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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 computationWed, 05 Oct 2016 13:42:58 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Oct/05/t14756717641e9jrpds1t6p6rm.htm/, Retrieved Sun, 05 May 2024 18:13:09 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sun, 05 May 2024 18:13:09 +0200
QR Codes:

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

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
182414
182510
186424
187827
188222
189422
191395
191568
191987
192684
195978
198480
200140
201920
203089
203583
205491
206996
207221
210027
210176
210506
211451
211524
211701
214419
215177
215191
216222
217811
219576
220189
221270
224325
224790
225436
225939
227755
228987
229127
229570
229697
229827
230079
230703
233164
235572
235980
236168
236675
237201
237736
239567
239973
241292
242084
245413
245472
247826
248511

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

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

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01182693.971087493890.781897623872
0.02183294.6203446951807.14583050792
0.03184159.129965432381.0428066083
0.04185158.15427412535.63841762226
0.05186166.5068237132432.27580622407
0.06187107.6113572842268.64625502835
0.07187957.8830511192165.93661332077
0.08188729.0039245112156.74688807533
0.09189447.5084970872227.87599377376
0.1190141.3695638182361.88906333504
0.11190834.3606481132552.11628399546
0.12191545.0454714692796.26731854819
0.13192287.2232698333086.27164547678
0.14193070.1640810773404.30686840978
0.15193898.3662135543724.90703386443
0.16194771.2692686374020.17626817701
0.17195683.4234227794265.89440161094
0.18196625.3449816234446.06995065711
0.19197584.9590978964554.04840499595
0.2198549.3113052934592.83182713484
0.21199506.1727321544572.56836712224
0.22200445.2418784144507.60789221649
0.23201358.7947821074412.56563820674
0.24202241.7905680124301.31402122389
0.25203091.5556358344183.32464190354
0.26203907.2275751424064.04542980904
0.27204689.1414852273946.30670082083
0.28205438.3022805573829.89760606271
0.29206156.0270672463714.44659975999
0.3206843.7803800023599.31043595198
0.31207503.1753330493485.82731643697
0.32208136.0826434783376.3544226413
0.33208744.7784481773275.02670038591
0.34209332.0680524973187.04166949933
0.35209901.3408750023117.92935907146
0.36210456.5355725273072.04032927374
0.37211002.0176651213052.47362611328
0.38211542.3902634343060.71730855807
0.39212082.268971473095.70539069187
0.4212626.0540373423154.86798756599
0.41213177.7275909923234.70056196794
0.42213740.6939265613330.68933242668
0.43214317.6694284413438.25745753933
0.44214910.6188541343552.88200995637
0.45215520.728342383670.17689851198
0.46216148.4035257043785.80770398257
0.47216793.2830345733895.29725086022
0.48217454.2620633053994.94324224205
0.49218129.5256595434080.4073808293
0.5218816.5952661074147.36826337409
0.51219512.3936589584192.65851632025
0.52220213.332521824213.24235367558
0.53220915.4240595784206.9258392933
0.54221614.4144551914172.57621861441
