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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 computationWed, 05 Oct 2016 15:25:47 +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/2016/Oct/05/t1475677593z02fj0lwzfdr7u9.htm/, Retrieved Sun, 05 May 2024 20:46:20 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sun, 05 May 2024 20:46:20 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
96.07
95
93.27
91.94
91.62
91.01
90.62
97.72
99.09
99.72
100.22
99.15
101.16
101.8
103.31
101.19
99.09
95.91
94.56
95.76
100.36
102.67
103.58
100.89
103.46
104.86
104.88
104.46
103.83
101
99.36
96.71
95.23
95.62
95.8
94.79
95.39
94.9
94.84
94.68
94.17
94.1
93.84
94.2
97.76
98.26
99.63
98.75
100.15
99.63
99.72
98.87
98.4
97.99
98.46
98.73
98.66
98.14
98.39
97.78

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 Maurice George Kendall' @ kendall.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 Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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 Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

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






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0190.74779323155720.435259554775845
0.0290.97143869509280.54933507504111
0.0391.26067478300820.69596471132348
0.0491.58974166542010.839296827018159
0.0591.94047240187480.95259659381237
0.0692.29786411233021.01549195247418
0.0792.64743570977661.01846625047826
0.0892.97581158859130.966268543411714
0.0993.27268863149350.875365741977691
0.193.53234134170210.766648419546775
0.1193.7538546063770.659330365951095
0.1293.94019449056840.566474006083862
0.1394.09668489134380.494353359277686
0.1494.22948779508720.44282931174304
0.1594.34447334956640.408435125347241
0.1694.44660391967270.386563278377333
0.1794.53976264539330.373405200528026
0.1894.62686776147640.366788798436244
0.1994.71011046159320.365674266177556
0.294.79119801819040.369952437454334
0.2194.87154036973930.379748362464408
0.2294.95236546313750.394794618550107
0.2395.03477722639180.414746456327767
0.2495.11978026721260.439123269291824
0.2595.20829228993760.467794185037357
0.2695.30115537485270.5003741663288
0.2795.39914658275690.536940755317158
0.2895.5029809261030.577580133008665
0.2995.61329750117050.622280785207668
0.395.73062242762370.670330392038853
0.3195.85530864508320.720735479720351
0.3295.98746023183460.771674068008015
0.3396.12685530916450.820477956391066
0.3496.27288486393520.864455222339822
0.3596.42452398578460.900604912928892
0.3696.58034719981840.926334708527542
0.3796.73859190445970.93961351434772
0.3896.89726518158040.939304566142775
0.3997.05428140091990.925174565814247
0.497.2076127558420.898314158612228
0.4197.35543312070180.860316230650369
0.4297.49623752734490.813817024236219
0.4397.62892442675940.761478912624586
0.4497.7528344785460.706376026581412
0.4597.86774643880110.651257094004277
0.4697.97383649400750.59834718106051
0.4798.07161123381270.549830587711672
0.4898.161826030820.506746423742689
0.4998.24540007445520.469798761035088
0.598.32333723003050.439305049090947
0.5198.3966589745590.415106434888226
