FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 22 Nov 2007 12:56:52 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Nov/22/t1195760927s3sm74nouhydb9f.htm/, Retrieved Thu, 02 May 2024 21:11:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6098, Retrieved Thu, 02 May 2024 21:11:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsQ5, groep1, ws2, deel 2
Estimated Impact189

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] [Q5, groep1, ws2, ...] [2007-11-22 19:56:52] [234bcf6fb77cd83fa17f2489a043102b] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,989130435
0,919087137
0,925417076
0,925612053
1,066666667
0,851108765
1,030693069
0,989031079
0,913000978
0,792723264
0,978170478
0,987513007
0,909433962
0,883608147
0,82745098
0,8252149
1,023255814
0,815418024
1,026192703
0,914742451
0,807276303
0,739130435
0,98973306
0,972164948
0,853889943
0,856864654
0,775739042
0,789473684
0,931350114
0,73971079
0,885245902
0,842435094
0,818458418
0,72755418
0,923238696
0,922680412
0,883762201
0,818270165
0,771047228
0,825852783
0,924485126
0,755165289
0,874671341
0,815956482
0,799807507
0,712598425
0,832980973
0,910323253
0,869149952
0,779182879
0,750254842
0,75856014
0,920889988
0,743991641
0,816254417
0,769593957
0,784007353
0,683284457
0,850505051
0,900695134
0,868398268

Tables (Output of Computation)





Summary of compuational 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 compuational 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=6098&T=0

[TABLE]
[ROW][C]Summary of compuational 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=6098&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6098&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 compuational 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
0.0050.6862042538958430.027525564809375
0.0150.695328516391510.0237478877648397
0.0250.7060633492676350.0198465789395556
0.0350.7159516138801480.0166215258042675
0.0450.7240586011050520.0140703182613428
0.0550.7304356673923330.0121149909956676
0.0650.7354903216164830.0108066015941988
0.0750.7396534689499870.0101793297879612
0.0850.7432707621623240.0101353192153298
0.0950.746587974160870.0104732151930134
0.1050.7497633548654090.0109874944000426
0.1150.7528861846412480.011526196109277
0.1250.7559965042386430.0120023630740173
0.1350.7591036088246720.0123794859228747
0.1450.7622013262409720.0126567941304853
0.1550.7652790224013810.0128558221765743
0.1650.7683283114925050.0130144421835237
0.1750.7713461086584590.0131688330441186
0.1850.7743349159566050.0133498482950950
0.1950.777301253686970.0135731710298020
0.2050.7802530850668450.0138365601431088
0.2150.7831969876957030.0141174358517317
0.2250.786135699627410.0143846557028513
0.2350.7890665023981270.0145991622719790
0.2450.7919807046427040.0147237824554493
0.2550.7948642798915040.0147280297587216
0.2650.7976995183296780.0145984773988804
0.2750.8004673991442170.0143309797285947
0.2850.8031502944576240.0139450299536084
0.2950.8057345858297930.0134705795297250
0.3050.8082128090538750.0129541498747749
0.3150.8105850329096770.0124458847090164
0.3250.8128593053962450.0120017778516538
0.3350.8150511442774570.0116707726396800
0.3450.81718218386970.0114911913408600
0.3550.8192781965333820.0114847599378424
0.3650.8213667719718760.0116540564540377
0.3750.823474955628730.0119849795430896
0.3850.8256271228842560.0124467534622199
0.3950.827843308029950.0130032727209724
