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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 computationTue, 04 Oct 2016 18:00:17 +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/04/t1475600594k73sl83zul9r4ll.htm/, Retrieved Fri, 17 May 2024 19:15:44 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Fri, 17 May 2024 19:15:44 +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 
149
143
135
126
119
133
134
123
147
144
150
140
165
173
167
161
151
163
158
152
176
170
168
164
185
186
184
179
171
187
191
176
204
196
193
179
195
201
192
181
171
177
176
155
173
167
164
152
173
162
158
154
151
160
160
143
170
166
153
144

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'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&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 time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01120.1080257388523.92332443054561
0.02121.9156523109824.20652716441373
0.03124.0692493417794.71713744818366
0.04126.3097473456565.14342645942776
0.05128.4953879213515.31687583446758
0.06130.5567993841545.27001169618344
0.07132.4646961890015.12226234070772
0.08134.2147708416144.96959073437951
0.09135.8174526478054.83849163050027
0.1137.2884730244974.70668089613831
0.11138.6422859509994.54650057947359
0.12139.889908587564.35124824126266
0.13141.0401454934684.13807724426039
0.14142.1018421836593.93530723271086
0.15143.0852625445883.76791571750403
0.16144.0019313933093.6461633751994
0.17144.8633492974863.56442346822215
0.18145.6794403601953.50554485750084
0.19146.457488708553.45059523742608
0.2147.2019280816953.38531119360654
0.21147.914939400193.30287186677573
0.22148.5975429427553.20614790050424
0.23149.2507865869583.10453167998026
0.24149.8766926154763.01107342714635
0.25150.4787645518722.93980185555878
0.26151.0620076638582.90150266483057
0.27151.6325385309982.90277111345948
0.28152.1969310632572.9433776922406
0.29152.7614684063913.01787677877137
0.3153.3314533641613.11648884598717
0.31153.9106894306813.22731014410219
0.32154.5011945235163.33772403080619
0.33155.1031610158613.43728146698996
0.34155.7151357965343.5170895471651
0.35156.3343665292713.57130796894063
0.36156.9572460795423.59723449546148
0.37157.5797853438033.59552012253717
0.38158.1980532059643.56829304943489
0.39158.808537912883.5202113374598
0.4159.4084032216223.45659123439229
0.41159.9956317089463.38317155054025
0.42160.5690637052133.30552032337488
0.43161.1283514672763.22785924638721
0.44161.6738536924963.15419366566572
0.45162.2064957274113.0874302878207
0.46162.7276171668653.02931610551169
0.47163.2388227652242.98072745753051
0.48163.7418464769722.94184890376913
0.49164.2384333968212.91253533915978
0.5164.730241136852.89214252270942
0.51165.2187608449862.87921370844614
0.52165.7052581707672.87205908174498
0.53166.1907352368852.86896642573441
0.54166.6759152410862.86805954522368
0.55167.1612510416442.8672529250869
0.56167.6469576737152.86533271893804
0.57168.1330663318222.86090346756724
0.58168.6194944581482.85339884646754
0.59169.1061239876662.84295983476078
0.6169.5928783776452.83025307441882
