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 computationTue, 03 Aug 2010 12:09:48 +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/Aug/03/t12808374216ulbkplxwegg5wx.htm/, Retrieved Thu, 02 May 2024 14:20:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78238, Retrieved Thu, 02 May 2024 14:20:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsLisa Bruggeman
Estimated Impact162

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Quartiles] [Tijdreeks 1 - Stap 8] [2010-07-15 13:59:40] [e35b30db8ce3563ce7b9c1c6d8c0e4ae]
- RM D    [Harrell-Davis Quantiles] [TIJDREEKS A - STA...] [2010-08-03 12:09:48] [0e6aef37627b8cf9d1bd74110cef2cca] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
95
94
93
91
111
110
95
85
86
86
87
89
93
96
99
92
109
110
97
88
93
93
89
89
91
97
99
85
101
105
88
80
87
84
87
87
85
96
102
93
111
117
101
88
98
89
93
93
95
105
109
94
113
125
106
95
109
100
94
94
94
103
103
80
106
117
99
95
116
118
100
100
105
121
131
108
136
149
131
137
164
169
154
160
166
186
197
166
191
207
187
191
222
230
210
224
234
251
258
227
254
281
261
264
286
293
276
292
299
319
329
293
318
346
327
329
353
355
332
346

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78238&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78238&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78238&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0180.80291953969171.69262457003616
0.0282.42142545657532.14930211483501
0.0383.91445075133671.48260001067659
0.0484.89161865574120.981417862943644
0.0585.5193870899470.87021412391539
0.0686.00543077765650.874934489940607
0.0786.43778828863740.86793950157332
0.0886.83824605124090.860576650938399
0.0987.21801904234650.88801020006145
0.187.5931840261130.96213941523591
0.1187.98114175225911.07601396054560
0.1288.39576266684321.21919262960597
0.1388.84536193713361.37916318498462
0.1489.33172940727751.53509432307454
0.1589.84901962841821.65800235172760
0.1690.38342272780541.71875427251548
0.1790.91507012427861.70014606831312
0.1891.42236727606131.60439845350919
0.1991.88730540783851.45326548650361
0.292.29962652453141.27960110123792
0.2192.6583416293971.11791302637006
0.2292.97044551345610.993587220888382
0.2393.24785343999560.918700326210319
0.2493.50403755336470.892378860729232
0.2593.75153505549260.906176502930741
0.2694.00079449910680.951039962776896
0.2794.26015600192471.02152355068812
0.2894.53639863484811.11523196340699
0.2994.83527759014121.2309079481852
0.395.1616995898851.36590937729471
0.3195.51948399321591.51515737160457
0.3295.91089781186971.66995971480368
0.3396.33626489907361.82138089051737
0.3496.79391971071171.96006992093326
0.3597.28063504629282.08108093956999
0.3697.79246206183792.18337653950202
0.3798.3257533698562.27164794940035
0.3898.87805942672032.35372969209128
0.3999.44862423246872.43838038564512
0.4100.0383427812642.53273122133107
0.41100.6492254571162.63965089220881
0.42101.2835746803592.75715621674067
0.43101.9431619885992.8801293624299
0.44102.6286799912573.00138960522728
0.45103.3396523409973.11520956774738
0.46104.0748593186323.21944141389370
0.47104.8332214911133.31664968212193
