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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 computationSun, 05 Oct 2014 12:47:04 +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/2014/Oct/05/t1412509736bymkl25b0ezj8hj.htm/, Retrieved Sat, 11 May 2024 11:45:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238729, Retrieved Sat, 11 May 2024 11:45:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact75

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] [Decielen Levendge...] [2014-10-05 11:47:04] [8bdab0fd537d5455eaa21dec7dfb1324] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
15071
14236
14771
14804
15597
15418
16903
16350
16393
15685
14556
14850
15391
13704
15409
15098
15254
15522
16669
16238
16246
15424
14952
15008
14929
13905
14994
14753
15031
15386
16160
16116
16219
16064
15436
15404
15112
14119
14775
14289
15121
15371
15782
16104
15674
15105
14223
14385
14558
13804
14672
14244
15089
14580
15218
15696
15129
15110
14204
13655
14534
12746
14074
13699
14184
14110
15820
15362
14993
14437
13694
13688

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238729&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238729&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238729&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0112975.1962261841683.022005846368
0.0213260.9976543268416.176279855699
0.0313480.1129869797214.734375365171
0.0413609.735720645106.603119617054
0.0513679.591243169874.0020859039793
0.0613722.854956639385.1872693523454
0.0713759.8027112725110.055283082338
0.0813799.2164876723135.434253121528
0.0913843.2122562773155.215897760905
0.113890.7405798863166.385327856023
0.1113939.5761365302168.443667910399
0.1213987.4170717417162.805575991745
0.1314032.4765033251152.105903593221
0.1414073.7322396995139.339627838579
0.1514110.9327834446127.236048155092
0.1614144.4507307245117.873485636104
0.1714175.0681396335112.479444882606
0.1814203.7583318327111.416154336359
0.1914231.5023728938114.29990625578
0.214259.1559433675120.243197301279
0.2114287.3680342591128.063929046803
0.2214316.5461088599136.560640089206
0.2314346.8598309207144.71774526421
0.2414378.2742552911151.752389499652
0.2514410.6022567635157.160317677865
0.2614443.565189269160.795171716705
0.2714476.8511575256162.74592655706
0.2814510.1623544022163.276514729905
0.2914543.2464180901162.737720630509
0.314575.910800248161.466663845131
0.3114608.0226218827159.706467368694
0.3214639.4986205097157.656921275175
0.3314670.2903070691155.394931259313
0.3414700.3686503276152.907364025412
0.3514729.7111137657150.212045328287
0.3614758.2923375694147.254775277689
0.3714786.0786302466143.968136854966
0.3814813.0258515709140.300028246703
0.3914839.0801195716136.214377260129
0.414864.1808319598131.654098636586
0.4114888.2655557706126.610039443448
0.4214911.2763174948121.132761391548
0.4314933.1667430902115.322056590021
0.4414953.9094340787109.250992273865
0.4514973.5029871182103.153245231136
0.4614991.978169431997.2044831867348
0.4715009.402884056191.6262290494024
0.4815025.885604211486.670914995998
0.4915041.576865824382.5870122251408
