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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 computationSat, 04 Oct 2014 18:02:32 +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/04/t1412442177ina44jnxjcg9yi5.htm/, Retrieved Mon, 13 May 2024 05:13:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238628, Retrieved Mon, 13 May 2024 05:13:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact99

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] [] [2014-10-04 17:02:32] [d4b037465b17855a5e62fa4428b30753] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1,464
1,474
1,479
1,517
1,575
1,627
1,613
1,558
1,545
1,406
1,269
1,191
1,231
1,276
1,281
1,312
1,363
1,419
1,374
1,422
1,378
1,38
1,409
1,398
1,445
1,452
1,506
1,531
1,524
1,52
1,499
1,491
1,496
1,493
1,507
1,569
1,593
1,597
1,633
1,686
1,683
1,646
1,658
1,636
1,67
1,634
1,618
1,622
1,688
1,723
1,776
1,809
1,754
1,714
1,733
1,783
1,818
1,81
1,764
1,73
1,742
1,785
1,769
1,743
1,721
1,73
1,753
1,764
1,758
1,7
1,678
1,688

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'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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238628&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238628&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238628&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.204299139320830.0373530546120171
0.021.224237623808140.0346867212076327
0.031.244504966275560.0322259959802699
0.041.262521804126220.0315130939054395
0.051.278509526279140.0336972212053086
0.061.293485867526370.0375731864497716
0.071.308138543756280.0409050984083796
0.081.322562076892460.0421947750545892
0.091.336442173620510.0411225868733009
0.11.349357949621910.0382764075431087
0.111.361012996012790.0346508965623186
0.121.371330721123290.0312011525467269
0.131.380434936183540.0285596722674813
0.141.388571937324530.0269601680501399
0.151.396025796032620.0263246225543741
0.161.403056046924220.0264246560310537
0.171.409864870716440.0269976181078667
0.181.416587830451640.0278072143484904
0.191.423298482519980.0286531324941688
0.21.430019022009540.0293700853355321
0.211.436732574440190.0298314349440536
0.221.443395429976360.0299489007215808
0.231.449948764786370.0296912332212299
0.241.456329579274490.0290725762996992
0.251.462480362177190.0281479444490686
0.261.468356844706130.0270020044049259
0.271.473933315743890.0257470177387129
0.281.479205274431810.0244967787677863
0.291.484189557052140.0233647490295488
0.31.488922364660890.0224538130962105
0.311.493455773811810.0218379406584929
0.321.497853334080180.0215793922407494
0.331.502185279813440.0217026960271594
0.341.506523758622730.0222107723050746
0.351.510938349405450.0230767834623731
0.361.515492038422150.0242512557532403
0.371.520237757564770.0256691667786313
0.381.525215564111630.0272508262027873
0.391.530450544097340.0289082422217632
0.41.535951533527090.0305478626648958
0.411.541710754167780.0320783851397286
0.421.5477044399370.0334113347245095
0.431.553894481220740.0344738152053691
0.441.560231042225030.035209524392941
0.451.566656021647620.0355848648621172
0.461.57310714265490.0355832181904163
0.471.579522385735110.0352216671162592
0.481.585844425180780.0345338127736674
