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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 computationFri, 09 Oct 2015 19:47:36 +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/2015/Oct/09/t1444416502m2e88ngk020ibmk.htm/, Retrieved Tue, 14 May 2024 03:45:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=282029, Retrieved Tue, 14 May 2024 03:45:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact63

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] [Inschrijving mini...] [2015-10-09 18:47:36] [1e41f2c0cb9908cbb229b763456942f4] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
222
223
179
335
286
154
443
165
275
304
303
342
322
291
300
491
266
176

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' @ fisher.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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282029&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' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282029&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282029&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' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01154.63881182748810.3560057555729
0.02155.51965170230610.3432865125864
0.03156.628616579310.3798295710589
0.04157.94450551186110.4972536303511
0.05159.44294680648910.7257344939597
0.06161.09980565532111.0900140545098
0.07162.89365208681411.6076401750288
0.08164.80725368689112.2875663223203
0.09166.82818742615713.1305179806353
0.1168.94874089603114.1295007089642
0.11171.16530376683115.2706026599247
0.12173.47744717275316.5342953839428
0.13175.8868641088917.8962372479135
0.14178.39630826872919.328725641094
0.15181.00863003239420.8020417732962
0.16183.7259718888122.285964716819
0.17186.54915449624523.750818568103
0.18189.47726014799125.1692342320399
0.19192.50740270223126.5163937823828
0.2195.6346614291527.7712735961106
0.21198.85214974793428.9168184876898
0.22202.15118739450329.9400798902248
0.23205.52154514503930.8315672855926
0.24208.95173390255931.5857844157828
0.25212.42931395492732.199696308684
0.26215.94120489225632.6730516366221
0.27219.47398151777233.0072552435271
0.28223.01414570503333.204948963165
0.29226.54836826004733.2698901513269
0.3230.06369825374433.2066111261672
0.31233.54773990478133.0201902762204
0.32236.98879890268432.7160421285419
0.33240.37600112334632.3003608139258
0.34243.69938711193331.7800739412995
0.35246.94998563554731.1626738480538
0.36250.11986919842430.4567814178358
0.37253.20219382284529.6715467319603
0.38256.19122476872628.8171034947361
0.39259.08234930551227.904261156101
0.4261.87207723766626.9444282474315
0.41264.55802965932825.9494966061332
0.42267.1389163792424.9313915424865
0.43269.61450258968923.9018467250941
0.44271.98556560770622.8723564398208
0.45274.25384283594621.8540422465191
0.46276.42197241494920.8567280956225
0.47278.49342831353119.8898863970978
0.48280.47245178833618.9618304339712
0.49282.36398121203618.0797677747839
0.5284.17358221675817.2501251116003
0.51285.90737993855116.4782074766268
0.52287.57199491070615.7687245673979