0.515056.668200931779.6269882163595
0.5115071.387680518178.024927658554
0.5215085.991177395577.9676895674692
0.5315100.748715613779.5513455968426
0.5415115.92592439982.7448988724285
0.5515131.761617883187.2727475623148
0.5615148.443695628192.7583907053759
0.5715166.086617856898.661623902576
0.5815184.7143347167104.388531647651
0.5915204.2524779956109.276919961656
0.615224.5327312655112.871026463254
0.6115245.3106430906114.702025825946
0.6215266.2959902777114.596416670163
0.6315287.1925282006112.622112221742
0.6415307.7420321716109.064355030253
0.6515327.7663424342104.482062166232
0.6615347.200951332499.6017848048812
0.6715366.114612163195.2662413272966
0.6815384.711416607392.3070874058374
0.6915403.314527991891.4409210933383
0.715422.333882235393.0886947389344
0.7115442.223175977197.3342545942849
0.7215463.4337591162103.824224722119
0.7315486.3740001885112.041099768803
0.7415511.381734395121.343972527078
0.7515538.7142549059131.141463088388
0.7615568.5552404167141.010592803312
0.7715601.0320742315150.728449172194
0.7815636.2320342842160.271780153767
0.7915674.2040612758169.656621048529
0.815714.9360923518178.743827507038
0.8115758.3066836244187.111047496484
0.8215804.0219406478193.921130209046
0.8315851.5603914035198.014330103628
0.8415900.1540115995198.196017550505
0.8515948.8290649843193.569977435243
0.8615996.5155700718183.904331084934
0.8716042.2140210865169.794027878701
0.8816085.1911481855152.664590566427
0.8916125.1714179674134.562990464944
0.916162.5015789463117.844984494378
0.9116198.2892555642104.930574347167
0.9216234.543520214498.1498067653911
0.9316274.353930326399.6013567245217
0.9416322.0927628283111.092951254008
0.9516383.4504305858133.776505533515
0.9616464.7441633943166.030347294822
0.9716570.3167133971199.755226716831
0.9816696.296559489222.067065536799
0.9916821.0166162079228.89991118189

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 12975.1962261841 & 683.022005846368 \tabularnewline
0.02 & 13260.9976543268 & 416.176279855699 \tabularnewline
0.03 & 13480.1129869797 & 214.734375365171 \tabularnewline
0.04 & 13609.735720645 & 106.603119617054 \tabularnewline
0.05 & 13679.5912431698 & 74.0020859039793 \tabularnewline
0.06 & 13722.8549566393 & 85.1872693523454 \tabularnewline
0.07 & 13759.8027112725 & 110.055283082338 \tabularnewline
0.08 & 13799.2164876723 & 135.434253121528 \tabularnewline
0.09 & 13843.2122562773 & 155.215897760905 \tabularnewline
0.1 & 13890.7405798863 & 166.385327856023 \tabularnewline
0.11 & 13939.5761365302 & 168.443667910399 \tabularnewline
0.12 & 13987.4170717417 & 162.805575991745 \tabularnewline
0.13 & 14032.4765033251 & 152.105903593221 \tabularnewline
0.14 & 14073.7322396995 & 139.339627838579 \tabularnewline
0.15 & 14110.9327834446 & 127.236048155092 \tabularnewline
0.16 & 14144.4507307245 & 117.873485636104 \tabularnewline
0.17 & 14175.0681396335 & 112.479444882606 \tabularnewline
0.18 & 14203.7583318327 & 111.416154336359 \tabularnewline
0.19 & 14231.5023728938 & 114.29990625578 \tabularnewline
0.2 & 14259.1559433675 & 120.243197301279 \tabularnewline
