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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 computationThu, 30 Jul 2015 10:26:04 +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/2015/Jul/30/t1438248512u0dzf1qf7wxq1vv.htm/, Retrieved Thu, 01 Oct 2026 16:47:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279767, Retrieved Thu, 01 Oct 2026 16:47:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact475

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] [] [2015-07-30 09:26:04] [517bf63cbd197750110a40d4d2cd39d6] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
152512
151944
151368
150176
161968
161344
152512
146640
147208
147208
147840
148976
150744
150744
149608
146640
161968
164304
160776
152512
156048
150744
153136
154280
155472
152512
153136
148976
161968
166072
162544
156048
163112
155472
162544
161968
163736
157240
164304
163736
174336
171944
162544
157808
164304
155472
161968
163112
165504
160208
163112
164880
171376
166072
159008
151368
158440
139000
148408
153704
159008
151368
151368
151368
155472
149608
141912
135472
140144
121904
133080
139576
140768
134272
134840
133080
139000
134840
126640
120712
130736
108968
123104
129544
129544
121904
114840
114272
120712
114840
103672
95976
104240
84808
102472
111872
114840
108344
100136
106008
108344
106576
88904
80704
86568
68904
87144
93640
98936
90104
81840
86568
88904
84232
66568
58872
65936
46504
67704
80704

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279767&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279767&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279767&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0153557.8995556689069.41652009662
0.0261307.13129610015974.678712659
0.0366467.8653707675200.20205082246
0.0470345.45002803356072.4748408903
0.0573954.40066641616655.73276018639
0.0677349.038602176270.00385388202
0.0780285.38890963355310.51729755353
0.0882662.21978190894392.98038361871
0.0984577.80189662333868.09051895538
0.186221.92166592923802.8164103141
0.1187778.82165248024117.84586778698
0.1289383.2340030924674.13378672572
0.1391109.26347397495310.02793314559
0.1492973.17155881655873.04810146772
0.1594944.80294932836252.78537945662
0.1696966.25181373676403.87431845903
0.1798973.56332166876348.49297916392
0.18100915.2697833936157.37601426013
0.19102763.0338652455920.05699761776
0.2104513.2320187075716.72739826035
0.21106181.5890513195599.18475575887
0.22107794.5440530165585.55337478928
0.23109380.7995065425665.87033828465
0.24110965.2066190645815.12827880171
0.25112565.6318072476003.98054564772
0.26114192.3175368026206.98031357634
0.27115848.7185524086403.32064142452
0.28117532.810366146577.35986827769
0.29119238.2304560436715.08466886693
0.3120955.0822374356803.45425480897
0.31122670.6022800656830.97037047827
0.32124370.0413853176789.42111144748
0.33126038.0202153776678.09373971042
0.34127660.3612677416504.37514876766
0.35129226.0999373066286.20493692023
0.36130729.1750871866048.29910611814
0.37132169.2855208675819.16207173619
0.38133551.5831856145622.23269245907
0.39134885.18561635472.06085810177
0.4136180.8135002175370.38967120084