0.53289.17448388250115.1257051815995
0.54290.72228658748214.5525630513467
0.55292.22317930563914.0524363010506
0.56293.68523600606113.6280903061608
0.57295.11679795868713.2821051476748
0.58296.52645298535213.0166461015545
0.59297.92302597769112.8334779351175
0.6299.31558291022812.7338679337862
0.61300.71345125723912.718364738109
0.62302.1262603851512.7867807365671
0.63303.56400601007512.9379846667825
0.64305.03714302792413.1703154554267
0.65306.55671076876713.4819621879744
0.66308.13449381828213.8710189070575
0.67309.7832198184114.3368191332938
0.68311.51679296993714.8799485289673
0.69313.35055823135515.5036651427068
0.7315.3015864440616.2146833339543
0.71317.38896492616117.0236535524913
0.72319.63407170980917.9463754235131
0.73322.06080493947319.0033288697652
0.74324.6957325359220.2196523736779
0.75327.56812172611421.6239329664524
0.76330.70980419440623.2462191227655
0.77334.15483120233725.1148532828419
0.78337.93887477263427.2530587354282
0.79342.09833650260529.674351284127
0.8346.66913507997832.3789451784579
0.81351.68515711538335.3497443552522
0.82357.17637312758638.5489675267381
0.83363.166640764541.9162006156917
0.84369.67123978962645.367510420521
0.85376.69420723930248.7961545424863
0.86384.22556603428452.075509407299
0.87392.23856641917355.0645336718842
0.88400.68708793930157.6160054708239
0.89409.50338204708459.5880072280977
0.9418.59637395184160.8579317913872
0.91427.85078833989361.3385930309524
0.92437.12741603827560.9950658303942
0.93446.26489190127859.8597009673566
0.94455.08339545933658.0419042296241
0.95463.39069348694755.7285501458733
0.96470.99088642029553.1687588917196
0.97477.69605999089250.6394363581514
0.98483.34073998914348.3931295772863
0.99487.79857236498646.6031176412637

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 154.638811827488 & 10.3560057555729 \tabularnewline
0.02 & 155.519651702306 & 10.3432865125864 \tabularnewline
0.03 & 156.6286165793 & 10.3798295710589 \tabularnewline
0.04 & 157.944505511861 & 10.4972536303511 \tabularnewline
0.05 & 159.442946806489 & 10.7257344939597 \tabularnewline
0.06 & 161.099805655321 & 11.0900140545098 \tabularnewline
0.07 & 162.893652086814 & 11.6076401750288 \tabularnewline
0.08 & 164.807253686891 & 12.2875663223203 \tabularnewline
0.09 & 166.828187426157 & 13.1305179806353 \tabularnewline
0.1 & 168.948740896031 & 14.1295007089642 \tabularnewline
0.11 & 171.165303766831 & 15.2706026599247 \tabularnewline
0.12 & 173.477447172753 & 16.5342953839428 \tabularnewline
0.13 & 175.88686410889 & 17.8962372479135 \tabularnewline
0.14 & 178.396308268729 & 19.328725641094 \tabularnewline
0.15 & 181.008630032394 & 20.8020417732962 \tabularnewline
0.16 & 183.72597188881 & 22.285964716819 \tabularnewline
0.17 & 186.549154496245 & 23.750818568103 \tabularnewline
0.18 & 189.477260147991 & 25.1692342320399 \tabularnewline
0.19 & 192.507402702231 & 26.5163937823828 \tabularnewline
0.2 & 195.63466142915 & 27.7712735961106 \tabularnewline
0.21 & 198.852149747934 & 28.9168184876898 \tabularnewline
0.22 & 202.151187394503 & 29.9400798902248 \tabularnewline