0.5298.46635258999570.396734717637597
0.5398.53333511089620.383598333441008
0.5498.59843154955020.374926819895394
0.5598.66236476816060.37003334069538
0.5698.72575398047740.36832073889243
0.5798.78911908786560.369178039919651
0.5898.85288868311010.371976559096233
0.5998.91741037510460.376328345841537
0.698.98296289447880.381789518167032
0.6199.0497700513680.388031077882343
0.6299.11801688507070.394805818517795
0.6399.18786818345890.401884226834165
0.6499.25948895876490.409481197931384
0.6599.33306556231180.417512170069977
0.6699.40882514408030.426379281419665
0.6799.4870504533850.436398979536626
0.6899.56808690999970.447917662367811
0.6999.65233976382190.461407962269593
0.799.74026113814080.47718775904751
0.7199.83232965651460.495109140566624
0.7299.92902865628640.514995934893235
0.73100.0308317840.536482042433986
0.74100.1382058534650.558982038931088
0.75100.2516389673650.58211923025548
0.76100.37169611260.606005004003373
0.77100.4990946137160.631096901733883
0.78100.6347792134510.658681223538837
0.79100.7799641566860.690277379368975
0.8100.9361022178990.727639986223977
0.81101.1047437918920.771676620169398
0.82101.2872678196990.821779877227305
0.83101.4845019895910.874809605021005
0.84101.6962979191020.925157531900609
0.85101.9211758568420.965310579877934
0.86102.1561838969420.987435616133092
0.87102.3971069913360.984928876453932
0.88102.6390940436970.954829415089178
0.89102.8776440718980.899202285456148
0.9103.1097246001070.826016744311109
0.91103.3346338947490.747978721998178
0.92103.5541340565860.679561532695362
0.93103.7714564800040.630980150014372
0.94103.9890858465310.600767710283714
0.95104.2057865838850.572810297566286
0.96104.4140579729680.522171344994988
0.97104.599792695030.427630986714186
0.98104.7457859806730.286754209526447
0.99104.8391976512510.129438533412799

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 90.7477932315572 & 0.435259554775845 \tabularnewline
0.02 & 90.9714386950928 & 0.54933507504111 \tabularnewline
0.03 & 91.2606747830082 & 0.69596471132348 \tabularnewline
0.04 & 91.5897416654201 & 0.839296827018159 \tabularnewline
0.05 & 91.9404724018748 & 0.95259659381237 \tabularnewline
0.06 & 92.2978641123302 & 1.01549195247418 \tabularnewline
0.07 & 92.6474357097766 & 1.01846625047826 \tabularnewline
0.08 & 92.9758115885913 & 0.966268543411714 \tabularnewline
0.09 & 93.2726886314935 & 0.875365741977691 \tabularnewline
0.1 & 93.5323413417021 & 0.766648419546775 \tabularnewline
0.11 & 93.753854606377 & 0.659330365951095 \tabularnewline
0.12 & 93.9401944905684 & 0.566474006083862 \tabularnewline
0.13 & 94.0966848913438 & 0.494353359277686 \tabularnewline
0.14 & 94.2294877950872 & 0.44282931174304 \tabularnewline
0.15 & 94.3444733495664 & 0.408435125347241 \tabularnewline
0.16 & 94.4466039196727 & 0.386563278377333 \tabularnewline
0.17 & 94.5397626453933 & 0.373405200528026 \tabularnewline
0.18 & 94.6268677614764 & 0.366788798436244 \tabularnewline
0.19 & 94.7101104615932 & 0.365674266177556 \tabularnewline
0.2 & 94.7911980181904 & 0.369952437454334 \tabularnewline
0.21 & 94.8715403697393 & 0.379748362464408 \tabularnewline
