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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 27 Feb 2016 10:29:52 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Feb/27/t1456569207855jq3wqtt304di.htm/, Retrieved Sat, 27 Apr 2024 07:50:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292839, Retrieved Sat, 27 Apr 2024 07:50:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact111
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Munteenheid Perce...] [2016-02-27 10:29:52] [f41d2dc125a0429ac7ee523034b5d7c0] [Current]
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Dataseries X:
1.4272
1.3686
1.3569
1.3406
1.2565
1.2209
1.277
1.2894
1.3067
1.3898
1.3661
1.322
1.336
1.3649
1.3999
1.4442
1.4349
1.4388
1.4264
1.4343
1.377
1.3706
1.3556
1.3179
1.2905
1.3224
1.3201
1.3162
1.2789
1.2526
1.2288
1.24
1.2856
1.2974
1.2828
1.3119
1.3288
1.3359
1.2964
1.3026
1.2982
1.3189
1.308
1.331
1.3348
1.3635
1.3493
1.3704
1.361
1.3658
1.3823
1.3812
1.3732
1.3592
1.3539
1.3316
1.2901
1.2673
1.2472
1.2331
1.1621
1.135
1.0838
1.0779
1.115
1.1213
1.0996
1.1139
1.1221
1.1235
1.0736
1.0877




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=292839&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=292839&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292839&T=0

As an alternative you can also use a 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
0.011.075375597045780.0048760122758255
0.021.078534772934990.00652389034280303
0.031.08260673080890.00880370932715273
0.041.087306773414620.0111635591773193
0.051.092461546944630.0131203498199937
0.061.097898387440310.0144228306989464
0.071.103457270587750.0152350932352697
0.081.109065589275730.016124072849397
0.091.114792065789420.017822055669011
0.11.120840302408020.0208357488450083
0.111.127486382765680.0251773146930509
0.121.134989202348850.0304162264014421
0.131.14350684827360.0358704206723162
0.141.153044126723850.0407865420527166
0.151.163442608755050.0445086292310412
0.161.17441076904260.0466029312468881
0.171.185581397811610.0469232342218353
0.181.196578407041890.0456106754045222
0.191.207075825183490.0430280523141161
0.21.216836987892070.0396517515687435
0.211.225729335527920.0359642632493287
0.221.233717219672190.0323631249800055
0.231.240839779840850.0291149665072761
0.241.247182548677720.0263403132513481
0.251.252850385433310.0240350314420765
0.261.257946707270730.0221226796201163
0.271.262560987221150.0204915897593368
0.281.266764020418140.0190430839936709
0.291.270608964676960.0177075211822613
0.31.274135654602790.0164538737087344
0.311.277375924298030.0152749022224573
0.321.280358315781730.0141853010014392
0.331.283111296905210.013212169941223
0.341.285664759247220.0123794239826409
0.351.288050014626740.0117036219887148
0.361.290298744174280.0111857845601833
0.371.292441413702320.0108207786023339
0.381.294505612007320.0105879233432191
0.391.296514652495690.0104586488089154
0.41.29848664768960.010399976313427
0.411.300434147958120.0103802520333334
0.421.302364341934540.0103708763587895
0.431.304279747672290.010347527708143
0.441.306179276961270.0102921526897261
0.451.308059526431770.0102008914244251
0.461.309916136392040.0100702825305876
0.471.311745062379710.00990975564421183