0.55222305.9339720234110.08011077363
0.56222985.6571688764020.50039524244
0.57223649.467449653905.34300885892
0.58224293.6225993283767.74879751774
0.59224914.9208809343611.5033470174
0.6225510.8690528413440.80049165688
0.61226079.8527365473260.78777002129
0.62226621.3049719093077.59615861512
0.63227135.8607007332897.87293410043
0.64227625.4748385322729.77271539751
0.65228093.4723020132581.75190554664
0.66228544.4933958892462.2564029695
0.67228984.3008045052379.76698263703
0.68229419.4274736572339.7241943668
0.69229856.6682146332343.94597880173
0.7230302.4494334492388.96420224924
0.71230762.1455616072465.6452712055
0.72231239.4397927142560.33271278793
0.73231735.84197932657.00851202446
0.74232250.4706157182739.23904368689
0.75232780.1749483532792.76989584245
0.76233320.0192909512807.94719707989
0.77233864.0830641732780.29458389443
0.78234406.4612706152712.14327449758
0.79234942.2985785742612.05869457361
0.8235468.6722571752493.53852455485
0.81235985.1648645982372.98234952747
0.82236494.0357569262266.45614374755
0.83236999.9962538952186.96456109217
0.84237509.6886645282141.52227929037
0.85238031.0288688962131.10694660914
0.86238572.5644683162151.90287676581
0.87239142.9157957222198.154564342
0.88239750.2354303532264.37810598488
0.89240401.5211060222345.121209103
0.9241101.649220962431.3026619884
0.91241852.2158983312507.55401211599
0.92242650.5799587572550.91397302634
0.93243489.5881176742537.40798846323
0.94244357.9519749682453.14226487279
0.95245240.1177791852301.48332638847
0.96246113.5285340562091.15077587239
0.97246942.0138180911807.45533024345
0.98247668.1201264241418.84902702273
0.99248214.473272124972.276522194495

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 182693.971087493 & 890.781897623872 \tabularnewline
0.02 & 183294.620344695 & 1807.14583050792 \tabularnewline
0.03 & 184159.12996543 & 2381.0428066083 \tabularnewline
0.04 & 185158.1542741 & 2535.63841762226 \tabularnewline
0.05 & 186166.506823713 & 2432.27580622407 \tabularnewline
0.06 & 187107.611357284 & 2268.64625502835 \tabularnewline
0.07 & 187957.883051119 & 2165.93661332077 \tabularnewline
0.08 & 188729.003924511 & 2156.74688807533 \tabularnewline
0.09 & 189447.508497087 & 2227.87599377376 \tabularnewline
0.1 & 190141.369563818 & 2361.88906333504 \tabularnewline
0.11 & 190834.360648113 & 2552.11628399546 \tabularnewline
0.12 & 191545.045471469 & 2796.26731854819 \tabularnewline
0.13 & 192287.223269833 & 3086.27164547678 \tabularnewline
0.14 & 193070.164081077 & 3404.30686840978 \tabularnewline
0.15 & 193898.366213554 & 3724.90703386443 \tabularnewline
0.16 & 194771.269268637 & 4020.17626817701 \tabularnewline
0.17 & 195683.423422779 & 4265.89440161094 \tabularnewline
0.18 & 196625.344981623 & 4446.06995065711 \tabularnewline
0.19 & 197584.959097896 & 4554.04840499595 \tabularnewline
0.2 & 198549.311305293 & 4592.83182713484 \tabularnewline
0.21 & 199506.172732154 & 4572.56836712224 \tabularnewline
0.22 & 200445.241878414 & 4507.60789221649 \tabularnewline
0.23 & 201358.794782107 & 4412.56563820674 \tabularnewline