0.41137448.087521175305.48691594736
0.42138693.0933804965255.58002607253
0.43139916.7437127395193.7784469854
0.44141114.269022635093.42934633156
0.45142275.9113423984934.60349503117
0.46143388.6302478184707.10166946169
0.47144438.4153379514412.23407102966
0.48145412.6813794624061.81177385809
0.49146302.2350005763676.0793957071
0.5147102.4454389843278.1426695066
0.51147813.4848460542890.20467530925
0.52148439.7518337582530.08213097713
0.53148988.7759794442209.3740580782
0.54149469.9688473211933.19872440356
0.55149893.5340364681702.56771146175
0.56150269.7148192281515.19534641941
0.57150608.4054316731368.99089481541
0.58150919.036627611261.92770088013
0.59151210.5955707111192.25702072322
0.6151491.6502733921158.20678614591
0.61151770.294594421158.20872162753
0.62152053.9838608511188.33585420314
0.63152349.2777516021243.47858329178
0.64152661.5443141691318.03771014607
0.65152994.709468761404.04876791163
0.66153351.1545908311494.41986136388
0.67153731.853304011582.77619014079
0.68154136.7792060311665.32964847383
0.69154565.5104010071741.6381134791
0.7155017.8395304771814.29440410066
0.71155494.1296254171887.10924978179
0.72155995.1896705841963.12931767523
0.73156521.5886521482039.80560257921
0.74157072.5347496922110.42763481251
0.75157644.6343236132162.90618972827
0.76158230.941532122182.04924854033
0.77158820.6864635692154.88888337888
0.78159399.9413919552072.38823515235
0.79159953.2762324931932.71785430144
0.8160466.185189091743.6905703423
0.81160927.7750155291522.6534240443
0.82161332.9874843851293.38082736257
0.83161683.6298919441081.45694290341
0.84161987.806685198908.331465054322
0.85162257.908918284785.751516984827
0.86162507.85415655713.498024679668
0.87162750.471213871681.193112208324
0.88162995.722470783674.153060069559
0.89163250.138006194678.391471681143
0.9163517.770645768684.393359216455
0.91163803.118315494691.121207751418
0.92164116.403975154711.846911883195
0.93164481.993639364775.105154780009
0.94164953.540070243926.943160035278
0.95165639.4966862631259.78659675186
0.96166714.8174211561884.62961518434
0.97168339.1606284952616.01119586834
0.98170470.2203694982765.59870784105
0.99172762.0023120412252.0202232921

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 53557.899555668 & 9069.41652009662 \tabularnewline
0.02 & 61307.1312961001 & 5974.678712659 \tabularnewline
0.03 & 66467.865370767 & 5200.20205082246 \tabularnewline
0.04 & 70345.4500280335 & 6072.4748408903 \tabularnewline
0.05 & 73954.4006664161 & 6655.73276018639 \tabularnewline
0.06 & 77349.03860217 & 6270.00385388202 \tabularnewline
0.07 & 80285.3889096335 & 5310.51729755353 \tabularnewline
0.08 & 82662.2197819089 & 4392.98038361871 \tabularnewline
0.09 & 84577.8018966233 & 3868.09051895538 \tabularnewline
0.1 & 86221.9216659292 & 3802.8164103141 \tabularnewline
0.11 & 87778.8216524802 & 4117.84586778698 \tabularnewline
0.12 & 89383.234003092 & 4674.13378672572 \tabularnewline
0.13 & 91109.2634739749 & 5310.02793314559 \tabularnewline
0.14 & 92973.1715588165 & 5873.04810146772 \tabularnewline
0.15 & 94944.8029493283 & 6252.78537945662 \tabularnewline
0.16 & 96966.2518137367 & 6403.87431845903 \tabularnewline