0.22 & 94.9523654631375 & 0.394794618550107 \tabularnewline
0.23 & 95.0347772263918 & 0.414746456327767 \tabularnewline
0.24 & 95.1197802672126 & 0.439123269291824 \tabularnewline
0.25 & 95.2082922899376 & 0.467794185037357 \tabularnewline
0.26 & 95.3011553748527 & 0.5003741663288 \tabularnewline
0.27 & 95.3991465827569 & 0.536940755317158 \tabularnewline
0.28 & 95.502980926103 & 0.577580133008665 \tabularnewline
0.29 & 95.6132975011705 & 0.622280785207668 \tabularnewline
0.3 & 95.7306224276237 & 0.670330392038853 \tabularnewline
0.31 & 95.8553086450832 & 0.720735479720351 \tabularnewline
0.32 & 95.9874602318346 & 0.771674068008015 \tabularnewline
0.33 & 96.1268553091645 & 0.820477956391066 \tabularnewline
0.34 & 96.2728848639352 & 0.864455222339822 \tabularnewline
0.35 & 96.4245239857846 & 0.900604912928892 \tabularnewline
0.36 & 96.5803471998184 & 0.926334708527542 \tabularnewline
0.37 & 96.7385919044597 & 0.93961351434772 \tabularnewline
0.38 & 96.8972651815804 & 0.939304566142775 \tabularnewline
0.39 & 97.0542814009199 & 0.925174565814247 \tabularnewline
0.4 & 97.207612755842 & 0.898314158612228 \tabularnewline
0.41 & 97.3554331207018 & 0.860316230650369 \tabularnewline
0.42 & 97.4962375273449 & 0.813817024236219 \tabularnewline
0.43 & 97.6289244267594 & 0.761478912624586 \tabularnewline
0.44 & 97.752834478546 & 0.706376026581412 \tabularnewline
0.45 & 97.8677464388011 & 0.651257094004277 \tabularnewline
0.46 & 97.9738364940075 & 0.59834718106051 \tabularnewline
0.47 & 98.0716112338127 & 0.549830587711672 \tabularnewline
0.48 & 98.16182603082 & 0.506746423742689 \tabularnewline
0.49 & 98.2454000744552 & 0.469798761035088 \tabularnewline
0.5 & 98.3233372300305 & 0.439305049090947 \tabularnewline
0.51 & 98.396658974559 & 0.415106434888226 \tabularnewline
0.52 & 98.4663525899957 & 0.396734717637597 \tabularnewline
0.53 & 98.5333351108962 & 0.383598333441008 \tabularnewline
0.54 & 98.5984315495502 & 0.374926819895394 \tabularnewline
0.55 & 98.6623647681606 & 0.37003334069538 \tabularnewline
0.56 & 98.7257539804774 & 0.36832073889243 \tabularnewline
0.57 & 98.7891190878656 & 0.369178039919651 \tabularnewline
0.58 & 98.8528886831101 & 0.371976559096233 \tabularnewline
0.59 & 98.9174103751046 & 0.376328345841537 \tabularnewline
0.6 & 98.9829628944788 & 0.381789518167032 \tabularnewline
0.61 & 99.049770051368 & 0.388031077882343 \tabularnewline
0.62 & 99.1180168850707 & 0.394805818517795 \tabularnewline
0.63 & 99.1878681834589 & 0.401884226834165 \tabularnewline
0.64 & 99.2594889587649 & 0.409481197931384 \tabularnewline
0.65 & 99.3330655623118 & 0.417512170069977 \tabularnewline
0.66 & 99.4088251440803 & 0.426379281419665 \tabularnewline
0.67 & 99.487050453385 & 0.436398979536626 \tabularnewline
0.68 & 99.5680869099997 & 0.447917662367811 \tabularnewline
0.69 & 99.6523397638219 & 0.461407962269593 \tabularnewline
0.7 & 99.7402611381408 & 0.47718775904751 \tabularnewline
0.71 & 99.8323296565146 & 0.495109140566624 \tabularnewline
0.72 & 99.9290286562864 & 0.514995934893235 \tabularnewline
0.73 & 100.030831784 & 0.536482042433986 \tabularnewline