0.61170.0797894771132.81637904771088
0.62170.5670478552292.802377307285
0.63171.0550346222212.78998079632446
0.64171.5443381463782.78004131465251
0.65172.0357640034892.773854195055
0.66172.530349386032.77224073515975
0.67173.0293926437422.77578935108264
0.68173.5345038818762.78555320882435
0.69174.0476739206042.80322718625167
0.7174.5713479888382.83081915394193
0.71175.1084800239212.87094294781157
0.72175.6625368379732.92697647885144
0.73176.2374221057283.00135498335128
0.74176.8373004669083.09541990323102
0.75177.4663221734313.2084410500136
0.76178.1282756881643.33696772766496
0.77178.8262230117093.4750085440947
0.78179.562191011543.61434371177786
0.79180.3369917158813.74581573949791
0.8181.1502185410043.86136862513578
0.81182.0004146162483.95475031517646
0.82182.8853462357074.02308414199869
0.83183.8022634482664.06607284434702
0.84184.7480215917894.08581558637569
0.85185.7189967808344.08305198872654
0.86186.7108580211884.05583778921664
0.87187.7184293424043.9984176698257
0.88188.7360269756193.90343698565613
0.89189.758713775863.76660260938428
0.9190.784802867613.59300967441302
0.91191.8195970236143.40274765593539
0.92192.8796972117533.23350119483768
0.93193.9962015651093.13819628896279
0.94195.2138279564333.16933897911766
0.95196.5817884645793.33885582359106
0.96198.1317761164313.56697626711041
0.97199.8399534181663.68207598805887
0.98201.5774872694293.53515842667762
0.99203.0783986296823.19690245658849

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 120.108025738852 & 3.92332443054561 \tabularnewline
0.02 & 121.915652310982 & 4.20652716441373 \tabularnewline
0.03 & 124.069249341779 & 4.71713744818366 \tabularnewline
0.04 & 126.309747345656 & 5.14342645942776 \tabularnewline
0.05 & 128.495387921351 & 5.31687583446758 \tabularnewline
0.06 & 130.556799384154 & 5.27001169618344 \tabularnewline
0.07 & 132.464696189001 & 5.12226234070772 \tabularnewline
0.08 & 134.214770841614 & 4.96959073437951 \tabularnewline
0.09 & 135.817452647805 & 4.83849163050027 \tabularnewline
0.1 & 137.288473024497 & 4.70668089613831 \tabularnewline
0.11 & 138.642285950999 & 4.54650057947359 \tabularnewline
0.12 & 139.88990858756 & 4.35124824126266 \tabularnewline
0.13 & 141.040145493468 & 4.13807724426039 \tabularnewline
0.14 & 142.101842183659 & 3.93530723271086 \tabularnewline
0.15 & 143.085262544588 & 3.76791571750403 \tabularnewline
0.16 & 144.001931393309 & 3.6461633751994 \tabularnewline
0.17 & 144.863349297486 & 3.56442346822215 \tabularnewline
0.18 & 145.679440360195 & 3.50554485750084 \tabularnewline
0.19 & 146.45748870855 & 3.45059523742608 \tabularnewline
0.2 & 147.201928081695 & 3.38531119360654 \tabularnewline
0.21 & 147.91493940019 & 3.30287186677573 \tabularnewline
0.22 & 148.597542942755 & 3.20614790050424 \tabularnewline
0.23 & 149.250786586958 & 3.10453167998026 \tabularnewline
0.24 & 149.876692615476 & 3.01107342714635 \tabularnewline
0.25 & 150.478764551872 & 2.93980185555878 \tabularnewline
0.26 & 151.062007663858 & 2.90150266483057 \tabularnewline
0.27 & 151.632538530998 & 2.90277111345948 \tabularnewline