0.491.592024701318110.0335813178152175
0.51.598026759710670.0324389974065567
0.511.603828519962590.0311972277305581
0.521.609423206234260.0299474482511442
0.531.614818783990030.0287788615332394
0.541.620035902416910.0277671986527278
0.551.625104529064210.0269589753412469
0.561.630059659432760.0263815236575925
0.571.634936654453990.0260173656059771
0.581.639766861805250.0258287943275357
0.591.644574175360860.0257495102157135
0.61.64937305926730.0257082265487297
0.611.654168314395280.0256420467896593
0.621.658956532786640.0254998048533606
0.631.66372883703070.0252557740548661
0.641.668474219729540.0249133515412908
0.651.673182662639990.0244962999432005
0.661.677847276845280.0240407242496521
0.671.682464967247940.0235833787844816
0.681.687035532517280.0231481358092171
0.691.691559561767640.0227365220732009
0.71.696035853754790.0223315803182466
0.711.700459247976870.0218961346230325
0.721.704819655520660.0213885651891861
0.731.709102724426360.0207776595786177
0.741.713292065287850.0200535397780054
0.751.717372451860280.0192288193877549
0.761.721333065179770.0183400813628015
0.771.725169792064890.0174382866073945
0.781.728885855969850.016571701666977
0.791.732490580185580.0157787246904736
0.81.735996702380340.0150718678715141
0.811.739417178482390.0144400789280626
0.821.742762660445050.0138557433527776
0.831.746040713415010.013285852908133
0.841.749257368455490.0127122348339253
0.851.752420911371380.0121353044384717
0.861.755547103480960.0115863725513553
0.871.758664598919610.0111156585711639
0.881.761819435793310.0107890814149443
0.891.765078176305670.0106644672134859
0.91.768529966600090.0107817183552626
0.911.772286970813110.0111649359277169
0.921.776478593461090.0118340037071275
0.931.781228605566810.0127783443501794
0.941.786603602437250.0138338646302023
0.951.792539860224860.0145189613998966
0.961.798794726210030.0140969109096195
0.971.804982355416420.0121143168476962
0.981.810659106876350.00927606482161257
0.991.815272778686170.00764796556912721

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.20429913932083 & 0.0373530546120171 \tabularnewline
0.02 & 1.22423762380814 & 0.0346867212076327 \tabularnewline
0.03 & 1.24450496627556 & 0.0322259959802699 \tabularnewline
0.04 & 1.26252180412622 & 0.0315130939054395 \tabularnewline
0.05 & 1.27850952627914 & 0.0336972212053086 \tabularnewline
0.06 & 1.29348586752637 & 0.0375731864497716 \tabularnewline
0.07 & 1.30813854375628 & 0.0409050984083796 \tabularnewline
0.08 & 1.32256207689246 & 0.0421947750545892 \tabularnewline
0.09 & 1.33644217362051 & 0.0411225868733009 \tabularnewline
0.1 & 1.34935794962191 & 0.0382764075431087 \tabularnewline
0.11 & 1.36101299601279 & 0.0346508965623186 \tabularnewline
0.12 & 1.37133072112329 & 0.0312011525467269 \tabularnewline
0.13 & 1.38043493618354 & 0.0285596722674813 \tabularnewline
0.14 & 1.38857193732453 & 0.0269601680501399 \tabularnewline
0.15 & 1.39602579603262 & 0.0263246225543741 \tabularnewline
0.16 & 1.40305604692422 & 0.0264246560310537 \tabularnewline
0.17 & 1.40986487071644 & 0.0269976181078667 \tabularnewline
0.18 & 1.41658783045164 & 0.0278072143484904 \tabularnewline
0.19 & 1.42329848251998 & 0.0286531324941688 \tabularnewline