0.23 & 205.521545145039 & 30.8315672855926 \tabularnewline
0.24 & 208.951733902559 & 31.5857844157828 \tabularnewline
0.25 & 212.429313954927 & 32.199696308684 \tabularnewline
0.26 & 215.941204892256 & 32.6730516366221 \tabularnewline
0.27 & 219.473981517772 & 33.0072552435271 \tabularnewline
0.28 & 223.014145705033 & 33.204948963165 \tabularnewline
0.29 & 226.548368260047 & 33.2698901513269 \tabularnewline
0.3 & 230.063698253744 & 33.2066111261672 \tabularnewline
0.31 & 233.547739904781 & 33.0201902762204 \tabularnewline
0.32 & 236.988798902684 & 32.7160421285419 \tabularnewline
0.33 & 240.376001123346 & 32.3003608139258 \tabularnewline
0.34 & 243.699387111933 & 31.7800739412995 \tabularnewline
0.35 & 246.949985635547 & 31.1626738480538 \tabularnewline
0.36 & 250.119869198424 & 30.4567814178358 \tabularnewline
0.37 & 253.202193822845 & 29.6715467319603 \tabularnewline
0.38 & 256.191224768726 & 28.8171034947361 \tabularnewline
0.39 & 259.082349305512 & 27.904261156101 \tabularnewline
0.4 & 261.872077237666 & 26.9444282474315 \tabularnewline
0.41 & 264.558029659328 & 25.9494966061332 \tabularnewline
0.42 & 267.13891637924 & 24.9313915424865 \tabularnewline
0.43 & 269.614502589689 & 23.9018467250941 \tabularnewline
0.44 & 271.985565607706 & 22.8723564398208 \tabularnewline
0.45 & 274.253842835946 & 21.8540422465191 \tabularnewline
0.46 & 276.421972414949 & 20.8567280956225 \tabularnewline
0.47 & 278.493428313531 & 19.8898863970978 \tabularnewline
0.48 & 280.472451788336 & 18.9618304339712 \tabularnewline
0.49 & 282.363981212036 & 18.0797677747839 \tabularnewline
0.5 & 284.173582216758 & 17.2501251116003 \tabularnewline
0.51 & 285.907379938551 & 16.4782074766268 \tabularnewline
0.52 & 287.571994910706 & 15.7687245673979 \tabularnewline
0.53 & 289.174483882501 & 15.1257051815995 \tabularnewline
0.54 & 290.722286587482 & 14.5525630513467 \tabularnewline
0.55 & 292.223179305639 & 14.0524363010506 \tabularnewline
0.56 & 293.685236006061 & 13.6280903061608 \tabularnewline
0.57 & 295.116797958687 & 13.2821051476748 \tabularnewline
0.58 & 296.526452985352 & 13.0166461015545 \tabularnewline
0.59 & 297.923025977691 & 12.8334779351175 \tabularnewline
0.6 & 299.315582910228 & 12.7338679337862 \tabularnewline
0.61 & 300.713451257239 & 12.718364738109 \tabularnewline
0.62 & 302.12626038515 & 12.7867807365671 \tabularnewline
0.63 & 303.564006010075 & 12.9379846667825 \tabularnewline
0.64 & 305.037143027924 & 13.1703154554267 \tabularnewline
0.65 & 306.556710768767 & 13.4819621879744 \tabularnewline
0.66 & 308.134493818282 & 13.8710189070575 \tabularnewline
0.67 & 309.78321981841 & 14.3368191332938 \tabularnewline
0.68 & 311.516792969937 & 14.8799485289673 \tabularnewline
0.69 & 313.350558231355 & 15.5036651427068 \tabularnewline
0.7 & 315.30158644406 & 16.2146833339543 \tabularnewline
0.71 & 317.388964926161 & 17.0236535524913 \tabularnewline
0.72 & 319.634071709809 & 17.9463754235131 \tabularnewline
0.73 & 322.060804939473 & 19.0033288697652 \tabularnewline
0.74 & 324.69573253592 & 20.2196523736779 \tabularnewline