0.4050.830138128753730.0136141559586320
0.4150.8325203609755270.014239355935933
0.4250.8349931366817240.0148447068575053
0.4350.8375546679228530.0154054385698285
0.4450.840199349815240.0159026498787941
0.4550.842919068074370.0163293765922274
0.4650.845704533386040.0166846565470461
0.4750.848546483872970.016977358744869
0.4850.8514366331430270.0172187792349239
0.4950.8543682876468240.0174228142653241
0.5050.8573366050283960.0176023510894760
0.5150.860338507314890.0177692702667512
0.5250.8633722942182350.0179306594638612
0.5350.8664370212111810.0180887588131363
0.5450.8695317166163640.0182426657825205
0.5550.8726545161075920.018383189674388
0.5650.875801796171790.0184986869432896
0.5750.8789673924659030.0185711418697827
0.5850.8821419934445170.0185807007579698
0.5950.8853127997586440.0185049726254956
0.6050.88846352998260.0183201309933662
0.6150.891574828892460.0180089438351744
0.6250.8946250956461050.0175555885089826
0.6350.8975917013146280.0169579792264604
0.6450.9004525188401710.016221689059496
0.6550.9031876563294950.0153625193885056
0.6650.9057812769225110.0144091565224269
0.6750.9082234084093080.0133979903424574
0.6850.9105116858836810.0123737931848146
0.6950.9126530126348430.0113881931568975
0.7050.9146651422510520.010499492187601
0.7150.9165781522561080.0097739816098994
0.7250.9184356799372330.00928730737487212
0.7350.9202956283274050.00912687379165225
0.7450.922229857824110.00937991935349045
0.7550.9243222219448590.0101152973121683
0.7650.9266642743538860.0113594068413920
0.7750.929348163364890.0130812991346697
0.7850.9324567063621750.0151890292663688
0.7950.9360513988619070.0175302199442381
0.8050.9401600575698230.0198976618965236
0.8150.944766704047460.0220458127317437
0.8250.9498068518080260.0237213485977124
0.8350.9551712199516320.0247034605007399
0.8450.9607197795381480.0248523903562826
0.8550.966305836451700.0241546036192985
0.8650.9718067418188990.0227469681506455
0.8750.977154370209490.0209219326696186
0.8850.9823558024886560.0190973891840825
0.8950.9874943595426720.0177293033734479
0.9050.9927053308012220.0171442690578422
0.9150.9981311560111320.0173115013737246
0.9251.003877011588570.0177851170554244
0.9351.010003778943810.0179413450399507
0.9451.016595052227700.0173787755922235
0.9551.02388918830220.0163837185740052
0.9651.032349122113090.0163772628548821
0.9751.042390511044760.0194346308279013
0.9851.053532091645060.0258175092461661

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.005 & 0.686204253895843 & 0.027525564809375 \tabularnewline
0.015 & 0.69532851639151 & 0.0237478877648397 \tabularnewline
0.025 & 0.706063349267635 & 0.0198465789395556 \tabularnewline
0.035 & 0.715951613880148 & 0.0166215258042675 \tabularnewline
0.045 & 0.724058601105052 & 0.0140703182613428 \tabularnewline
0.055 & 0.730435667392333 & 0.0121149909956676 \tabularnewline
0.065 & 0.735490321616483 & 0.0108066015941988 \tabularnewline
0.075 & 0.739653468949987 & 0.0101793297879612 \tabularnewline
0.085 & 0.743270762162324 & 0.0101353192153298 \tabularnewline
0.095 & 0.74658797416087 & 0.0104732151930134 \tabularnewline
0.105 & 0.749763354865409 & 0.0109874944000426 \tabularnewline
0.115 & 0.752886184641248 & 0.011526196109277 \tabularnewline
0.125 & 0.755996504238643 & 0.0120023630740173 \tabularnewline
0.135 & 0.759103608824672 & 0.0123794859228747 \tabularnewline
0.145 & 0.762201326240972 & 0.0126567941304853 \tabularnewline
