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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, 09 Aug 2010 15:12:44 +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/09/t1281366735mse812l43izrsqt.htm/, Retrieved Mon, 29 Apr 2024 02:21:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78529, Retrieved Mon, 29 Apr 2024 02:21:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsSchrauwen Nathalie
Estimated Impact193

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] [TIJDREEKS B - STAP 7] [2010-08-09 15:12:44] [dd2ef098fd65ce7e9f689caa343b799f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
162
161
160
158
156
155
156
158
159
159
160
162
168
177
174
169
169
160
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187
201
188
179
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170
179
183
174
177
170
166
171
178
165
162
159
149
153
156
149
150
139
131
141
150
128
124
120
113
120
121
115
119
106
98
106
116
93
94
90
93
100
99
90
91
83
83
92
104
71
69
67
75
86
81
88
87
77
70

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=78529&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=78529&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78529&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
0.0167.79780676934381.80590505989425
0.0269.06018484938272.02825881200203
0.0370.53172773567492.78883563474816
0.0472.18889547269223.69221119841257
0.0574.03044929876444.40252848896269
0.0675.98444041431714.78254152650316
0.0777.94201279047714.85119147754264
0.0879.80906690949784.70662856093449
0.0981.53045446215094.4590080135644
0.183.08886860673524.19163242013725
0.1184.49239761238183.9489988140173
0.1285.76152640673823.74594170744386
0.1386.92055876183983.58630789603081
0.1487.99403811954583.47731336066346
0.1589.00648550517123.43454988793847
0.1689.98329624051523.47817367786334
0.1790.9512275803523.62605918296972
0.1891.93782958049543.88679114520977
0.1992.96991698686994.25605471676927
0.294.07156265002794.71769065389557
0.2195.2621543140475.24716753909535
0.2296.55492766488375.81528521472425
0.2397.95619452681166.39164957365272
0.2499.46531103754196.94743716666054
0.25101.0753190073847.45735662896683
0.26102.7741498195437.9013280718434
0.27104.5462799796678.2666130491988
0.28106.3747311223608.5494522862903
0.29108.2432802780048.75660212309437
0.3110.1386780315648.90709457322075
0.31112.0525845256329.02979363980827
0.32113.9828716368899.16104471527157
0.33115.9339527202899.33788747981094
0.34117.9159171488349.59042908498806
0.35119.9424573638399.93321456506366
0.36122.02783590986110.3591304705795
0.37124.18337986788010.8393233850090
0.38126.41413994004211.3263519339457
0.39128.71636275349711.7627751282695
0.4131.07628687101512.0906609744577
0.41133.47051583575012.2595122350026
0.42135.86790784894512.2347204977199
0.43138.23262785111212.0019817359176
0.44140.52780267075711.567510049406
0.45142.71914627732710.9562840525013
0.46144.77798675700010.2071779111447
0.47146.6833010820549.36659540408313
0.48148.4225955296808.48216271565775
0.49149.9916987299467.59697939037374
