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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 computationMon, 16 Aug 2010 11:20:15 +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/2010/Aug/16/t12819575823vuyq11nsu56hov.htm/, Retrieved Thu, 16 May 2024 05:04:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78960, Retrieved Thu, 16 May 2024 05:04:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsSebastien Delforge
Estimated Impact168

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] [percentielen aant...] [2010-08-16 11:20:15] [923770d86edf74ed976a539eae527e37] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
152
151
150
148
146
145
146
148
149
149
150
152
154
164
167
162
164
172
169
174
181
181
172
181
183
200
199
190
197
194
190
195
204
197
185
193
192
211
210
197
191
182
170
166
175
163
153
171
165
184
179
163
163
148
132
127
130
118
113
137
133
155
151
132
134
118
102
98
91
77
74
102
98
113
114
96
102
90
72
67
62
48
43
75

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78960&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78960&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78960&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0146.16177016438517.3669704047212
0.0251.67886352998449.7445159341769
0.0357.78903459073659.9230918879317
0.0463.31081576378868.84405298473351
0.0567.90431375119667.88902083502805
0.0671.74600157923677.66689101326638
0.0775.16578922677938.10929355014498
0.0878.42970747436958.83250507650984
0.0981.66712803963079.44661158453639
0.184.88630486034589.71772851723
0.1188.0274427148019.60472887244292
0.1291.01882609592389.21988941848852
0.1393.8158442293078.74940865870963
0.1496.41596818347168.37219467310647
0.1598.85348062293848.2020418408657
0.16101.1832819861138.26602743840114
0.17103.4631194481198.52112263037177
0.18105.7403007466888.89014592833281
0.19108.0450241042819.294596635883
0.2110.3895730249099.67232880779626
0.21112.7712862895029.98170109012872
0.22115.17713445760410.1995060701295
0.23117.58834043907510.3162047280796
0.24119.98423626817110.3317336186636
0.25122.34511041561710.2544622850264
0.26124.65406372516310.0994289666503
0.27126.8979358134419.8854927767615
0.28129.0673452376829.63178516879473
0.29131.1559319388139.3519802137309
0.3133.1590278519429.0507041349126
0.31135.0721450719888.72197483557374
0.32136.8897568887558.35326210371796
0.33138.6047837803327.93100702509182
0.34140.2089868208087.44690245363599
0.35141.6941887058256.90322170932676
0.36143.0539929248586.31361244525798
0.37144.2855409537665.70261000586317
0.38145.3908685501365.10089076387802
0.39146.3775683264014.54150813707474
0.4147.258669708174.05499052822725
0.41148.0518342885273.66682475989221
0.42148.7780807389293.39499033093256
0.43149.4602812695493.24798928984768
0.44150.1216282291053.22528163762048
0.45150.7841928112793.31690039061418
0.46151.4676286783583.50532983634971
0.47152.1880394610213.76690228917308
0.48152.9570373537584.07371171210571
0.49153.7810566048244.39607598793564
0.5154.6610237549634.702952225204
0.51155.5924975662154.96612455977301