0.24 & 202241.790568012 & 4301.31402122389 \tabularnewline
0.25 & 203091.555635834 & 4183.32464190354 \tabularnewline
0.26 & 203907.227575142 & 4064.04542980904 \tabularnewline
0.27 & 204689.141485227 & 3946.30670082083 \tabularnewline
0.28 & 205438.302280557 & 3829.89760606271 \tabularnewline
0.29 & 206156.027067246 & 3714.44659975999 \tabularnewline
0.3 & 206843.780380002 & 3599.31043595198 \tabularnewline
0.31 & 207503.175333049 & 3485.82731643697 \tabularnewline
0.32 & 208136.082643478 & 3376.3544226413 \tabularnewline
0.33 & 208744.778448177 & 3275.02670038591 \tabularnewline
0.34 & 209332.068052497 & 3187.04166949933 \tabularnewline
0.35 & 209901.340875002 & 3117.92935907146 \tabularnewline
0.36 & 210456.535572527 & 3072.04032927374 \tabularnewline
0.37 & 211002.017665121 & 3052.47362611328 \tabularnewline
0.38 & 211542.390263434 & 3060.71730855807 \tabularnewline
0.39 & 212082.26897147 & 3095.70539069187 \tabularnewline
0.4 & 212626.054037342 & 3154.86798756599 \tabularnewline
0.41 & 213177.727590992 & 3234.70056196794 \tabularnewline
0.42 & 213740.693926561 & 3330.68933242668 \tabularnewline
0.43 & 214317.669428441 & 3438.25745753933 \tabularnewline
0.44 & 214910.618854134 & 3552.88200995637 \tabularnewline
0.45 & 215520.72834238 & 3670.17689851198 \tabularnewline
0.46 & 216148.403525704 & 3785.80770398257 \tabularnewline
0.47 & 216793.283034573 & 3895.29725086022 \tabularnewline
0.48 & 217454.262063305 & 3994.94324224205 \tabularnewline
0.49 & 218129.525659543 & 4080.4073808293 \tabularnewline
0.5 & 218816.595266107 & 4147.36826337409 \tabularnewline
0.51 & 219512.393658958 & 4192.65851632025 \tabularnewline
0.52 & 220213.33252182 & 4213.24235367558 \tabularnewline
0.53 & 220915.424059578 & 4206.9258392933 \tabularnewline
0.54 & 221614.414455191 & 4172.57621861441 \tabularnewline
0.55 & 222305.933972023 & 4110.08011077363 \tabularnewline
0.56 & 222985.657168876 & 4020.50039524244 \tabularnewline
0.57 & 223649.46744965 & 3905.34300885892 \tabularnewline
0.58 & 224293.622599328 & 3767.74879751774 \tabularnewline
0.59 & 224914.920880934 & 3611.5033470174 \tabularnewline
0.6 & 225510.869052841 & 3440.80049165688 \tabularnewline
0.61 & 226079.852736547 & 3260.78777002129 \tabularnewline
0.62 & 226621.304971909 & 3077.59615861512 \tabularnewline
0.63 & 227135.860700733 & 2897.87293410043 \tabularnewline
0.64 & 227625.474838532 & 2729.77271539751 \tabularnewline
0.65 & 228093.472302013 & 2581.75190554664 \tabularnewline
0.66 & 228544.493395889 & 2462.2564029695 \tabularnewline
0.67 & 228984.300804505 & 2379.76698263703 \tabularnewline
0.68 & 229419.427473657 & 2339.7241943668 \tabularnewline
0.69 & 229856.668214633 & 2343.94597880173 \tabularnewline
0.7 & 230302.449433449 & 2388.96420224924 \tabularnewline
0.71 & 230762.145561607 & 2465.6452712055 \tabularnewline
0.72 & 231239.439792714 & 2560.33271278793 \tabularnewline
0.73 & 231735.8419793 & 2657.00851202446 \tabularnewline
0.74 & 232250.470615718 & 2739.23904368689 \tabularnewline
0.75 & 232780.174948353 & 2792.76989584245 \tabularnewline