0.28 & 152.196931063257 & 2.9433776922406 \tabularnewline
0.29 & 152.761468406391 & 3.01787677877137 \tabularnewline
0.3 & 153.331453364161 & 3.11648884598717 \tabularnewline
0.31 & 153.910689430681 & 3.22731014410219 \tabularnewline
0.32 & 154.501194523516 & 3.33772403080619 \tabularnewline
0.33 & 155.103161015861 & 3.43728146698996 \tabularnewline
0.34 & 155.715135796534 & 3.5170895471651 \tabularnewline
0.35 & 156.334366529271 & 3.57130796894063 \tabularnewline
0.36 & 156.957246079542 & 3.59723449546148 \tabularnewline
0.37 & 157.579785343803 & 3.59552012253717 \tabularnewline
0.38 & 158.198053205964 & 3.56829304943489 \tabularnewline
0.39 & 158.80853791288 & 3.5202113374598 \tabularnewline
0.4 & 159.408403221622 & 3.45659123439229 \tabularnewline
0.41 & 159.995631708946 & 3.38317155054025 \tabularnewline
0.42 & 160.569063705213 & 3.30552032337488 \tabularnewline
0.43 & 161.128351467276 & 3.22785924638721 \tabularnewline
0.44 & 161.673853692496 & 3.15419366566572 \tabularnewline
0.45 & 162.206495727411 & 3.0874302878207 \tabularnewline
0.46 & 162.727617166865 & 3.02931610551169 \tabularnewline
0.47 & 163.238822765224 & 2.98072745753051 \tabularnewline
0.48 & 163.741846476972 & 2.94184890376913 \tabularnewline
0.49 & 164.238433396821 & 2.91253533915978 \tabularnewline
0.5 & 164.73024113685 & 2.89214252270942 \tabularnewline
0.51 & 165.218760844986 & 2.87921370844614 \tabularnewline
0.52 & 165.705258170767 & 2.87205908174498 \tabularnewline
0.53 & 166.190735236885 & 2.86896642573441 \tabularnewline
0.54 & 166.675915241086 & 2.86805954522368 \tabularnewline
0.55 & 167.161251041644 & 2.8672529250869 \tabularnewline
0.56 & 167.646957673715 & 2.86533271893804 \tabularnewline
0.57 & 168.133066331822 & 2.86090346756724 \tabularnewline
0.58 & 168.619494458148 & 2.85339884646754 \tabularnewline
0.59 & 169.106123987666 & 2.84295983476078 \tabularnewline
0.6 & 169.592878377645 & 2.83025307441882 \tabularnewline
0.61 & 170.079789477113 & 2.81637904771088 \tabularnewline
0.62 & 170.567047855229 & 2.802377307285 \tabularnewline
0.63 & 171.055034622221 & 2.78998079632446 \tabularnewline
0.64 & 171.544338146378 & 2.78004131465251 \tabularnewline
0.65 & 172.035764003489 & 2.773854195055 \tabularnewline
0.66 & 172.53034938603 & 2.77224073515975 \tabularnewline
0.67 & 173.029392643742 & 2.77578935108264 \tabularnewline
0.68 & 173.534503881876 & 2.78555320882435 \tabularnewline
0.69 & 174.047673920604 & 2.80322718625167 \tabularnewline
0.7 & 174.571347988838 & 2.83081915394193 \tabularnewline
0.71 & 175.108480023921 & 2.87094294781157 \tabularnewline
0.72 & 175.662536837973 & 2.92697647885144 \tabularnewline
0.73 & 176.237422105728 & 3.00135498335128 \tabularnewline
0.74 & 176.837300466908 & 3.09541990323102 \tabularnewline
0.75 & 177.466322173431 & 3.2084410500136 \tabularnewline
0.76 & 178.128275688164 & 3.33696772766496 \tabularnewline
0.77 & 178.826223011709 & 3.4750085440947 \tabularnewline
0.78 & 179.56219101154 & 3.61434371177786 \tabularnewline
0.79 & 180.336991715881 & 3.74581573949791 \tabularnewline