0.74 & 100.138205853465 & 0.558982038931088 \tabularnewline
0.75 & 100.251638967365 & 0.58211923025548 \tabularnewline
0.76 & 100.3716961126 & 0.606005004003373 \tabularnewline
0.77 & 100.499094613716 & 0.631096901733883 \tabularnewline
0.78 & 100.634779213451 & 0.658681223538837 \tabularnewline
0.79 & 100.779964156686 & 0.690277379368975 \tabularnewline
0.8 & 100.936102217899 & 0.727639986223977 \tabularnewline
0.81 & 101.104743791892 & 0.771676620169398 \tabularnewline
0.82 & 101.287267819699 & 0.821779877227305 \tabularnewline
0.83 & 101.484501989591 & 0.874809605021005 \tabularnewline
0.84 & 101.696297919102 & 0.925157531900609 \tabularnewline
0.85 & 101.921175856842 & 0.965310579877934 \tabularnewline
0.86 & 102.156183896942 & 0.987435616133092 \tabularnewline
0.87 & 102.397106991336 & 0.984928876453932 \tabularnewline
0.88 & 102.639094043697 & 0.954829415089178 \tabularnewline
0.89 & 102.877644071898 & 0.899202285456148 \tabularnewline
0.9 & 103.109724600107 & 0.826016744311109 \tabularnewline
0.91 & 103.334633894749 & 0.747978721998178 \tabularnewline
0.92 & 103.554134056586 & 0.679561532695362 \tabularnewline
0.93 & 103.771456480004 & 0.630980150014372 \tabularnewline
0.94 & 103.989085846531 & 0.600767710283714 \tabularnewline
0.95 & 104.205786583885 & 0.572810297566286 \tabularnewline
0.96 & 104.414057972968 & 0.522171344994988 \tabularnewline
0.97 & 104.59979269503 & 0.427630986714186 \tabularnewline
0.98 & 104.745785980673 & 0.286754209526447 \tabularnewline
0.99 & 104.839197651251 & 0.129438533412799 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]90.7477932315572[/C][C]0.435259554775845[/C][/ROW]
[ROW][C]0.02[/C][C]90.9714386950928[/C][C]0.54933507504111[/C][/ROW]
[ROW][C]0.03[/C][C]91.2606747830082[/C][C]0.69596471132348[/C][/ROW]
[ROW][C]0.04[/C][C]91.5897416654201[/C][C]0.839296827018159[/C][/ROW]
[ROW][C]0.05[/C][C]91.9404724018748[/C][C]0.95259659381237[/C][/ROW]
[ROW][C]0.06[/C][C]92.2978641123302[/C][C]1.01549195247418[/C][/ROW]
[ROW][C]0.07[/C][C]92.6474357097766[/C][C]1.01846625047826[/C][/ROW]
[ROW][C]0.08[/C][C]92.9758115885913[/C][C]0.966268543411714[/C][/ROW]
[ROW][C]0.09[/C][C]93.2726886314935[/C][C]0.875365741977691[/C][/ROW]
[ROW][C]0.1[/C][C]93.5323413417021[/C][C]0.766648419546775[/C][/ROW]
[ROW][C]0.11[/C][C]93.753854606377[/C][C]0.659330365951095[/C][/ROW]
[ROW][C]0.12[/C][C]93.9401944905684[/C][C]0.566474006083862[/C][/ROW]
[ROW][C]0.13[/C][C]94.0966848913438[/C][C]0.494353359277686[/C][/ROW]
[ROW][C]0.14[/C][C]94.2294877950872[/C][C]0.44282931174304[/C][/ROW]
[ROW][C]0.15[/C][C]94.3444733495664[/C][C]0.408435125347241[/C][/ROW]
[ROW][C]0.16[/C][C]94.4466039196727[/C][C]0.386563278377333[/C][/ROW]
[ROW][C]0.17[/C][C]94.5397626453933[/C][C]0.373405200528026[/C][/ROW]
[ROW][C]0.18[/C][C]94.6268677614764[/C][C]0.366788798436244[/C][/ROW]
[ROW][C]0.19[/C][C]94.7101104615932[/C][C]0.365674266177556[/C][/ROW]
[ROW][C]0.2[/C][C]94.7911980181904[/C][C]0.369952437454334[/C][/ROW]
[ROW][C]0.21[/C][C]94.8715403697393[/C][C]0.379748362464408[/C][/ROW]