0.76 & 233320.019290951 & 2807.94719707989 \tabularnewline
0.77 & 233864.083064173 & 2780.29458389443 \tabularnewline
0.78 & 234406.461270615 & 2712.14327449758 \tabularnewline
0.79 & 234942.298578574 & 2612.05869457361 \tabularnewline
0.8 & 235468.672257175 & 2493.53852455485 \tabularnewline
0.81 & 235985.164864598 & 2372.98234952747 \tabularnewline
0.82 & 236494.035756926 & 2266.45614374755 \tabularnewline
0.83 & 236999.996253895 & 2186.96456109217 \tabularnewline
0.84 & 237509.688664528 & 2141.52227929037 \tabularnewline
0.85 & 238031.028868896 & 2131.10694660914 \tabularnewline
0.86 & 238572.564468316 & 2151.90287676581 \tabularnewline
0.87 & 239142.915795722 & 2198.154564342 \tabularnewline
0.88 & 239750.235430353 & 2264.37810598488 \tabularnewline
0.89 & 240401.521106022 & 2345.121209103 \tabularnewline
0.9 & 241101.64922096 & 2431.3026619884 \tabularnewline
0.91 & 241852.215898331 & 2507.55401211599 \tabularnewline
0.92 & 242650.579958757 & 2550.91397302634 \tabularnewline
0.93 & 243489.588117674 & 2537.40798846323 \tabularnewline
0.94 & 244357.951974968 & 2453.14226487279 \tabularnewline
0.95 & 245240.117779185 & 2301.48332638847 \tabularnewline
0.96 & 246113.528534056 & 2091.15077587239 \tabularnewline
0.97 & 246942.013818091 & 1807.45533024345 \tabularnewline
0.98 & 247668.120126424 & 1418.84902702273 \tabularnewline
0.99 & 248214.473272124 & 972.276522194495 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]182693.971087493[/C][C]890.781897623872[/C][/ROW]
[ROW][C]0.02[/C][C]183294.620344695[/C][C]1807.14583050792[/C][/ROW]
[ROW][C]0.03[/C][C]184159.12996543[/C][C]2381.0428066083[/C][/ROW]
[ROW][C]0.04[/C][C]185158.1542741[/C][C]2535.63841762226[/C][/ROW]
[ROW][C]0.05[/C][C]186166.506823713[/C][C]2432.27580622407[/C][/ROW]
[ROW][C]0.06[/C][C]187107.611357284[/C][C]2268.64625502835[/C][/ROW]
[ROW][C]0.07[/C][C]187957.883051119[/C][C]2165.93661332077[/C][/ROW]
[ROW][C]0.08[/C][C]188729.003924511[/C][C]2156.74688807533[/C][/ROW]
[ROW][C]0.09[/C][C]189447.508497087[/C][C]2227.87599377376[/C][/ROW]
[ROW][C]0.1[/C][C]190141.369563818[/C][C]2361.88906333504[/C][/ROW]
[ROW][C]0.11[/C][C]190834.360648113[/C][C]2552.11628399546[/C][/ROW]
[ROW][C]0.12[/C][C]191545.045471469[/C][C]2796.26731854819[/C][/ROW]
[ROW][C]0.13[/C][C]192287.223269833[/C][C]3086.27164547678[/C][/ROW]
[ROW][C]0.14[/C][C]193070.164081077[/C][C]3404.30686840978[/C][/ROW]
[ROW][C]0.15[/C][C]193898.366213554[/C][C]3724.90703386443[/C][/ROW]
[ROW][C]0.16[/C][C]194771.269268637[/C][C]4020.17626817701[/C][/ROW]
[ROW][C]0.17[/C][C]195683.423422779[/C][C]4265.89440161094[/C][/ROW]
[ROW][C]0.18[/C][C]196625.344981623[/C][C]4446.06995065711[/C][/ROW]
[ROW][C]0.19[/C][C]197584.959097896[/C][C]4554.04840499595[/C][/ROW]
[ROW][C]0.2[/C][C]198549.311305293[/C][C]4592.83182713484[/C][/ROW]
[ROW][C]0.21[/C][C]199506.172732154[/C][C]4572.56836712224[/C][/ROW]
[ROW][C]0.22[/C][C]200445.241878414[/C][C]4507.60789221649[/C][/ROW]
[ROW][C]0.23[/C][C]201358.794782107[/C][C]4412.56563820674[/C][/ROW]