0.481.313543626383910.00973054560012084
0.491.315311253986030.00955039158058818
0.51.317049855776870.00938450846885826
0.511.318763867437610.00924903772842475
0.521.320460010980.00915468676091887
0.531.322146868237580.00911309125033741
0.541.323834359429350.00912713686032462
0.551.325533194672420.00919837610755931
0.561.327254323656950.00932615911917603
0.571.329008364272190.00950885225508801
0.581.33080496308220.00973845593605704
0.591.332652043524250.010005458596258
0.61.334554936019160.0102977963963751
0.611.336515449311570.0105910709004926
0.621.338531013954750.0108582876300209
0.631.340594080535340.0110707379333559
0.641.342691963400180.0111968635016923
0.651.344807273442790.0112112803347841
0.661.346918986497070.0110917191291654
0.671.34900406994350.0108377057376408
0.681.351039472984960.0104519610892594
0.691.353004209405830.00995441433830055
0.71.354881247759480.00936974613923954
0.711.356658976005620.00873693299997982
0.721.358332108867050.0080895613751511
0.731.359902026248580.00746398140203573
0.741.361376637167940.00689148566689813
0.751.362769932162040.00639919567574489
0.761.364101411362010.00600994907104154
0.771.365395566784660.00574082978246421
0.781.366681579227950.0056086441633059
0.791.367993385147130.00562579542027089
0.81.369370281479460.00580422717086959
0.811.370858233748990.00615932378260473
0.821.372511952126970.00670845762226935
0.831.374397478507670.00748060610392826
0.841.376594376935970.00851428869533824
0.851.379195661812190.00985167318164903
0.861.382302638832290.0115115090328248
0.871.386011560764760.0134577097647682
0.881.390390362678040.0155548133464645
0.891.395447451163270.0175418381410463
0.91.401100230274640.0190520302973321
0.911.407156642093070.0196826388521786
0.921.41332483364570.0191262894354171
0.931.419260688247940.0173073857323603
0.941.424649808143270.0144716546061006
0.951.429303187780030.0111607409906329
0.961.433228840520660.00807340553700617
0.971.436624265389740.0058573850888749
0.981.439719013266270.00487562900508446
0.991.44244534055870.00493375951869588

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.07537559704578 & 0.0048760122758255 \tabularnewline
0.02 & 1.07853477293499 & 0.00652389034280303 \tabularnewline
0.03 & 1.0826067308089 & 0.00880370932715273 \tabularnewline
0.04 & 1.08730677341462 & 0.0111635591773193 \tabularnewline
0.05 & 1.09246154694463 & 0.0131203498199937 \tabularnewline
0.06 & 1.09789838744031 & 0.0144228306989464 \tabularnewline
0.07 & 1.10345727058775 & 0.0152350932352697 \tabularnewline
0.08 & 1.10906558927573 & 0.016124072849397 \tabularnewline
0.09 & 1.11479206578942 & 0.017822055669011 \tabularnewline
0.1 & 1.12084030240802 & 0.0208357488450083 \tabularnewline
0.11 & 1.12748638276568 & 0.0251773146930509 \tabularnewline
0.12 & 1.13498920234885 & 0.0304162264014421 \tabularnewline
0.13 & 1.1435068482736 & 0.0358704206723162 \tabularnewline
0.14 & 1.15304412672385 & 0.0407865420527166 \tabularnewline
0.15 & 1.16344260875505 & 0.0445086292310412 \tabularnewline
0.16 & 1.1744107690426 & 0.0466029312468881 \tabularnewline
0.17 & 1.18558139781161 & 0.0469232342218353 \tabularnewline
0.18 & 1.19657840704189 & 0.0456106754045222 \tabularnewline
0.19 & 1.20707582518349 & 0.0430280523141161 \tabularnewline