0.52156.5663570882495.16229036406311
0.53157.5700352090805.27666777080035
0.54158.5891854319465.30398385691568
0.55159.6095634010805.25055034110732
0.56160.6188369030255.13218747196105
0.57161.6080344561644.97206874381062
0.58162.5724098440764.79689052206668
0.59163.5116221594204.63255139164517
0.6164.4292740735594.49982890819001
0.61165.3319740007494.41163676227968
0.62166.2281562507714.37309103563928
0.63167.1268914864954.38216561605947
0.64168.0368563371624.43184685112432
0.65168.9655355814414.51305061911188
0.66169.9186430173244.61548932886612
0.67170.8997032635654.72802932200476
0.68171.9097523162174.83837287758107
0.69172.9471783146954.93320762011837
0.7174.0077989108944.99932808116369
0.71175.0853089357915.0250785095839
0.72176.1721913995415.00430321368422
0.73177.2610557830424.9382707826886
0.74178.3461819507994.83784642439912
0.75179.424876134524.72183282149521
0.76180.4981734936294.61312528148127
0.77181.5705161248784.53234893689892
0.78182.6483064629594.48985299294652
0.79183.7376178181294.48014686047757
0.8184.841702951664.48335052791989
0.81185.9591198220534.47026112816701
0.82187.0831741356044.41288442962890
0.83188.2029521456074.29326699855181
0.84189.3056181215094.10932050404919
0.85190.3791324421413.87321283831830
0.86191.4143914593343.60711852304935
0.87192.4061752790273.33275243628704
0.88193.3531498971093.0648580386375
0.89194.2581453052872.81022533014267
0.9195.1304694959892.57620328523315
0.91195.9916586803932.38661610729645
0.92196.8847124264322.29469964870794
0.93197.8846056078552.38160912559533
0.94199.1040221973322.72577657446827
0.95200.6809146345093.34556619463339
0.96202.7248797590444.11422654404942
0.97205.2039656259544.63670137410793
0.98207.8079867589534.2488728848228
0.99209.9350328750772.614246029199

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 46.1617701643851 & 7.3669704047212 \tabularnewline
0.02 & 51.6788635299844 & 9.7445159341769 \tabularnewline
0.03 & 57.7890345907365 & 9.9230918879317 \tabularnewline
0.04 & 63.3108157637886 & 8.84405298473351 \tabularnewline
0.05 & 67.9043137511966 & 7.88902083502805 \tabularnewline
0.06 & 71.7460015792367 & 7.66689101326638 \tabularnewline
0.07 & 75.1657892267793 & 8.10929355014498 \tabularnewline
0.08 & 78.4297074743695 & 8.83250507650984 \tabularnewline
0.09 & 81.6671280396307 & 9.44661158453639 \tabularnewline
0.1 & 84.8863048603458 & 9.71772851723 \tabularnewline
0.11 & 88.027442714801 & 9.60472887244292 \tabularnewline
0.12 & 91.0188260959238 & 9.21988941848852 \tabularnewline
0.13 & 93.815844229307 & 8.74940865870963 \tabularnewline
0.14 & 96.4159681834716 & 8.37219467310647 \tabularnewline
0.15 & 98.8534806229384 & 8.2020418408657 \tabularnewline
0.16 & 101.183281986113 & 8.26602743840114 \tabularnewline
0.17 & 103.463119448119 & 8.52112263037177 \tabularnewline
0.18 & 105.740300746688 & 8.89014592833281 \tabularnewline
0.19 & 108.045024104281 & 9.294596635883 \tabularnewline
0.2 & 110.389573024909 & 9.67232880779626 \tabularnewline
0.21 & 112.771286289502 & 9.98170109012872 \tabularnewline