[ROW][C]0.24[/C][C]202241.790568012[/C][C]4301.31402122389[/C][/ROW]
[ROW][C]0.25[/C][C]203091.555635834[/C][C]4183.32464190354[/C][/ROW]
[ROW][C]0.26[/C][C]203907.227575142[/C][C]4064.04542980904[/C][/ROW]
[ROW][C]0.27[/C][C]204689.141485227[/C][C]3946.30670082083[/C][/ROW]
[ROW][C]0.28[/C][C]205438.302280557[/C][C]3829.89760606271[/C][/ROW]
[ROW][C]0.29[/C][C]206156.027067246[/C][C]3714.44659975999[/C][/ROW]
[ROW][C]0.3[/C][C]206843.780380002[/C][C]3599.31043595198[/C][/ROW]
[ROW][C]0.31[/C][C]207503.175333049[/C][C]3485.82731643697[/C][/ROW]
[ROW][C]0.32[/C][C]208136.082643478[/C][C]3376.3544226413[/C][/ROW]
[ROW][C]0.33[/C][C]208744.778448177[/C][C]3275.02670038591[/C][/ROW]
[ROW][C]0.34[/C][C]209332.068052497[/C][C]3187.04166949933[/C][/ROW]
[ROW][C]0.35[/C][C]209901.340875002[/C][C]3117.92935907146[/C][/ROW]
[ROW][C]0.36[/C][C]210456.535572527[/C][C]3072.04032927374[/C][/ROW]
[ROW][C]0.37[/C][C]211002.017665121[/C][C]3052.47362611328[/C][/ROW]
[ROW][C]0.38[/C][C]211542.390263434[/C][C]3060.71730855807[/C][/ROW]
[ROW][C]0.39[/C][C]212082.26897147[/C][C]3095.70539069187[/C][/ROW]
[ROW][C]0.4[/C][C]212626.054037342[/C][C]3154.86798756599[/C][/ROW]
[ROW][C]0.41[/C][C]213177.727590992[/C][C]3234.70056196794[/C][/ROW]
[ROW][C]0.42[/C][C]213740.693926561[/C][C]3330.68933242668[/C][/ROW]
[ROW][C]0.43[/C][C]214317.669428441[/C][C]3438.25745753933[/C][/ROW]
[ROW][C]0.44[/C][C]214910.618854134[/C][C]3552.88200995637[/C][/ROW]
[ROW][C]0.45[/C][C]215520.72834238[/C][C]3670.17689851198[/C][/ROW]
[ROW][C]0.46[/C][C]216148.403525704[/C][C]3785.80770398257[/C][/ROW]
[ROW][C]0.47[/C][C]216793.283034573[/C][C]3895.29725086022[/C][/ROW]
[ROW][C]0.48[/C][C]217454.262063305[/C][C]3994.94324224205[/C][/ROW]
[ROW][C]0.49[/C][C]218129.525659543[/C][C]4080.4073808293[/C][/ROW]
[ROW][C]0.5[/C][C]218816.595266107[/C][C]4147.36826337409[/C][/ROW]
[ROW][C]0.51[/C][C]219512.393658958[/C][C]4192.65851632025[/C][/ROW]
[ROW][C]0.52[/C][C]220213.33252182[/C][C]4213.24235367558[/C][/ROW]
[ROW][C]0.53[/C][C]220915.424059578[/C][C]4206.9258392933[/C][/ROW]
[ROW][C]0.54[/C][C]221614.414455191[/C][C]4172.57621861441[/C][/ROW]
[ROW][C]0.55[/C][C]222305.933972023[/C][C]4110.08011077363[/C][/ROW]
[ROW][C]0.56[/C][C]222985.657168876[/C][C]4020.50039524244[/C][/ROW]
[ROW][C]0.57[/C][C]223649.46744965[/C][C]3905.34300885892[/C][/ROW]
[ROW][C]0.58[/C][C]224293.622599328[/C][C]3767.74879751774[/C][/ROW]
[ROW][C]0.59[/C][C]224914.920880934[/C][C]3611.5033470174[/C][/ROW]
[ROW][C]0.6[/C][C]225510.869052841[/C][C]3440.80049165688[/C][/ROW]
[ROW][C]0.61[/C][C]226079.852736547[/C][C]3260.78777002129[/C][/ROW]
[ROW][C]0.62[/C][C]226621.304971909[/C][C]3077.59615861512[/C][/ROW]
[ROW][C]0.63[/C][C]227135.860700733[/C][C]2897.87293410043[/C][/ROW]
[ROW][C]0.64[/C][C]227625.474838532[/C][C]2729.77271539751[/C][/ROW]
[ROW][C]0.65[/C][C]228093.472302013[/C][C]2581.75190554664[/C][/ROW]
[ROW][C]0.66[/C][C]228544.493395889[/C][C]2462.2564029695[/C][/ROW]
[ROW][C]0.67[/C][C]228984.300804505[/C][C]2379.76698263703[/C][/ROW]