0.5151.3937103050446.74613423497887
0.51152.6374419019975.9551057428775
0.52153.7356955069035.23944323104606
0.53154.7036639119464.60681486293304
0.54155.5576395631954.05883853840852
0.55156.3141113590143.59368732742513
0.56156.9892377782673.20809522955886
0.57157.5986215265272.89852109975246
0.58158.1572778758012.66224739068051
0.59158.6796813400302.49737874823882
0.6159.1797859883092.40248184501213
0.61159.6709370844052.37469767568887
0.62160.1656218650782.4094202060515
0.63160.6750434449022.49868322096880
0.64161.2085431433842.63073227989465
0.65161.7729406778442.79001594346801
0.66162.3719031640982.95851881812934
0.67163.0054835034623.11649206690227
0.68163.6699750744863.24424132476465
0.69164.3582026483293.32556282125271
0.7165.0603052512833.34869064345286
0.71165.7649717473193.30932669260992
0.72166.4609822390513.211528848621
0.73167.1388147167563.06714202213971
0.74167.7920253037272.89444952036049
0.75168.4181235072152.71574242875435
0.76169.0187475463292.55243527617812
0.77169.599085850932.42175188609729
0.78170.1666568876052.33341691459007
0.79170.7297058315912.28636768453637
0.8171.2955587663572.27106179746704
0.81171.8692656823882.27213188852864
0.82172.4527682160912.27322513157449
0.83173.0446909934412.25963589460130
0.84173.6407445329242.22121850799824
0.85174.2346985505742.15246495309807
0.86174.8199410226712.05344668777149
0.87175.3917227041851.93070481769104
0.88175.9502197975121.80011471893933
0.89176.5044823212091.68933547581328
0.9177.0771257293581.63926597624062
0.91177.7090584500121.70320044724476
0.92178.4622297945891.93499940005201
0.93179.4167085122952.36147960056071
0.94180.6601584637432.94106009466089
0.95182.2821138545673.54122582634314
0.96184.4147106517584.01918439371643
0.97187.3487396284064.57014836745385
0.98191.5280572277186.20056478897872
0.99196.8036727397189.5884333217979

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 67.7978067693438 & 1.80590505989425 \tabularnewline
0.02 & 69.0601848493827 & 2.02825881200203 \tabularnewline
0.03 & 70.5317277356749 & 2.78883563474816 \tabularnewline
0.04 & 72.1888954726922 & 3.69221119841257 \tabularnewline
0.05 & 74.0304492987644 & 4.40252848896269 \tabularnewline
0.06 & 75.9844404143171 & 4.78254152650316 \tabularnewline
0.07 & 77.9420127904771 & 4.85119147754264 \tabularnewline
0.08 & 79.8090669094978 & 4.70662856093449 \tabularnewline
0.09 & 81.5304544621509 & 4.4590080135644 \tabularnewline
0.1 & 83.0888686067352 & 4.19163242013725 \tabularnewline
0.11 & 84.4923976123818 & 3.9489988140173 \tabularnewline
0.12 & 85.7615264067382 & 3.74594170744386 \tabularnewline
0.13 & 86.9205587618398 & 3.58630789603081 \tabularnewline
0.14 & 87.9940381195458 & 3.47731336066346 \tabularnewline
0.15 & 89.0064855051712 & 3.43454988793847 \tabularnewline
0.16 & 89.9832962405152 & 3.47817367786334 \tabularnewline
0.17 & 90.951227580352 & 3.62605918296972 \tabularnewline
0.18 & 91.9378295804954 & 3.88679114520977 \tabularnewline
0.19 & 92.9699169868699 & 4.25605471676927 \tabularnewline
0.2 & 94.0715626500279 & 4.71769065389557 \tabularnewline