0.21 & 14287.3680342591 & 128.063929046803 \tabularnewline
0.22 & 14316.5461088599 & 136.560640089206 \tabularnewline
0.23 & 14346.8598309207 & 144.71774526421 \tabularnewline
0.24 & 14378.2742552911 & 151.752389499652 \tabularnewline
0.25 & 14410.6022567635 & 157.160317677865 \tabularnewline
0.26 & 14443.565189269 & 160.795171716705 \tabularnewline
0.27 & 14476.8511575256 & 162.74592655706 \tabularnewline
0.28 & 14510.1623544022 & 163.276514729905 \tabularnewline
0.29 & 14543.2464180901 & 162.737720630509 \tabularnewline
0.3 & 14575.910800248 & 161.466663845131 \tabularnewline
0.31 & 14608.0226218827 & 159.706467368694 \tabularnewline
0.32 & 14639.4986205097 & 157.656921275175 \tabularnewline
0.33 & 14670.2903070691 & 155.394931259313 \tabularnewline
0.34 & 14700.3686503276 & 152.907364025412 \tabularnewline
0.35 & 14729.7111137657 & 150.212045328287 \tabularnewline
0.36 & 14758.2923375694 & 147.254775277689 \tabularnewline
0.37 & 14786.0786302466 & 143.968136854966 \tabularnewline
0.38 & 14813.0258515709 & 140.300028246703 \tabularnewline
0.39 & 14839.0801195716 & 136.214377260129 \tabularnewline
0.4 & 14864.1808319598 & 131.654098636586 \tabularnewline
0.41 & 14888.2655557706 & 126.610039443448 \tabularnewline
0.42 & 14911.2763174948 & 121.132761391548 \tabularnewline
0.43 & 14933.1667430902 & 115.322056590021 \tabularnewline
0.44 & 14953.9094340787 & 109.250992273865 \tabularnewline
0.45 & 14973.5029871182 & 103.153245231136 \tabularnewline
0.46 & 14991.9781694319 & 97.2044831867348 \tabularnewline
0.47 & 15009.4028840561 & 91.6262290494024 \tabularnewline
0.48 & 15025.8856042114 & 86.670914995998 \tabularnewline
0.49 & 15041.5768658243 & 82.5870122251408 \tabularnewline
0.5 & 15056.6682009317 & 79.6269882163595 \tabularnewline
0.51 & 15071.3876805181 & 78.024927658554 \tabularnewline
0.52 & 15085.9911773955 & 77.9676895674692 \tabularnewline
0.53 & 15100.7487156137 & 79.5513455968426 \tabularnewline
0.54 & 15115.925924399 & 82.7448988724285 \tabularnewline
0.55 & 15131.7616178831 & 87.2727475623148 \tabularnewline
0.56 & 15148.4436956281 & 92.7583907053759 \tabularnewline
0.57 & 15166.0866178568 & 98.661623902576 \tabularnewline
0.58 & 15184.7143347167 & 104.388531647651 \tabularnewline
0.59 & 15204.2524779956 & 109.276919961656 \tabularnewline
0.6 & 15224.5327312655 & 112.871026463254 \tabularnewline
0.61 & 15245.3106430906 & 114.702025825946 \tabularnewline
0.62 & 15266.2959902777 & 114.596416670163 \tabularnewline
0.63 & 15287.1925282006 & 112.622112221742 \tabularnewline
0.64 & 15307.7420321716 & 109.064355030253 \tabularnewline
0.65 & 15327.7663424342 & 104.482062166232 \tabularnewline
0.66 & 15347.2009513324 & 99.6017848048812 \tabularnewline
0.67 & 15366.1146121631 & 95.2662413272966 \tabularnewline
0.68 & 15384.7114166073 & 92.3070874058374 \tabularnewline
0.69 & 15403.3145279918 & 91.4409210933383 \tabularnewline
0.7 & 15422.3338822353 & 93.0886947389344 \tabularnewline
0.71 & 15442.2231759771 & 97.3342545942849 \tabularnewline
0.72 & 15463.4337591162 & 103.824224722119 \tabularnewline
0.73 & 15486.3740001885 & 112.041099768803 \tabularnewline