[ROW][C]0.68[/C][C]229419.427473657[/C][C]2339.7241943668[/C][/ROW]
[ROW][C]0.69[/C][C]229856.668214633[/C][C]2343.94597880173[/C][/ROW]
[ROW][C]0.7[/C][C]230302.449433449[/C][C]2388.96420224924[/C][/ROW]
[ROW][C]0.71[/C][C]230762.145561607[/C][C]2465.6452712055[/C][/ROW]
[ROW][C]0.72[/C][C]231239.439792714[/C][C]2560.33271278793[/C][/ROW]
[ROW][C]0.73[/C][C]231735.8419793[/C][C]2657.00851202446[/C][/ROW]
[ROW][C]0.74[/C][C]232250.470615718[/C][C]2739.23904368689[/C][/ROW]
[ROW][C]0.75[/C][C]232780.174948353[/C][C]2792.76989584245[/C][/ROW]
[ROW][C]0.76[/C][C]233320.019290951[/C][C]2807.94719707989[/C][/ROW]
[ROW][C]0.77[/C][C]233864.083064173[/C][C]2780.29458389443[/C][/ROW]
[ROW][C]0.78[/C][C]234406.461270615[/C][C]2712.14327449758[/C][/ROW]
[ROW][C]0.79[/C][C]234942.298578574[/C][C]2612.05869457361[/C][/ROW]
[ROW][C]0.8[/C][C]235468.672257175[/C][C]2493.53852455485[/C][/ROW]
[ROW][C]0.81[/C][C]235985.164864598[/C][C]2372.98234952747[/C][/ROW]
[ROW][C]0.82[/C][C]236494.035756926[/C][C]2266.45614374755[/C][/ROW]
[ROW][C]0.83[/C][C]236999.996253895[/C][C]2186.96456109217[/C][/ROW]
[ROW][C]0.84[/C][C]237509.688664528[/C][C]2141.52227929037[/C][/ROW]
[ROW][C]0.85[/C][C]238031.028868896[/C][C]2131.10694660914[/C][/ROW]
[ROW][C]0.86[/C][C]238572.564468316[/C][C]2151.90287676581[/C][/ROW]
[ROW][C]0.87[/C][C]239142.915795722[/C][C]2198.154564342[/C][/ROW]
[ROW][C]0.88[/C][C]239750.235430353[/C][C]2264.37810598488[/C][/ROW]
[ROW][C]0.89[/C][C]240401.521106022[/C][C]2345.121209103[/C][/ROW]
[ROW][C]0.9[/C][C]241101.64922096[/C][C]2431.3026619884[/C][/ROW]
[ROW][C]0.91[/C][C]241852.215898331[/C][C]2507.55401211599[/C][/ROW]
[ROW][C]0.92[/C][C]242650.579958757[/C][C]2550.91397302634[/C][/ROW]
[ROW][C]0.93[/C][C]243489.588117674[/C][C]2537.40798846323[/C][/ROW]
[ROW][C]0.94[/C][C]244357.951974968[/C][C]2453.14226487279[/C][/ROW]
[ROW][C]0.95[/C][C]245240.117779185[/C][C]2301.48332638847[/C][/ROW]
[ROW][C]0.96[/C][C]246113.528534056[/C][C]2091.15077587239[/C][/ROW]
[ROW][C]0.97[/C][C]246942.013818091[/C][C]1807.45533024345[/C][/ROW]
[ROW][C]0.98[/C][C]247668.120126424[/C][C]1418.84902702273[/C][/ROW]
[ROW][C]0.99[/C][C]248214.473272124[/C][C]972.276522194495[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=1

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


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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.01182693.971087493890.781897623872
0.02183294.6203446951807.14583050792
0.03184159.129965432381.0428066083
0.04185158.15427412535.63841762226
0.05186166.5068237132432.27580622407
0.06187107.6113572842268.64625502835
0.07187957.8830511192165.93661332077
0.08188729.0039245112156.74688807533
0.09189447.5084970872227.87599377376
0.1190141.3695638182361.88906333504
0.11190834.3606481132552.11628399546
0.12191545.0454714692796.26731854819
0.13192287.2232698333086.27164547678
0.14193070.1640810773404.30686840978
0.15193898.3662135543724.90703386443
0.16194771.2692686374020.17626817701
0.17195683.4234227794265.89440161094
0.18196625.3449816234446.06995065711
