444 \tabularnewline
0.06 & 118.358344950503 & 3.57545778897371 \tabularnewline
0.07 & 119.852825608048 & 3.26004182611425 \tabularnewline
0.08 & 121.143309224113 & 2.95925774797453 \tabularnewline
0.09 & 122.257735920581 & 2.73959895077662 \tabularnewline
0.1 & 123.239503179943 & 2.61977525062002 \tabularnewline
0.11 & 124.129532692330 & 2.57538877620053 \tabularnewline
0.12 & 124.957097471953 & 2.55888500585438 \tabularnewline
0.13 & 125.737709133527 & 2.52733207926317 \tabularnewline
0.14 & 126.475935554263 & 2.46032996831911 \tabularnewline
0.15 & 127.170499356695 & 2.35957827681599 \tabularnewline
0.16 & 127.819075701796 & 2.24022178632607 \tabularnewline
0.17 & 128.421165868837 & 2.11967568315779 \tabularnewline
0.18 & 128.978747975525 & 2.00870211156127 \tabularnewline
0.19 & 129.495398771121 & 1.90964668680127 \tabularnewline
0.2 & 129.974913865084 & 1.81755519179233 \tabularnewline
0.21 & 130.420237682503 & 1.72568546980909 \tabularnewline
0.22 & 130.833064416322 & 1.62810000424508 \tabularnewline
0.23 & 131.214067823993 & 1.52218178988646 \tabularnewline
0.24 & 131.563495750936 & 1.40954528645048 \tabularnewline
0.25 & 131.881825946454 & 1.29408713788395 \tabularnewline
0.26 & 132.170256224623 & 1.18150838817353 \tabularnewline
0.27 & 132.430919601666 & 1.07745873470058 \tabularnewline
0.28 & 132.666821942009 & 0.987142383053044 \tabularnewline
0.29 & 132.881571853534 & 0.913169795516377 \tabularnewline
0.3 & 133.079005927281 & 0.855982658729917 \tabularnewline
0.31 & 133.262812988702 & 0.814571996222796 \tabularnewline
0.32 & 133.436238667575 & 0.785328641516413 \tabularnewline
0.33 & 133.601916867939 & 0.765495211161814 \tabularnewline
0.34 & 133.761837609408 & 0.751166310200439 \tabularnewline
0.35 & 133.917429658142 & 0.740441230382773 \tabularnewline
0.36 & 134.069717171974 & 0.731955623528674 \tabularnewline
0.37 & 134.219504461447 & 0.725729871360016 \tabularnewline
0.38 & 134.36755027155 & 0.722675478456101 \tabularnewline
0.39 & 134.514707961573 & 0.723901933313247 \tabularnewline
0.4 & 134.662024374189 & 0.730154160611233 \tabularnewline
0.41 & 134.810802366209 & 0.743886811369702 \tabularnewline
0.42 & 134.962636553351 & 0.765781039445752 \tabularnewline
0.43 & 135.119428653901 & 0.798171506194728 \tabularnewline
0.44 & 135.283380810572 & 0.842588102608721 \tabularnewline
0.45 & 135.456957232333 & 0.900513493506884 \tabularnewline
0.46 & 135.642801366713 & 0.97311876736592 \tabularnewline
0.47 & 135.843600829824 & 1.05994430416653 \tabularnewline
0.48 & 136.061905695807 & 1.15992827666564 \tabularnewline
0.49 & 136.299924253218 & 1.27008247153372 \tabularnewline
0.5 & 136.559338034139 & 1.38666179661236 \tabularnewline
0.51 & 136.841187891949 & 1.50509985428568 \tabularnewline
0.52 & 137.145879522301 & 1.62134610922531 \tabularnewline
0.53 & 137.47333788941 & 1.73236715544332 \tabularnewline
0.54 & 137.823307995437 & 1.83840223905719 \tabularnewline
0.55 & 138.195761264253 & 1.94154334765624 \tabularnewline
0.56 & 138.591332302797 & 2.04639601500956 \tabularnewline
0.57 & 139.011689937076 & 2.16105331281534 \tabularnewline
0.58 & 139.459746469787 & 2.29290391147033 \tabularnewline
0.59 & 139.939632397634 & 2.44875552514946 \tabularnewline
0.6 & 140.456406785798 & 2.63299775097889 \tabularnewline