[ROW][C]0.22[/C][C]94.9523654631375[/C][C]0.394794618550107[/C][/ROW]
[ROW][C]0.23[/C][C]95.0347772263918[/C][C]0.414746456327767[/C][/ROW]
[ROW][C]0.24[/C][C]95.1197802672126[/C][C]0.439123269291824[/C][/ROW]
[ROW][C]0.25[/C][C]95.2082922899376[/C][C]0.467794185037357[/C][/ROW]
[ROW][C]0.26[/C][C]95.3011553748527[/C][C]0.5003741663288[/C][/ROW]
[ROW][C]0.27[/C][C]95.3991465827569[/C][C]0.536940755317158[/C][/ROW]
[ROW][C]0.28[/C][C]95.502980926103[/C][C]0.577580133008665[/C][/ROW]
[ROW][C]0.29[/C][C]95.6132975011705[/C][C]0.622280785207668[/C][/ROW]
[ROW][C]0.3[/C][C]95.7306224276237[/C][C]0.670330392038853[/C][/ROW]
[ROW][C]0.31[/C][C]95.8553086450832[/C][C]0.720735479720351[/C][/ROW]
[ROW][C]0.32[/C][C]95.9874602318346[/C][C]0.771674068008015[/C][/ROW]
[ROW][C]0.33[/C][C]96.1268553091645[/C][C]0.820477956391066[/C][/ROW]
[ROW][C]0.34[/C][C]96.2728848639352[/C][C]0.864455222339822[/C][/ROW]
[ROW][C]0.35[/C][C]96.4245239857846[/C][C]0.900604912928892[/C][/ROW]
[ROW][C]0.36[/C][C]96.5803471998184[/C][C]0.926334708527542[/C][/ROW]
[ROW][C]0.37[/C][C]96.7385919044597[/C][C]0.93961351434772[/C][/ROW]
[ROW][C]0.38[/C][C]96.8972651815804[/C][C]0.939304566142775[/C][/ROW]
[ROW][C]0.39[/C][C]97.0542814009199[/C][C]0.925174565814247[/C][/ROW]
[ROW][C]0.4[/C][C]97.207612755842[/C][C]0.898314158612228[/C][/ROW]
[ROW][C]0.41[/C][C]97.3554331207018[/C][C]0.860316230650369[/C][/ROW]
[ROW][C]0.42[/C][C]97.4962375273449[/C][C]0.813817024236219[/C][/ROW]
[ROW][C]0.43[/C][C]97.6289244267594[/C][C]0.761478912624586[/C][/ROW]
[ROW][C]0.44[/C][C]97.752834478546[/C][C]0.706376026581412[/C][/ROW]
[ROW][C]0.45[/C][C]97.8677464388011[/C][C]0.651257094004277[/C][/ROW]
[ROW][C]0.46[/C][C]97.9738364940075[/C][C]0.59834718106051[/C][/ROW]
[ROW][C]0.47[/C][C]98.0716112338127[/C][C]0.549830587711672[/C][/ROW]
[ROW][C]0.48[/C][C]98.16182603082[/C][C]0.506746423742689[/C][/ROW]
[ROW][C]0.49[/C][C]98.2454000744552[/C][C]0.469798761035088[/C][/ROW]
[ROW][C]0.5[/C][C]98.3233372300305[/C][C]0.439305049090947[/C][/ROW]
[ROW][C]0.51[/C][C]98.396658974559[/C][C]0.415106434888226[/C][/ROW]
[ROW][C]0.52[/C][C]98.4663525899957[/C][C]0.396734717637597[/C][/ROW]
[ROW][C]0.53[/C][C]98.5333351108962[/C][C]0.383598333441008[/C][/ROW]
[ROW][C]0.54[/C][C]98.5984315495502[/C][C]0.374926819895394[/C][/ROW]
[ROW][C]0.55[/C][C]98.6623647681606[/C][C]0.37003334069538[/C][/ROW]
[ROW][C]0.56[/C][C]98.7257539804774[/C][C]0.36832073889243[/C][/ROW]
[ROW][C]0.57[/C][C]98.7891190878656[/C][C]0.369178039919651[/C][/ROW]
[ROW][C]0.58[/C][C]98.8528886831101[/C][C]0.371976559096233[/C][/ROW]
[ROW][C]0.59[/C][C]98.9174103751046[/C][C]0.376328345841537[/C][/ROW]
[ROW][C]0.6[/C][C]98.9829628944788[/C][C]0.381789518167032[/C][/ROW]
[ROW][C]0.61[/C][C]99.049770051368[/C][C]0.388031077882343[/C][/ROW]
[ROW][C]0.62[/C][C]99.1180168850707[/C][C]0.394805818517795[/C][/ROW]
[ROW][C]0.63[/C][C]99.1878681834589[/C][C]0.401884226834165[/C][/ROW]
[ROW][C]0.64[/C][C]99.2594889587649[/C][C]0.409481197931384[/C][/ROW]
[ROW][C]0.65[/C][C]99.3330655623118[/C][C]0.417512170069977[/C][/ROW]
[ROW][C]0.66[/C][C]99.4088251440803[/C][C]0.426379281419665[/C][/ROW]