0.19197584.9590978964554.04840499595
0.2198549.3113052934592.83182713484
0.21199506.1727321544572.56836712224
0.22200445.2418784144507.60789221649
0.23201358.7947821074412.56563820674
0.24202241.7905680124301.31402122389
0.25203091.5556358344183.32464190354
0.26203907.2275751424064.04542980904
0.27204689.1414852273946.30670082083
0.28205438.3022805573829.89760606271
0.29206156.0270672463714.44659975999
0.3206843.7803800023599.31043595198
0.31207503.1753330493485.82731643697
0.32208136.0826434783376.3544226413
0.33208744.7784481773275.02670038591
0.34209332.0680524973187.04166949933
0.35209901.3408750023117.92935907146
0.36210456.5355725273072.04032927374
0.37211002.0176651213052.47362611328
0.38211542.3902634343060.71730855807
0.39212082.268971473095.70539069187
0.4212626.0540373423154.86798756599
0.41213177.7275909923234.70056196794
0.42213740.6939265613330.68933242668
0.43214317.6694284413438.25745753933
0.44214910.6188541343552.88200995637
0.45215520.728342383670.17689851198
0.46216148.4035257043785.80770398257
0.47216793.2830345733895.29725086022
0.48217454.2620633053994.94324224205
0.49218129.5256595434080.4073808293
0.5218816.5952661074147.36826337409
0.51219512.3936589584192.65851632025
0.52220213.332521824213.24235367558
0.53220915.4240595784206.9258392933
0.54221614.4144551914172.57621861441
0.55222305.9339720234110.08011077363
0.56222985.6571688764020.50039524244
0.57223649.467449653905.34300885892
0.58224293.6225993283767.74879751774
0.59224914.9208809343611.5033470174
0.6225510.8690528413440.80049165688
0.61226079.8527365473260.78777002129
0.62226621.3049719093077.59615861512
0.63227135.8607007332897.87293410043
0.64227625.4748385322729.77271539751
0.65228093.4723020132581.75190554664
0.66228544.4933958892462.2564029695
0.67228984.3008045052379.76698263703
0.68229419.4274736572339.7241943668
0.69229856.6682146332343.94597880173
0.7230302.4494334492388.96420224924
0.71230762.1455616072465.6452712055
0.72231239.4397927142560.33271278793
0.73231735.84197932657.00851202446
0.74232250.4706157182739.23904368689
0.75232780.1749483532792.76989584245
0.76233320.0192909512807.94719707989
0.77233864.0830641732780.29458389443
0.78234406.4612706152712.14327449758
0.79234942.2985785742612.05869457361
0.8235468.6722571752493.53852455485
0.81235985.1648645982372.98234952747
0.82236494.0357569262266.45614374755
0.83236999.9962538952186.96456109217
0.84237509.6886645282141.52227929037
0.85238031.0288688962131.10694660914
0.86238572.5644683162151.90287676581
0.87239142.9157957222198.154564342
0.88239750.2354303532264.37810598488
0.89240401.5211060222345.121209103
0.9241101.649220962431.3026619884
0.91241852.2158983312507.55401211599
0.92242650.5799587572550.91397302634
0.93243489.5881176742537.40798846323
0.94244357.9519749682453.14226487279
0.95245240.1177791852301.48332638847
0.96246113.5285340562091.15077587239
0.97246942.0138180911807.45533024345
0.98247668.1201264241418.84902702273
0.99248214.473272124972.276522194495


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')