0.22 & 115.177134457604 & 10.1995060701295 \tabularnewline
0.23 & 117.588340439075 & 10.3162047280796 \tabularnewline
0.24 & 119.984236268171 & 10.3317336186636 \tabularnewline
0.25 & 122.345110415617 & 10.2544622850264 \tabularnewline
0.26 & 124.654063725163 & 10.0994289666503 \tabularnewline
0.27 & 126.897935813441 & 9.8854927767615 \tabularnewline
0.28 & 129.067345237682 & 9.63178516879473 \tabularnewline
0.29 & 131.155931938813 & 9.3519802137309 \tabularnewline
0.3 & 133.159027851942 & 9.0507041349126 \tabularnewline
0.31 & 135.072145071988 & 8.72197483557374 \tabularnewline
0.32 & 136.889756888755 & 8.35326210371796 \tabularnewline
0.33 & 138.604783780332 & 7.93100702509182 \tabularnewline
0.34 & 140.208986820808 & 7.44690245363599 \tabularnewline
0.35 & 141.694188705825 & 6.90322170932676 \tabularnewline
0.36 & 143.053992924858 & 6.31361244525798 \tabularnewline
0.37 & 144.285540953766 & 5.70261000586317 \tabularnewline
0.38 & 145.390868550136 & 5.10089076387802 \tabularnewline
0.39 & 146.377568326401 & 4.54150813707474 \tabularnewline
0.4 & 147.25866970817 & 4.05499052822725 \tabularnewline
0.41 & 148.051834288527 & 3.66682475989221 \tabularnewline
0.42 & 148.778080738929 & 3.39499033093256 \tabularnewline
0.43 & 149.460281269549 & 3.24798928984768 \tabularnewline
0.44 & 150.121628229105 & 3.22528163762048 \tabularnewline
0.45 & 150.784192811279 & 3.31690039061418 \tabularnewline
0.46 & 151.467628678358 & 3.50532983634971 \tabularnewline
0.47 & 152.188039461021 & 3.76690228917308 \tabularnewline
0.48 & 152.957037353758 & 4.07371171210571 \tabularnewline
0.49 & 153.781056604824 & 4.39607598793564 \tabularnewline
0.5 & 154.661023754963 & 4.702952225204 \tabularnewline
0.51 & 155.592497566215 & 4.96612455977301 \tabularnewline
0.52 & 156.566357088249 & 5.16229036406311 \tabularnewline
0.53 & 157.570035209080 & 5.27666777080035 \tabularnewline
0.54 & 158.589185431946 & 5.30398385691568 \tabularnewline
0.55 & 159.609563401080 & 5.25055034110732 \tabularnewline
0.56 & 160.618836903025 & 5.13218747196105 \tabularnewline
0.57 & 161.608034456164 & 4.97206874381062 \tabularnewline
0.58 & 162.572409844076 & 4.79689052206668 \tabularnewline
0.59 & 163.511622159420 & 4.63255139164517 \tabularnewline
0.6 & 164.429274073559 & 4.49982890819001 \tabularnewline
0.61 & 165.331974000749 & 4.41163676227968 \tabularnewline
0.62 & 166.228156250771 & 4.37309103563928 \tabularnewline
0.63 & 167.126891486495 & 4.38216561605947 \tabularnewline
0.64 & 168.036856337162 & 4.43184685112432 \tabularnewline
0.65 & 168.965535581441 & 4.51305061911188 \tabularnewline
0.66 & 169.918643017324 & 4.61548932886612 \tabularnewline
0.67 & 170.899703263565 & 4.72802932200476 \tabularnewline
0.68 & 171.909752316217 & 4.83837287758107 \tabularnewline
0.69 & 172.947178314695 & 4.93320762011837 \tabularnewline
0.7 & 174.007798910894 & 4.99932808116369 \tabularnewline
0.71 & 175.085308935791 & 5.0250785095839 \tabularnewline
0.72 & 176.172191399541 & 5.00430321368422 \tabularnewline
0.73 & 177.261055783042 & 4.9382707826886 \tabularnewline
0.74 & 178.346181950799 & 4.83784642439912 \tabularnewline