[ROW][C]0.67[/C][C]99.487050453385[/C][C]0.436398979536626[/C][/ROW]
[ROW][C]0.68[/C][C]99.5680869099997[/C][C]0.447917662367811[/C][/ROW]
[ROW][C]0.69[/C][C]99.6523397638219[/C][C]0.461407962269593[/C][/ROW]
[ROW][C]0.7[/C][C]99.7402611381408[/C][C]0.47718775904751[/C][/ROW]
[ROW][C]0.71[/C][C]99.8323296565146[/C][C]0.495109140566624[/C][/ROW]
[ROW][C]0.72[/C][C]99.9290286562864[/C][C]0.514995934893235[/C][/ROW]
[ROW][C]0.73[/C][C]100.030831784[/C][C]0.536482042433986[/C][/ROW]
[ROW][C]0.74[/C][C]100.138205853465[/C][C]0.558982038931088[/C][/ROW]
[ROW][C]0.75[/C][C]100.251638967365[/C][C]0.58211923025548[/C][/ROW]
[ROW][C]0.76[/C][C]100.3716961126[/C][C]0.606005004003373[/C][/ROW]
[ROW][C]0.77[/C][C]100.499094613716[/C][C]0.631096901733883[/C][/ROW]
[ROW][C]0.78[/C][C]100.634779213451[/C][C]0.658681223538837[/C][/ROW]
[ROW][C]0.79[/C][C]100.779964156686[/C][C]0.690277379368975[/C][/ROW]
[ROW][C]0.8[/C][C]100.936102217899[/C][C]0.727639986223977[/C][/ROW]
[ROW][C]0.81[/C][C]101.104743791892[/C][C]0.771676620169398[/C][/ROW]
[ROW][C]0.82[/C][C]101.287267819699[/C][C]0.821779877227305[/C][/ROW]
[ROW][C]0.83[/C][C]101.484501989591[/C][C]0.874809605021005[/C][/ROW]
[ROW][C]0.84[/C][C]101.696297919102[/C][C]0.925157531900609[/C][/ROW]
[ROW][C]0.85[/C][C]101.921175856842[/C][C]0.965310579877934[/C][/ROW]
[ROW][C]0.86[/C][C]102.156183896942[/C][C]0.987435616133092[/C][/ROW]
[ROW][C]0.87[/C][C]102.397106991336[/C][C]0.984928876453932[/C][/ROW]
[ROW][C]0.88[/C][C]102.639094043697[/C][C]0.954829415089178[/C][/ROW]
[ROW][C]0.89[/C][C]102.877644071898[/C][C]0.899202285456148[/C][/ROW]
[ROW][C]0.9[/C][C]103.109724600107[/C][C]0.826016744311109[/C][/ROW]
[ROW][C]0.91[/C][C]103.334633894749[/C][C]0.747978721998178[/C][/ROW]
[ROW][C]0.92[/C][C]103.554134056586[/C][C]0.679561532695362[/C][/ROW]
[ROW][C]0.93[/C][C]103.771456480004[/C][C]0.630980150014372[/C][/ROW]
[ROW][C]0.94[/C][C]103.989085846531[/C][C]0.600767710283714[/C][/ROW]
[ROW][C]0.95[/C][C]104.205786583885[/C][C]0.572810297566286[/C][/ROW]
[ROW][C]0.96[/C][C]104.414057972968[/C][C]0.522171344994988[/C][/ROW]
[ROW][C]0.97[/C][C]104.59979269503[/C][C]0.427630986714186[/C][/ROW]
[ROW][C]0.98[/C][C]104.745785980673[/C][C]0.286754209526447[/C][/ROW]
[ROW][C]0.99[/C][C]104.839197651251[/C][C]0.129438533412799[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0190.74779323155720.435259554775845
0.0290.97143869509280.54933507504111
0.0391.26067478300820.69596471132348
0.0491.58974166542010.839296827018159
0.0591.94047240187480.95259659381237
0.0692.29786411233021.01549195247418
0.0792.64743570977661.01846625047826
0.0892.97581158859130.966268543411714
0.0993.27268863149350.875365741977691
0.193.53234134170210.766648419546775
0.1193.7538546063770.659330365951095
0.1293.94019449056840.566474006083862
0.1394.09668489134380.494353359277686
0.1494.22948779508720.44282931174304
0.1594.34447334956640.408435125347241
0.1694.44660391967270.386563278377333
0.1794.53976264539330.373405200528026
0.1894.62686776147640.366788798436244
0.1994.71011046159320.365674266177556
0.294.79119801819040.369952437454334