0.155 & 0.765279022401381 & 0.0128558221765743 \tabularnewline
0.165 & 0.768328311492505 & 0.0130144421835237 \tabularnewline
0.175 & 0.771346108658459 & 0.0131688330441186 \tabularnewline
0.185 & 0.774334915956605 & 0.0133498482950950 \tabularnewline
0.195 & 0.77730125368697 & 0.0135731710298020 \tabularnewline
0.205 & 0.780253085066845 & 0.0138365601431088 \tabularnewline
0.215 & 0.783196987695703 & 0.0141174358517317 \tabularnewline
0.225 & 0.78613569962741 & 0.0143846557028513 \tabularnewline
0.235 & 0.789066502398127 & 0.0145991622719790 \tabularnewline
0.245 & 0.791980704642704 & 0.0147237824554493 \tabularnewline
0.255 & 0.794864279891504 & 0.0147280297587216 \tabularnewline
0.265 & 0.797699518329678 & 0.0145984773988804 \tabularnewline
0.275 & 0.800467399144217 & 0.0143309797285947 \tabularnewline
0.285 & 0.803150294457624 & 0.0139450299536084 \tabularnewline
0.295 & 0.805734585829793 & 0.0134705795297250 \tabularnewline
0.305 & 0.808212809053875 & 0.0129541498747749 \tabularnewline
0.315 & 0.810585032909677 & 0.0124458847090164 \tabularnewline
0.325 & 0.812859305396245 & 0.0120017778516538 \tabularnewline
0.335 & 0.815051144277457 & 0.0116707726396800 \tabularnewline
0.345 & 0.8171821838697 & 0.0114911913408600 \tabularnewline
0.355 & 0.819278196533382 & 0.0114847599378424 \tabularnewline
0.365 & 0.821366771971876 & 0.0116540564540377 \tabularnewline
0.375 & 0.82347495562873 & 0.0119849795430896 \tabularnewline
0.385 & 0.825627122884256 & 0.0124467534622199 \tabularnewline
0.395 & 0.82784330802995 & 0.0130032727209724 \tabularnewline
0.405 & 0.83013812875373 & 0.0136141559586320 \tabularnewline
0.415 & 0.832520360975527 & 0.014239355935933 \tabularnewline
0.425 & 0.834993136681724 & 0.0148447068575053 \tabularnewline
0.435 & 0.837554667922853 & 0.0154054385698285 \tabularnewline
0.445 & 0.84019934981524 & 0.0159026498787941 \tabularnewline
0.455 & 0.84291906807437 & 0.0163293765922274 \tabularnewline
0.465 & 0.84570453338604 & 0.0166846565470461 \tabularnewline
0.475 & 0.84854648387297 & 0.016977358744869 \tabularnewline
0.485 & 0.851436633143027 & 0.0172187792349239 \tabularnewline
0.495 & 0.854368287646824 & 0.0174228142653241 \tabularnewline
0.505 & 0.857336605028396 & 0.0176023510894760 \tabularnewline
0.515 & 0.86033850731489 & 0.0177692702667512 \tabularnewline
0.525 & 0.863372294218235 & 0.0179306594638612 \tabularnewline
0.535 & 0.866437021211181 & 0.0180887588131363 \tabularnewline
0.545 & 0.869531716616364 & 0.0182426657825205 \tabularnewline
0.555 & 0.872654516107592 & 0.018383189674388 \tabularnewline
0.565 & 0.87580179617179 & 0.0184986869432896 \tabularnewline
0.575 & 0.878967392465903 & 0.0185711418697827 \tabularnewline
0.585 & 0.882141993444517 & 0.0185807007579698 \tabularnewline
0.595 & 0.885312799758644 & 0.0185049726254956 \tabularnewline
0.605 & 0.8884635299826 & 0.0183201309933662 \tabularnewline
0.615 & 0.89157482889246 & 0.0180089438351744 \tabularnewline
0.625 & 0.894625095646105 & 0.0175555885089826 \tabularnewline
0.635 & 0.897591701314628 & 0.0169579792264604 \tabularnewline
0.645 & 0.900452518840171 & 0.016221689059496 \tabularnewline
0.655 & 0.903187656329495 & 0.0153625193885056 \tabularnewline
0.665 & 0.905781276922511 & 0.0144091565224269 \tabularnewline
0.675 & 0.908223408409308 & 0.0133979903424574 \tabularnewline
0.685 & 0.910511685883681 & 0.0123737931848146 \tabularnewline