0.75 & 179.42487613452 & 4.72183282149521 \tabularnewline
0.76 & 180.498173493629 & 4.61312528148127 \tabularnewline
0.77 & 181.570516124878 & 4.53234893689892 \tabularnewline
0.78 & 182.648306462959 & 4.48985299294652 \tabularnewline
0.79 & 183.737617818129 & 4.48014686047757 \tabularnewline
0.8 & 184.84170295166 & 4.48335052791989 \tabularnewline
0.81 & 185.959119822053 & 4.47026112816701 \tabularnewline
0.82 & 187.083174135604 & 4.41288442962890 \tabularnewline
0.83 & 188.202952145607 & 4.29326699855181 \tabularnewline
0.84 & 189.305618121509 & 4.10932050404919 \tabularnewline
0.85 & 190.379132442141 & 3.87321283831830 \tabularnewline
0.86 & 191.414391459334 & 3.60711852304935 \tabularnewline
0.87 & 192.406175279027 & 3.33275243628704 \tabularnewline
0.88 & 193.353149897109 & 3.0648580386375 \tabularnewline
0.89 & 194.258145305287 & 2.81022533014267 \tabularnewline
0.9 & 195.130469495989 & 2.57620328523315 \tabularnewline
0.91 & 195.991658680393 & 2.38661610729645 \tabularnewline
0.92 & 196.884712426432 & 2.29469964870794 \tabularnewline
0.93 & 197.884605607855 & 2.38160912559533 \tabularnewline
0.94 & 199.104022197332 & 2.72577657446827 \tabularnewline
0.95 & 200.680914634509 & 3.34556619463339 \tabularnewline
0.96 & 202.724879759044 & 4.11422654404942 \tabularnewline
0.97 & 205.203965625954 & 4.63670137410793 \tabularnewline
0.98 & 207.807986758953 & 4.2488728848228 \tabularnewline
0.99 & 209.935032875077 & 2.614246029199 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78960&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]46.1617701643851[/C][C]7.3669704047212[/C][/ROW]
[ROW][C]0.02[/C][C]51.6788635299844[/C][C]9.7445159341769[/C][/ROW]
[ROW][C]0.03[/C][C]57.7890345907365[/C][C]9.9230918879317[/C][/ROW]
[ROW][C]0.04[/C][C]63.3108157637886[/C][C]8.84405298473351[/C][/ROW]
[ROW][C]0.05[/C][C]67.9043137511966[/C][C]7.88902083502805[/C][/ROW]
[ROW][C]0.06[/C][C]71.7460015792367[/C][C]7.66689101326638[/C][/ROW]
[ROW][C]0.07[/C][C]75.1657892267793[/C][C]8.10929355014498[/C][/ROW]
[ROW][C]0.08[/C][C]78.4297074743695[/C][C]8.83250507650984[/C][/ROW]
[ROW][C]0.09[/C][C]81.6671280396307[/C][C]9.44661158453639[/C][/ROW]
[ROW][C]0.1[/C][C]84.8863048603458[/C][C]9.71772851723[/C][/ROW]
[ROW][C]0.11[/C][C]88.027442714801[/C][C]9.60472887244292[/C][/ROW]
[ROW][C]0.12[/C][C]91.0188260959238[/C][C]9.21988941848852[/C][/ROW]
[ROW][C]0.13[/C][C]93.815844229307[/C][C]8.74940865870963[/C][/ROW]
[ROW][C]0.14[/C][C]96.4159681834716[/C][C]8.37219467310647[/C][/ROW]
[ROW][C]0.15[/C][C]98.8534806229384[/C][C]8.2020418408657[/C][/ROW]
[ROW][C]0.16[/C][C]101.183281986113[/C][C]8.26602743840114[/C][/ROW]
[ROW][C]0.17[/C][C]103.463119448119[/C][C]8.52112263037177[/C][/ROW]
[ROW][C]0.18[/C][C]105.740300746688[/C][C]8.89014592833281[/C][/ROW]
[ROW][C]0.19[/C][C]108.045024104281[/C][C]9.294596635883[/C][/ROW]
[ROW][C]0.2[/C][C]110.389573024909[/C][C]9.67232880779626[/C][/ROW]
[ROW][C]0.21[/C][C]112.771286289502[/C][C]9.98170109012872[/C][/ROW]
[ROW][C]0.22[/C][C]115.177134457604[/C][C]10.1995060701295[/C][/ROW]