0.8 & 181.150218541004 & 3.86136862513578 \tabularnewline
0.81 & 182.000414616248 & 3.95475031517646 \tabularnewline
0.82 & 182.885346235707 & 4.02308414199869 \tabularnewline
0.83 & 183.802263448266 & 4.06607284434702 \tabularnewline
0.84 & 184.748021591789 & 4.08581558637569 \tabularnewline
0.85 & 185.718996780834 & 4.08305198872654 \tabularnewline
0.86 & 186.710858021188 & 4.05583778921664 \tabularnewline
0.87 & 187.718429342404 & 3.9984176698257 \tabularnewline
0.88 & 188.736026975619 & 3.90343698565613 \tabularnewline
0.89 & 189.75871377586 & 3.76660260938428 \tabularnewline
0.9 & 190.78480286761 & 3.59300967441302 \tabularnewline
0.91 & 191.819597023614 & 3.40274765593539 \tabularnewline
0.92 & 192.879697211753 & 3.23350119483768 \tabularnewline
0.93 & 193.996201565109 & 3.13819628896279 \tabularnewline
0.94 & 195.213827956433 & 3.16933897911766 \tabularnewline
0.95 & 196.581788464579 & 3.33885582359106 \tabularnewline
0.96 & 198.131776116431 & 3.56697626711041 \tabularnewline
0.97 & 199.839953418166 & 3.68207598805887 \tabularnewline
0.98 & 201.577487269429 & 3.53515842667762 \tabularnewline
0.99 & 203.078398629682 & 3.19690245658849 \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]120.108025738852[/C][C]3.92332443054561[/C][/ROW]
[ROW][C]0.02[/C][C]121.915652310982[/C][C]4.20652716441373[/C][/ROW]
[ROW][C]0.03[/C][C]124.069249341779[/C][C]4.71713744818366[/C][/ROW]
[ROW][C]0.04[/C][C]126.309747345656[/C][C]5.14342645942776[/C][/ROW]
[ROW][C]0.05[/C][C]128.495387921351[/C][C]5.31687583446758[/C][/ROW]
[ROW][C]0.06[/C][C]130.556799384154[/C][C]5.27001169618344[/C][/ROW]
[ROW][C]0.07[/C][C]132.464696189001[/C][C]5.12226234070772[/C][/ROW]
[ROW][C]0.08[/C][C]134.214770841614[/C][C]4.96959073437951[/C][/ROW]
[ROW][C]0.09[/C][C]135.817452647805[/C][C]4.83849163050027[/C][/ROW]
[ROW][C]0.1[/C][C]137.288473024497[/C][C]4.70668089613831[/C][/ROW]
[ROW][C]0.11[/C][C]138.642285950999[/C][C]4.54650057947359[/C][/ROW]
[ROW][C]0.12[/C][C]139.88990858756[/C][C]4.35124824126266[/C][/ROW]
[ROW][C]0.13[/C][C]141.040145493468[/C][C]4.13807724426039[/C][/ROW]
[ROW][C]0.14[/C][C]142.101842183659[/C][C]3.93530723271086[/C][/ROW]
[ROW][C]0.15[/C][C]143.085262544588[/C][C]3.76791571750403[/C][/ROW]
[ROW][C]0.16[/C][C]144.001931393309[/C][C]3.6461633751994[/C][/ROW]
[ROW][C]0.17[/C][C]144.863349297486[/C][C]3.56442346822215[/C][/ROW]
[ROW][C]0.18[/C][C]145.679440360195[/C][C]3.50554485750084[/C][/ROW]
[ROW][C]0.19[/C][C]146.45748870855[/C][C]3.45059523742608[/C][/ROW]
[ROW][C]0.2[/C][C]147.201928081695[/C][C]3.38531119360654[/C][/ROW]
[ROW][C]0.21[/C][C]147.91493940019[/C][C]3.30287186677573[/C][/ROW]
[ROW][C]0.22[/C][C]148.597542942755[/C][C]3.20614790050424[/C][/ROW]
[ROW][C]0.23[/C][C]149.250786586958[/C][C]3.10453167998026[/C][/ROW]
[ROW][C]0.24[/C][C]149.876692615476[/C][C]3.01107342714635[/C][/ROW]
[ROW][C]0.25[/C][C]150.478764551872[/C][C]2.93980185555878[/C][/ROW]
[ROW][C]0.26[/C][C]151.062007663858[/C][C]2.90150266483057[/C][/ROW]
[ROW][C]0.27[/C][C]151.632538530998[/C][C]2.90277111345948[/C][/ROW]