0.75 & 327.568121726114 & 21.6239329664524 \tabularnewline
0.76 & 330.709804194406 & 23.2462191227655 \tabularnewline
0.77 & 334.154831202337 & 25.1148532828419 \tabularnewline
0.78 & 337.938874772634 & 27.2530587354282 \tabularnewline
0.79 & 342.098336502605 & 29.674351284127 \tabularnewline
0.8 & 346.669135079978 & 32.3789451784579 \tabularnewline
0.81 & 351.685157115383 & 35.3497443552522 \tabularnewline
0.82 & 357.176373127586 & 38.5489675267381 \tabularnewline
0.83 & 363.1666407645 & 41.9162006156917 \tabularnewline
0.84 & 369.671239789626 & 45.367510420521 \tabularnewline
0.85 & 376.694207239302 & 48.7961545424863 \tabularnewline
0.86 & 384.225566034284 & 52.075509407299 \tabularnewline
0.87 & 392.238566419173 & 55.0645336718842 \tabularnewline
0.88 & 400.687087939301 & 57.6160054708239 \tabularnewline
0.89 & 409.503382047084 & 59.5880072280977 \tabularnewline
0.9 & 418.596373951841 & 60.8579317913872 \tabularnewline
0.91 & 427.850788339893 & 61.3385930309524 \tabularnewline
0.92 & 437.127416038275 & 60.9950658303942 \tabularnewline
0.93 & 446.264891901278 & 59.8597009673566 \tabularnewline
0.94 & 455.083395459336 & 58.0419042296241 \tabularnewline
0.95 & 463.390693486947 & 55.7285501458733 \tabularnewline
0.96 & 470.990886420295 & 53.1687588917196 \tabularnewline
0.97 & 477.696059990892 & 50.6394363581514 \tabularnewline
0.98 & 483.340739989143 & 48.3931295772863 \tabularnewline
0.99 & 487.798572364986 & 46.6031176412637 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282029&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]154.638811827488[/C][C]10.3560057555729[/C][/ROW]
[ROW][C]0.02[/C][C]155.519651702306[/C][C]10.3432865125864[/C][/ROW]
[ROW][C]0.03[/C][C]156.6286165793[/C][C]10.3798295710589[/C][/ROW]
[ROW][C]0.04[/C][C]157.944505511861[/C][C]10.4972536303511[/C][/ROW]
[ROW][C]0.05[/C][C]159.442946806489[/C][C]10.7257344939597[/C][/ROW]
[ROW][C]0.06[/C][C]161.099805655321[/C][C]11.0900140545098[/C][/ROW]
[ROW][C]0.07[/C][C]162.893652086814[/C][C]11.6076401750288[/C][/ROW]
[ROW][C]0.08[/C][C]164.807253686891[/C][C]12.2875663223203[/C][/ROW]
[ROW][C]0.09[/C][C]166.828187426157[/C][C]13.1305179806353[/C][/ROW]
[ROW][C]0.1[/C][C]168.948740896031[/C][C]14.1295007089642[/C][/ROW]
[ROW][C]0.11[/C][C]171.165303766831[/C][C]15.2706026599247[/C][/ROW]
[ROW][C]0.12[/C][C]173.477447172753[/C][C]16.5342953839428[/C][/ROW]
[ROW][C]0.13[/C][C]175.88686410889[/C][C]17.8962372479135[/C][/ROW]
[ROW][C]0.14[/C][C]178.396308268729[/C][C]19.328725641094[/C][/ROW]
[ROW][C]0.15[/C][C]181.008630032394[/C][C]20.8020417732962[/C][/ROW]
[ROW][C]0.16[/C][C]183.72597188881[/C][C]22.285964716819[/C][/ROW]
[ROW][C]0.17[/C][C]186.549154496245[/C][C]23.750818568103[/C][/ROW]
[ROW][C]0.18[/C][C]189.477260147991[/C][C]25.1692342320399[/C][/ROW]
[ROW][C]0.19[/C][C]192.507402702231[/C][C]26.5163937823828[/C][/ROW]
[ROW][C]0.2[/C][C]195.63466142915[/C][C]27.7712735961106[/C][/ROW]
[ROW][C]0.21[/C][C]198.852149747934[/C][C]28.9168184876898[/C][/ROW]
[ROW][C]0.22[/C][C]202.151187394503[/C][C]29.9400798902248[/C][/ROW]