0.695 & 0.912653012634843 & 0.0113881931568975 \tabularnewline
0.705 & 0.914665142251052 & 0.010499492187601 \tabularnewline
0.715 & 0.916578152256108 & 0.0097739816098994 \tabularnewline
0.725 & 0.918435679937233 & 0.00928730737487212 \tabularnewline
0.735 & 0.920295628327405 & 0.00912687379165225 \tabularnewline
0.745 & 0.92222985782411 & 0.00937991935349045 \tabularnewline
0.755 & 0.924322221944859 & 0.0101152973121683 \tabularnewline
0.765 & 0.926664274353886 & 0.0113594068413920 \tabularnewline
0.775 & 0.92934816336489 & 0.0130812991346697 \tabularnewline
0.785 & 0.932456706362175 & 0.0151890292663688 \tabularnewline
0.795 & 0.936051398861907 & 0.0175302199442381 \tabularnewline
0.805 & 0.940160057569823 & 0.0198976618965236 \tabularnewline
0.815 & 0.94476670404746 & 0.0220458127317437 \tabularnewline
0.825 & 0.949806851808026 & 0.0237213485977124 \tabularnewline
0.835 & 0.955171219951632 & 0.0247034605007399 \tabularnewline
0.845 & 0.960719779538148 & 0.0248523903562826 \tabularnewline
0.855 & 0.96630583645170 & 0.0241546036192985 \tabularnewline
0.865 & 0.971806741818899 & 0.0227469681506455 \tabularnewline
0.875 & 0.97715437020949 & 0.0209219326696186 \tabularnewline
0.885 & 0.982355802488656 & 0.0190973891840825 \tabularnewline
0.895 & 0.987494359542672 & 0.0177293033734479 \tabularnewline
0.905 & 0.992705330801222 & 0.0171442690578422 \tabularnewline
0.915 & 0.998131156011132 & 0.0173115013737246 \tabularnewline
0.925 & 1.00387701158857 & 0.0177851170554244 \tabularnewline
0.935 & 1.01000377894381 & 0.0179413450399507 \tabularnewline
0.945 & 1.01659505222770 & 0.0173787755922235 \tabularnewline
0.955 & 1.0238891883022 & 0.0163837185740052 \tabularnewline
0.965 & 1.03234912211309 & 0.0163772628548821 \tabularnewline
0.975 & 1.04239051104476 & 0.0194346308279013 \tabularnewline
0.985 & 1.05353209164506 & 0.0258175092461661 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6098&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.005[/C][C]0.686204253895843[/C][C]0.027525564809375[/C][/ROW]
[ROW][C]0.015[/C][C]0.69532851639151[/C][C]0.0237478877648397[/C][/ROW]
[ROW][C]0.025[/C][C]0.706063349267635[/C][C]0.0198465789395556[/C][/ROW]
[ROW][C]0.035[/C][C]0.715951613880148[/C][C]0.0166215258042675[/C][/ROW]
[ROW][C]0.045[/C][C]0.724058601105052[/C][C]0.0140703182613428[/C][/ROW]
[ROW][C]0.055[/C][C]0.730435667392333[/C][C]0.0121149909956676[/C][/ROW]
[ROW][C]0.065[/C][C]0.735490321616483[/C][C]0.0108066015941988[/C][/ROW]
[ROW][C]0.075[/C][C]0.739653468949987[/C][C]0.0101793297879612[/C][/ROW]
[ROW][C]0.085[/C][C]0.743270762162324[/C][C]0.0101353192153298[/C][/ROW]
[ROW][C]0.095[/C][C]0.74658797416087[/C][C]0.0104732151930134[/C][/ROW]
[ROW][C]0.105[/C][C]0.749763354865409[/C][C]0.0109874944000426[/C][/ROW]
[ROW][C]0.115[/C][C]0.752886184641248[/C][C]0.011526196109277[/C][/ROW]
[ROW][C]0.125[/C][C]0.755996504238643[/C][C]0.0120023630740173[/C][/ROW]
[ROW][C]0.135[/C][C]0.759103608824672[/C][C]0.0123794859228747[/C][/ROW]
[ROW][C]0.145[/C][C]0.762201326240972[/C][C]0.0126567941304853[/C][/ROW]
[ROW][C]0.155[/C][C]0.765279022401381[/C][C]0.0128558221765743[/C][/ROW]
[ROW][C]0.165[/C][C]0.768328311492505[/C][C]0.0130144421835237[/C][/ROW]
[ROW][C]0.175[/C][C]0.771346108658459[/C][C]0.0131688330441186[/C][/ROW]
[ROW][C]0.185[/C][C]0.774334915956605[/C][C]0.0133498482950950[/C][/ROW]