0.2 & 1.21683698789207 & 0.0396517515687435 \tabularnewline
0.21 & 1.22572933552792 & 0.0359642632493287 \tabularnewline
0.22 & 1.23371721967219 & 0.0323631249800055 \tabularnewline
0.23 & 1.24083977984085 & 0.0291149665072761 \tabularnewline
0.24 & 1.24718254867772 & 0.0263403132513481 \tabularnewline
0.25 & 1.25285038543331 & 0.0240350314420765 \tabularnewline
0.26 & 1.25794670727073 & 0.0221226796201163 \tabularnewline
0.27 & 1.26256098722115 & 0.0204915897593368 \tabularnewline
0.28 & 1.26676402041814 & 0.0190430839936709 \tabularnewline
0.29 & 1.27060896467696 & 0.0177075211822613 \tabularnewline
0.3 & 1.27413565460279 & 0.0164538737087344 \tabularnewline
0.31 & 1.27737592429803 & 0.0152749022224573 \tabularnewline
0.32 & 1.28035831578173 & 0.0141853010014392 \tabularnewline
0.33 & 1.28311129690521 & 0.013212169941223 \tabularnewline
0.34 & 1.28566475924722 & 0.0123794239826409 \tabularnewline
0.35 & 1.28805001462674 & 0.0117036219887148 \tabularnewline
0.36 & 1.29029874417428 & 0.0111857845601833 \tabularnewline
0.37 & 1.29244141370232 & 0.0108207786023339 \tabularnewline
0.38 & 1.29450561200732 & 0.0105879233432191 \tabularnewline
0.39 & 1.29651465249569 & 0.0104586488089154 \tabularnewline
0.4 & 1.2984866476896 & 0.010399976313427 \tabularnewline
0.41 & 1.30043414795812 & 0.0103802520333334 \tabularnewline
0.42 & 1.30236434193454 & 0.0103708763587895 \tabularnewline
0.43 & 1.30427974767229 & 0.010347527708143 \tabularnewline
0.44 & 1.30617927696127 & 0.0102921526897261 \tabularnewline
0.45 & 1.30805952643177 & 0.0102008914244251 \tabularnewline
0.46 & 1.30991613639204 & 0.0100702825305876 \tabularnewline
0.47 & 1.31174506237971 & 0.00990975564421183 \tabularnewline
0.48 & 1.31354362638391 & 0.00973054560012084 \tabularnewline
0.49 & 1.31531125398603 & 0.00955039158058818 \tabularnewline
0.5 & 1.31704985577687 & 0.00938450846885826 \tabularnewline
0.51 & 1.31876386743761 & 0.00924903772842475 \tabularnewline
0.52 & 1.32046001098 & 0.00915468676091887 \tabularnewline
0.53 & 1.32214686823758 & 0.00911309125033741 \tabularnewline
0.54 & 1.32383435942935 & 0.00912713686032462 \tabularnewline
0.55 & 1.32553319467242 & 0.00919837610755931 \tabularnewline
0.56 & 1.32725432365695 & 0.00932615911917603 \tabularnewline
0.57 & 1.32900836427219 & 0.00950885225508801 \tabularnewline
0.58 & 1.3308049630822 & 0.00973845593605704 \tabularnewline
0.59 & 1.33265204352425 & 0.010005458596258 \tabularnewline
0.6 & 1.33455493601916 & 0.0102977963963751 \tabularnewline
0.61 & 1.33651544931157 & 0.0105910709004926 \tabularnewline
0.62 & 1.33853101395475 & 0.0108582876300209 \tabularnewline
0.63 & 1.34059408053534 & 0.0110707379333559 \tabularnewline
0.64 & 1.34269196340018 & 0.0111968635016923 \tabularnewline
0.65 & 1.34480727344279 & 0.0112112803347841 \tabularnewline
0.66 & 1.34691898649707 & 0.0110917191291654 \tabularnewline
0.67 & 1.3490040699435 & 0.0108377057376408 \tabularnewline
0.68 & 1.35103947298496 & 0.0104519610892594 \tabularnewline
0.69 & 1.35300420940583 & 0.00995441433830055 \tabularnewline
0.7 & 1.35488124775948 & 0.00936974613923954 \tabularnewline
0.71 & 1.35665897600562 & 0.00873693299997982 \tabularnewline
0.72 & 1.35833210886705 & 0.0080895613751511 \tabularnewline