0.74 & 15511.381734395 & 121.343972527078 \tabularnewline
0.75 & 15538.7142549059 & 131.141463088388 \tabularnewline
0.76 & 15568.5552404167 & 141.010592803312 \tabularnewline
0.77 & 15601.0320742315 & 150.728449172194 \tabularnewline
0.78 & 15636.2320342842 & 160.271780153767 \tabularnewline
0.79 & 15674.2040612758 & 169.656621048529 \tabularnewline
0.8 & 15714.9360923518 & 178.743827507038 \tabularnewline
0.81 & 15758.3066836244 & 187.111047496484 \tabularnewline
0.82 & 15804.0219406478 & 193.921130209046 \tabularnewline
0.83 & 15851.5603914035 & 198.014330103628 \tabularnewline
0.84 & 15900.1540115995 & 198.196017550505 \tabularnewline
0.85 & 15948.8290649843 & 193.569977435243 \tabularnewline
0.86 & 15996.5155700718 & 183.904331084934 \tabularnewline
0.87 & 16042.2140210865 & 169.794027878701 \tabularnewline
0.88 & 16085.1911481855 & 152.664590566427 \tabularnewline
0.89 & 16125.1714179674 & 134.562990464944 \tabularnewline
0.9 & 16162.5015789463 & 117.844984494378 \tabularnewline
0.91 & 16198.2892555642 & 104.930574347167 \tabularnewline
0.92 & 16234.5435202144 & 98.1498067653911 \tabularnewline
0.93 & 16274.3539303263 & 99.6013567245217 \tabularnewline
0.94 & 16322.0927628283 & 111.092951254008 \tabularnewline
0.95 & 16383.4504305858 & 133.776505533515 \tabularnewline
0.96 & 16464.7441633943 & 166.030347294822 \tabularnewline
0.97 & 16570.3167133971 & 199.755226716831 \tabularnewline
0.98 & 16696.296559489 & 222.067065536799 \tabularnewline
0.99 & 16821.0166162079 & 228.89991118189 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238729&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]12975.1962261841[/C][C]683.022005846368[/C][/ROW]
[ROW][C]0.02[/C][C]13260.9976543268[/C][C]416.176279855699[/C][/ROW]
[ROW][C]0.03[/C][C]13480.1129869797[/C][C]214.734375365171[/C][/ROW]
[ROW][C]0.04[/C][C]13609.735720645[/C][C]106.603119617054[/C][/ROW]
[ROW][C]0.05[/C][C]13679.5912431698[/C][C]74.0020859039793[/C][/ROW]
[ROW][C]0.06[/C][C]13722.8549566393[/C][C]85.1872693523454[/C][/ROW]
[ROW][C]0.07[/C][C]13759.8027112725[/C][C]110.055283082338[/C][/ROW]
[ROW][C]0.08[/C][C]13799.2164876723[/C][C]135.434253121528[/C][/ROW]
[ROW][C]0.09[/C][C]13843.2122562773[/C][C]155.215897760905[/C][/ROW]
[ROW][C]0.1[/C][C]13890.7405798863[/C][C]166.385327856023[/C][/ROW]
[ROW][C]0.11[/C][C]13939.5761365302[/C][C]168.443667910399[/C][/ROW]
[ROW][C]0.12[/C][C]13987.4170717417[/C][C]162.805575991745[/C][/ROW]
[ROW][C]0.13[/C][C]14032.4765033251[/C][C]152.105903593221[/C][/ROW]
[ROW][C]0.14[/C][C]14073.7322396995[/C][C]139.339627838579[/C][/ROW]
[ROW][C]0.15[/C][C]14110.9327834446[/C][C]127.236048155092[/C][/ROW]
[ROW][C]0.16[/C][C]14144.4507307245[/C][C]117.873485636104[/C][/ROW]
[ROW][C]0.17[/C][C]14175.0681396335[/C][C]112.479444882606[/C][/ROW]
[ROW][C]0.18[/C][C]14203.7583318327[/C][C]111.416154336359[/C][/ROW]
[ROW][C]0.19[/C][C]14231.5023728938[/C][C]114.29990625578[/C][/ROW]
[ROW][C]0.2[/C][C]14259.1559433675[/C][C]120.243197301279[/C][/ROW]
[ROW][C]0.21[/C][C]14287.3680342591[/C][C]128.063929046803[/C][/ROW]