[ROW][C]0.195[/C][C]0.77730125368697[/C][C]0.0135731710298020[/C][/ROW]
[ROW][C]0.205[/C][C]0.780253085066845[/C][C]0.0138365601431088[/C][/ROW]
[ROW][C]0.215[/C][C]0.783196987695703[/C][C]0.0141174358517317[/C][/ROW]
[ROW][C]0.225[/C][C]0.78613569962741[/C][C]0.0143846557028513[/C][/ROW]
[ROW][C]0.235[/C][C]0.789066502398127[/C][C]0.0145991622719790[/C][/ROW]
[ROW][C]0.245[/C][C]0.791980704642704[/C][C]0.0147237824554493[/C][/ROW]
[ROW][C]0.255[/C][C]0.794864279891504[/C][C]0.0147280297587216[/C][/ROW]
[ROW][C]0.265[/C][C]0.797699518329678[/C][C]0.0145984773988804[/C][/ROW]
[ROW][C]0.275[/C][C]0.800467399144217[/C][C]0.0143309797285947[/C][/ROW]
[ROW][C]0.285[/C][C]0.803150294457624[/C][C]0.0139450299536084[/C][/ROW]
[ROW][C]0.295[/C][C]0.805734585829793[/C][C]0.0134705795297250[/C][/ROW]
[ROW][C]0.305[/C][C]0.808212809053875[/C][C]0.0129541498747749[/C][/ROW]
[ROW][C]0.315[/C][C]0.810585032909677[/C][C]0.0124458847090164[/C][/ROW]
[ROW][C]0.325[/C][C]0.812859305396245[/C][C]0.0120017778516538[/C][/ROW]
[ROW][C]0.335[/C][C]0.815051144277457[/C][C]0.0116707726396800[/C][/ROW]
[ROW][C]0.345[/C][C]0.8171821838697[/C][C]0.0114911913408600[/C][/ROW]
[ROW][C]0.355[/C][C]0.819278196533382[/C][C]0.0114847599378424[/C][/ROW]
[ROW][C]0.365[/C][C]0.821366771971876[/C][C]0.0116540564540377[/C][/ROW]
[ROW][C]0.375[/C][C]0.82347495562873[/C][C]0.0119849795430896[/C][/ROW]
[ROW][C]0.385[/C][C]0.825627122884256[/C][C]0.0124467534622199[/C][/ROW]
[ROW][C]0.395[/C][C]0.82784330802995[/C][C]0.0130032727209724[/C][/ROW]
[ROW][C]0.405[/C][C]0.83013812875373[/C][C]0.0136141559586320[/C][/ROW]
[ROW][C]0.415[/C][C]0.832520360975527[/C][C]0.014239355935933[/C][/ROW]
[ROW][C]0.425[/C][C]0.834993136681724[/C][C]0.0148447068575053[/C][/ROW]
[ROW][C]0.435[/C][C]0.837554667922853[/C][C]0.0154054385698285[/C][/ROW]
[ROW][C]0.445[/C][C]0.84019934981524[/C][C]0.0159026498787941[/C][/ROW]
[ROW][C]0.455[/C][C]0.84291906807437[/C][C]0.0163293765922274[/C][/ROW]
[ROW][C]0.465[/C][C]0.84570453338604[/C][C]0.0166846565470461[/C][/ROW]
[ROW][C]0.475[/C][C]0.84854648387297[/C][C]0.016977358744869[/C][/ROW]
[ROW][C]0.485[/C][C]0.851436633143027[/C][C]0.0172187792349239[/C][/ROW]
[ROW][C]0.495[/C][C]0.854368287646824[/C][C]0.0174228142653241[/C][/ROW]
[ROW][C]0.505[/C][C]0.857336605028396[/C][C]0.0176023510894760[/C][/ROW]
[ROW][C]0.515[/C][C]0.86033850731489[/C][C]0.0177692702667512[/C][/ROW]
[ROW][C]0.525[/C][C]0.863372294218235[/C][C]0.0179306594638612[/C][/ROW]
[ROW][C]0.535[/C][C]0.866437021211181[/C][C]0.0180887588131363[/C][/ROW]
[ROW][C]0.545[/C][C]0.869531716616364[/C][C]0.0182426657825205[/C][/ROW]
[ROW][C]0.555[/C][C]0.872654516107592[/C][C]0.018383189674388[/C][/ROW]
[ROW][C]0.565[/C][C]0.87580179617179[/C][C]0.0184986869432896[/C][/ROW]
[ROW][C]0.575[/C][C]0.878967392465903[/C][C]0.0185711418697827[/C][/ROW]
[ROW][C]0.585[/C][C]0.882141993444517[/C][C]0.0185807007579698[/C][/ROW]
[ROW][C]0.595[/C][C]0.885312799758644[/C][C]0.0185049726254956[/C][/ROW]
[ROW][C]0.605[/C][C]0.8884635299826[/C][C]0.0183201309933662[/C][/ROW]
[ROW][C]0.615[/C][C]0.89157482889246[/C][C]0.0180089438351744[/C][/ROW]
[ROW][C]0.625[/C][C]0.894625095646105[/C][C]0.0175555885089826[/C][/ROW]
[ROW][C]0.635[/C][C]0.897591701314628[/C][C]0.0169579792264604[/C][/ROW]
[ROW][C]0.645[/C][C]0.900452518840171[/C][C]0.016221689059496[/C][/ROW]
[ROW][C]0.655[/C][C]0.903187656329495[/C][C]0.0153625193885056[/C][/ROW]