0.21 & 95.262154314047 & 5.24716753909535 \tabularnewline
0.22 & 96.5549276648837 & 5.81528521472425 \tabularnewline
0.23 & 97.9561945268116 & 6.39164957365272 \tabularnewline
0.24 & 99.4653110375419 & 6.94743716666054 \tabularnewline
0.25 & 101.075319007384 & 7.45735662896683 \tabularnewline
0.26 & 102.774149819543 & 7.9013280718434 \tabularnewline
0.27 & 104.546279979667 & 8.2666130491988 \tabularnewline
0.28 & 106.374731122360 & 8.5494522862903 \tabularnewline
0.29 & 108.243280278004 & 8.75660212309437 \tabularnewline
0.3 & 110.138678031564 & 8.90709457322075 \tabularnewline
0.31 & 112.052584525632 & 9.02979363980827 \tabularnewline
0.32 & 113.982871636889 & 9.16104471527157 \tabularnewline
0.33 & 115.933952720289 & 9.33788747981094 \tabularnewline
0.34 & 117.915917148834 & 9.59042908498806 \tabularnewline
0.35 & 119.942457363839 & 9.93321456506366 \tabularnewline
0.36 & 122.027835909861 & 10.3591304705795 \tabularnewline
0.37 & 124.183379867880 & 10.8393233850090 \tabularnewline
0.38 & 126.414139940042 & 11.3263519339457 \tabularnewline
0.39 & 128.716362753497 & 11.7627751282695 \tabularnewline
0.4 & 131.076286871015 & 12.0906609744577 \tabularnewline
0.41 & 133.470515835750 & 12.2595122350026 \tabularnewline
0.42 & 135.867907848945 & 12.2347204977199 \tabularnewline
0.43 & 138.232627851112 & 12.0019817359176 \tabularnewline
0.44 & 140.527802670757 & 11.567510049406 \tabularnewline
0.45 & 142.719146277327 & 10.9562840525013 \tabularnewline
0.46 & 144.777986757000 & 10.2071779111447 \tabularnewline
0.47 & 146.683301082054 & 9.36659540408313 \tabularnewline
0.48 & 148.422595529680 & 8.48216271565775 \tabularnewline
0.49 & 149.991698729946 & 7.59697939037374 \tabularnewline
0.5 & 151.393710305044 & 6.74613423497887 \tabularnewline
0.51 & 152.637441901997 & 5.9551057428775 \tabularnewline
0.52 & 153.735695506903 & 5.23944323104606 \tabularnewline
0.53 & 154.703663911946 & 4.60681486293304 \tabularnewline
0.54 & 155.557639563195 & 4.05883853840852 \tabularnewline
0.55 & 156.314111359014 & 3.59368732742513 \tabularnewline
0.56 & 156.989237778267 & 3.20809522955886 \tabularnewline
0.57 & 157.598621526527 & 2.89852109975246 \tabularnewline
0.58 & 158.157277875801 & 2.66224739068051 \tabularnewline
0.59 & 158.679681340030 & 2.49737874823882 \tabularnewline
0.6 & 159.179785988309 & 2.40248184501213 \tabularnewline
0.61 & 159.670937084405 & 2.37469767568887 \tabularnewline
0.62 & 160.165621865078 & 2.4094202060515 \tabularnewline
0.63 & 160.675043444902 & 2.49868322096880 \tabularnewline
0.64 & 161.208543143384 & 2.63073227989465 \tabularnewline
0.65 & 161.772940677844 & 2.79001594346801 \tabularnewline
0.66 & 162.371903164098 & 2.95851881812934 \tabularnewline
0.67 & 163.005483503462 & 3.11649206690227 \tabularnewline
0.68 & 163.669975074486 & 3.24424132476465 \tabularnewline
0.69 & 164.358202648329 & 3.32556282125271 \tabularnewline
0.7 & 165.060305251283 & 3.34869064345286 \tabularnewline
0.71 & 165.764971747319 & 3.30932669260992 \tabularnewline
0.72 & 166.460982239051 & 3.211528848621 \tabularnewline
0.73 & 167.138814716756 & 3.06714202213971 \tabularnewline