0.73 & 1.35990202624858 & 0.00746398140203573 \tabularnewline
0.74 & 1.36137663716794 & 0.00689148566689813 \tabularnewline
0.75 & 1.36276993216204 & 0.00639919567574489 \tabularnewline
0.76 & 1.36410141136201 & 0.00600994907104154 \tabularnewline
0.77 & 1.36539556678466 & 0.00574082978246421 \tabularnewline
0.78 & 1.36668157922795 & 0.0056086441633059 \tabularnewline
0.79 & 1.36799338514713 & 0.00562579542027089 \tabularnewline
0.8 & 1.36937028147946 & 0.00580422717086959 \tabularnewline
0.81 & 1.37085823374899 & 0.00615932378260473 \tabularnewline
0.82 & 1.37251195212697 & 0.00670845762226935 \tabularnewline
0.83 & 1.37439747850767 & 0.00748060610392826 \tabularnewline
0.84 & 1.37659437693597 & 0.00851428869533824 \tabularnewline
0.85 & 1.37919566181219 & 0.00985167318164903 \tabularnewline
0.86 & 1.38230263883229 & 0.0115115090328248 \tabularnewline
0.87 & 1.38601156076476 & 0.0134577097647682 \tabularnewline
0.88 & 1.39039036267804 & 0.0155548133464645 \tabularnewline
0.89 & 1.39544745116327 & 0.0175418381410463 \tabularnewline
0.9 & 1.40110023027464 & 0.0190520302973321 \tabularnewline
0.91 & 1.40715664209307 & 0.0196826388521786 \tabularnewline
0.92 & 1.4133248336457 & 0.0191262894354171 \tabularnewline
0.93 & 1.41926068824794 & 0.0173073857323603 \tabularnewline
0.94 & 1.42464980814327 & 0.0144716546061006 \tabularnewline
0.95 & 1.42930318778003 & 0.0111607409906329 \tabularnewline
0.96 & 1.43322884052066 & 0.00807340553700617 \tabularnewline
0.97 & 1.43662426538974 & 0.0058573850888749 \tabularnewline
0.98 & 1.43971901326627 & 0.00487562900508446 \tabularnewline
0.99 & 1.4424453405587 & 0.00493375951869588 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292839&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]1.07537559704578[/C][C]0.0048760122758255[/C][/ROW]
[ROW][C]0.02[/C][C]1.07853477293499[/C][C]0.00652389034280303[/C][/ROW]
[ROW][C]0.03[/C][C]1.0826067308089[/C][C]0.00880370932715273[/C][/ROW]
[ROW][C]0.04[/C][C]1.08730677341462[/C][C]0.0111635591773193[/C][/ROW]
[ROW][C]0.05[/C][C]1.09246154694463[/C][C]0.0131203498199937[/C][/ROW]
[ROW][C]0.06[/C][C]1.09789838744031[/C][C]0.0144228306989464[/C][/ROW]
[ROW][C]0.07[/C][C]1.10345727058775[/C][C]0.0152350932352697[/C][/ROW]
[ROW][C]0.08[/C][C]1.10906558927573[/C][C]0.016124072849397[/C][/ROW]
[ROW][C]0.09[/C][C]1.11479206578942[/C][C]0.017822055669011[/C][/ROW]
[ROW][C]0.1[/C][C]1.12084030240802[/C][C]0.0208357488450083[/C][/ROW]
[ROW][C]0.11[/C][C]1.12748638276568[/C][C]0.0251773146930509[/C][/ROW]
[ROW][C]0.12[/C][C]1.13498920234885[/C][C]0.0304162264014421[/C][/ROW]
[ROW][C]0.13[/C][C]1.1435068482736[/C][C]0.0358704206723162[/C][/ROW]
[ROW][C]0.14[/C][C]1.15304412672385[/C][C]0.0407865420527166[/C][/ROW]
[ROW][C]0.15[/C][C]1.16344260875505[/C][C]0.0445086292310412[/C][/ROW]
[ROW][C]0.16[/C][C]1.1744107690426[/C][C]0.0466029312468881[/C][/ROW]
[ROW][C]0.17[/C][C]1.18558139781161[/C][C]0.0469232342218353[/C][/ROW]
[ROW][C]0.18[/C][C]1.19657840704189[/C][C]0.0456106754045222[/C][/ROW]
[ROW][C]0.19[/C][C]1.20707582518349[/C][C]0.0430280523141161[/C][/ROW]
[ROW][C]0.2[/C][C]1.21683698789207[/C][C]0.0396517515687435[/C][/ROW]
[ROW][C]0.21[/C][C]1.22572933552792[/C][C]0.0359642632493287[/C][/ROW]