0.17 & 98973.5633216687 & 6348.49297916392 \tabularnewline
0.18 & 100915.269783393 & 6157.37601426013 \tabularnewline
0.19 & 102763.033865245 & 5920.05699761776 \tabularnewline
0.2 & 104513.232018707 & 5716.72739826035 \tabularnewline
0.21 & 106181.589051319 & 5599.18475575887 \tabularnewline
0.22 & 107794.544053016 & 5585.55337478928 \tabularnewline
0.23 & 109380.799506542 & 5665.87033828465 \tabularnewline
0.24 & 110965.206619064 & 5815.12827880171 \tabularnewline
0.25 & 112565.631807247 & 6003.98054564772 \tabularnewline
0.26 & 114192.317536802 & 6206.98031357634 \tabularnewline
0.27 & 115848.718552408 & 6403.32064142452 \tabularnewline
0.28 & 117532.81036614 & 6577.35986827769 \tabularnewline
0.29 & 119238.230456043 & 6715.08466886693 \tabularnewline
0.3 & 120955.082237435 & 6803.45425480897 \tabularnewline
0.31 & 122670.602280065 & 6830.97037047827 \tabularnewline
0.32 & 124370.041385317 & 6789.42111144748 \tabularnewline
0.33 & 126038.020215377 & 6678.09373971042 \tabularnewline
0.34 & 127660.361267741 & 6504.37514876766 \tabularnewline
0.35 & 129226.099937306 & 6286.20493692023 \tabularnewline
0.36 & 130729.175087186 & 6048.29910611814 \tabularnewline
0.37 & 132169.285520867 & 5819.16207173619 \tabularnewline
0.38 & 133551.583185614 & 5622.23269245907 \tabularnewline
0.39 & 134885.1856163 & 5472.06085810177 \tabularnewline
0.4 & 136180.813500217 & 5370.38967120084 \tabularnewline
0.41 & 137448.08752117 & 5305.48691594736 \tabularnewline
0.42 & 138693.093380496 & 5255.58002607253 \tabularnewline
0.43 & 139916.743712739 & 5193.7784469854 \tabularnewline
0.44 & 141114.26902263 & 5093.42934633156 \tabularnewline
0.45 & 142275.911342398 & 4934.60349503117 \tabularnewline
0.46 & 143388.630247818 & 4707.10166946169 \tabularnewline
0.47 & 144438.415337951 & 4412.23407102966 \tabularnewline
0.48 & 145412.681379462 & 4061.81177385809 \tabularnewline
0.49 & 146302.235000576 & 3676.0793957071 \tabularnewline
0.5 & 147102.445438984 & 3278.1426695066 \tabularnewline
0.51 & 147813.484846054 & 2890.20467530925 \tabularnewline
0.52 & 148439.751833758 & 2530.08213097713 \tabularnewline
0.53 & 148988.775979444 & 2209.3740580782 \tabularnewline
0.54 & 149469.968847321 & 1933.19872440356 \tabularnewline
0.55 & 149893.534036468 & 1702.56771146175 \tabularnewline
0.56 & 150269.714819228 & 1515.19534641941 \tabularnewline
0.57 & 150608.405431673 & 1368.99089481541 \tabularnewline
0.58 & 150919.03662761 & 1261.92770088013 \tabularnewline
0.59 & 151210.595570711 & 1192.25702072322 \tabularnewline
0.6 & 151491.650273392 & 1158.20678614591 \tabularnewline
0.61 & 151770.29459442 & 1158.20872162753 \tabularnewline
0.62 & 152053.983860851 & 1188.33585420314 \tabularnewline
0.63 & 152349.277751602 & 1243.47858329178 \tabularnewline
0.64 & 152661.544314169 & 1318.03771014607 \tabularnewline
0.65 & 152994.70946876 & 1404.04876791163 \tabularnewline
0.66 & 153351.154590831 & 1494.41986136388 \tabularnewline
0.67 & 153731.85330401 & 1582.77619014079 \tabularnewline
0.68 & 154136.779206031 & 1665.32964847383 \tabularnewline
0.69 & 154565.510401007 & 1741.6381134791 \tabularnewline