0.74 & 167.792025303727 & 2.89444952036049 \tabularnewline
0.75 & 168.418123507215 & 2.71574242875435 \tabularnewline
0.76 & 169.018747546329 & 2.55243527617812 \tabularnewline
0.77 & 169.59908585093 & 2.42175188609729 \tabularnewline
0.78 & 170.166656887605 & 2.33341691459007 \tabularnewline
0.79 & 170.729705831591 & 2.28636768453637 \tabularnewline
0.8 & 171.295558766357 & 2.27106179746704 \tabularnewline
0.81 & 171.869265682388 & 2.27213188852864 \tabularnewline
0.82 & 172.452768216091 & 2.27322513157449 \tabularnewline
0.83 & 173.044690993441 & 2.25963589460130 \tabularnewline
0.84 & 173.640744532924 & 2.22121850799824 \tabularnewline
0.85 & 174.234698550574 & 2.15246495309807 \tabularnewline
0.86 & 174.819941022671 & 2.05344668777149 \tabularnewline
0.87 & 175.391722704185 & 1.93070481769104 \tabularnewline
0.88 & 175.950219797512 & 1.80011471893933 \tabularnewline
0.89 & 176.504482321209 & 1.68933547581328 \tabularnewline
0.9 & 177.077125729358 & 1.63926597624062 \tabularnewline
0.91 & 177.709058450012 & 1.70320044724476 \tabularnewline
0.92 & 178.462229794589 & 1.93499940005201 \tabularnewline
0.93 & 179.416708512295 & 2.36147960056071 \tabularnewline
0.94 & 180.660158463743 & 2.94106009466089 \tabularnewline
0.95 & 182.282113854567 & 3.54122582634314 \tabularnewline
0.96 & 184.414710651758 & 4.01918439371643 \tabularnewline
0.97 & 187.348739628406 & 4.57014836745385 \tabularnewline
0.98 & 191.528057227718 & 6.20056478897872 \tabularnewline
0.99 & 196.803672739718 & 9.5884333217979 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78529&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]67.7978067693438[/C][C]1.80590505989425[/C][/ROW]
[ROW][C]0.02[/C][C]69.0601848493827[/C][C]2.02825881200203[/C][/ROW]
[ROW][C]0.03[/C][C]70.5317277356749[/C][C]2.78883563474816[/C][/ROW]
[ROW][C]0.04[/C][C]72.1888954726922[/C][C]3.69221119841257[/C][/ROW]
[ROW][C]0.05[/C][C]74.0304492987644[/C][C]4.40252848896269[/C][/ROW]
[ROW][C]0.06[/C][C]75.9844404143171[/C][C]4.78254152650316[/C][/ROW]
[ROW][C]0.07[/C][C]77.9420127904771[/C][C]4.85119147754264[/C][/ROW]
[ROW][C]0.08[/C][C]79.8090669094978[/C][C]4.70662856093449[/C][/ROW]
[ROW][C]0.09[/C][C]81.5304544621509[/C][C]4.4590080135644[/C][/ROW]
[ROW][C]0.1[/C][C]83.0888686067352[/C][C]4.19163242013725[/C][/ROW]
[ROW][C]0.11[/C][C]84.4923976123818[/C][C]3.9489988140173[/C][/ROW]
[ROW][C]0.12[/C][C]85.7615264067382[/C][C]3.74594170744386[/C][/ROW]
[ROW][C]0.13[/C][C]86.9205587618398[/C][C]3.58630789603081[/C][/ROW]
[ROW][C]0.14[/C][C]87.9940381195458[/C][C]3.47731336066346[/C][/ROW]
[ROW][C]0.15[/C][C]89.0064855051712[/C][C]3.43454988793847[/C][/ROW]
[ROW][C]0.16[/C][C]89.9832962405152[/C][C]3.47817367786334[/C][/ROW]
[ROW][C]0.17[/C][C]90.951227580352[/C][C]3.62605918296972[/C][/ROW]
[ROW][C]0.18[/C][C]91.9378295804954[/C][C]3.88679114520977[/C][/ROW]
[ROW][C]0.19[/C][C]92.9699169868699[/C][C]4.25605471676927[/C][/ROW]
[ROW][C]0.2[/C][C]94.0715626500279[/C][C]4.71769065389557[/C][/ROW]
[ROW][C]0.21[/C][C]95.262154314047[/C][C]5.24716753909535[/C][/ROW]