[ROW][C]0.23[/C][C]205.521545145039[/C][C]30.8315672855926[/C][/ROW]
[ROW][C]0.24[/C][C]208.951733902559[/C][C]31.5857844157828[/C][/ROW]
[ROW][C]0.25[/C][C]212.429313954927[/C][C]32.199696308684[/C][/ROW]
[ROW][C]0.26[/C][C]215.941204892256[/C][C]32.6730516366221[/C][/ROW]
[ROW][C]0.27[/C][C]219.473981517772[/C][C]33.0072552435271[/C][/ROW]
[ROW][C]0.28[/C][C]223.014145705033[/C][C]33.204948963165[/C][/ROW]
[ROW][C]0.29[/C][C]226.548368260047[/C][C]33.2698901513269[/C][/ROW]
[ROW][C]0.3[/C][C]230.063698253744[/C][C]33.2066111261672[/C][/ROW]
[ROW][C]0.31[/C][C]233.547739904781[/C][C]33.0201902762204[/C][/ROW]
[ROW][C]0.32[/C][C]236.988798902684[/C][C]32.7160421285419[/C][/ROW]
[ROW][C]0.33[/C][C]240.376001123346[/C][C]32.3003608139258[/C][/ROW]
[ROW][C]0.34[/C][C]243.699387111933[/C][C]31.7800739412995[/C][/ROW]
[ROW][C]0.35[/C][C]246.949985635547[/C][C]31.1626738480538[/C][/ROW]
[ROW][C]0.36[/C][C]250.119869198424[/C][C]30.4567814178358[/C][/ROW]
[ROW][C]0.37[/C][C]253.202193822845[/C][C]29.6715467319603[/C][/ROW]
[ROW][C]0.38[/C][C]256.191224768726[/C][C]28.8171034947361[/C][/ROW]
[ROW][C]0.39[/C][C]259.082349305512[/C][C]27.904261156101[/C][/ROW]
[ROW][C]0.4[/C][C]261.872077237666[/C][C]26.9444282474315[/C][/ROW]
[ROW][C]0.41[/C][C]264.558029659328[/C][C]25.9494966061332[/C][/ROW]
[ROW][C]0.42[/C][C]267.13891637924[/C][C]24.9313915424865[/C][/ROW]
[ROW][C]0.43[/C][C]269.614502589689[/C][C]23.9018467250941[/C][/ROW]
[ROW][C]0.44[/C][C]271.985565607706[/C][C]22.8723564398208[/C][/ROW]
[ROW][C]0.45[/C][C]274.253842835946[/C][C]21.8540422465191[/C][/ROW]
[ROW][C]0.46[/C][C]276.421972414949[/C][C]20.8567280956225[/C][/ROW]
[ROW][C]0.47[/C][C]278.493428313531[/C][C]19.8898863970978[/C][/ROW]
[ROW][C]0.48[/C][C]280.472451788336[/C][C]18.9618304339712[/C][/ROW]
[ROW][C]0.49[/C][C]282.363981212036[/C][C]18.0797677747839[/C][/ROW]
[ROW][C]0.5[/C][C]284.173582216758[/C][C]17.2501251116003[/C][/ROW]
[ROW][C]0.51[/C][C]285.907379938551[/C][C]16.4782074766268[/C][/ROW]
[ROW][C]0.52[/C][C]287.571994910706[/C][C]15.7687245673979[/C][/ROW]
[ROW][C]0.53[/C][C]289.174483882501[/C][C]15.1257051815995[/C][/ROW]
[ROW][C]0.54[/C][C]290.722286587482[/C][C]14.5525630513467[/C][/ROW]
[ROW][C]0.55[/C][C]292.223179305639[/C][C]14.0524363010506[/C][/ROW]
[ROW][C]0.56[/C][C]293.685236006061[/C][C]13.6280903061608[/C][/ROW]
[ROW][C]0.57[/C][C]295.116797958687[/C][C]13.2821051476748[/C][/ROW]
[ROW][C]0.58[/C][C]296.526452985352[/C][C]13.0166461015545[/C][/ROW]
[ROW][C]0.59[/C][C]297.923025977691[/C][C]12.8334779351175[/C][/ROW]
[ROW][C]0.6[/C][C]299.315582910228[/C][C]12.7338679337862[/C][/ROW]
[ROW][C]0.61[/C][C]300.713451257239[/C][C]12.718364738109[/C][/ROW]
[ROW][C]0.62[/C][C]302.12626038515[/C][C]12.7867807365671[/C][/ROW]
[ROW][C]0.63[/C][C]303.564006010075[/C][C]12.9379846667825[/C][/ROW]
[ROW][C]0.64[/C][C]305.037143027924[/C][C]13.1703154554267[/C][/ROW]
[ROW][C]0.65[/C][C]306.556710768767[/C][C]13.4819621879744[/C][/ROW]
[ROW][C]0.66[/C][C]308.134493818282[/C][C]13.8710189070575[/C][/ROW]