0.7 & 155017.839530477 & 1814.29440410066 \tabularnewline
0.71 & 155494.129625417 & 1887.10924978179 \tabularnewline
0.72 & 155995.189670584 & 1963.12931767523 \tabularnewline
0.73 & 156521.588652148 & 2039.80560257921 \tabularnewline
0.74 & 157072.534749692 & 2110.42763481251 \tabularnewline
0.75 & 157644.634323613 & 2162.90618972827 \tabularnewline
0.76 & 158230.94153212 & 2182.04924854033 \tabularnewline
0.77 & 158820.686463569 & 2154.88888337888 \tabularnewline
0.78 & 159399.941391955 & 2072.38823515235 \tabularnewline
0.79 & 159953.276232493 & 1932.71785430144 \tabularnewline
0.8 & 160466.18518909 & 1743.6905703423 \tabularnewline
0.81 & 160927.775015529 & 1522.6534240443 \tabularnewline
0.82 & 161332.987484385 & 1293.38082736257 \tabularnewline
0.83 & 161683.629891944 & 1081.45694290341 \tabularnewline
0.84 & 161987.806685198 & 908.331465054322 \tabularnewline
0.85 & 162257.908918284 & 785.751516984827 \tabularnewline
0.86 & 162507.85415655 & 713.498024679668 \tabularnewline
0.87 & 162750.471213871 & 681.193112208324 \tabularnewline
0.88 & 162995.722470783 & 674.153060069559 \tabularnewline
0.89 & 163250.138006194 & 678.391471681143 \tabularnewline
0.9 & 163517.770645768 & 684.393359216455 \tabularnewline
0.91 & 163803.118315494 & 691.121207751418 \tabularnewline
0.92 & 164116.403975154 & 711.846911883195 \tabularnewline
0.93 & 164481.993639364 & 775.105154780009 \tabularnewline
0.94 & 164953.540070243 & 926.943160035278 \tabularnewline
0.95 & 165639.496686263 & 1259.78659675186 \tabularnewline
0.96 & 166714.817421156 & 1884.62961518434 \tabularnewline
0.97 & 168339.160628495 & 2616.01119586834 \tabularnewline
0.98 & 170470.220369498 & 2765.59870784105 \tabularnewline
0.99 & 172762.002312041 & 2252.0202232921 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279767&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]53557.899555668[/C][C]9069.41652009662[/C][/ROW]
[ROW][C]0.02[/C][C]61307.1312961001[/C][C]5974.678712659[/C][/ROW]
[ROW][C]0.03[/C][C]66467.865370767[/C][C]5200.20205082246[/C][/ROW]
[ROW][C]0.04[/C][C]70345.4500280335[/C][C]6072.4748408903[/C][/ROW]
[ROW][C]0.05[/C][C]73954.4006664161[/C][C]6655.73276018639[/C][/ROW]
[ROW][C]0.06[/C][C]77349.03860217[/C][C]6270.00385388202[/C][/ROW]
[ROW][C]0.07[/C][C]80285.3889096335[/C][C]5310.51729755353[/C][/ROW]
[ROW][C]0.08[/C][C]82662.2197819089[/C][C]4392.98038361871[/C][/ROW]
[ROW][C]0.09[/C][C]84577.8018966233[/C][C]3868.09051895538[/C][/ROW]
[ROW][C]0.1[/C][C]86221.9216659292[/C][C]3802.8164103141[/C][/ROW]
[ROW][C]0.11[/C][C]87778.8216524802[/C][C]4117.84586778698[/C][/ROW]
[ROW][C]0.12[/C][C]89383.234003092[/C][C]4674.13378672572[/C][/ROW]
[ROW][C]0.13[/C][C]91109.2634739749[/C][C]5310.02793314559[/C][/ROW]
[ROW][C]0.14[/C][C]92973.1715588165[/C][C]5873.04810146772[/C][/ROW]
[ROW][C]0.15[/C][C]94944.8029493283[/C][C]6252.78537945662[/C][/ROW]
[ROW][C]0.16[/C][C]96966.2518137367[/C][C]6403.87431845903[/C][/ROW]
[ROW][C]0.17[/C][C]98973.5633216687[/C][C]6348.49297916392[/C][/ROW]
[ROW][C]0.18[/C][C]100915.269783393[/C][C]6157.37601426013[/C][/ROW]
[ROW][C]0.19[/C][C]102763.033865245[/C][C]5920.05699761776[/C][/ROW]