[ROW][C]0.22[/C][C]14316.5461088599[/C][C]136.560640089206[/C][/ROW]
[ROW][C]0.23[/C][C]14346.8598309207[/C][C]144.71774526421[/C][/ROW]
[ROW][C]0.24[/C][C]14378.2742552911[/C][C]151.752389499652[/C][/ROW]
[ROW][C]0.25[/C][C]14410.6022567635[/C][C]157.160317677865[/C][/ROW]
[ROW][C]0.26[/C][C]14443.565189269[/C][C]160.795171716705[/C][/ROW]
[ROW][C]0.27[/C][C]14476.8511575256[/C][C]162.74592655706[/C][/ROW]
[ROW][C]0.28[/C][C]14510.1623544022[/C][C]163.276514729905[/C][/ROW]
[ROW][C]0.29[/C][C]14543.2464180901[/C][C]162.737720630509[/C][/ROW]
[ROW][C]0.3[/C][C]14575.910800248[/C][C]161.466663845131[/C][/ROW]
[ROW][C]0.31[/C][C]14608.0226218827[/C][C]159.706467368694[/C][/ROW]
[ROW][C]0.32[/C][C]14639.4986205097[/C][C]157.656921275175[/C][/ROW]
[ROW][C]0.33[/C][C]14670.2903070691[/C][C]155.394931259313[/C][/ROW]
[ROW][C]0.34[/C][C]14700.3686503276[/C][C]152.907364025412[/C][/ROW]
[ROW][C]0.35[/C][C]14729.7111137657[/C][C]150.212045328287[/C][/ROW]
[ROW][C]0.36[/C][C]14758.2923375694[/C][C]147.254775277689[/C][/ROW]
[ROW][C]0.37[/C][C]14786.0786302466[/C][C]143.968136854966[/C][/ROW]
[ROW][C]0.38[/C][C]14813.0258515709[/C][C]140.300028246703[/C][/ROW]
[ROW][C]0.39[/C][C]14839.0801195716[/C][C]136.214377260129[/C][/ROW]
[ROW][C]0.4[/C][C]14864.1808319598[/C][C]131.654098636586[/C][/ROW]
[ROW][C]0.41[/C][C]14888.2655557706[/C][C]126.610039443448[/C][/ROW]
[ROW][C]0.42[/C][C]14911.2763174948[/C][C]121.132761391548[/C][/ROW]
[ROW][C]0.43[/C][C]14933.1667430902[/C][C]115.322056590021[/C][/ROW]
[ROW][C]0.44[/C][C]14953.9094340787[/C][C]109.250992273865[/C][/ROW]
[ROW][C]0.45[/C][C]14973.5029871182[/C][C]103.153245231136[/C][/ROW]
[ROW][C]0.46[/C][C]14991.9781694319[/C][C]97.2044831867348[/C][/ROW]
[ROW][C]0.47[/C][C]15009.4028840561[/C][C]91.6262290494024[/C][/ROW]
[ROW][C]0.48[/C][C]15025.8856042114[/C][C]86.670914995998[/C][/ROW]
[ROW][C]0.49[/C][C]15041.5768658243[/C][C]82.5870122251408[/C][/ROW]
[ROW][C]0.5[/C][C]15056.6682009317[/C][C]79.6269882163595[/C][/ROW]
[ROW][C]0.51[/C][C]15071.3876805181[/C][C]78.024927658554[/C][/ROW]
[ROW][C]0.52[/C][C]15085.9911773955[/C][C]77.9676895674692[/C][/ROW]
[ROW][C]0.53[/C][C]15100.7487156137[/C][C]79.5513455968426[/C][/ROW]
[ROW][C]0.54[/C][C]15115.925924399[/C][C]82.7448988724285[/C][/ROW]
[ROW][C]0.55[/C][C]15131.7616178831[/C][C]87.2727475623148[/C][/ROW]
[ROW][C]0.56[/C][C]15148.4436956281[/C][C]92.7583907053759[/C][/ROW]
[ROW][C]0.57[/C][C]15166.0866178568[/C][C]98.661623902576[/C][/ROW]
[ROW][C]0.58[/C][C]15184.7143347167[/C][C]104.388531647651[/C][/ROW]
[ROW][C]0.59[/C][C]15204.2524779956[/C][C]109.276919961656[/C][/ROW]
[ROW][C]0.6[/C][C]15224.5327312655[/C][C]112.871026463254[/C][/ROW]
[ROW][C]0.61[/C][C]15245.3106430906[/C][C]114.702025825946[/C][/ROW]
[ROW][C]0.62[/C][C]15266.2959902777[/C][C]114.596416670163[/C][/ROW]
[ROW][C]0.63[/C][C]15287.1925282006[/C][C]112.622112221742[/C][/ROW]
[ROW][C]0.64[/C][C]15307.7420321716[/C][C]109.064355030253[/C][/ROW]
[ROW][C]0.65[/C][C]15327.7663424342[/C][C]104.482062166232[/C][/ROW]
[ROW][C]0.66[/C][C]15347.2009513324[/C][C]99.6017848048812[/C][/ROW]