[ROW][C]0.67[/C][C]309.78321981841[/C][C]14.3368191332938[/C][/ROW]
[ROW][C]0.68[/C][C]311.516792969937[/C][C]14.8799485289673[/C][/ROW]
[ROW][C]0.69[/C][C]313.350558231355[/C][C]15.5036651427068[/C][/ROW]
[ROW][C]0.7[/C][C]315.30158644406[/C][C]16.2146833339543[/C][/ROW]
[ROW][C]0.71[/C][C]317.388964926161[/C][C]17.0236535524913[/C][/ROW]
[ROW][C]0.72[/C][C]319.634071709809[/C][C]17.9463754235131[/C][/ROW]
[ROW][C]0.73[/C][C]322.060804939473[/C][C]19.0033288697652[/C][/ROW]
[ROW][C]0.74[/C][C]324.69573253592[/C][C]20.2196523736779[/C][/ROW]
[ROW][C]0.75[/C][C]327.568121726114[/C][C]21.6239329664524[/C][/ROW]
[ROW][C]0.76[/C][C]330.709804194406[/C][C]23.2462191227655[/C][/ROW]
[ROW][C]0.77[/C][C]334.154831202337[/C][C]25.1148532828419[/C][/ROW]
[ROW][C]0.78[/C][C]337.938874772634[/C][C]27.2530587354282[/C][/ROW]
[ROW][C]0.79[/C][C]342.098336502605[/C][C]29.674351284127[/C][/ROW]
[ROW][C]0.8[/C][C]346.669135079978[/C][C]32.3789451784579[/C][/ROW]
[ROW][C]0.81[/C][C]351.685157115383[/C][C]35.3497443552522[/C][/ROW]
[ROW][C]0.82[/C][C]357.176373127586[/C][C]38.5489675267381[/C][/ROW]
[ROW][C]0.83[/C][C]363.1666407645[/C][C]41.9162006156917[/C][/ROW]
[ROW][C]0.84[/C][C]369.671239789626[/C][C]45.367510420521[/C][/ROW]
[ROW][C]0.85[/C][C]376.694207239302[/C][C]48.7961545424863[/C][/ROW]
[ROW][C]0.86[/C][C]384.225566034284[/C][C]52.075509407299[/C][/ROW]
[ROW][C]0.87[/C][C]392.238566419173[/C][C]55.0645336718842[/C][/ROW]
[ROW][C]0.88[/C][C]400.687087939301[/C][C]57.6160054708239[/C][/ROW]
[ROW][C]0.89[/C][C]409.503382047084[/C][C]59.5880072280977[/C][/ROW]
[ROW][C]0.9[/C][C]418.596373951841[/C][C]60.8579317913872[/C][/ROW]
[ROW][C]0.91[/C][C]427.850788339893[/C][C]61.3385930309524[/C][/ROW]
[ROW][C]0.92[/C][C]437.127416038275[/C][C]60.9950658303942[/C][/ROW]
[ROW][C]0.93[/C][C]446.264891901278[/C][C]59.8597009673566[/C][/ROW]
[ROW][C]0.94[/C][C]455.083395459336[/C][C]58.0419042296241[/C][/ROW]
[ROW][C]0.95[/C][C]463.390693486947[/C][C]55.7285501458733[/C][/ROW]
[ROW][C]0.96[/C][C]470.990886420295[/C][C]53.1687588917196[/C][/ROW]
[ROW][C]0.97[/C][C]477.696059990892[/C][C]50.6394363581514[/C][/ROW]
[ROW][C]0.98[/C][C]483.340739989143[/C][C]48.3931295772863[/C][/ROW]
[ROW][C]0.99[/C][C]487.798572364986[/C][C]46.6031176412637[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282029&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282029&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
0.01154.63881182748810.3560057555729
0.02155.51965170230610.3432865125864
0.03156.628616579310.3798295710589
0.04157.94450551186110.4972536303511
0.05159.44294680648910.7257344939597
0.06161.09980565532111.0900140545098
0.07162.89365208681411.6076401750288
0.08164.80725368689112.2875663223203
0.09166.82818742615713.1305179806353
0.1168.94874089603114.1295007089642
0.11171.16530376683115.2706026599247
0.12173.47744717275316.5342953839428
0.13175.8868641088917.8962372479135
0.14178.39630826872919.328725641094
0.15181.00863003239420.8020417732962
0.16183.7259718888122.285964716819
0.17186.54915449624523.750818568103