0.48105.6150063184933.41535132985848
0.49106.4231865052863.53063693192786
0.5107.2647731261143.68298774800742
0.51108.1519585055643.89829313780575
0.52109.1029280931464.20503461962584
0.53110.1422368079154.63125941596134
0.54111.3006892226965.20280461837398
0.55112.6147005207125.93957343781663
0.56114.1251285078896.85482367152593
0.57115.8755502665757.95308681847344
0.58117.9099312237769.22769561660564
0.59120.26964691381510.6589097123248
0.6122.98992100735312.2101866971976
0.61126.09595899455413.8279843689247
0.62129.59934410878715.4453559294665
0.63133.49550913844616.9858569864123
0.64137.76315429969518.3764115846935
0.65142.36622654724019.5584132611326
0.66147.25849876564920.4988996069318
0.67152.39003452208521.1990302729051
0.68157.71416908217521.6898358392154
0.69163.19336662650122.0257147850466
0.7168.80257883303122.2674326983887
0.71174.52945838598122.4672597014755
0.72180.37170687441622.6591347623234
0.73186.33263289083922.8539016480879
0.74192.41640953192523.0425723746791
0.75198.62443087625023.2042325984037
0.76204.95358990200523.3155933453474
0.77211.39640818647723.3593929322981
0.78217.94210656326623.3292493937620
0.79224.57738463925423.2227390907803
0.8231.28612714267823.0328118104841
0.81238.04817170827822.7433483382697
0.82244.83792225428022.3323044051725
0.83251.62358965461821.7819051346882
0.84258.36785884025721.0832059796737
0.85265.03191545934620.2383188429102
0.86271.58635635843219.2739983706445
0.87278.03070399693618.2803250662682
0.88284.41390279997917.4282128127414
0.89290.83442337146916.9030605211357
0.9297.39586881716416.7142848327861
0.91304.12107034334216.5292986421566
0.92310.88171591524615.8044909360517
0.93317.43560606631514.2252601989000
0.94323.60757651222512.1268485409582
0.95329.48484532090510.4300091307526
0.96335.3728765203849.66678540579208
0.97341.4444973488268.96107475992815
0.98347.4105755349327.26315830883075
0.99352.4081132096774.50658653380681

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 80.8029195396917 & 1.69262457003616 \tabularnewline
0.02 & 82.4214254565753 & 2.14930211483501 \tabularnewline
0.03 & 83.9144507513367 & 1.48260001067659 \tabularnewline
0.04 & 84.8916186557412 & 0.981417862943644 \tabularnewline
0.05 & 85.519387089947 & 0.87021412391539 \tabularnewline
0.06 & 86.0054307776565 & 0.874934489940607 \tabularnewline
0.07 & 86.4377882886374 & 0.86793950157332 \tabularnewline
0.08 & 86.8382460512409 & 0.860576650938399 \tabularnewline
0.09 & 87.2180190423465 & 0.88801020006145 \tabularnewline
0.1 & 87.593184026113 & 0.96213941523591 \tabularnewline
0.11 & 87.9811417522591 & 1.07601396054560 \tabularnewline
0.12 & 88.3957626668432 & 1.21919262960597 \tabularnewline
0.13 & 88.8453619371336 & 1.37916318498462 \tabularnewline
0.14 & 89.3317294072775 & 1.53509432307454 \tabularnewline
0.15 & 89.8490196284182 & 1.65800235172760 \tabularnewline
0.16 & 90.3834227278054 & 1.71875427251548 \tabularnewline
0.17 & 90.9150701242786 & 1.70014606831312 \tabularnewline
0.18 & 91.4223672760613 & 1.60439845350919 \tabularnewline
0.19 & 91.8873054078385 & 1.45326548650361 \tabularnewline