0.2 & 1.43001902200954 & 0.0293700853355321 \tabularnewline
0.21 & 1.43673257444019 & 0.0298314349440536 \tabularnewline
0.22 & 1.44339542997636 & 0.0299489007215808 \tabularnewline
0.23 & 1.44994876478637 & 0.0296912332212299 \tabularnewline
0.24 & 1.45632957927449 & 0.0290725762996992 \tabularnewline
0.25 & 1.46248036217719 & 0.0281479444490686 \tabularnewline
0.26 & 1.46835684470613 & 0.0270020044049259 \tabularnewline
0.27 & 1.47393331574389 & 0.0257470177387129 \tabularnewline
0.28 & 1.47920527443181 & 0.0244967787677863 \tabularnewline
0.29 & 1.48418955705214 & 0.0233647490295488 \tabularnewline
0.3 & 1.48892236466089 & 0.0224538130962105 \tabularnewline
0.31 & 1.49345577381181 & 0.0218379406584929 \tabularnewline
0.32 & 1.49785333408018 & 0.0215793922407494 \tabularnewline
0.33 & 1.50218527981344 & 0.0217026960271594 \tabularnewline
0.34 & 1.50652375862273 & 0.0222107723050746 \tabularnewline
0.35 & 1.51093834940545 & 0.0230767834623731 \tabularnewline
0.36 & 1.51549203842215 & 0.0242512557532403 \tabularnewline
0.37 & 1.52023775756477 & 0.0256691667786313 \tabularnewline
0.38 & 1.52521556411163 & 0.0272508262027873 \tabularnewline
0.39 & 1.53045054409734 & 0.0289082422217632 \tabularnewline
0.4 & 1.53595153352709 & 0.0305478626648958 \tabularnewline
0.41 & 1.54171075416778 & 0.0320783851397286 \tabularnewline
0.42 & 1.547704439937 & 0.0334113347245095 \tabularnewline
0.43 & 1.55389448122074 & 0.0344738152053691 \tabularnewline
0.44 & 1.56023104222503 & 0.035209524392941 \tabularnewline
0.45 & 1.56665602164762 & 0.0355848648621172 \tabularnewline
0.46 & 1.5731071426549 & 0.0355832181904163 \tabularnewline
0.47 & 1.57952238573511 & 0.0352216671162592 \tabularnewline
0.48 & 1.58584442518078 & 0.0345338127736674 \tabularnewline
0.49 & 1.59202470131811 & 0.0335813178152175 \tabularnewline
0.5 & 1.59802675971067 & 0.0324389974065567 \tabularnewline
0.51 & 1.60382851996259 & 0.0311972277305581 \tabularnewline
0.52 & 1.60942320623426 & 0.0299474482511442 \tabularnewline
0.53 & 1.61481878399003 & 0.0287788615332394 \tabularnewline
0.54 & 1.62003590241691 & 0.0277671986527278 \tabularnewline
0.55 & 1.62510452906421 & 0.0269589753412469 \tabularnewline
0.56 & 1.63005965943276 & 0.0263815236575925 \tabularnewline
0.57 & 1.63493665445399 & 0.0260173656059771 \tabularnewline
0.58 & 1.63976686180525 & 0.0258287943275357 \tabularnewline
0.59 & 1.64457417536086 & 0.0257495102157135 \tabularnewline
0.6 & 1.6493730592673 & 0.0257082265487297 \tabularnewline
0.61 & 1.65416831439528 & 0.0256420467896593 \tabularnewline
0.62 & 1.65895653278664 & 0.0254998048533606 \tabularnewline
0.63 & 1.6637288370307 & 0.0252557740548661 \tabularnewline
0.64 & 1.66847421972954 & 0.0249133515412908 \tabularnewline
0.65 & 1.67318266263999 & 0.0244962999432005 \tabularnewline
0.66 & 1.67784727684528 & 0.0240407242496521 \tabularnewline
0.67 & 1.68246496724794 & 0.0235833787844816 \tabularnewline
0.68 & 1.68703553251728 & 0.0231481358092171 \tabularnewline
0.69 & 1.69155956176764 & 0.0227365220732009 \tabularnewline
0.7 & 1.69603585375479 & 0.0223315803182466 \tabularnewline
0.71 & 1.70045924797687 & 0.0218961346230325 \tabularnewline
0.72 & 1.70481965552066 & 0.0213885651891861 \tabularnewline