0.61 & 141.015527222025 & 2.84561020451902 \tabularnewline
0.62 & 141.622155443398 & 3.08196654728735 \tabularnewline
0.63 & 142.280412438830 & 3.33372052040204 \tabularnewline
0.64 & 142.992709806007 & 3.58863616456952 \tabularnewline
0.65 & 143.759267741990 & 3.8344838322409 \tabularnewline
0.66 & 144.577887323696 & 4.05785325413915 \tabularnewline
0.67 & 145.443986720291 & 4.24784118477527 \tabularnewline
0.68 & 146.350854500628 & 4.39554791842205 \tabularnewline
0.69 & 147.290036118709 & 4.49521558361789 \tabularnewline
0.7 & 148.251764546793 & 4.54341217136596 \tabularnewline
0.71 & 149.225374434712 & 4.5384239557678 \tabularnewline
0.72 & 150.199689294243 & 4.4796473102347 \tabularnewline
0.73 & 151.163420883181 & 4.36847671908346 \tabularnewline
0.74 & 152.105644946323 & 4.20721932319303 \tabularnewline
0.75 & 153.016401995379 & 4.00140123252143 \tabularnewline
0.76 & 153.887416707271 & 3.75973814893508 \tabularnewline
0.77 & 154.712853480257 & 3.49487774538671 \tabularnewline
0.78 & 155.489958315469 & 3.22216927907747 \tabularnewline
0.79 & 156.219406798927 & 2.95832089389207 \tabularnewline
0.8 & 156.905200141286 & 2.71904859711506 \tabularnewline
0.81 & 157.554024015979 & 2.51605726283365 \tabularnewline
0.82 & 158.174092356797 & 2.35493251599135 \tabularnewline
0.83 & 158.773618940238 & 2.23302667994262 \tabularnewline
0.84 & 159.359173667649 & 2.14013080979468 \tabularnewline
0.85 & 159.934270216239 & 2.06023433968404 \tabularnewline
0.86 & 160.498575953466 & 1.97527551575228 \tabularnewline
0.87 & 161.048103886777 & 1.87003273614846 \tabularnewline
0.88 & 161.576604943379 & 1.73627682450658 \tabularnewline
0.89 & 162.078104384749 & 1.57666238053048 \tabularnewline
0.9 & 162.550137892946 & 1.40550197076761 \tabularnewline
0.91 & 162.996827988671 & 1.24711323943416 \tabularnewline
0.92 & 163.430649786749 & 1.13023588247452 \tabularnewline
0.93 & 163.871747226337 & 1.07649934204549 \tabularnewline
0.94 & 164.344261866461 & 1.08638775338312 \tabularnewline
0.95 & 164.871000308790 & 1.13188410922533 \tabularnewline
0.96 & 165.471311294838 & 1.16545129052644 \tabularnewline
0.97 & 166.166935446683 & 1.15739386534771 \tabularnewline
0.98 & 166.977299712934 & 1.17864821461407 \tabularnewline
0.99 & 167.837560231217 & 1.38704283183252 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=87248&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]110.579936331126[/C][C]1.27409048878034[/C][/ROW]
[ROW][C]0.02[/C][C]111.655802318540[/C][C]2.2076906851729[/C][/ROW]
[ROW][C]0.03[/C][C]113.146598149435[/C][C]3.16618256865926[/C][/ROW]
[ROW][C]0.04[/C][C]114.883895346644[/C][C]3.70399891435172[/C][/ROW]
[ROW][C]0.05[/C][C]116.674078716044[/C][C]3.78359839820444[/C][/ROW]
[ROW][C]0.06[/C][C]118.358344950503[/C][C]3.57545778897371[/C][/ROW]
[ROW][C]0.07[/C][C]119.852825608048[/C][C]3.26004182611425[/C][/ROW]
[ROW][C]0.08[/C][C]121.143309224113[/C][C]2.95925774797453[/C][/ROW]
[ROW][C]0.09[/C][C]122.257735920581[/C][C]2.73959895077662[/C][/ROW]
[ROW][C]0.1[/C][C]123.239503179943[/C][C]2.61977525062002[/C][/ROW]
[ROW][C]0.11[/C][C]124.129532692330[/C][C]2.57538877620053[/C][/ROW]
[ROW][C]0.12[/C][C]124.957097471953[/C][C]2.55888500585438[/C][/ROW]
[ROW][C]0.13[/C][C]125.737709133527[/C][C]2.52733207926317[/C][/ROW]