0.2 & 92.2996265245314 & 1.27960110123792 \tabularnewline
0.21 & 92.658341629397 & 1.11791302637006 \tabularnewline
0.22 & 92.9704455134561 & 0.993587220888382 \tabularnewline
0.23 & 93.2478534399956 & 0.918700326210319 \tabularnewline
0.24 & 93.5040375533647 & 0.892378860729232 \tabularnewline
0.25 & 93.7515350554926 & 0.906176502930741 \tabularnewline
0.26 & 94.0007944991068 & 0.951039962776896 \tabularnewline
0.27 & 94.2601560019247 & 1.02152355068812 \tabularnewline
0.28 & 94.5363986348481 & 1.11523196340699 \tabularnewline
0.29 & 94.8352775901412 & 1.2309079481852 \tabularnewline
0.3 & 95.161699589885 & 1.36590937729471 \tabularnewline
0.31 & 95.5194839932159 & 1.51515737160457 \tabularnewline
0.32 & 95.9108978118697 & 1.66995971480368 \tabularnewline
0.33 & 96.3362648990736 & 1.82138089051737 \tabularnewline
0.34 & 96.7939197107117 & 1.96006992093326 \tabularnewline
0.35 & 97.2806350462928 & 2.08108093956999 \tabularnewline
0.36 & 97.7924620618379 & 2.18337653950202 \tabularnewline
0.37 & 98.325753369856 & 2.27164794940035 \tabularnewline
0.38 & 98.8780594267203 & 2.35372969209128 \tabularnewline
0.39 & 99.4486242324687 & 2.43838038564512 \tabularnewline
0.4 & 100.038342781264 & 2.53273122133107 \tabularnewline
0.41 & 100.649225457116 & 2.63965089220881 \tabularnewline
0.42 & 101.283574680359 & 2.75715621674067 \tabularnewline
0.43 & 101.943161988599 & 2.8801293624299 \tabularnewline
0.44 & 102.628679991257 & 3.00138960522728 \tabularnewline
0.45 & 103.339652340997 & 3.11520956774738 \tabularnewline
0.46 & 104.074859318632 & 3.21944141389370 \tabularnewline
0.47 & 104.833221491113 & 3.31664968212193 \tabularnewline
0.48 & 105.615006318493 & 3.41535132985848 \tabularnewline
0.49 & 106.423186505286 & 3.53063693192786 \tabularnewline
0.5 & 107.264773126114 & 3.68298774800742 \tabularnewline
0.51 & 108.151958505564 & 3.89829313780575 \tabularnewline
0.52 & 109.102928093146 & 4.20503461962584 \tabularnewline
0.53 & 110.142236807915 & 4.63125941596134 \tabularnewline
0.54 & 111.300689222696 & 5.20280461837398 \tabularnewline
0.55 & 112.614700520712 & 5.93957343781663 \tabularnewline
0.56 & 114.125128507889 & 6.85482367152593 \tabularnewline
0.57 & 115.875550266575 & 7.95308681847344 \tabularnewline
0.58 & 117.909931223776 & 9.22769561660564 \tabularnewline
0.59 & 120.269646913815 & 10.6589097123248 \tabularnewline
0.6 & 122.989921007353 & 12.2101866971976 \tabularnewline
0.61 & 126.095958994554 & 13.8279843689247 \tabularnewline
0.62 & 129.599344108787 & 15.4453559294665 \tabularnewline
0.63 & 133.495509138446 & 16.9858569864123 \tabularnewline
0.64 & 137.763154299695 & 18.3764115846935 \tabularnewline
0.65 & 142.366226547240 & 19.5584132611326 \tabularnewline
0.66 & 147.258498765649 & 20.4988996069318 \tabularnewline
0.67 & 152.390034522085 & 21.1990302729051 \tabularnewline
0.68 & 157.714169082175 & 21.6898358392154 \tabularnewline
0.69 & 163.193366626501 & 22.0257147850466 \tabularnewline
0.7 & 168.802578833031 & 22.2674326983887 \tabularnewline
0.71 & 174.529458385981 & 22.4672597014755 \tabularnewline
0.72 & 180.371706874416 & 22.6591347623234 \tabularnewline