[ROW][C]0.22[/C][C]96.5549276648837[/C][C]5.81528521472425[/C][/ROW]
[ROW][C]0.23[/C][C]97.9561945268116[/C][C]6.39164957365272[/C][/ROW]
[ROW][C]0.24[/C][C]99.4653110375419[/C][C]6.94743716666054[/C][/ROW]
[ROW][C]0.25[/C][C]101.075319007384[/C][C]7.45735662896683[/C][/ROW]
[ROW][C]0.26[/C][C]102.774149819543[/C][C]7.9013280718434[/C][/ROW]
[ROW][C]0.27[/C][C]104.546279979667[/C][C]8.2666130491988[/C][/ROW]
[ROW][C]0.28[/C][C]106.374731122360[/C][C]8.5494522862903[/C][/ROW]
[ROW][C]0.29[/C][C]108.243280278004[/C][C]8.75660212309437[/C][/ROW]
[ROW][C]0.3[/C][C]110.138678031564[/C][C]8.90709457322075[/C][/ROW]
[ROW][C]0.31[/C][C]112.052584525632[/C][C]9.02979363980827[/C][/ROW]
[ROW][C]0.32[/C][C]113.982871636889[/C][C]9.16104471527157[/C][/ROW]
[ROW][C]0.33[/C][C]115.933952720289[/C][C]9.33788747981094[/C][/ROW]
[ROW][C]0.34[/C][C]117.915917148834[/C][C]9.59042908498806[/C][/ROW]
[ROW][C]0.35[/C][C]119.942457363839[/C][C]9.93321456506366[/C][/ROW]
[ROW][C]0.36[/C][C]122.027835909861[/C][C]10.3591304705795[/C][/ROW]
[ROW][C]0.37[/C][C]124.183379867880[/C][C]10.8393233850090[/C][/ROW]
[ROW][C]0.38[/C][C]126.414139940042[/C][C]11.3263519339457[/C][/ROW]
[ROW][C]0.39[/C][C]128.716362753497[/C][C]11.7627751282695[/C][/ROW]
[ROW][C]0.4[/C][C]131.076286871015[/C][C]12.0906609744577[/C][/ROW]
[ROW][C]0.41[/C][C]133.470515835750[/C][C]12.2595122350026[/C][/ROW]
[ROW][C]0.42[/C][C]135.867907848945[/C][C]12.2347204977199[/C][/ROW]
[ROW][C]0.43[/C][C]138.232627851112[/C][C]12.0019817359176[/C][/ROW]
[ROW][C]0.44[/C][C]140.527802670757[/C][C]11.567510049406[/C][/ROW]
[ROW][C]0.45[/C][C]142.719146277327[/C][C]10.9562840525013[/C][/ROW]
[ROW][C]0.46[/C][C]144.777986757000[/C][C]10.2071779111447[/C][/ROW]
[ROW][C]0.47[/C][C]146.683301082054[/C][C]9.36659540408313[/C][/ROW]
[ROW][C]0.48[/C][C]148.422595529680[/C][C]8.48216271565775[/C][/ROW]
[ROW][C]0.49[/C][C]149.991698729946[/C][C]7.59697939037374[/C][/ROW]
[ROW][C]0.5[/C][C]151.393710305044[/C][C]6.74613423497887[/C][/ROW]
[ROW][C]0.51[/C][C]152.637441901997[/C][C]5.9551057428775[/C][/ROW]
[ROW][C]0.52[/C][C]153.735695506903[/C][C]5.23944323104606[/C][/ROW]
[ROW][C]0.53[/C][C]154.703663911946[/C][C]4.60681486293304[/C][/ROW]
[ROW][C]0.54[/C][C]155.557639563195[/C][C]4.05883853840852[/C][/ROW]
[ROW][C]0.55[/C][C]156.314111359014[/C][C]3.59368732742513[/C][/ROW]
[ROW][C]0.56[/C][C]156.989237778267[/C][C]3.20809522955886[/C][/ROW]
[ROW][C]0.57[/C][C]157.598621526527[/C][C]2.89852109975246[/C][/ROW]
[ROW][C]0.58[/C][C]158.157277875801[/C][C]2.66224739068051[/C][/ROW]
[ROW][C]0.59[/C][C]158.679681340030[/C][C]2.49737874823882[/C][/ROW]
[ROW][C]0.6[/C][C]159.179785988309[/C][C]2.40248184501213[/C][/ROW]
[ROW][C]0.61[/C][C]159.670937084405[/C][C]2.37469767568887[/C][/ROW]
[ROW][C]0.62[/C][C]160.165621865078[/C][C]2.4094202060515[/C][/ROW]
[ROW][C]0.63[/C][C]160.675043444902[/C][C]2.49868322096880[/C][/ROW]
[ROW][C]0.64[/C][C]161.208543143384[/C][C]2.63073227989465[/C][/ROW]
[ROW][C]0.65[/C][C]161.772940677844[/C][C]2.79001594346801[/C][/ROW]
[ROW][C]0.66[/C][C]162.371903164098[/C][C]2.95851881812934[/C][/ROW]