[ROW][C]0.14[/C][C]126.475935554263[/C][C]2.46032996831911[/C][/ROW]
[ROW][C]0.15[/C][C]127.170499356695[/C][C]2.35957827681599[/C][/ROW]
[ROW][C]0.16[/C][C]127.819075701796[/C][C]2.24022178632607[/C][/ROW]
[ROW][C]0.17[/C][C]128.421165868837[/C][C]2.11967568315779[/C][/ROW]
[ROW][C]0.18[/C][C]128.978747975525[/C][C]2.00870211156127[/C][/ROW]
[ROW][C]0.19[/C][C]129.495398771121[/C][C]1.90964668680127[/C][/ROW]
[ROW][C]0.2[/C][C]129.974913865084[/C][C]1.81755519179233[/C][/ROW]
[ROW][C]0.21[/C][C]130.420237682503[/C][C]1.72568546980909[/C][/ROW]
[ROW][C]0.22[/C][C]130.833064416322[/C][C]1.62810000424508[/C][/ROW]
[ROW][C]0.23[/C][C]131.214067823993[/C][C]1.52218178988646[/C][/ROW]
[ROW][C]0.24[/C][C]131.563495750936[/C][C]1.40954528645048[/C][/ROW]
[ROW][C]0.25[/C][C]131.881825946454[/C][C]1.29408713788395[/C][/ROW]
[ROW][C]0.26[/C][C]132.170256224623[/C][C]1.18150838817353[/C][/ROW]
[ROW][C]0.27[/C][C]132.430919601666[/C][C]1.07745873470058[/C][/ROW]
[ROW][C]0.28[/C][C]132.666821942009[/C][C]0.987142383053044[/C][/ROW]
[ROW][C]0.29[/C][C]132.881571853534[/C][C]0.913169795516377[/C][/ROW]
[ROW][C]0.3[/C][C]133.079005927281[/C][C]0.855982658729917[/C][/ROW]
[ROW][C]0.31[/C][C]133.262812988702[/C][C]0.814571996222796[/C][/ROW]
[ROW][C]0.32[/C][C]133.436238667575[/C][C]0.785328641516413[/C][/ROW]
[ROW][C]0.33[/C][C]133.601916867939[/C][C]0.765495211161814[/C][/ROW]
[ROW][C]0.34[/C][C]133.761837609408[/C][C]0.751166310200439[/C][/ROW]
[ROW][C]0.35[/C][C]133.917429658142[/C][C]0.740441230382773[/C][/ROW]
[ROW][C]0.36[/C][C]134.069717171974[/C][C]0.731955623528674[/C][/ROW]
[ROW][C]0.37[/C][C]134.219504461447[/C][C]0.725729871360016[/C][/ROW]
[ROW][C]0.38[/C][C]134.36755027155[/C][C]0.722675478456101[/C][/ROW]
[ROW][C]0.39[/C][C]134.514707961573[/C][C]0.723901933313247[/C][/ROW]
[ROW][C]0.4[/C][C]134.662024374189[/C][C]0.730154160611233[/C][/ROW]
[ROW][C]0.41[/C][C]134.810802366209[/C][C]0.743886811369702[/C][/ROW]
[ROW][C]0.42[/C][C]134.962636553351[/C][C]0.765781039445752[/C][/ROW]
[ROW][C]0.43[/C][C]135.119428653901[/C][C]0.798171506194728[/C][/ROW]
[ROW][C]0.44[/C][C]135.283380810572[/C][C]0.842588102608721[/C][/ROW]
[ROW][C]0.45[/C][C]135.456957232333[/C][C]0.900513493506884[/C][/ROW]
[ROW][C]0.46[/C][C]135.642801366713[/C][C]0.97311876736592[/C][/ROW]
[ROW][C]0.47[/C][C]135.843600829824[/C][C]1.05994430416653[/C][/ROW]
[ROW][C]0.48[/C][C]136.061905695807[/C][C]1.15992827666564[/C][/ROW]
[ROW][C]0.49[/C][C]136.299924253218[/C][C]1.27008247153372[/C][/ROW]
[ROW][C]0.5[/C][C]136.559338034139[/C][C]1.38666179661236[/C][/ROW]
[ROW][C]0.51[/C][C]136.841187891949[/C][C]1.50509985428568[/C][/ROW]
[ROW][C]0.52[/C][C]137.145879522301[/C][C]1.62134610922531[/C][/ROW]
[ROW][C]0.53[/C][C]137.47333788941[/C][C]1.73236715544332[/C][/ROW]
[ROW][C]0.54[/C][C]137.823307995437[/C][C]1.83840223905719[/C][/ROW]
[ROW][C]0.55[/C][C]138.195761264253[/C][C]1.94154334765624[/C][/ROW]
[ROW][C]0.56[/C][C]138.591332302797[/C][C]2.04639601500956[/C][/ROW]
[ROW][C]0.57[/C][C]139.011689937076[/C][C]2.16105331281534[/C][/ROW]
[ROW][C]0.58[/C][C]139.459746469787[/C][C]2.29290391147033[/C][/ROW]
[ROW][C]0.59[/C][C]139.939632397634[/C][C]2.44875552514946[/C][/ROW]
[ROW][C]0.6[/C][C]140.456406785798[/C][C]2.63299775097889[/C][/ROW]