[ROW][C]0.28[/C][C]152.196931063257[/C][C]2.9433776922406[/C][/ROW]
[ROW][C]0.29[/C][C]152.761468406391[/C][C]3.01787677877137[/C][/ROW]
[ROW][C]0.3[/C][C]153.331453364161[/C][C]3.11648884598717[/C][/ROW]
[ROW][C]0.31[/C][C]153.910689430681[/C][C]3.22731014410219[/C][/ROW]
[ROW][C]0.32[/C][C]154.501194523516[/C][C]3.33772403080619[/C][/ROW]
[ROW][C]0.33[/C][C]155.103161015861[/C][C]3.43728146698996[/C][/ROW]
[ROW][C]0.34[/C][C]155.715135796534[/C][C]3.5170895471651[/C][/ROW]
[ROW][C]0.35[/C][C]156.334366529271[/C][C]3.57130796894063[/C][/ROW]
[ROW][C]0.36[/C][C]156.957246079542[/C][C]3.59723449546148[/C][/ROW]
[ROW][C]0.37[/C][C]157.579785343803[/C][C]3.59552012253717[/C][/ROW]
[ROW][C]0.38[/C][C]158.198053205964[/C][C]3.56829304943489[/C][/ROW]
[ROW][C]0.39[/C][C]158.80853791288[/C][C]3.5202113374598[/C][/ROW]
[ROW][C]0.4[/C][C]159.408403221622[/C][C]3.45659123439229[/C][/ROW]
[ROW][C]0.41[/C][C]159.995631708946[/C][C]3.38317155054025[/C][/ROW]
[ROW][C]0.42[/C][C]160.569063705213[/C][C]3.30552032337488[/C][/ROW]
[ROW][C]0.43[/C][C]161.128351467276[/C][C]3.22785924638721[/C][/ROW]
[ROW][C]0.44[/C][C]161.673853692496[/C][C]3.15419366566572[/C][/ROW]
[ROW][C]0.45[/C][C]162.206495727411[/C][C]3.0874302878207[/C][/ROW]
[ROW][C]0.46[/C][C]162.727617166865[/C][C]3.02931610551169[/C][/ROW]
[ROW][C]0.47[/C][C]163.238822765224[/C][C]2.98072745753051[/C][/ROW]
[ROW][C]0.48[/C][C]163.741846476972[/C][C]2.94184890376913[/C][/ROW]
[ROW][C]0.49[/C][C]164.238433396821[/C][C]2.91253533915978[/C][/ROW]
[ROW][C]0.5[/C][C]164.73024113685[/C][C]2.89214252270942[/C][/ROW]
[ROW][C]0.51[/C][C]165.218760844986[/C][C]2.87921370844614[/C][/ROW]
[ROW][C]0.52[/C][C]165.705258170767[/C][C]2.87205908174498[/C][/ROW]
[ROW][C]0.53[/C][C]166.190735236885[/C][C]2.86896642573441[/C][/ROW]
[ROW][C]0.54[/C][C]166.675915241086[/C][C]2.86805954522368[/C][/ROW]
[ROW][C]0.55[/C][C]167.161251041644[/C][C]2.8672529250869[/C][/ROW]
[ROW][C]0.56[/C][C]167.646957673715[/C][C]2.86533271893804[/C][/ROW]
[ROW][C]0.57[/C][C]168.133066331822[/C][C]2.86090346756724[/C][/ROW]
[ROW][C]0.58[/C][C]168.619494458148[/C][C]2.85339884646754[/C][/ROW]
[ROW][C]0.59[/C][C]169.106123987666[/C][C]2.84295983476078[/C][/ROW]
[ROW][C]0.6[/C][C]169.592878377645[/C][C]2.83025307441882[/C][/ROW]
[ROW][C]0.61[/C][C]170.079789477113[/C][C]2.81637904771088[/C][/ROW]
[ROW][C]0.62[/C][C]170.567047855229[/C][C]2.802377307285[/C][/ROW]
[ROW][C]0.63[/C][C]171.055034622221[/C][C]2.78998079632446[/C][/ROW]
[ROW][C]0.64[/C][C]171.544338146378[/C][C]2.78004131465251[/C][/ROW]
[ROW][C]0.65[/C][C]172.035764003489[/C][C]2.773854195055[/C][/ROW]
[ROW][C]0.66[/C][C]172.53034938603[/C][C]2.77224073515975[/C][/ROW]
[ROW][C]0.67[/C][C]173.029392643742[/C][C]2.77578935108264[/C][/ROW]
[ROW][C]0.68[/C][C]173.534503881876[/C][C]2.78555320882435[/C][/ROW]
[ROW][C]0.69[/C][C]174.047673920604[/C][C]2.80322718625167[/C][/ROW]
[ROW][C]0.7[/C][C]174.571347988838[/C][C]2.83081915394193[/C][/ROW]
[ROW][C]0.71[/C][C]175.108480023921[/C][C]2.87094294781157[/C][/ROW]
[ROW][C]0.72[/C][C]175.662536837973[/C][C]2.92697647885144[/C][/ROW]