[ROW][C]0.22[/C][C]1.23371721967219[/C][C]0.0323631249800055[/C][/ROW]
[ROW][C]0.23[/C][C]1.24083977984085[/C][C]0.0291149665072761[/C][/ROW]
[ROW][C]0.24[/C][C]1.24718254867772[/C][C]0.0263403132513481[/C][/ROW]
[ROW][C]0.25[/C][C]1.25285038543331[/C][C]0.0240350314420765[/C][/ROW]
[ROW][C]0.26[/C][C]1.25794670727073[/C][C]0.0221226796201163[/C][/ROW]
[ROW][C]0.27[/C][C]1.26256098722115[/C][C]0.0204915897593368[/C][/ROW]
[ROW][C]0.28[/C][C]1.26676402041814[/C][C]0.0190430839936709[/C][/ROW]
[ROW][C]0.29[/C][C]1.27060896467696[/C][C]0.0177075211822613[/C][/ROW]
[ROW][C]0.3[/C][C]1.27413565460279[/C][C]0.0164538737087344[/C][/ROW]
[ROW][C]0.31[/C][C]1.27737592429803[/C][C]0.0152749022224573[/C][/ROW]
[ROW][C]0.32[/C][C]1.28035831578173[/C][C]0.0141853010014392[/C][/ROW]
[ROW][C]0.33[/C][C]1.28311129690521[/C][C]0.013212169941223[/C][/ROW]
[ROW][C]0.34[/C][C]1.28566475924722[/C][C]0.0123794239826409[/C][/ROW]
[ROW][C]0.35[/C][C]1.28805001462674[/C][C]0.0117036219887148[/C][/ROW]
[ROW][C]0.36[/C][C]1.29029874417428[/C][C]0.0111857845601833[/C][/ROW]
[ROW][C]0.37[/C][C]1.29244141370232[/C][C]0.0108207786023339[/C][/ROW]
[ROW][C]0.38[/C][C]1.29450561200732[/C][C]0.0105879233432191[/C][/ROW]
[ROW][C]0.39[/C][C]1.29651465249569[/C][C]0.0104586488089154[/C][/ROW]
[ROW][C]0.4[/C][C]1.2984866476896[/C][C]0.010399976313427[/C][/ROW]
[ROW][C]0.41[/C][C]1.30043414795812[/C][C]0.0103802520333334[/C][/ROW]
[ROW][C]0.42[/C][C]1.30236434193454[/C][C]0.0103708763587895[/C][/ROW]
[ROW][C]0.43[/C][C]1.30427974767229[/C][C]0.010347527708143[/C][/ROW]
[ROW][C]0.44[/C][C]1.30617927696127[/C][C]0.0102921526897261[/C][/ROW]
[ROW][C]0.45[/C][C]1.30805952643177[/C][C]0.0102008914244251[/C][/ROW]
[ROW][C]0.46[/C][C]1.30991613639204[/C][C]0.0100702825305876[/C][/ROW]
[ROW][C]0.47[/C][C]1.31174506237971[/C][C]0.00990975564421183[/C][/ROW]
[ROW][C]0.48[/C][C]1.31354362638391[/C][C]0.00973054560012084[/C][/ROW]
[ROW][C]0.49[/C][C]1.31531125398603[/C][C]0.00955039158058818[/C][/ROW]
[ROW][C]0.5[/C][C]1.31704985577687[/C][C]0.00938450846885826[/C][/ROW]
[ROW][C]0.51[/C][C]1.31876386743761[/C][C]0.00924903772842475[/C][/ROW]
[ROW][C]0.52[/C][C]1.32046001098[/C][C]0.00915468676091887[/C][/ROW]
[ROW][C]0.53[/C][C]1.32214686823758[/C][C]0.00911309125033741[/C][/ROW]
[ROW][C]0.54[/C][C]1.32383435942935[/C][C]0.00912713686032462[/C][/ROW]
[ROW][C]0.55[/C][C]1.32553319467242[/C][C]0.00919837610755931[/C][/ROW]
[ROW][C]0.56[/C][C]1.32725432365695[/C][C]0.00932615911917603[/C][/ROW]
[ROW][C]0.57[/C][C]1.32900836427219[/C][C]0.00950885225508801[/C][/ROW]
[ROW][C]0.58[/C][C]1.3308049630822[/C][C]0.00973845593605704[/C][/ROW]
[ROW][C]0.59[/C][C]1.33265204352425[/C][C]0.010005458596258[/C][/ROW]
[ROW][C]0.6[/C][C]1.33455493601916[/C][C]0.0102977963963751[/C][/ROW]
[ROW][C]0.61[/C][C]1.33651544931157[/C][C]0.0105910709004926[/C][/ROW]
[ROW][C]0.62[/C][C]1.33853101395475[/C][C]0.0108582876300209[/C][/ROW]
[ROW][C]0.63[/C][C]1.34059408053534[/C][C]0.0110707379333559[/C][/ROW]
[ROW][C]0.64[/C][C]1.34269196340018[/C][C]0.0111968635016923[/C][/ROW]
[ROW][C]0.65[/C][C]1.34480727344279[/C][C]0.0112112803347841[/C][/ROW]
[ROW][C]0.66[/C][C]1.34691898649707[/C][C]0.0110917191291654[/C][/ROW]