[ROW][C]0.665[/C][C]0.905781276922511[/C][C]0.0144091565224269[/C][/ROW]
[ROW][C]0.675[/C][C]0.908223408409308[/C][C]0.0133979903424574[/C][/ROW]
[ROW][C]0.685[/C][C]0.910511685883681[/C][C]0.0123737931848146[/C][/ROW]
[ROW][C]0.695[/C][C]0.912653012634843[/C][C]0.0113881931568975[/C][/ROW]
[ROW][C]0.705[/C][C]0.914665142251052[/C][C]0.010499492187601[/C][/ROW]
[ROW][C]0.715[/C][C]0.916578152256108[/C][C]0.0097739816098994[/C][/ROW]
[ROW][C]0.725[/C][C]0.918435679937233[/C][C]0.00928730737487212[/C][/ROW]
[ROW][C]0.735[/C][C]0.920295628327405[/C][C]0.00912687379165225[/C][/ROW]
[ROW][C]0.745[/C][C]0.92222985782411[/C][C]0.00937991935349045[/C][/ROW]
[ROW][C]0.755[/C][C]0.924322221944859[/C][C]0.0101152973121683[/C][/ROW]
[ROW][C]0.765[/C][C]0.926664274353886[/C][C]0.0113594068413920[/C][/ROW]
[ROW][C]0.775[/C][C]0.92934816336489[/C][C]0.0130812991346697[/C][/ROW]
[ROW][C]0.785[/C][C]0.932456706362175[/C][C]0.0151890292663688[/C][/ROW]
[ROW][C]0.795[/C][C]0.936051398861907[/C][C]0.0175302199442381[/C][/ROW]
[ROW][C]0.805[/C][C]0.940160057569823[/C][C]0.0198976618965236[/C][/ROW]
[ROW][C]0.815[/C][C]0.94476670404746[/C][C]0.0220458127317437[/C][/ROW]
[ROW][C]0.825[/C][C]0.949806851808026[/C][C]0.0237213485977124[/C][/ROW]
[ROW][C]0.835[/C][C]0.955171219951632[/C][C]0.0247034605007399[/C][/ROW]
[ROW][C]0.845[/C][C]0.960719779538148[/C][C]0.0248523903562826[/C][/ROW]
[ROW][C]0.855[/C][C]0.96630583645170[/C][C]0.0241546036192985[/C][/ROW]
[ROW][C]0.865[/C][C]0.971806741818899[/C][C]0.0227469681506455[/C][/ROW]
[ROW][C]0.875[/C][C]0.97715437020949[/C][C]0.0209219326696186[/C][/ROW]
[ROW][C]0.885[/C][C]0.982355802488656[/C][C]0.0190973891840825[/C][/ROW]
[ROW][C]0.895[/C][C]0.987494359542672[/C][C]0.0177293033734479[/C][/ROW]
[ROW][C]0.905[/C][C]0.992705330801222[/C][C]0.0171442690578422[/C][/ROW]
[ROW][C]0.915[/C][C]0.998131156011132[/C][C]0.0173115013737246[/C][/ROW]
[ROW][C]0.925[/C][C]1.00387701158857[/C][C]0.0177851170554244[/C][/ROW]
[ROW][C]0.935[/C][C]1.01000377894381[/C][C]0.0179413450399507[/C][/ROW]
[ROW][C]0.945[/C][C]1.01659505222770[/C][C]0.0173787755922235[/C][/ROW]
[ROW][C]0.955[/C][C]1.0238891883022[/C][C]0.0163837185740052[/C][/ROW]
[ROW][C]0.965[/C][C]1.03234912211309[/C][C]0.0163772628548821[/C][/ROW]
[ROW][C]0.975[/C][C]1.04239051104476[/C][C]0.0194346308279013[/C][/ROW]
[ROW][C]0.985[/C][C]1.05353209164506[/C][C]0.0258175092461661[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6098&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6098&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
0.0050.6862042538958430.027525564809375
0.0150.695328516391510.0237478877648397
0.0250.7060633492676350.0198465789395556
0.0350.7159516138801480.0166215258042675
0.0450.7240586011050520.0140703182613428
0.0550.7304356673923330.0121149909956676
0.0650.7354903216164830.0108066015941988
0.0750.7396534689499870.0101793297879612
0.0850.7432707621623240.0101353192153298
0.0950.746587974160870.0104732151930134
0.1050.7497633548654090.0109874944000426
0.1150.7528861846412480.011526196109277
0.1250.7559965042386430.0120023630740173
0.1350.7591036088246720.0123794859228747
0.1450.7622013262409720.0126567941304853
0.1550.7652790224013810.0128558221765743
0.1650.7683283114925050.0130144421835237
0.1750.7713461086584590.0131688330441186
0.1850.7743349159566050.0133498482950950
0.1950.777301253686970.0135731710298020