[ROW][C]0.67[/C][C]163.005483503462[/C][C]3.11649206690227[/C][/ROW]
[ROW][C]0.68[/C][C]163.669975074486[/C][C]3.24424132476465[/C][/ROW]
[ROW][C]0.69[/C][C]164.358202648329[/C][C]3.32556282125271[/C][/ROW]
[ROW][C]0.7[/C][C]165.060305251283[/C][C]3.34869064345286[/C][/ROW]
[ROW][C]0.71[/C][C]165.764971747319[/C][C]3.30932669260992[/C][/ROW]
[ROW][C]0.72[/C][C]166.460982239051[/C][C]3.211528848621[/C][/ROW]
[ROW][C]0.73[/C][C]167.138814716756[/C][C]3.06714202213971[/C][/ROW]
[ROW][C]0.74[/C][C]167.792025303727[/C][C]2.89444952036049[/C][/ROW]
[ROW][C]0.75[/C][C]168.418123507215[/C][C]2.71574242875435[/C][/ROW]
[ROW][C]0.76[/C][C]169.018747546329[/C][C]2.55243527617812[/C][/ROW]
[ROW][C]0.77[/C][C]169.59908585093[/C][C]2.42175188609729[/C][/ROW]
[ROW][C]0.78[/C][C]170.166656887605[/C][C]2.33341691459007[/C][/ROW]
[ROW][C]0.79[/C][C]170.729705831591[/C][C]2.28636768453637[/C][/ROW]
[ROW][C]0.8[/C][C]171.295558766357[/C][C]2.27106179746704[/C][/ROW]
[ROW][C]0.81[/C][C]171.869265682388[/C][C]2.27213188852864[/C][/ROW]
[ROW][C]0.82[/C][C]172.452768216091[/C][C]2.27322513157449[/C][/ROW]
[ROW][C]0.83[/C][C]173.044690993441[/C][C]2.25963589460130[/C][/ROW]
[ROW][C]0.84[/C][C]173.640744532924[/C][C]2.22121850799824[/C][/ROW]
[ROW][C]0.85[/C][C]174.234698550574[/C][C]2.15246495309807[/C][/ROW]
[ROW][C]0.86[/C][C]174.819941022671[/C][C]2.05344668777149[/C][/ROW]
[ROW][C]0.87[/C][C]175.391722704185[/C][C]1.93070481769104[/C][/ROW]
[ROW][C]0.88[/C][C]175.950219797512[/C][C]1.80011471893933[/C][/ROW]
[ROW][C]0.89[/C][C]176.504482321209[/C][C]1.68933547581328[/C][/ROW]
[ROW][C]0.9[/C][C]177.077125729358[/C][C]1.63926597624062[/C][/ROW]
[ROW][C]0.91[/C][C]177.709058450012[/C][C]1.70320044724476[/C][/ROW]
[ROW][C]0.92[/C][C]178.462229794589[/C][C]1.93499940005201[/C][/ROW]
[ROW][C]0.93[/C][C]179.416708512295[/C][C]2.36147960056071[/C][/ROW]
[ROW][C]0.94[/C][C]180.660158463743[/C][C]2.94106009466089[/C][/ROW]
[ROW][C]0.95[/C][C]182.282113854567[/C][C]3.54122582634314[/C][/ROW]
[ROW][C]0.96[/C][C]184.414710651758[/C][C]4.01918439371643[/C][/ROW]
[ROW][C]0.97[/C][C]187.348739628406[/C][C]4.57014836745385[/C][/ROW]
[ROW][C]0.98[/C][C]191.528057227718[/C][C]6.20056478897872[/C][/ROW]
[ROW][C]0.99[/C][C]196.803672739718[/C][C]9.5884333217979[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78529&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78529&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
0.0167.79780676934381.80590505989425
0.0269.06018484938272.02825881200203
0.0370.53172773567492.78883563474816
0.0472.18889547269223.69221119841257
0.0574.03044929876444.40252848896269
0.0675.98444041431714.78254152650316
0.0777.94201279047714.85119147754264
0.0879.80906690949784.70662856093449
0.0981.53045446215094.4590080135644
0.183.08886860673524.19163242013725
0.1184.49239761238183.9489988140173
0.1285.76152640673823.74594170744386
0.1386.92055876183983.58630789603081
0.1487.99403811954583.47731336066346
0.1589.00648550517123.43454988793847
0.1689.98329624051523.47817367786334
0.1790.9512275803523.62605918296972