0.18189.47726014799125.1692342320399
0.19192.50740270223126.5163937823828
0.2195.6346614291527.7712735961106
0.21198.85214974793428.9168184876898
0.22202.15118739450329.9400798902248
0.23205.52154514503930.8315672855926
0.24208.95173390255931.5857844157828
0.25212.42931395492732.199696308684
0.26215.94120489225632.6730516366221
0.27219.47398151777233.0072552435271
0.28223.01414570503333.204948963165
0.29226.54836826004733.2698901513269
0.3230.06369825374433.2066111261672
0.31233.54773990478133.0201902762204
0.32236.98879890268432.7160421285419
0.33240.37600112334632.3003608139258
0.34243.69938711193331.7800739412995
0.35246.94998563554731.1626738480538
0.36250.11986919842430.4567814178358
0.37253.20219382284529.6715467319603
0.38256.19122476872628.8171034947361
0.39259.08234930551227.904261156101
0.4261.87207723766626.9444282474315
0.41264.55802965932825.9494966061332
0.42267.1389163792424.9313915424865
0.43269.61450258968923.9018467250941
0.44271.98556560770622.8723564398208
0.45274.25384283594621.8540422465191
0.46276.42197241494920.8567280956225
0.47278.49342831353119.8898863970978
0.48280.47245178833618.9618304339712
0.49282.36398121203618.0797677747839
0.5284.17358221675817.2501251116003
0.51285.90737993855116.4782074766268
0.52287.57199491070615.7687245673979
0.53289.17448388250115.1257051815995
0.54290.72228658748214.5525630513467
0.55292.22317930563914.0524363010506
0.56293.68523600606113.6280903061608
0.57295.11679795868713.2821051476748
0.58296.52645298535213.0166461015545
0.59297.92302597769112.8334779351175
0.6299.31558291022812.7338679337862
0.61300.71345125723912.718364738109
0.62302.1262603851512.7867807365671
0.63303.56400601007512.9379846667825
0.64305.03714302792413.1703154554267
0.65306.55671076876713.4819621879744
0.66308.13449381828213.8710189070575
0.67309.7832198184114.3368191332938
0.68311.51679296993714.8799485289673
0.69313.35055823135515.5036651427068
0.7315.3015864440616.2146833339543
0.71317.38896492616117.0236535524913
0.72319.63407170980917.9463754235131
0.73322.06080493947319.0033288697652
0.74324.6957325359220.2196523736779
0.75327.56812172611421.6239329664524
0.76330.70980419440623.2462191227655
0.77334.15483120233725.1148532828419
0.78337.93887477263427.2530587354282
0.79342.09833650260529.674351284127
0.8346.66913507997832.3789451784579
0.81351.68515711538335.3497443552522
0.82357.17637312758638.5489675267381
0.83363.166640764541.9162006156917
0.84369.67123978962645.367510420521
0.85376.69420723930248.7961545424863
0.86384.22556603428452.075509407299
0.87392.23856641917355.0645336718842
0.88400.68708793930157.6160054708239
0.89409.50338204708459.5880072280977
0.9418.59637395184160.8579317913872
0.91427.85078833989361.3385930309524
0.92437.12741603827560.9950658303942
0.93446.26489190127859.8597009673566
0.94455.08339545933658.0419042296241
0.95463.39069348694755.7285501458733
0.96470.99088642029553.1687588917196
0.97477.69605999089250.6394363581514
0.98483.34073998914348.3931295772863
0.99487.79857236498646.6031176412637


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')