[ROW][C]0.23[/C][C]117.588340439075[/C][C]10.3162047280796[/C][/ROW]
[ROW][C]0.24[/C][C]119.984236268171[/C][C]10.3317336186636[/C][/ROW]
[ROW][C]0.25[/C][C]122.345110415617[/C][C]10.2544622850264[/C][/ROW]
[ROW][C]0.26[/C][C]124.654063725163[/C][C]10.0994289666503[/C][/ROW]
[ROW][C]0.27[/C][C]126.897935813441[/C][C]9.8854927767615[/C][/ROW]
[ROW][C]0.28[/C][C]129.067345237682[/C][C]9.63178516879473[/C][/ROW]
[ROW][C]0.29[/C][C]131.155931938813[/C][C]9.3519802137309[/C][/ROW]
[ROW][C]0.3[/C][C]133.159027851942[/C][C]9.0507041349126[/C][/ROW]
[ROW][C]0.31[/C][C]135.072145071988[/C][C]8.72197483557374[/C][/ROW]
[ROW][C]0.32[/C][C]136.889756888755[/C][C]8.35326210371796[/C][/ROW]
[ROW][C]0.33[/C][C]138.604783780332[/C][C]7.93100702509182[/C][/ROW]
[ROW][C]0.34[/C][C]140.208986820808[/C][C]7.44690245363599[/C][/ROW]
[ROW][C]0.35[/C][C]141.694188705825[/C][C]6.90322170932676[/C][/ROW]
[ROW][C]0.36[/C][C]143.053992924858[/C][C]6.31361244525798[/C][/ROW]
[ROW][C]0.37[/C][C]144.285540953766[/C][C]5.70261000586317[/C][/ROW]
[ROW][C]0.38[/C][C]145.390868550136[/C][C]5.10089076387802[/C][/ROW]
[ROW][C]0.39[/C][C]146.377568326401[/C][C]4.54150813707474[/C][/ROW]
[ROW][C]0.4[/C][C]147.25866970817[/C][C]4.05499052822725[/C][/ROW]
[ROW][C]0.41[/C][C]148.051834288527[/C][C]3.66682475989221[/C][/ROW]
[ROW][C]0.42[/C][C]148.778080738929[/C][C]3.39499033093256[/C][/ROW]
[ROW][C]0.43[/C][C]149.460281269549[/C][C]3.24798928984768[/C][/ROW]
[ROW][C]0.44[/C][C]150.121628229105[/C][C]3.22528163762048[/C][/ROW]
[ROW][C]0.45[/C][C]150.784192811279[/C][C]3.31690039061418[/C][/ROW]
[ROW][C]0.46[/C][C]151.467628678358[/C][C]3.50532983634971[/C][/ROW]
[ROW][C]0.47[/C][C]152.188039461021[/C][C]3.76690228917308[/C][/ROW]
[ROW][C]0.48[/C][C]152.957037353758[/C][C]4.07371171210571[/C][/ROW]
[ROW][C]0.49[/C][C]153.781056604824[/C][C]4.39607598793564[/C][/ROW]
[ROW][C]0.5[/C][C]154.661023754963[/C][C]4.702952225204[/C][/ROW]
[ROW][C]0.51[/C][C]155.592497566215[/C][C]4.96612455977301[/C][/ROW]
[ROW][C]0.52[/C][C]156.566357088249[/C][C]5.16229036406311[/C][/ROW]
[ROW][C]0.53[/C][C]157.570035209080[/C][C]5.27666777080035[/C][/ROW]
[ROW][C]0.54[/C][C]158.589185431946[/C][C]5.30398385691568[/C][/ROW]
[ROW][C]0.55[/C][C]159.609563401080[/C][C]5.25055034110732[/C][/ROW]
[ROW][C]0.56[/C][C]160.618836903025[/C][C]5.13218747196105[/C][/ROW]
[ROW][C]0.57[/C][C]161.608034456164[/C][C]4.97206874381062[/C][/ROW]
[ROW][C]0.58[/C][C]162.572409844076[/C][C]4.79689052206668[/C][/ROW]
[ROW][C]0.59[/C][C]163.511622159420[/C][C]4.63255139164517[/C][/ROW]
[ROW][C]0.6[/C][C]164.429274073559[/C][C]4.49982890819001[/C][/ROW]
[ROW][C]0.61[/C][C]165.331974000749[/C][C]4.41163676227968[/C][/ROW]
[ROW][C]0.62[/C][C]166.228156250771[/C][C]4.37309103563928[/C][/ROW]
[ROW][C]0.63[/C][C]167.126891486495[/C][C]4.38216561605947[/C][/ROW]
[ROW][C]0.64[/C][C]168.036856337162[/C][C]4.43184685112432[/C][/ROW]
[ROW][C]0.65[/C][C]168.965535581441[/C][C]4.51305061911188[/C][/ROW]
[ROW][C]0.66[/C][C]169.918643017324[/C][C]4.61548932886612[/C][/ROW]
[ROW][C]0.67[/C][C]170.899703263565[/C][C]4.72802932200476[/C][/ROW]