[ROW][C]0.67[/C][C]15366.1146121631[/C][C]95.2662413272966[/C][/ROW]
[ROW][C]0.68[/C][C]15384.7114166073[/C][C]92.3070874058374[/C][/ROW]
[ROW][C]0.69[/C][C]15403.3145279918[/C][C]91.4409210933383[/C][/ROW]
[ROW][C]0.7[/C][C]15422.3338822353[/C][C]93.0886947389344[/C][/ROW]
[ROW][C]0.71[/C][C]15442.2231759771[/C][C]97.3342545942849[/C][/ROW]
[ROW][C]0.72[/C][C]15463.4337591162[/C][C]103.824224722119[/C][/ROW]
[ROW][C]0.73[/C][C]15486.3740001885[/C][C]112.041099768803[/C][/ROW]
[ROW][C]0.74[/C][C]15511.381734395[/C][C]121.343972527078[/C][/ROW]
[ROW][C]0.75[/C][C]15538.7142549059[/C][C]131.141463088388[/C][/ROW]
[ROW][C]0.76[/C][C]15568.5552404167[/C][C]141.010592803312[/C][/ROW]
[ROW][C]0.77[/C][C]15601.0320742315[/C][C]150.728449172194[/C][/ROW]
[ROW][C]0.78[/C][C]15636.2320342842[/C][C]160.271780153767[/C][/ROW]
[ROW][C]0.79[/C][C]15674.2040612758[/C][C]169.656621048529[/C][/ROW]
[ROW][C]0.8[/C][C]15714.9360923518[/C][C]178.743827507038[/C][/ROW]
[ROW][C]0.81[/C][C]15758.3066836244[/C][C]187.111047496484[/C][/ROW]
[ROW][C]0.82[/C][C]15804.0219406478[/C][C]193.921130209046[/C][/ROW]
[ROW][C]0.83[/C][C]15851.5603914035[/C][C]198.014330103628[/C][/ROW]
[ROW][C]0.84[/C][C]15900.1540115995[/C][C]198.196017550505[/C][/ROW]
[ROW][C]0.85[/C][C]15948.8290649843[/C][C]193.569977435243[/C][/ROW]
[ROW][C]0.86[/C][C]15996.5155700718[/C][C]183.904331084934[/C][/ROW]
[ROW][C]0.87[/C][C]16042.2140210865[/C][C]169.794027878701[/C][/ROW]
[ROW][C]0.88[/C][C]16085.1911481855[/C][C]152.664590566427[/C][/ROW]
[ROW][C]0.89[/C][C]16125.1714179674[/C][C]134.562990464944[/C][/ROW]
[ROW][C]0.9[/C][C]16162.5015789463[/C][C]117.844984494378[/C][/ROW]
[ROW][C]0.91[/C][C]16198.2892555642[/C][C]104.930574347167[/C][/ROW]
[ROW][C]0.92[/C][C]16234.5435202144[/C][C]98.1498067653911[/C][/ROW]
[ROW][C]0.93[/C][C]16274.3539303263[/C][C]99.6013567245217[/C][/ROW]
[ROW][C]0.94[/C][C]16322.0927628283[/C][C]111.092951254008[/C][/ROW]
[ROW][C]0.95[/C][C]16383.4504305858[/C][C]133.776505533515[/C][/ROW]
[ROW][C]0.96[/C][C]16464.7441633943[/C][C]166.030347294822[/C][/ROW]
[ROW][C]0.97[/C][C]16570.3167133971[/C][C]199.755226716831[/C][/ROW]
[ROW][C]0.98[/C][C]16696.296559489[/C][C]222.067065536799[/C][/ROW]
[ROW][C]0.99[/C][C]16821.0166162079[/C][C]228.89991118189[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238729&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238729&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
0.0112975.1962261841683.022005846368
0.0213260.9976543268416.176279855699
0.0313480.1129869797214.734375365171
0.0413609.735720645106.603119617054
0.0513679.591243169874.0020859039793
0.0613722.854956639385.1872693523454
0.0713759.8027112725110.055283082338
0.0813799.2164876723135.434253121528
0.0913843.2122562773155.215897760905
0.113890.7405798863166.385327856023
0.1113939.5761365302168.443667910399
0.1213987.4170717417162.805575991745
0.1314032.4765033251152.105903593221
0.1414073.7322396995139.339627838579
0.1514110.9327834446127.236048155092
0.1614144.4507307245117.873485636104
0.1714175.0681396335112.479444882606
0.1814203.7583318327111.416154336359