[ROW][C]0.61[/C][C]141.015527222025[/C][C]2.84561020451902[/C][/ROW]
[ROW][C]0.62[/C][C]141.622155443398[/C][C]3.08196654728735[/C][/ROW]
[ROW][C]0.63[/C][C]142.280412438830[/C][C]3.33372052040204[/C][/ROW]
[ROW][C]0.64[/C][C]142.992709806007[/C][C]3.58863616456952[/C][/ROW]
[ROW][C]0.65[/C][C]143.759267741990[/C][C]3.8344838322409[/C][/ROW]
[ROW][C]0.66[/C][C]144.577887323696[/C][C]4.05785325413915[/C][/ROW]
[ROW][C]0.67[/C][C]145.443986720291[/C][C]4.24784118477527[/C][/ROW]
[ROW][C]0.68[/C][C]146.350854500628[/C][C]4.39554791842205[/C][/ROW]
[ROW][C]0.69[/C][C]147.290036118709[/C][C]4.49521558361789[/C][/ROW]
[ROW][C]0.7[/C][C]148.251764546793[/C][C]4.54341217136596[/C][/ROW]
[ROW][C]0.71[/C][C]149.225374434712[/C][C]4.5384239557678[/C][/ROW]
[ROW][C]0.72[/C][C]150.199689294243[/C][C]4.4796473102347[/C][/ROW]
[ROW][C]0.73[/C][C]151.163420883181[/C][C]4.36847671908346[/C][/ROW]
[ROW][C]0.74[/C][C]152.105644946323[/C][C]4.20721932319303[/C][/ROW]
[ROW][C]0.75[/C][C]153.016401995379[/C][C]4.00140123252143[/C][/ROW]
[ROW][C]0.76[/C][C]153.887416707271[/C][C]3.75973814893508[/C][/ROW]
[ROW][C]0.77[/C][C]154.712853480257[/C][C]3.49487774538671[/C][/ROW]
[ROW][C]0.78[/C][C]155.489958315469[/C][C]3.22216927907747[/C][/ROW]
[ROW][C]0.79[/C][C]156.219406798927[/C][C]2.95832089389207[/C][/ROW]
[ROW][C]0.8[/C][C]156.905200141286[/C][C]2.71904859711506[/C][/ROW]
[ROW][C]0.81[/C][C]157.554024015979[/C][C]2.51605726283365[/C][/ROW]
[ROW][C]0.82[/C][C]158.174092356797[/C][C]2.35493251599135[/C][/ROW]
[ROW][C]0.83[/C][C]158.773618940238[/C][C]2.23302667994262[/C][/ROW]
[ROW][C]0.84[/C][C]159.359173667649[/C][C]2.14013080979468[/C][/ROW]
[ROW][C]0.85[/C][C]159.934270216239[/C][C]2.06023433968404[/C][/ROW]
[ROW][C]0.86[/C][C]160.498575953466[/C][C]1.97527551575228[/C][/ROW]
[ROW][C]0.87[/C][C]161.048103886777[/C][C]1.87003273614846[/C][/ROW]
[ROW][C]0.88[/C][C]161.576604943379[/C][C]1.73627682450658[/C][/ROW]
[ROW][C]0.89[/C][C]162.078104384749[/C][C]1.57666238053048[/C][/ROW]
[ROW][C]0.9[/C][C]162.550137892946[/C][C]1.40550197076761[/C][/ROW]
[ROW][C]0.91[/C][C]162.996827988671[/C][C]1.24711323943416[/C][/ROW]
[ROW][C]0.92[/C][C]163.430649786749[/C][C]1.13023588247452[/C][/ROW]
[ROW][C]0.93[/C][C]163.871747226337[/C][C]1.07649934204549[/C][/ROW]
[ROW][C]0.94[/C][C]164.344261866461[/C][C]1.08638775338312[/C][/ROW]
[ROW][C]0.95[/C][C]164.871000308790[/C][C]1.13188410922533[/C][/ROW]
[ROW][C]0.96[/C][C]165.471311294838[/C][C]1.16545129052644[/C][/ROW]
[ROW][C]0.97[/C][C]166.166935446683[/C][C]1.15739386534771[/C][/ROW]
[ROW][C]0.98[/C][C]166.977299712934[/C][C]1.17864821461407[/C][/ROW]
[ROW][C]0.99[/C][C]167.837560231217[/C][C]1.38704283183252[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=87248&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=87248&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
0.01110.5799363311261.27409048878034
0.02111.6558023185402.2076906851729
0.03113.1465981494353.16618256865926
0.04114.8838953466443.70399891435172
0.05116.6740787160443.78359839820444
0.06118.3583449505033.57545778897371
0.07119.8528256080483.26004182611425
0.08121.1433092241132.95925774797453
0.09122.2577359205812.73959895077662
0.1123.2395031799432.61977525062002
0.11124.1295326923302.57538877620053
0.12124.9570974719532.55888500585438