0.2050.7802530850668450.0138365601431088
0.2150.7831969876957030.0141174358517317
0.2250.786135699627410.0143846557028513
0.2350.7890665023981270.0145991622719790
0.2450.7919807046427040.0147237824554493
0.2550.7948642798915040.0147280297587216
0.2650.7976995183296780.0145984773988804
0.2750.8004673991442170.0143309797285947
0.2850.8031502944576240.0139450299536084
0.2950.8057345858297930.0134705795297250
0.3050.8082128090538750.0129541498747749
0.3150.8105850329096770.0124458847090164
0.3250.8128593053962450.0120017778516538
0.3350.8150511442774570.0116707726396800
0.3450.81718218386970.0114911913408600
0.3550.8192781965333820.0114847599378424
0.3650.8213667719718760.0116540564540377
0.3750.823474955628730.0119849795430896
0.3850.8256271228842560.0124467534622199
0.3950.827843308029950.0130032727209724
0.4050.830138128753730.0136141559586320
0.4150.8325203609755270.014239355935933
0.4250.8349931366817240.0148447068575053
0.4350.8375546679228530.0154054385698285
0.4450.840199349815240.0159026498787941
0.4550.842919068074370.0163293765922274
0.4650.845704533386040.0166846565470461
0.4750.848546483872970.016977358744869
0.4850.8514366331430270.0172187792349239
0.4950.8543682876468240.0174228142653241
0.5050.8573366050283960.0176023510894760
0.5150.860338507314890.0177692702667512
0.5250.8633722942182350.0179306594638612
0.5350.8664370212111810.0180887588131363
0.5450.8695317166163640.0182426657825205
0.5550.8726545161075920.018383189674388
0.5650.875801796171790.0184986869432896
0.5750.8789673924659030.0185711418697827
0.5850.8821419934445170.0185807007579698
0.5950.8853127997586440.0185049726254956
0.6050.88846352998260.0183201309933662
0.6150.891574828892460.0180089438351744
0.6250.8946250956461050.0175555885089826
0.6350.8975917013146280.0169579792264604
0.6450.9004525188401710.016221689059496
0.6550.9031876563294950.0153625193885056
0.6650.9057812769225110.0144091565224269
0.6750.9082234084093080.0133979903424574
0.6850.9105116858836810.0123737931848146
0.6950.9126530126348430.0113881931568975
0.7050.9146651422510520.010499492187601
0.7150.9165781522561080.0097739816098994
0.7250.9184356799372330.00928730737487212
0.7350.9202956283274050.00912687379165225
0.7450.922229857824110.00937991935349045
0.7550.9243222219448590.0101152973121683
0.7650.9266642743538860.0113594068413920
0.7750.929348163364890.0130812991346697
0.7850.9324567063621750.0151890292663688
0.7950.9360513988619070.0175302199442381
0.8050.9401600575698230.0198976618965236
0.8150.944766704047460.0220458127317437
0.8250.9498068518080260.0237213485977124
0.8350.9551712199516320.0247034605007399
0.8450.9607197795381480.0248523903562826
0.8550.966305836451700.0241546036192985
0.8650.9718067418188990.0227469681506455
0.8750.977154370209490.0209219326696186
0.8850.9823558024886560.0190973891840825
0.8950.9874943595426720.0177293033734479
0.9050.9927053308012220.0171442690578422
0.9150.9981311560111320.0173115013737246
0.9251.003877011588570.0177851170554244
0.9351.010003778943810.0179413450399507
0.9451.016595052227700.0173787755922235
0.9551.02388918830220.0163837185740052
0.9651.032349122113090.0163772628548821
0.9751.042390511044760.0194346308279013
0.9851.053532091645060.0258175092461661


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.005 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.005 ; 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')