0.2194.87154036973930.379748362464408
0.2294.95236546313750.394794618550107
0.2395.03477722639180.414746456327767
0.2495.11978026721260.439123269291824
0.2595.20829228993760.467794185037357
0.2695.30115537485270.5003741663288
0.2795.39914658275690.536940755317158
0.2895.5029809261030.577580133008665
0.2995.61329750117050.622280785207668
0.395.73062242762370.670330392038853
0.3195.85530864508320.720735479720351
0.3295.98746023183460.771674068008015
0.3396.12685530916450.820477956391066
0.3496.27288486393520.864455222339822
0.3596.42452398578460.900604912928892
0.3696.58034719981840.926334708527542
0.3796.73859190445970.93961351434772
0.3896.89726518158040.939304566142775
0.3997.05428140091990.925174565814247
0.497.2076127558420.898314158612228
0.4197.35543312070180.860316230650369
0.4297.49623752734490.813817024236219
0.4397.62892442675940.761478912624586
0.4497.7528344785460.706376026581412
0.4597.86774643880110.651257094004277
0.4697.97383649400750.59834718106051
0.4798.07161123381270.549830587711672
0.4898.161826030820.506746423742689
0.4998.24540007445520.469798761035088
0.598.32333723003050.439305049090947
0.5198.3966589745590.415106434888226
0.5298.46635258999570.396734717637597
0.5398.53333511089620.383598333441008
0.5498.59843154955020.374926819895394
0.5598.66236476816060.37003334069538
0.5698.72575398047740.36832073889243
0.5798.78911908786560.369178039919651
0.5898.85288868311010.371976559096233
0.5998.91741037510460.376328345841537
0.698.98296289447880.381789518167032
0.6199.0497700513680.388031077882343
0.6299.11801688507070.394805818517795
0.6399.18786818345890.401884226834165
0.6499.25948895876490.409481197931384
0.6599.33306556231180.417512170069977
0.6699.40882514408030.426379281419665
0.6799.4870504533850.436398979536626
0.6899.56808690999970.447917662367811
0.6999.65233976382190.461407962269593
0.799.74026113814080.47718775904751
0.7199.83232965651460.495109140566624
0.7299.92902865628640.514995934893235
0.73100.0308317840.536482042433986
0.74100.1382058534650.558982038931088
0.75100.2516389673650.58211923025548
0.76100.37169611260.606005004003373
0.77100.4990946137160.631096901733883
0.78100.6347792134510.658681223538837
0.79100.7799641566860.690277379368975
0.8100.9361022178990.727639986223977
0.81101.1047437918920.771676620169398
0.82101.2872678196990.821779877227305
0.83101.4845019895910.874809605021005
0.84101.6962979191020.925157531900609
0.85101.9211758568420.965310579877934
0.86102.1561838969420.987435616133092
0.87102.3971069913360.984928876453932
0.88102.6390940436970.954829415089178
0.89102.8776440718980.899202285456148
0.9103.1097246001070.826016744311109
0.91103.3346338947490.747978721998178
0.92103.5541340565860.679561532695362
0.93103.7714564800040.630980150014372
0.94103.9890858465310.600767710283714
0.95104.2057865838850.572810297566286
0.96104.4140579729680.522171344994988
0.97104.599792695030.427630986714186
0.98104.7457859806730.286754209526447
0.99104.8391976512510.129438533412799


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ; par2 = no ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')