0.73 & 1.70910272442636 & 0.0207776595786177 \tabularnewline
0.74 & 1.71329206528785 & 0.0200535397780054 \tabularnewline
0.75 & 1.71737245186028 & 0.0192288193877549 \tabularnewline
0.76 & 1.72133306517977 & 0.0183400813628015 \tabularnewline
0.77 & 1.72516979206489 & 0.0174382866073945 \tabularnewline
0.78 & 1.72888585596985 & 0.016571701666977 \tabularnewline
0.79 & 1.73249058018558 & 0.0157787246904736 \tabularnewline
0.8 & 1.73599670238034 & 0.0150718678715141 \tabularnewline
0.81 & 1.73941717848239 & 0.0144400789280626 \tabularnewline
0.82 & 1.74276266044505 & 0.0138557433527776 \tabularnewline
0.83 & 1.74604071341501 & 0.013285852908133 \tabularnewline
0.84 & 1.74925736845549 & 0.0127122348339253 \tabularnewline
0.85 & 1.75242091137138 & 0.0121353044384717 \tabularnewline
0.86 & 1.75554710348096 & 0.0115863725513553 \tabularnewline
0.87 & 1.75866459891961 & 0.0111156585711639 \tabularnewline
0.88 & 1.76181943579331 & 0.0107890814149443 \tabularnewline
0.89 & 1.76507817630567 & 0.0106644672134859 \tabularnewline
0.9 & 1.76852996660009 & 0.0107817183552626 \tabularnewline
0.91 & 1.77228697081311 & 0.0111649359277169 \tabularnewline
0.92 & 1.77647859346109 & 0.0118340037071275 \tabularnewline
0.93 & 1.78122860556681 & 0.0127783443501794 \tabularnewline
0.94 & 1.78660360243725 & 0.0138338646302023 \tabularnewline
0.95 & 1.79253986022486 & 0.0145189613998966 \tabularnewline
0.96 & 1.79879472621003 & 0.0140969109096195 \tabularnewline
0.97 & 1.80498235541642 & 0.0121143168476962 \tabularnewline
0.98 & 1.81065910687635 & 0.00927606482161257 \tabularnewline
0.99 & 1.81527277868617 & 0.00764796556912721 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238628&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]1.20429913932083[/C][C]0.0373530546120171[/C][/ROW]
[ROW][C]0.02[/C][C]1.22423762380814[/C][C]0.0346867212076327[/C][/ROW]
[ROW][C]0.03[/C][C]1.24450496627556[/C][C]0.0322259959802699[/C][/ROW]
[ROW][C]0.04[/C][C]1.26252180412622[/C][C]0.0315130939054395[/C][/ROW]
[ROW][C]0.05[/C][C]1.27850952627914[/C][C]0.0336972212053086[/C][/ROW]
[ROW][C]0.06[/C][C]1.29348586752637[/C][C]0.0375731864497716[/C][/ROW]
[ROW][C]0.07[/C][C]1.30813854375628[/C][C]0.0409050984083796[/C][/ROW]
[ROW][C]0.08[/C][C]1.32256207689246[/C][C]0.0421947750545892[/C][/ROW]
[ROW][C]0.09[/C][C]1.33644217362051[/C][C]0.0411225868733009[/C][/ROW]
[ROW][C]0.1[/C][C]1.34935794962191[/C][C]0.0382764075431087[/C][/ROW]
[ROW][C]0.11[/C][C]1.36101299601279[/C][C]0.0346508965623186[/C][/ROW]
[ROW][C]0.12[/C][C]1.37133072112329[/C][C]0.0312011525467269[/C][/ROW]
[ROW][C]0.13[/C][C]1.38043493618354[/C][C]0.0285596722674813[/C][/ROW]
[ROW][C]0.14[/C][C]1.38857193732453[/C][C]0.0269601680501399[/C][/ROW]
[ROW][C]0.15[/C][C]1.39602579603262[/C][C]0.0263246225543741[/C][/ROW]
[ROW][C]0.16[/C][C]1.40305604692422[/C][C]0.0264246560310537[/C][/ROW]
[ROW][C]0.17[/C][C]1.40986487071644[/C][C]0.0269976181078667[/C][/ROW]
[ROW][C]0.18[/C][C]1.41658783045164[/C][C]0.0278072143484904[/C][/ROW]
[ROW][C]0.19[/C][C]1.42329848251998[/C][C]0.0286531324941688[/C][/ROW]
[ROW][C]0.2[/C][C]1.43001902200954[/C][C]0.0293700853355321[/C][/ROW]
[ROW][C]0.21[/C][C]1.43673257444019[/C][C]0.0298314349440536[/C][/ROW]