[ROW][C]0.68[/C][C]171.909752316217[/C][C]4.83837287758107[/C][/ROW]
[ROW][C]0.69[/C][C]172.947178314695[/C][C]4.93320762011837[/C][/ROW]
[ROW][C]0.7[/C][C]174.007798910894[/C][C]4.99932808116369[/C][/ROW]
[ROW][C]0.71[/C][C]175.085308935791[/C][C]5.0250785095839[/C][/ROW]
[ROW][C]0.72[/C][C]176.172191399541[/C][C]5.00430321368422[/C][/ROW]
[ROW][C]0.73[/C][C]177.261055783042[/C][C]4.9382707826886[/C][/ROW]
[ROW][C]0.74[/C][C]178.346181950799[/C][C]4.83784642439912[/C][/ROW]
[ROW][C]0.75[/C][C]179.42487613452[/C][C]4.72183282149521[/C][/ROW]
[ROW][C]0.76[/C][C]180.498173493629[/C][C]4.61312528148127[/C][/ROW]
[ROW][C]0.77[/C][C]181.570516124878[/C][C]4.53234893689892[/C][/ROW]
[ROW][C]0.78[/C][C]182.648306462959[/C][C]4.48985299294652[/C][/ROW]
[ROW][C]0.79[/C][C]183.737617818129[/C][C]4.48014686047757[/C][/ROW]
[ROW][C]0.8[/C][C]184.84170295166[/C][C]4.48335052791989[/C][/ROW]
[ROW][C]0.81[/C][C]185.959119822053[/C][C]4.47026112816701[/C][/ROW]
[ROW][C]0.82[/C][C]187.083174135604[/C][C]4.41288442962890[/C][/ROW]
[ROW][C]0.83[/C][C]188.202952145607[/C][C]4.29326699855181[/C][/ROW]
[ROW][C]0.84[/C][C]189.305618121509[/C][C]4.10932050404919[/C][/ROW]
[ROW][C]0.85[/C][C]190.379132442141[/C][C]3.87321283831830[/C][/ROW]
[ROW][C]0.86[/C][C]191.414391459334[/C][C]3.60711852304935[/C][/ROW]
[ROW][C]0.87[/C][C]192.406175279027[/C][C]3.33275243628704[/C][/ROW]
[ROW][C]0.88[/C][C]193.353149897109[/C][C]3.0648580386375[/C][/ROW]
[ROW][C]0.89[/C][C]194.258145305287[/C][C]2.81022533014267[/C][/ROW]
[ROW][C]0.9[/C][C]195.130469495989[/C][C]2.57620328523315[/C][/ROW]
[ROW][C]0.91[/C][C]195.991658680393[/C][C]2.38661610729645[/C][/ROW]
[ROW][C]0.92[/C][C]196.884712426432[/C][C]2.29469964870794[/C][/ROW]
[ROW][C]0.93[/C][C]197.884605607855[/C][C]2.38160912559533[/C][/ROW]
[ROW][C]0.94[/C][C]199.104022197332[/C][C]2.72577657446827[/C][/ROW]
[ROW][C]0.95[/C][C]200.680914634509[/C][C]3.34556619463339[/C][/ROW]
[ROW][C]0.96[/C][C]202.724879759044[/C][C]4.11422654404942[/C][/ROW]
[ROW][C]0.97[/C][C]205.203965625954[/C][C]4.63670137410793[/C][/ROW]
[ROW][C]0.98[/C][C]207.807986758953[/C][C]4.2488728848228[/C][/ROW]
[ROW][C]0.99[/C][C]209.935032875077[/C][C]2.614246029199[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78960&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78960&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
0.0146.16177016438517.3669704047212
0.0251.67886352998449.7445159341769
0.0357.78903459073659.9230918879317
0.0463.31081576378868.84405298473351
0.0567.90431375119667.88902083502805
0.0671.74600157923677.66689101326638
0.0775.16578922677938.10929355014498
0.0878.42970747436958.83250507650984
0.0981.66712803963079.44661158453639
0.184.88630486034589.71772851723
0.1188.0274427148019.60472887244292
0.1291.01882609592389.21988941848852
0.1393.8158442293078.74940865870963
0.1496.41596818347168.37219467310647
0.1598.85348062293848.2020418408657
0.16101.1832819861138.26602743840114
0.17103.4631194481198.52112263037177
0.18105.7403007466888.89014592833281
0.19108.0450241042819.294596635883