0.73 & 186.332632890839 & 22.8539016480879 \tabularnewline
0.74 & 192.416409531925 & 23.0425723746791 \tabularnewline
0.75 & 198.624430876250 & 23.2042325984037 \tabularnewline
0.76 & 204.953589902005 & 23.3155933453474 \tabularnewline
0.77 & 211.396408186477 & 23.3593929322981 \tabularnewline
0.78 & 217.942106563266 & 23.3292493937620 \tabularnewline
0.79 & 224.577384639254 & 23.2227390907803 \tabularnewline
0.8 & 231.286127142678 & 23.0328118104841 \tabularnewline
0.81 & 238.048171708278 & 22.7433483382697 \tabularnewline
0.82 & 244.837922254280 & 22.3323044051725 \tabularnewline
0.83 & 251.623589654618 & 21.7819051346882 \tabularnewline
0.84 & 258.367858840257 & 21.0832059796737 \tabularnewline
0.85 & 265.031915459346 & 20.2383188429102 \tabularnewline
0.86 & 271.586356358432 & 19.2739983706445 \tabularnewline
0.87 & 278.030703996936 & 18.2803250662682 \tabularnewline
0.88 & 284.413902799979 & 17.4282128127414 \tabularnewline
0.89 & 290.834423371469 & 16.9030605211357 \tabularnewline
0.9 & 297.395868817164 & 16.7142848327861 \tabularnewline
0.91 & 304.121070343342 & 16.5292986421566 \tabularnewline
0.92 & 310.881715915246 & 15.8044909360517 \tabularnewline
0.93 & 317.435606066315 & 14.2252601989000 \tabularnewline
0.94 & 323.607576512225 & 12.1268485409582 \tabularnewline
0.95 & 329.484845320905 & 10.4300091307526 \tabularnewline
0.96 & 335.372876520384 & 9.66678540579208 \tabularnewline
0.97 & 341.444497348826 & 8.96107475992815 \tabularnewline
0.98 & 347.410575534932 & 7.26315830883075 \tabularnewline
0.99 & 352.408113209677 & 4.50658653380681 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78238&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]80.8029195396917[/C][C]1.69262457003616[/C][/ROW]
[ROW][C]0.02[/C][C]82.4214254565753[/C][C]2.14930211483501[/C][/ROW]
[ROW][C]0.03[/C][C]83.9144507513367[/C][C]1.48260001067659[/C][/ROW]
[ROW][C]0.04[/C][C]84.8916186557412[/C][C]0.981417862943644[/C][/ROW]
[ROW][C]0.05[/C][C]85.519387089947[/C][C]0.87021412391539[/C][/ROW]
[ROW][C]0.06[/C][C]86.0054307776565[/C][C]0.874934489940607[/C][/ROW]
[ROW][C]0.07[/C][C]86.4377882886374[/C][C]0.86793950157332[/C][/ROW]
[ROW][C]0.08[/C][C]86.8382460512409[/C][C]0.860576650938399[/C][/ROW]
[ROW][C]0.09[/C][C]87.2180190423465[/C][C]0.88801020006145[/C][/ROW]
[ROW][C]0.1[/C][C]87.593184026113[/C][C]0.96213941523591[/C][/ROW]
[ROW][C]0.11[/C][C]87.9811417522591[/C][C]1.07601396054560[/C][/ROW]
[ROW][C]0.12[/C][C]88.3957626668432[/C][C]1.21919262960597[/C][/ROW]
[ROW][C]0.13[/C][C]88.8453619371336[/C][C]1.37916318498462[/C][/ROW]
[ROW][C]0.14[/C][C]89.3317294072775[/C][C]1.53509432307454[/C][/ROW]
[ROW][C]0.15[/C][C]89.8490196284182[/C][C]1.65800235172760[/C][/ROW]
[ROW][C]0.16[/C][C]90.3834227278054[/C][C]1.71875427251548[/C][/ROW]
[ROW][C]0.17[/C][C]90.9150701242786[/C][C]1.70014606831312[/C][/ROW]
[ROW][C]0.18[/C][C]91.4223672760613[/C][C]1.60439845350919[/C][/ROW]
[ROW][C]0.19[/C][C]91.8873054078385[/C][C]1.45326548650361[/C][/ROW]
[ROW][C]0.2[/C][C]92.2996265245314[/C][C]1.27960110123792[/C][/ROW]