0.1914231.5023728938114.29990625578
0.214259.1559433675120.243197301279
0.2114287.3680342591128.063929046803
0.2214316.5461088599136.560640089206
0.2314346.8598309207144.71774526421
0.2414378.2742552911151.752389499652
0.2514410.6022567635157.160317677865
0.2614443.565189269160.795171716705
0.2714476.8511575256162.74592655706
0.2814510.1623544022163.276514729905
0.2914543.2464180901162.737720630509
0.314575.910800248161.466663845131
0.3114608.0226218827159.706467368694
0.3214639.4986205097157.656921275175
0.3314670.2903070691155.394931259313
0.3414700.3686503276152.907364025412
0.3514729.7111137657150.212045328287
0.3614758.2923375694147.254775277689
0.3714786.0786302466143.968136854966
0.3814813.0258515709140.300028246703
0.3914839.0801195716136.214377260129
0.414864.1808319598131.654098636586
0.4114888.2655557706126.610039443448
0.4214911.2763174948121.132761391548
0.4314933.1667430902115.322056590021
0.4414953.9094340787109.250992273865
0.4514973.5029871182103.153245231136
0.4614991.978169431997.2044831867348
0.4715009.402884056191.6262290494024
0.4815025.885604211486.670914995998
0.4915041.576865824382.5870122251408
0.515056.668200931779.6269882163595
0.5115071.387680518178.024927658554
0.5215085.991177395577.9676895674692
0.5315100.748715613779.5513455968426
0.5415115.92592439982.7448988724285
0.5515131.761617883187.2727475623148
0.5615148.443695628192.7583907053759
0.5715166.086617856898.661623902576
0.5815184.7143347167104.388531647651
0.5915204.2524779956109.276919961656
0.615224.5327312655112.871026463254
0.6115245.3106430906114.702025825946
0.6215266.2959902777114.596416670163
0.6315287.1925282006112.622112221742
0.6415307.7420321716109.064355030253
0.6515327.7663424342104.482062166232
0.6615347.200951332499.6017848048812
0.6715366.114612163195.2662413272966
0.6815384.711416607392.3070874058374
0.6915403.314527991891.4409210933383
0.715422.333882235393.0886947389344
0.7115442.223175977197.3342545942849
0.7215463.4337591162103.824224722119
0.7315486.3740001885112.041099768803
0.7415511.381734395121.343972527078
0.7515538.7142549059131.141463088388
0.7615568.5552404167141.010592803312
0.7715601.0320742315150.728449172194
0.7815636.2320342842160.271780153767
0.7915674.2040612758169.656621048529
0.815714.9360923518178.743827507038
0.8115758.3066836244187.111047496484
0.8215804.0219406478193.921130209046
0.8315851.5603914035198.014330103628
0.8415900.1540115995198.196017550505
0.8515948.8290649843193.569977435243
0.8615996.5155700718183.904331084934
0.8716042.2140210865169.794027878701
0.8816085.1911481855152.664590566427
0.8916125.1714179674134.562990464944
0.916162.5015789463117.844984494378
0.9116198.2892555642104.930574347167
0.9216234.543520214498.1498067653911
0.9316274.353930326399.6013567245217
0.9416322.0927628283111.092951254008
0.9516383.4504305858133.776505533515
0.9616464.7441633943166.030347294822
0.9716570.3167133971199.755226716831
0.9816696.296559489222.067065536799
0.9916821.0166162079228.89991118189


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 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')