[ROW][C]0.2[/C][C]104513.232018707[/C][C]5716.72739826035[/C][/ROW]
[ROW][C]0.21[/C][C]106181.589051319[/C][C]5599.18475575887[/C][/ROW]
[ROW][C]0.22[/C][C]107794.544053016[/C][C]5585.55337478928[/C][/ROW]
[ROW][C]0.23[/C][C]109380.799506542[/C][C]5665.87033828465[/C][/ROW]
[ROW][C]0.24[/C][C]110965.206619064[/C][C]5815.12827880171[/C][/ROW]
[ROW][C]0.25[/C][C]112565.631807247[/C][C]6003.98054564772[/C][/ROW]
[ROW][C]0.26[/C][C]114192.317536802[/C][C]6206.98031357634[/C][/ROW]
[ROW][C]0.27[/C][C]115848.718552408[/C][C]6403.32064142452[/C][/ROW]
[ROW][C]0.28[/C][C]117532.81036614[/C][C]6577.35986827769[/C][/ROW]
[ROW][C]0.29[/C][C]119238.230456043[/C][C]6715.08466886693[/C][/ROW]
[ROW][C]0.3[/C][C]120955.082237435[/C][C]6803.45425480897[/C][/ROW]
[ROW][C]0.31[/C][C]122670.602280065[/C][C]6830.97037047827[/C][/ROW]
[ROW][C]0.32[/C][C]124370.041385317[/C][C]6789.42111144748[/C][/ROW]
[ROW][C]0.33[/C][C]126038.020215377[/C][C]6678.09373971042[/C][/ROW]
[ROW][C]0.34[/C][C]127660.361267741[/C][C]6504.37514876766[/C][/ROW]
[ROW][C]0.35[/C][C]129226.099937306[/C][C]6286.20493692023[/C][/ROW]
[ROW][C]0.36[/C][C]130729.175087186[/C][C]6048.29910611814[/C][/ROW]
[ROW][C]0.37[/C][C]132169.285520867[/C][C]5819.16207173619[/C][/ROW]
[ROW][C]0.38[/C][C]133551.583185614[/C][C]5622.23269245907[/C][/ROW]
[ROW][C]0.39[/C][C]134885.1856163[/C][C]5472.06085810177[/C][/ROW]
[ROW][C]0.4[/C][C]136180.813500217[/C][C]5370.38967120084[/C][/ROW]
[ROW][C]0.41[/C][C]137448.08752117[/C][C]5305.48691594736[/C][/ROW]
[ROW][C]0.42[/C][C]138693.093380496[/C][C]5255.58002607253[/C][/ROW]
[ROW][C]0.43[/C][C]139916.743712739[/C][C]5193.7784469854[/C][/ROW]
[ROW][C]0.44[/C][C]141114.26902263[/C][C]5093.42934633156[/C][/ROW]
[ROW][C]0.45[/C][C]142275.911342398[/C][C]4934.60349503117[/C][/ROW]
[ROW][C]0.46[/C][C]143388.630247818[/C][C]4707.10166946169[/C][/ROW]
[ROW][C]0.47[/C][C]144438.415337951[/C][C]4412.23407102966[/C][/ROW]
[ROW][C]0.48[/C][C]145412.681379462[/C][C]4061.81177385809[/C][/ROW]
[ROW][C]0.49[/C][C]146302.235000576[/C][C]3676.0793957071[/C][/ROW]
[ROW][C]0.5[/C][C]147102.445438984[/C][C]3278.1426695066[/C][/ROW]
[ROW][C]0.51[/C][C]147813.484846054[/C][C]2890.20467530925[/C][/ROW]
[ROW][C]0.52[/C][C]148439.751833758[/C][C]2530.08213097713[/C][/ROW]
[ROW][C]0.53[/C][C]148988.775979444[/C][C]2209.3740580782[/C][/ROW]
[ROW][C]0.54[/C][C]149469.968847321[/C][C]1933.19872440356[/C][/ROW]
[ROW][C]0.55[/C][C]149893.534036468[/C][C]1702.56771146175[/C][/ROW]
[ROW][C]0.56[/C][C]150269.714819228[/C][C]1515.19534641941[/C][/ROW]
[ROW][C]0.57[/C][C]150608.405431673[/C][C]1368.99089481541[/C][/ROW]
[ROW][C]0.58[/C][C]150919.03662761[/C][C]1261.92770088013[/C][/ROW]
[ROW][C]0.59[/C][C]151210.595570711[/C][C]1192.25702072322[/C][/ROW]
[ROW][C]0.6[/C][C]151491.650273392[/C][C]1158.20678614591[/C][/ROW]
[ROW][C]0.61[/C][C]151770.29459442[/C][C]1158.20872162753[/C][/ROW]
[ROW][C]0.62[/C][C]152053.983860851[/C][C]1188.33585420314[/C][/ROW]
[ROW][C]0.63[/C][C]152349.277751602[/C][C]1243.47858329178[/C][/ROW]
[ROW][C]0.64[/C][C]152661.544314169[/C][C]1318.03771014607[/C][/ROW]
[ROW][C]0.65[/C][C]152994.70946876[/C][C]1404.04876791163[/C][/ROW]