0.13125.7377091335272.52733207926317
0.14126.4759355542632.46032996831911
0.15127.1704993566952.35957827681599
0.16127.8190757017962.24022178632607
0.17128.4211658688372.11967568315779
0.18128.9787479755252.00870211156127
0.19129.4953987711211.90964668680127
0.2129.9749138650841.81755519179233
0.21130.4202376825031.72568546980909
0.22130.8330644163221.62810000424508
0.23131.2140678239931.52218178988646
0.24131.5634957509361.40954528645048
0.25131.8818259464541.29408713788395
0.26132.1702562246231.18150838817353
0.27132.4309196016661.07745873470058
0.28132.6668219420090.987142383053044
0.29132.8815718535340.913169795516377
0.3133.0790059272810.855982658729917
0.31133.2628129887020.814571996222796
0.32133.4362386675750.785328641516413
0.33133.6019168679390.765495211161814
0.34133.7618376094080.751166310200439
0.35133.9174296581420.740441230382773
0.36134.0697171719740.731955623528674
0.37134.2195044614470.725729871360016
0.38134.367550271550.722675478456101
0.39134.5147079615730.723901933313247
0.4134.6620243741890.730154160611233
0.41134.8108023662090.743886811369702
0.42134.9626365533510.765781039445752
0.43135.1194286539010.798171506194728
0.44135.2833808105720.842588102608721
0.45135.4569572323330.900513493506884
0.46135.6428013667130.97311876736592
0.47135.8436008298241.05994430416653
0.48136.0619056958071.15992827666564
0.49136.2999242532181.27008247153372
0.5136.5593380341391.38666179661236
0.51136.8411878919491.50509985428568
0.52137.1458795223011.62134610922531
0.53137.473337889411.73236715544332
0.54137.8233079954371.83840223905719
0.55138.1957612642531.94154334765624
0.56138.5913323027972.04639601500956
0.57139.0116899370762.16105331281534
0.58139.4597464697872.29290391147033
0.59139.9396323976342.44875552514946
0.6140.4564067857982.63299775097889
0.61141.0155272220252.84561020451902
0.62141.6221554433983.08196654728735
0.63142.2804124388303.33372052040204
0.64142.9927098060073.58863616456952
0.65143.7592677419903.8344838322409
0.66144.5778873236964.05785325413915
0.67145.4439867202914.24784118477527
0.68146.3508545006284.39554791842205
0.69147.2900361187094.49521558361789
0.7148.2517645467934.54341217136596
0.71149.2253744347124.5384239557678
0.72150.1996892942434.4796473102347
0.73151.1634208831814.36847671908346
0.74152.1056449463234.20721932319303
0.75153.0164019953794.00140123252143
0.76153.8874167072713.75973814893508
0.77154.7128534802573.49487774538671
0.78155.4899583154693.22216927907747
0.79156.2194067989272.95832089389207
0.8156.9052001412862.71904859711506
0.81157.5540240159792.51605726283365
0.82158.1740923567972.35493251599135
0.83158.7736189402382.23302667994262
0.84159.3591736676492.14013080979468
0.85159.9342702162392.06023433968404
0.86160.4985759534661.97527551575228
0.87161.0481038867771.87003273614846
0.88161.5766049433791.73627682450658
0.89162.0781043847491.57666238053048
0.9162.5501378929461.40550197076761
0.91162.9968279886711.24711323943416
0.92163.4306497867491.13023588247452
0.93163.8717472263371.07649934204549
0.94164.3442618664611.08638775338312
0.95164.8710003087901.13188410922533
0.96165.4713112948381.16545129052644
0.97166.1669354466831.15739386534771
0.98166.9772997129341.17864821461407
0.99167.8375602312171.38704283183252


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')