[ROW][C]0.22[/C][C]1.44339542997636[/C][C]0.0299489007215808[/C][/ROW]
[ROW][C]0.23[/C][C]1.44994876478637[/C][C]0.0296912332212299[/C][/ROW]
[ROW][C]0.24[/C][C]1.45632957927449[/C][C]0.0290725762996992[/C][/ROW]
[ROW][C]0.25[/C][C]1.46248036217719[/C][C]0.0281479444490686[/C][/ROW]
[ROW][C]0.26[/C][C]1.46835684470613[/C][C]0.0270020044049259[/C][/ROW]
[ROW][C]0.27[/C][C]1.47393331574389[/C][C]0.0257470177387129[/C][/ROW]
[ROW][C]0.28[/C][C]1.47920527443181[/C][C]0.0244967787677863[/C][/ROW]
[ROW][C]0.29[/C][C]1.48418955705214[/C][C]0.0233647490295488[/C][/ROW]
[ROW][C]0.3[/C][C]1.48892236466089[/C][C]0.0224538130962105[/C][/ROW]
[ROW][C]0.31[/C][C]1.49345577381181[/C][C]0.0218379406584929[/C][/ROW]
[ROW][C]0.32[/C][C]1.49785333408018[/C][C]0.0215793922407494[/C][/ROW]
[ROW][C]0.33[/C][C]1.50218527981344[/C][C]0.0217026960271594[/C][/ROW]
[ROW][C]0.34[/C][C]1.50652375862273[/C][C]0.0222107723050746[/C][/ROW]
[ROW][C]0.35[/C][C]1.51093834940545[/C][C]0.0230767834623731[/C][/ROW]
[ROW][C]0.36[/C][C]1.51549203842215[/C][C]0.0242512557532403[/C][/ROW]
[ROW][C]0.37[/C][C]1.52023775756477[/C][C]0.0256691667786313[/C][/ROW]
[ROW][C]0.38[/C][C]1.52521556411163[/C][C]0.0272508262027873[/C][/ROW]
[ROW][C]0.39[/C][C]1.53045054409734[/C][C]0.0289082422217632[/C][/ROW]
[ROW][C]0.4[/C][C]1.53595153352709[/C][C]0.0305478626648958[/C][/ROW]
[ROW][C]0.41[/C][C]1.54171075416778[/C][C]0.0320783851397286[/C][/ROW]
[ROW][C]0.42[/C][C]1.547704439937[/C][C]0.0334113347245095[/C][/ROW]
[ROW][C]0.43[/C][C]1.55389448122074[/C][C]0.0344738152053691[/C][/ROW]
[ROW][C]0.44[/C][C]1.56023104222503[/C][C]0.035209524392941[/C][/ROW]
[ROW][C]0.45[/C][C]1.56665602164762[/C][C]0.0355848648621172[/C][/ROW]
[ROW][C]0.46[/C][C]1.5731071426549[/C][C]0.0355832181904163[/C][/ROW]
[ROW][C]0.47[/C][C]1.57952238573511[/C][C]0.0352216671162592[/C][/ROW]
[ROW][C]0.48[/C][C]1.58584442518078[/C][C]0.0345338127736674[/C][/ROW]
[ROW][C]0.49[/C][C]1.59202470131811[/C][C]0.0335813178152175[/C][/ROW]
[ROW][C]0.5[/C][C]1.59802675971067[/C][C]0.0324389974065567[/C][/ROW]
[ROW][C]0.51[/C][C]1.60382851996259[/C][C]0.0311972277305581[/C][/ROW]
[ROW][C]0.52[/C][C]1.60942320623426[/C][C]0.0299474482511442[/C][/ROW]
[ROW][C]0.53[/C][C]1.61481878399003[/C][C]0.0287788615332394[/C][/ROW]
[ROW][C]0.54[/C][C]1.62003590241691[/C][C]0.0277671986527278[/C][/ROW]
[ROW][C]0.55[/C][C]1.62510452906421[/C][C]0.0269589753412469[/C][/ROW]
[ROW][C]0.56[/C][C]1.63005965943276[/C][C]0.0263815236575925[/C][/ROW]
[ROW][C]0.57[/C][C]1.63493665445399[/C][C]0.0260173656059771[/C][/ROW]
[ROW][C]0.58[/C][C]1.63976686180525[/C][C]0.0258287943275357[/C][/ROW]
[ROW][C]0.59[/C][C]1.64457417536086[/C][C]0.0257495102157135[/C][/ROW]
[ROW][C]0.6[/C][C]1.6493730592673[/C][C]0.0257082265487297[/C][/ROW]
[ROW][C]0.61[/C][C]1.65416831439528[/C][C]0.0256420467896593[/C][/ROW]
[ROW][C]0.62[/C][C]1.65895653278664[/C][C]0.0254998048533606[/C][/ROW]
[ROW][C]0.63[/C][C]1.6637288370307[/C][C]0.0252557740548661[/C][/ROW]
[ROW][C]0.64[/C][C]1.66847421972954[/C][C]0.0249133515412908[/C][/ROW]
[ROW][C]0.65[/C][C]1.67318266263999[/C][C]0.0244962999432005[/C][/ROW]
[ROW][C]0.66[/C][C]1.67784727684528[/C][C]0.0240407242496521[/C][/ROW]