[ROW][C]0.67[/C][C]1.3490040699435[/C][C]0.0108377057376408[/C][/ROW]
[ROW][C]0.68[/C][C]1.35103947298496[/C][C]0.0104519610892594[/C][/ROW]
[ROW][C]0.69[/C][C]1.35300420940583[/C][C]0.00995441433830055[/C][/ROW]
[ROW][C]0.7[/C][C]1.35488124775948[/C][C]0.00936974613923954[/C][/ROW]
[ROW][C]0.71[/C][C]1.35665897600562[/C][C]0.00873693299997982[/C][/ROW]
[ROW][C]0.72[/C][C]1.35833210886705[/C][C]0.0080895613751511[/C][/ROW]
[ROW][C]0.73[/C][C]1.35990202624858[/C][C]0.00746398140203573[/C][/ROW]
[ROW][C]0.74[/C][C]1.36137663716794[/C][C]0.00689148566689813[/C][/ROW]
[ROW][C]0.75[/C][C]1.36276993216204[/C][C]0.00639919567574489[/C][/ROW]
[ROW][C]0.76[/C][C]1.36410141136201[/C][C]0.00600994907104154[/C][/ROW]
[ROW][C]0.77[/C][C]1.36539556678466[/C][C]0.00574082978246421[/C][/ROW]
[ROW][C]0.78[/C][C]1.36668157922795[/C][C]0.0056086441633059[/C][/ROW]
[ROW][C]0.79[/C][C]1.36799338514713[/C][C]0.00562579542027089[/C][/ROW]
[ROW][C]0.8[/C][C]1.36937028147946[/C][C]0.00580422717086959[/C][/ROW]
[ROW][C]0.81[/C][C]1.37085823374899[/C][C]0.00615932378260473[/C][/ROW]
[ROW][C]0.82[/C][C]1.37251195212697[/C][C]0.00670845762226935[/C][/ROW]
[ROW][C]0.83[/C][C]1.37439747850767[/C][C]0.00748060610392826[/C][/ROW]
[ROW][C]0.84[/C][C]1.37659437693597[/C][C]0.00851428869533824[/C][/ROW]
[ROW][C]0.85[/C][C]1.37919566181219[/C][C]0.00985167318164903[/C][/ROW]
[ROW][C]0.86[/C][C]1.38230263883229[/C][C]0.0115115090328248[/C][/ROW]
[ROW][C]0.87[/C][C]1.38601156076476[/C][C]0.0134577097647682[/C][/ROW]
[ROW][C]0.88[/C][C]1.39039036267804[/C][C]0.0155548133464645[/C][/ROW]
[ROW][C]0.89[/C][C]1.39544745116327[/C][C]0.0175418381410463[/C][/ROW]
[ROW][C]0.9[/C][C]1.40110023027464[/C][C]0.0190520302973321[/C][/ROW]
[ROW][C]0.91[/C][C]1.40715664209307[/C][C]0.0196826388521786[/C][/ROW]
[ROW][C]0.92[/C][C]1.4133248336457[/C][C]0.0191262894354171[/C][/ROW]
[ROW][C]0.93[/C][C]1.41926068824794[/C][C]0.0173073857323603[/C][/ROW]
[ROW][C]0.94[/C][C]1.42464980814327[/C][C]0.0144716546061006[/C][/ROW]
[ROW][C]0.95[/C][C]1.42930318778003[/C][C]0.0111607409906329[/C][/ROW]
[ROW][C]0.96[/C][C]1.43322884052066[/C][C]0.00807340553700617[/C][/ROW]
[ROW][C]0.97[/C][C]1.43662426538974[/C][C]0.0058573850888749[/C][/ROW]
[ROW][C]0.98[/C][C]1.43971901326627[/C][C]0.00487562900508446[/C][/ROW]
[ROW][C]0.99[/C][C]1.4424453405587[/C][C]0.00493375951869588[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292839&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292839&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.075375597045780.0048760122758255
0.021.078534772934990.00652389034280303
0.031.08260673080890.00880370932715273
0.041.087306773414620.0111635591773193
0.051.092461546944630.0131203498199937
0.061.097898387440310.0144228306989464
0.071.103457270587750.0152350932352697
0.081.109065589275730.016124072849397
0.091.114792065789420.017822055669011
0.11.120840302408020.0208357488450083
0.111.127486382765680.0251773146930509
0.121.134989202348850.0304162264014421
0.131.14350684827360.0358704206723162
0.141.153044126723850.0407865420527166
0.151.163442608755050.0445086292310412
0.161.17441076904260.0466029312468881
0.171.185581397811610.0469232342218353
0.181.196578407041890.0456106754045222