[ROW][C]0.21[/C][C]92.658341629397[/C][C]1.11791302637006[/C][/ROW]
[ROW][C]0.22[/C][C]92.9704455134561[/C][C]0.993587220888382[/C][/ROW]
[ROW][C]0.23[/C][C]93.2478534399956[/C][C]0.918700326210319[/C][/ROW]
[ROW][C]0.24[/C][C]93.5040375533647[/C][C]0.892378860729232[/C][/ROW]
[ROW][C]0.25[/C][C]93.7515350554926[/C][C]0.906176502930741[/C][/ROW]
[ROW][C]0.26[/C][C]94.0007944991068[/C][C]0.951039962776896[/C][/ROW]
[ROW][C]0.27[/C][C]94.2601560019247[/C][C]1.02152355068812[/C][/ROW]
[ROW][C]0.28[/C][C]94.5363986348481[/C][C]1.11523196340699[/C][/ROW]
[ROW][C]0.29[/C][C]94.8352775901412[/C][C]1.2309079481852[/C][/ROW]
[ROW][C]0.3[/C][C]95.161699589885[/C][C]1.36590937729471[/C][/ROW]
[ROW][C]0.31[/C][C]95.5194839932159[/C][C]1.51515737160457[/C][/ROW]
[ROW][C]0.32[/C][C]95.9108978118697[/C][C]1.66995971480368[/C][/ROW]
[ROW][C]0.33[/C][C]96.3362648990736[/C][C]1.82138089051737[/C][/ROW]
[ROW][C]0.34[/C][C]96.7939197107117[/C][C]1.96006992093326[/C][/ROW]
[ROW][C]0.35[/C][C]97.2806350462928[/C][C]2.08108093956999[/C][/ROW]
[ROW][C]0.36[/C][C]97.7924620618379[/C][C]2.18337653950202[/C][/ROW]
[ROW][C]0.37[/C][C]98.325753369856[/C][C]2.27164794940035[/C][/ROW]
[ROW][C]0.38[/C][C]98.8780594267203[/C][C]2.35372969209128[/C][/ROW]
[ROW][C]0.39[/C][C]99.4486242324687[/C][C]2.43838038564512[/C][/ROW]
[ROW][C]0.4[/C][C]100.038342781264[/C][C]2.53273122133107[/C][/ROW]
[ROW][C]0.41[/C][C]100.649225457116[/C][C]2.63965089220881[/C][/ROW]
[ROW][C]0.42[/C][C]101.283574680359[/C][C]2.75715621674067[/C][/ROW]
[ROW][C]0.43[/C][C]101.943161988599[/C][C]2.8801293624299[/C][/ROW]
[ROW][C]0.44[/C][C]102.628679991257[/C][C]3.00138960522728[/C][/ROW]
[ROW][C]0.45[/C][C]103.339652340997[/C][C]3.11520956774738[/C][/ROW]
[ROW][C]0.46[/C][C]104.074859318632[/C][C]3.21944141389370[/C][/ROW]
[ROW][C]0.47[/C][C]104.833221491113[/C][C]3.31664968212193[/C][/ROW]
[ROW][C]0.48[/C][C]105.615006318493[/C][C]3.41535132985848[/C][/ROW]
[ROW][C]0.49[/C][C]106.423186505286[/C][C]3.53063693192786[/C][/ROW]
[ROW][C]0.5[/C][C]107.264773126114[/C][C]3.68298774800742[/C][/ROW]
[ROW][C]0.51[/C][C]108.151958505564[/C][C]3.89829313780575[/C][/ROW]
[ROW][C]0.52[/C][C]109.102928093146[/C][C]4.20503461962584[/C][/ROW]
[ROW][C]0.53[/C][C]110.142236807915[/C][C]4.63125941596134[/C][/ROW]
[ROW][C]0.54[/C][C]111.300689222696[/C][C]5.20280461837398[/C][/ROW]
[ROW][C]0.55[/C][C]112.614700520712[/C][C]5.93957343781663[/C][/ROW]
[ROW][C]0.56[/C][C]114.125128507889[/C][C]6.85482367152593[/C][/ROW]
[ROW][C]0.57[/C][C]115.875550266575[/C][C]7.95308681847344[/C][/ROW]
[ROW][C]0.58[/C][C]117.909931223776[/C][C]9.22769561660564[/C][/ROW]
[ROW][C]0.59[/C][C]120.269646913815[/C][C]10.6589097123248[/C][/ROW]
[ROW][C]0.6[/C][C]122.989921007353[/C][C]12.2101866971976[/C][/ROW]
[ROW][C]0.61[/C][C]126.095958994554[/C][C]13.8279843689247[/C][/ROW]
[ROW][C]0.62[/C][C]129.599344108787[/C][C]15.4453559294665[/C][/ROW]
[ROW][C]0.63[/C][C]133.495509138446[/C][C]16.9858569864123[/C][/ROW]
[ROW][C]0.64[/C][C]137.763154299695[/C][C]18.3764115846935[/C][/ROW]
[ROW][C]0.65[/C][C]142.366226547240[/C][C]19.5584132611326[/C][/ROW]