[ROW][C]0.66[/C][C]153351.154590831[/C][C]1494.41986136388[/C][/ROW]
[ROW][C]0.67[/C][C]153731.85330401[/C][C]1582.77619014079[/C][/ROW]
[ROW][C]0.68[/C][C]154136.779206031[/C][C]1665.32964847383[/C][/ROW]
[ROW][C]0.69[/C][C]154565.510401007[/C][C]1741.6381134791[/C][/ROW]
[ROW][C]0.7[/C][C]155017.839530477[/C][C]1814.29440410066[/C][/ROW]
[ROW][C]0.71[/C][C]155494.129625417[/C][C]1887.10924978179[/C][/ROW]
[ROW][C]0.72[/C][C]155995.189670584[/C][C]1963.12931767523[/C][/ROW]
[ROW][C]0.73[/C][C]156521.588652148[/C][C]2039.80560257921[/C][/ROW]
[ROW][C]0.74[/C][C]157072.534749692[/C][C]2110.42763481251[/C][/ROW]
[ROW][C]0.75[/C][C]157644.634323613[/C][C]2162.90618972827[/C][/ROW]
[ROW][C]0.76[/C][C]158230.94153212[/C][C]2182.04924854033[/C][/ROW]
[ROW][C]0.77[/C][C]158820.686463569[/C][C]2154.88888337888[/C][/ROW]
[ROW][C]0.78[/C][C]159399.941391955[/C][C]2072.38823515235[/C][/ROW]
[ROW][C]0.79[/C][C]159953.276232493[/C][C]1932.71785430144[/C][/ROW]
[ROW][C]0.8[/C][C]160466.18518909[/C][C]1743.6905703423[/C][/ROW]
[ROW][C]0.81[/C][C]160927.775015529[/C][C]1522.6534240443[/C][/ROW]
[ROW][C]0.82[/C][C]161332.987484385[/C][C]1293.38082736257[/C][/ROW]
[ROW][C]0.83[/C][C]161683.629891944[/C][C]1081.45694290341[/C][/ROW]
[ROW][C]0.84[/C][C]161987.806685198[/C][C]908.331465054322[/C][/ROW]
[ROW][C]0.85[/C][C]162257.908918284[/C][C]785.751516984827[/C][/ROW]
[ROW][C]0.86[/C][C]162507.85415655[/C][C]713.498024679668[/C][/ROW]
[ROW][C]0.87[/C][C]162750.471213871[/C][C]681.193112208324[/C][/ROW]
[ROW][C]0.88[/C][C]162995.722470783[/C][C]674.153060069559[/C][/ROW]
[ROW][C]0.89[/C][C]163250.138006194[/C][C]678.391471681143[/C][/ROW]
[ROW][C]0.9[/C][C]163517.770645768[/C][C]684.393359216455[/C][/ROW]
[ROW][C]0.91[/C][C]163803.118315494[/C][C]691.121207751418[/C][/ROW]
[ROW][C]0.92[/C][C]164116.403975154[/C][C]711.846911883195[/C][/ROW]
[ROW][C]0.93[/C][C]164481.993639364[/C][C]775.105154780009[/C][/ROW]
[ROW][C]0.94[/C][C]164953.540070243[/C][C]926.943160035278[/C][/ROW]
[ROW][C]0.95[/C][C]165639.496686263[/C][C]1259.78659675186[/C][/ROW]
[ROW][C]0.96[/C][C]166714.817421156[/C][C]1884.62961518434[/C][/ROW]
[ROW][C]0.97[/C][C]168339.160628495[/C][C]2616.01119586834[/C][/ROW]
[ROW][C]0.98[/C][C]170470.220369498[/C][C]2765.59870784105[/C][/ROW]
[ROW][C]0.99[/C][C]172762.002312041[/C][C]2252.0202232921[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279767&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279767&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
0.0153557.8995556689069.41652009662
0.0261307.13129610015974.678712659
0.0366467.8653707675200.20205082246
0.0470345.45002803356072.4748408903
0.0573954.40066641616655.73276018639
0.0677349.038602176270.00385388202
0.0780285.38890963355310.51729755353
0.0882662.21978190894392.98038361871
0.0984577.80189662333868.09051895538
0.186221.92166592923802.8164103141
0.1187778.82165248024117.84586778698
0.1289383.2340030924674.13378672572
0.1391109.26347397495310.02793314559
0.1492973.17155881655873.04810146772
0.1594944.80294932836252.78537945662
0.1696966.25181373676403.87431845903
0.1798973.56332166876348.49297916392