0.191.207075825183490.0430280523141161
0.21.216836987892070.0396517515687435
0.211.225729335527920.0359642632493287
0.221.233717219672190.0323631249800055
0.231.240839779840850.0291149665072761
0.241.247182548677720.0263403132513481
0.251.252850385433310.0240350314420765
0.261.257946707270730.0221226796201163
0.271.262560987221150.0204915897593368
0.281.266764020418140.0190430839936709
0.291.270608964676960.0177075211822613
0.31.274135654602790.0164538737087344
0.311.277375924298030.0152749022224573
0.321.280358315781730.0141853010014392
0.331.283111296905210.013212169941223
0.341.285664759247220.0123794239826409
0.351.288050014626740.0117036219887148
0.361.290298744174280.0111857845601833
0.371.292441413702320.0108207786023339
0.381.294505612007320.0105879233432191
0.391.296514652495690.0104586488089154
0.41.29848664768960.010399976313427
0.411.300434147958120.0103802520333334
0.421.302364341934540.0103708763587895
0.431.304279747672290.010347527708143
0.441.306179276961270.0102921526897261
0.451.308059526431770.0102008914244251
0.461.309916136392040.0100702825305876
0.471.311745062379710.00990975564421183
0.481.313543626383910.00973054560012084
0.491.315311253986030.00955039158058818
0.51.317049855776870.00938450846885826
0.511.318763867437610.00924903772842475
0.521.320460010980.00915468676091887
0.531.322146868237580.00911309125033741
0.541.323834359429350.00912713686032462
0.551.325533194672420.00919837610755931
0.561.327254323656950.00932615911917603
0.571.329008364272190.00950885225508801
0.581.33080496308220.00973845593605704
0.591.332652043524250.010005458596258
0.61.334554936019160.0102977963963751
0.611.336515449311570.0105910709004926
0.621.338531013954750.0108582876300209
0.631.340594080535340.0110707379333559
0.641.342691963400180.0111968635016923
0.651.344807273442790.0112112803347841
0.661.346918986497070.0110917191291654
0.671.34900406994350.0108377057376408
0.681.351039472984960.0104519610892594
0.691.353004209405830.00995441433830055
0.71.354881247759480.00936974613923954
0.711.356658976005620.00873693299997982
0.721.358332108867050.0080895613751511
0.731.359902026248580.00746398140203573
0.741.361376637167940.00689148566689813
0.751.362769932162040.00639919567574489
0.761.364101411362010.00600994907104154
0.771.365395566784660.00574082978246421
0.781.366681579227950.0056086441633059
0.791.367993385147130.00562579542027089
0.81.369370281479460.00580422717086959
0.811.370858233748990.00615932378260473
0.821.372511952126970.00670845762226935
0.831.374397478507670.00748060610392826
0.841.376594376935970.00851428869533824
0.851.379195661812190.00985167318164903
0.861.382302638832290.0115115090328248
0.871.386011560764760.0134577097647682
0.881.390390362678040.0155548133464645
0.891.395447451163270.0175418381410463
0.91.401100230274640.0190520302973321
0.911.407156642093070.0196826388521786
0.921.41332483364570.0191262894354171
0.931.419260688247940.0173073857323603
0.941.424649808143270.0144716546061006
0.951.429303187780030.0111607409906329
0.961.433228840520660.00807340553700617
0.971.436624265389740.0058573850888749
0.981.439719013266270.00487562900508446
0.991.44244534055870.00493375951869588



Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')