[ROW][C]0.66[/C][C]147.258498765649[/C][C]20.4988996069318[/C][/ROW]
[ROW][C]0.67[/C][C]152.390034522085[/C][C]21.1990302729051[/C][/ROW]
[ROW][C]0.68[/C][C]157.714169082175[/C][C]21.6898358392154[/C][/ROW]
[ROW][C]0.69[/C][C]163.193366626501[/C][C]22.0257147850466[/C][/ROW]
[ROW][C]0.7[/C][C]168.802578833031[/C][C]22.2674326983887[/C][/ROW]
[ROW][C]0.71[/C][C]174.529458385981[/C][C]22.4672597014755[/C][/ROW]
[ROW][C]0.72[/C][C]180.371706874416[/C][C]22.6591347623234[/C][/ROW]
[ROW][C]0.73[/C][C]186.332632890839[/C][C]22.8539016480879[/C][/ROW]
[ROW][C]0.74[/C][C]192.416409531925[/C][C]23.0425723746791[/C][/ROW]
[ROW][C]0.75[/C][C]198.624430876250[/C][C]23.2042325984037[/C][/ROW]
[ROW][C]0.76[/C][C]204.953589902005[/C][C]23.3155933453474[/C][/ROW]
[ROW][C]0.77[/C][C]211.396408186477[/C][C]23.3593929322981[/C][/ROW]
[ROW][C]0.78[/C][C]217.942106563266[/C][C]23.3292493937620[/C][/ROW]
[ROW][C]0.79[/C][C]224.577384639254[/C][C]23.2227390907803[/C][/ROW]
[ROW][C]0.8[/C][C]231.286127142678[/C][C]23.0328118104841[/C][/ROW]
[ROW][C]0.81[/C][C]238.048171708278[/C][C]22.7433483382697[/C][/ROW]
[ROW][C]0.82[/C][C]244.837922254280[/C][C]22.3323044051725[/C][/ROW]
[ROW][C]0.83[/C][C]251.623589654618[/C][C]21.7819051346882[/C][/ROW]
[ROW][C]0.84[/C][C]258.367858840257[/C][C]21.0832059796737[/C][/ROW]
[ROW][C]0.85[/C][C]265.031915459346[/C][C]20.2383188429102[/C][/ROW]
[ROW][C]0.86[/C][C]271.586356358432[/C][C]19.2739983706445[/C][/ROW]
[ROW][C]0.87[/C][C]278.030703996936[/C][C]18.2803250662682[/C][/ROW]
[ROW][C]0.88[/C][C]284.413902799979[/C][C]17.4282128127414[/C][/ROW]
[ROW][C]0.89[/C][C]290.834423371469[/C][C]16.9030605211357[/C][/ROW]
[ROW][C]0.9[/C][C]297.395868817164[/C][C]16.7142848327861[/C][/ROW]
[ROW][C]0.91[/C][C]304.121070343342[/C][C]16.5292986421566[/C][/ROW]
[ROW][C]0.92[/C][C]310.881715915246[/C][C]15.8044909360517[/C][/ROW]
[ROW][C]0.93[/C][C]317.435606066315[/C][C]14.2252601989000[/C][/ROW]
[ROW][C]0.94[/C][C]323.607576512225[/C][C]12.1268485409582[/C][/ROW]
[ROW][C]0.95[/C][C]329.484845320905[/C][C]10.4300091307526[/C][/ROW]
[ROW][C]0.96[/C][C]335.372876520384[/C][C]9.66678540579208[/C][/ROW]
[ROW][C]0.97[/C][C]341.444497348826[/C][C]8.96107475992815[/C][/ROW]
[ROW][C]0.98[/C][C]347.410575534932[/C][C]7.26315830883075[/C][/ROW]
[ROW][C]0.99[/C][C]352.408113209677[/C][C]4.50658653380681[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78238&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78238&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
0.0180.80291953969171.69262457003616
0.0282.42142545657532.14930211483501
0.0383.91445075133671.48260001067659
0.0484.89161865574120.981417862943644
0.0585.5193870899470.87021412391539
0.0686.00543077765650.874934489940607
0.0786.43778828863740.86793950157332
0.0886.83824605124090.860576650938399
0.0987.21801904234650.88801020006145
0.187.5931840261130.96213941523591
0.1187.98114175225911.07601396054560
0.1288.39576266684321.21919262960597
0.1388.84536193713361.37916318498462
0.1489.33172940727751.53509432307454
0.1589.84901962841821.65800235172760
0.1690.38342272780541.71875427251548
0.1790.91507012427861.70014606831312