0.18100915.2697833936157.37601426013
0.19102763.0338652455920.05699761776
0.2104513.2320187075716.72739826035
0.21106181.5890513195599.18475575887
0.22107794.5440530165585.55337478928
0.23109380.7995065425665.87033828465
0.24110965.2066190645815.12827880171
0.25112565.6318072476003.98054564772
0.26114192.3175368026206.98031357634
0.27115848.7185524086403.32064142452
0.28117532.810366146577.35986827769
0.29119238.2304560436715.08466886693
0.3120955.0822374356803.45425480897
0.31122670.6022800656830.97037047827
0.32124370.0413853176789.42111144748
0.33126038.0202153776678.09373971042
0.34127660.3612677416504.37514876766
0.35129226.0999373066286.20493692023
0.36130729.1750871866048.29910611814
0.37132169.2855208675819.16207173619
0.38133551.5831856145622.23269245907
0.39134885.18561635472.06085810177
0.4136180.8135002175370.38967120084
0.41137448.087521175305.48691594736
0.42138693.0933804965255.58002607253
0.43139916.7437127395193.7784469854
0.44141114.269022635093.42934633156
0.45142275.9113423984934.60349503117
0.46143388.6302478184707.10166946169
0.47144438.4153379514412.23407102966
0.48145412.6813794624061.81177385809
0.49146302.2350005763676.0793957071
0.5147102.4454389843278.1426695066
0.51147813.4848460542890.20467530925
0.52148439.7518337582530.08213097713
0.53148988.7759794442209.3740580782
0.54149469.9688473211933.19872440356
0.55149893.5340364681702.56771146175
0.56150269.7148192281515.19534641941
0.57150608.4054316731368.99089481541
0.58150919.036627611261.92770088013
0.59151210.5955707111192.25702072322
0.6151491.6502733921158.20678614591
0.61151770.294594421158.20872162753
0.62152053.9838608511188.33585420314
0.63152349.2777516021243.47858329178
0.64152661.5443141691318.03771014607
0.65152994.709468761404.04876791163
0.66153351.1545908311494.41986136388
0.67153731.853304011582.77619014079
0.68154136.7792060311665.32964847383
0.69154565.5104010071741.6381134791
0.7155017.8395304771814.29440410066
0.71155494.1296254171887.10924978179
0.72155995.1896705841963.12931767523
0.73156521.5886521482039.80560257921
0.74157072.5347496922110.42763481251
0.75157644.6343236132162.90618972827
0.76158230.941532122182.04924854033
0.77158820.6864635692154.88888337888
0.78159399.9413919552072.38823515235
0.79159953.2762324931932.71785430144
0.8160466.185189091743.6905703423
0.81160927.7750155291522.6534240443
0.82161332.9874843851293.38082736257
0.83161683.6298919441081.45694290341
0.84161987.806685198908.331465054322
0.85162257.908918284785.751516984827
0.86162507.85415655713.498024679668
0.87162750.471213871681.193112208324
0.88162995.722470783674.153060069559
0.89163250.138006194678.391471681143
0.9163517.770645768684.393359216455
0.91163803.118315494691.121207751418
0.92164116.403975154711.846911883195
0.93164481.993639364775.105154780009
0.94164953.540070243926.943160035278
0.95165639.4966862631259.78659675186
0.96166714.8174211561884.62961518434
0.97168339.1606284952616.01119586834
0.98170470.2203694982765.59870784105
0.99172762.0023120412252.0202232921


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 <- '0.1'
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')