[ROW][C]0.67[/C][C]1.68246496724794[/C][C]0.0235833787844816[/C][/ROW]
[ROW][C]0.68[/C][C]1.68703553251728[/C][C]0.0231481358092171[/C][/ROW]
[ROW][C]0.69[/C][C]1.69155956176764[/C][C]0.0227365220732009[/C][/ROW]
[ROW][C]0.7[/C][C]1.69603585375479[/C][C]0.0223315803182466[/C][/ROW]
[ROW][C]0.71[/C][C]1.70045924797687[/C][C]0.0218961346230325[/C][/ROW]
[ROW][C]0.72[/C][C]1.70481965552066[/C][C]0.0213885651891861[/C][/ROW]
[ROW][C]0.73[/C][C]1.70910272442636[/C][C]0.0207776595786177[/C][/ROW]
[ROW][C]0.74[/C][C]1.71329206528785[/C][C]0.0200535397780054[/C][/ROW]
[ROW][C]0.75[/C][C]1.71737245186028[/C][C]0.0192288193877549[/C][/ROW]
[ROW][C]0.76[/C][C]1.72133306517977[/C][C]0.0183400813628015[/C][/ROW]
[ROW][C]0.77[/C][C]1.72516979206489[/C][C]0.0174382866073945[/C][/ROW]
[ROW][C]0.78[/C][C]1.72888585596985[/C][C]0.016571701666977[/C][/ROW]
[ROW][C]0.79[/C][C]1.73249058018558[/C][C]0.0157787246904736[/C][/ROW]
[ROW][C]0.8[/C][C]1.73599670238034[/C][C]0.0150718678715141[/C][/ROW]
[ROW][C]0.81[/C][C]1.73941717848239[/C][C]0.0144400789280626[/C][/ROW]
[ROW][C]0.82[/C][C]1.74276266044505[/C][C]0.0138557433527776[/C][/ROW]
[ROW][C]0.83[/C][C]1.74604071341501[/C][C]0.013285852908133[/C][/ROW]
[ROW][C]0.84[/C][C]1.74925736845549[/C][C]0.0127122348339253[/C][/ROW]
[ROW][C]0.85[/C][C]1.75242091137138[/C][C]0.0121353044384717[/C][/ROW]
[ROW][C]0.86[/C][C]1.75554710348096[/C][C]0.0115863725513553[/C][/ROW]
[ROW][C]0.87[/C][C]1.75866459891961[/C][C]0.0111156585711639[/C][/ROW]
[ROW][C]0.88[/C][C]1.76181943579331[/C][C]0.0107890814149443[/C][/ROW]
[ROW][C]0.89[/C][C]1.76507817630567[/C][C]0.0106644672134859[/C][/ROW]
[ROW][C]0.9[/C][C]1.76852996660009[/C][C]0.0107817183552626[/C][/ROW]
[ROW][C]0.91[/C][C]1.77228697081311[/C][C]0.0111649359277169[/C][/ROW]
[ROW][C]0.92[/C][C]1.77647859346109[/C][C]0.0118340037071275[/C][/ROW]
[ROW][C]0.93[/C][C]1.78122860556681[/C][C]0.0127783443501794[/C][/ROW]
[ROW][C]0.94[/C][C]1.78660360243725[/C][C]0.0138338646302023[/C][/ROW]
[ROW][C]0.95[/C][C]1.79253986022486[/C][C]0.0145189613998966[/C][/ROW]
[ROW][C]0.96[/C][C]1.79879472621003[/C][C]0.0140969109096195[/C][/ROW]
[ROW][C]0.97[/C][C]1.80498235541642[/C][C]0.0121143168476962[/C][/ROW]
[ROW][C]0.98[/C][C]1.81065910687635[/C][C]0.00927606482161257[/C][/ROW]
[ROW][C]0.99[/C][C]1.81527277868617[/C][C]0.00764796556912721[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238628&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238628&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
0.011.204299139320830.0373530546120171
0.021.224237623808140.0346867212076327
0.031.244504966275560.0322259959802699
0.041.262521804126220.0315130939054395
0.051.278509526279140.0336972212053086
0.061.293485867526370.0375731864497716
0.071.308138543756280.0409050984083796
0.081.322562076892460.0421947750545892
0.091.336442173620510.0411225868733009
0.11.349357949621910.0382764075431087
0.111.361012996012790.0346508965623186
0.121.371330721123290.0312011525467269
0.131.380434936183540.0285596722674813
0.141.388571937324530.0269601680501399
0.151.396025796032620.0263246225543741
0.161.403056046924220.0264246560310537
0.171.409864870716440.0269976181078667
0.181.416587830451640.0278072143484904