0.1891.42236727606131.60439845350919
0.1991.88730540783851.45326548650361
0.292.29962652453141.27960110123792
0.2192.6583416293971.11791302637006
0.2292.97044551345610.993587220888382
0.2393.24785343999560.918700326210319
0.2493.50403755336470.892378860729232
0.2593.75153505549260.906176502930741
0.2694.00079449910680.951039962776896
0.2794.26015600192471.02152355068812
0.2894.53639863484811.11523196340699
0.2994.83527759014121.2309079481852
0.395.1616995898851.36590937729471
0.3195.51948399321591.51515737160457
0.3295.91089781186971.66995971480368
0.3396.33626489907361.82138089051737
0.3496.79391971071171.96006992093326
0.3597.28063504629282.08108093956999
0.3697.79246206183792.18337653950202
0.3798.3257533698562.27164794940035
0.3898.87805942672032.35372969209128
0.3999.44862423246872.43838038564512
0.4100.0383427812642.53273122133107
0.41100.6492254571162.63965089220881
0.42101.2835746803592.75715621674067
0.43101.9431619885992.8801293624299
0.44102.6286799912573.00138960522728
0.45103.3396523409973.11520956774738
0.46104.0748593186323.21944141389370
0.47104.8332214911133.31664968212193
0.48105.6150063184933.41535132985848
0.49106.4231865052863.53063693192786
0.5107.2647731261143.68298774800742
0.51108.1519585055643.89829313780575
0.52109.1029280931464.20503461962584
0.53110.1422368079154.63125941596134
0.54111.3006892226965.20280461837398
0.55112.6147005207125.93957343781663
0.56114.1251285078896.85482367152593
0.57115.8755502665757.95308681847344
0.58117.9099312237769.22769561660564
0.59120.26964691381510.6589097123248
0.6122.98992100735312.2101866971976
0.61126.09595899455413.8279843689247
0.62129.59934410878715.4453559294665
0.63133.49550913844616.9858569864123
0.64137.76315429969518.3764115846935
0.65142.36622654724019.5584132611326
0.66147.25849876564920.4988996069318
0.67152.39003452208521.1990302729051
0.68157.71416908217521.6898358392154
0.69163.19336662650122.0257147850466
0.7168.80257883303122.2674326983887
0.71174.52945838598122.4672597014755
0.72180.37170687441622.6591347623234
0.73186.33263289083922.8539016480879
0.74192.41640953192523.0425723746791
0.75198.62443087625023.2042325984037
0.76204.95358990200523.3155933453474
0.77211.39640818647723.3593929322981
0.78217.94210656326623.3292493937620
0.79224.57738463925423.2227390907803
0.8231.28612714267823.0328118104841
0.81238.04817170827822.7433483382697
0.82244.83792225428022.3323044051725
0.83251.62358965461821.7819051346882
0.84258.36785884025721.0832059796737
0.85265.03191545934620.2383188429102
0.86271.58635635843219.2739983706445
0.87278.03070399693618.2803250662682
0.88284.41390279997917.4282128127414
0.89290.83442337146916.9030605211357
0.9297.39586881716416.7142848327861
0.91304.12107034334216.5292986421566
0.92310.88171591524615.8044909360517
0.93317.43560606631514.2252601989000
0.94323.60757651222512.1268485409582
0.95329.48484532090510.4300091307526
0.96335.3728765203849.66678540579208
0.97341.4444973488268.96107475992815
0.98347.4105755349327.26315830883075
0.99352.4081132096774.50658653380681


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')