0.1891.93782958049543.88679114520977
0.1992.96991698686994.25605471676927
0.294.07156265002794.71769065389557
0.2195.2621543140475.24716753909535
0.2296.55492766488375.81528521472425
0.2397.95619452681166.39164957365272
0.2499.46531103754196.94743716666054
0.25101.0753190073847.45735662896683
0.26102.7741498195437.9013280718434
0.27104.5462799796678.2666130491988
0.28106.3747311223608.5494522862903
0.29108.2432802780048.75660212309437
0.3110.1386780315648.90709457322075
0.31112.0525845256329.02979363980827
0.32113.9828716368899.16104471527157
0.33115.9339527202899.33788747981094
0.34117.9159171488349.59042908498806
0.35119.9424573638399.93321456506366
0.36122.02783590986110.3591304705795
0.37124.18337986788010.8393233850090
0.38126.41413994004211.3263519339457
0.39128.71636275349711.7627751282695
0.4131.07628687101512.0906609744577
0.41133.47051583575012.2595122350026
0.42135.86790784894512.2347204977199
0.43138.23262785111212.0019817359176
0.44140.52780267075711.567510049406
0.45142.71914627732710.9562840525013
0.46144.77798675700010.2071779111447
0.47146.6833010820549.36659540408313
0.48148.4225955296808.48216271565775
0.49149.9916987299467.59697939037374
0.5151.3937103050446.74613423497887
0.51152.6374419019975.9551057428775
0.52153.7356955069035.23944323104606
0.53154.7036639119464.60681486293304
0.54155.5576395631954.05883853840852
0.55156.3141113590143.59368732742513
0.56156.9892377782673.20809522955886
0.57157.5986215265272.89852109975246
0.58158.1572778758012.66224739068051
0.59158.6796813400302.49737874823882
0.6159.1797859883092.40248184501213
0.61159.6709370844052.37469767568887
0.62160.1656218650782.4094202060515
0.63160.6750434449022.49868322096880
0.64161.2085431433842.63073227989465
0.65161.7729406778442.79001594346801
0.66162.3719031640982.95851881812934
0.67163.0054835034623.11649206690227
0.68163.6699750744863.24424132476465
0.69164.3582026483293.32556282125271
0.7165.0603052512833.34869064345286
0.71165.7649717473193.30932669260992
0.72166.4609822390513.211528848621
0.73167.1388147167563.06714202213971
0.74167.7920253037272.89444952036049
0.75168.4181235072152.71574242875435
0.76169.0187475463292.55243527617812
0.77169.599085850932.42175188609729
0.78170.1666568876052.33341691459007
0.79170.7297058315912.28636768453637
0.8171.2955587663572.27106179746704
0.81171.8692656823882.27213188852864
0.82172.4527682160912.27322513157449
0.83173.0446909934412.25963589460130
0.84173.6407445329242.22121850799824
0.85174.2346985505742.15246495309807
0.86174.8199410226712.05344668777149
0.87175.3917227041851.93070481769104
0.88175.9502197975121.80011471893933
0.89176.5044823212091.68933547581328
0.9177.0771257293581.63926597624062
0.91177.7090584500121.70320044724476
0.92178.4622297945891.93499940005201
0.93179.4167085122952.36147960056071
0.94180.6601584637432.94106009466089
0.95182.2821138545673.54122582634314
0.96184.4147106517584.01918439371643
0.97187.3487396284064.57014836745385
0.98191.5280572277186.20056478897872
0.99196.8036727397189.5884333217979


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')