0.191.423298482519980.0286531324941688
0.21.430019022009540.0293700853355321
0.211.436732574440190.0298314349440536
0.221.443395429976360.0299489007215808
0.231.449948764786370.0296912332212299
0.241.456329579274490.0290725762996992
0.251.462480362177190.0281479444490686
0.261.468356844706130.0270020044049259
0.271.473933315743890.0257470177387129
0.281.479205274431810.0244967787677863
0.291.484189557052140.0233647490295488
0.31.488922364660890.0224538130962105
0.311.493455773811810.0218379406584929
0.321.497853334080180.0215793922407494
0.331.502185279813440.0217026960271594
0.341.506523758622730.0222107723050746
0.351.510938349405450.0230767834623731
0.361.515492038422150.0242512557532403
0.371.520237757564770.0256691667786313
0.381.525215564111630.0272508262027873
0.391.530450544097340.0289082422217632
0.41.535951533527090.0305478626648958
0.411.541710754167780.0320783851397286
0.421.5477044399370.0334113347245095
0.431.553894481220740.0344738152053691
0.441.560231042225030.035209524392941
0.451.566656021647620.0355848648621172
0.461.57310714265490.0355832181904163
0.471.579522385735110.0352216671162592
0.481.585844425180780.0345338127736674
0.491.592024701318110.0335813178152175
0.51.598026759710670.0324389974065567
0.511.603828519962590.0311972277305581
0.521.609423206234260.0299474482511442
0.531.614818783990030.0287788615332394
0.541.620035902416910.0277671986527278
0.551.625104529064210.0269589753412469
0.561.630059659432760.0263815236575925
0.571.634936654453990.0260173656059771
0.581.639766861805250.0258287943275357
0.591.644574175360860.0257495102157135
0.61.64937305926730.0257082265487297
0.611.654168314395280.0256420467896593
0.621.658956532786640.0254998048533606
0.631.66372883703070.0252557740548661
0.641.668474219729540.0249133515412908
0.651.673182662639990.0244962999432005
0.661.677847276845280.0240407242496521
0.671.682464967247940.0235833787844816
0.681.687035532517280.0231481358092171
0.691.691559561767640.0227365220732009
0.71.696035853754790.0223315803182466
0.711.700459247976870.0218961346230325
0.721.704819655520660.0213885651891861
0.731.709102724426360.0207776595786177
0.741.713292065287850.0200535397780054
0.751.717372451860280.0192288193877549
0.761.721333065179770.0183400813628015
0.771.725169792064890.0174382866073945
0.781.728885855969850.016571701666977
0.791.732490580185580.0157787246904736
0.81.735996702380340.0150718678715141
0.811.739417178482390.0144400789280626
0.821.742762660445050.0138557433527776
0.831.746040713415010.013285852908133
0.841.749257368455490.0127122348339253
0.851.752420911371380.0121353044384717
0.861.755547103480960.0115863725513553
0.871.758664598919610.0111156585711639
0.881.761819435793310.0107890814149443
0.891.765078176305670.0106644672134859
0.91.768529966600090.0107817183552626
0.911.772286970813110.0111649359277169
0.921.776478593461090.0118340037071275
0.931.781228605566810.0127783443501794
0.941.786603602437250.0138338646302023
0.951.792539860224860.0145189613998966
0.961.798794726210030.0140969109096195
0.971.804982355416420.0121143168476962
0.981.810659106876350.00927606482161257
0.991.815272778686170.00764796556912721


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')