0.2110.3895730249099.67232880779626
0.21112.7712862895029.98170109012872
0.22115.17713445760410.1995060701295
0.23117.58834043907510.3162047280796
0.24119.98423626817110.3317336186636
0.25122.34511041561710.2544622850264
0.26124.65406372516310.0994289666503
0.27126.8979358134419.8854927767615
0.28129.0673452376829.63178516879473
0.29131.1559319388139.3519802137309
0.3133.1590278519429.0507041349126
0.31135.0721450719888.72197483557374
0.32136.8897568887558.35326210371796
0.33138.6047837803327.93100702509182
0.34140.2089868208087.44690245363599
0.35141.6941887058256.90322170932676
0.36143.0539929248586.31361244525798
0.37144.2855409537665.70261000586317
0.38145.3908685501365.10089076387802
0.39146.3775683264014.54150813707474
0.4147.258669708174.05499052822725
0.41148.0518342885273.66682475989221
0.42148.7780807389293.39499033093256
0.43149.4602812695493.24798928984768
0.44150.1216282291053.22528163762048
0.45150.7841928112793.31690039061418
0.46151.4676286783583.50532983634971
0.47152.1880394610213.76690228917308
0.48152.9570373537584.07371171210571
0.49153.7810566048244.39607598793564
0.5154.6610237549634.702952225204
0.51155.5924975662154.96612455977301
0.52156.5663570882495.16229036406311
0.53157.5700352090805.27666777080035
0.54158.5891854319465.30398385691568
0.55159.6095634010805.25055034110732
0.56160.6188369030255.13218747196105
0.57161.6080344561644.97206874381062
0.58162.5724098440764.79689052206668
0.59163.5116221594204.63255139164517
0.6164.4292740735594.49982890819001
0.61165.3319740007494.41163676227968
0.62166.2281562507714.37309103563928
0.63167.1268914864954.38216561605947
0.64168.0368563371624.43184685112432
0.65168.9655355814414.51305061911188
0.66169.9186430173244.61548932886612
0.67170.8997032635654.72802932200476
0.68171.9097523162174.83837287758107
0.69172.9471783146954.93320762011837
0.7174.0077989108944.99932808116369
0.71175.0853089357915.0250785095839
0.72176.1721913995415.00430321368422
0.73177.2610557830424.9382707826886
0.74178.3461819507994.83784642439912
0.75179.424876134524.72183282149521
0.76180.4981734936294.61312528148127
0.77181.5705161248784.53234893689892
0.78182.6483064629594.48985299294652
0.79183.7376178181294.48014686047757
0.8184.841702951664.48335052791989
0.81185.9591198220534.47026112816701
0.82187.0831741356044.41288442962890
0.83188.2029521456074.29326699855181
0.84189.3056181215094.10932050404919
0.85190.3791324421413.87321283831830
0.86191.4143914593343.60711852304935
0.87192.4061752790273.33275243628704
0.88193.3531498971093.0648580386375
0.89194.2581453052872.81022533014267
0.9195.1304694959892.57620328523315
0.91195.9916586803932.38661610729645
0.92196.8847124264322.29469964870794
0.93197.8846056078552.38160912559533
0.94199.1040221973322.72577657446827
0.95200.6809146345093.34556619463339
0.96202.7248797590444.11422654404942
0.97205.2039656259544.63670137410793
0.98207.8079867589534.2488728848228
0.99209.9350328750772.614246029199


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):
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')