[ROW][C]0.73[/C][C]176.237422105728[/C][C]3.00135498335128[/C][/ROW]
[ROW][C]0.74[/C][C]176.837300466908[/C][C]3.09541990323102[/C][/ROW]
[ROW][C]0.75[/C][C]177.466322173431[/C][C]3.2084410500136[/C][/ROW]
[ROW][C]0.76[/C][C]178.128275688164[/C][C]3.33696772766496[/C][/ROW]
[ROW][C]0.77[/C][C]178.826223011709[/C][C]3.4750085440947[/C][/ROW]
[ROW][C]0.78[/C][C]179.56219101154[/C][C]3.61434371177786[/C][/ROW]
[ROW][C]0.79[/C][C]180.336991715881[/C][C]3.74581573949791[/C][/ROW]
[ROW][C]0.8[/C][C]181.150218541004[/C][C]3.86136862513578[/C][/ROW]
[ROW][C]0.81[/C][C]182.000414616248[/C][C]3.95475031517646[/C][/ROW]
[ROW][C]0.82[/C][C]182.885346235707[/C][C]4.02308414199869[/C][/ROW]
[ROW][C]0.83[/C][C]183.802263448266[/C][C]4.06607284434702[/C][/ROW]
[ROW][C]0.84[/C][C]184.748021591789[/C][C]4.08581558637569[/C][/ROW]
[ROW][C]0.85[/C][C]185.718996780834[/C][C]4.08305198872654[/C][/ROW]
[ROW][C]0.86[/C][C]186.710858021188[/C][C]4.05583778921664[/C][/ROW]
[ROW][C]0.87[/C][C]187.718429342404[/C][C]3.9984176698257[/C][/ROW]
[ROW][C]0.88[/C][C]188.736026975619[/C][C]3.90343698565613[/C][/ROW]
[ROW][C]0.89[/C][C]189.75871377586[/C][C]3.76660260938428[/C][/ROW]
[ROW][C]0.9[/C][C]190.78480286761[/C][C]3.59300967441302[/C][/ROW]
[ROW][C]0.91[/C][C]191.819597023614[/C][C]3.40274765593539[/C][/ROW]
[ROW][C]0.92[/C][C]192.879697211753[/C][C]3.23350119483768[/C][/ROW]
[ROW][C]0.93[/C][C]193.996201565109[/C][C]3.13819628896279[/C][/ROW]
[ROW][C]0.94[/C][C]195.213827956433[/C][C]3.16933897911766[/C][/ROW]
[ROW][C]0.95[/C][C]196.581788464579[/C][C]3.33885582359106[/C][/ROW]
[ROW][C]0.96[/C][C]198.131776116431[/C][C]3.56697626711041[/C][/ROW]
[ROW][C]0.97[/C][C]199.839953418166[/C][C]3.68207598805887[/C][/ROW]
[ROW][C]0.98[/C][C]201.577487269429[/C][C]3.53515842667762[/C][/ROW]
[ROW][C]0.99[/C][C]203.078398629682[/C][C]3.19690245658849[/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
0.01120.1080257388523.92332443054561
0.02121.9156523109824.20652716441373
0.03124.0692493417794.71713744818366
0.04126.3097473456565.14342645942776
0.05128.4953879213515.31687583446758
0.06130.5567993841545.27001169618344
0.07132.4646961890015.12226234070772
0.08134.2147708416144.96959073437951
0.09135.8174526478054.83849163050027
0.1137.2884730244974.70668089613831
0.11138.6422859509994.54650057947359
0.12139.889908587564.35124824126266
0.13141.0401454934684.13807724426039
0.14142.1018421836593.93530723271086
0.15143.0852625445883.76791571750403
0.16144.0019313933093.6461633751994
0.17144.8633492974863.56442346822215
0.18145.6794403601953.50554485750084
0.19146.457488708553.45059523742608
0.2147.2019280816953.38531119360654
0.21147.914939400193.30287186677573
0.22148.5975429427553.20614790050424
0.23149.2507865869583.10453167998026
0.24149.8766926154763.01107342714635
0.25150.4787645518722.93980185555878
0.26151.0620076638582.90150266483057
0.27151.6325385309982.90277111345948
0.28152.1969310632572.9433776922406
0.29152.7614684063913.01787677877137
0.3153.3314533641613.11648884598717
0.31153.9106894306813.22731014410219
0.32154.5011945235163.33772403080619
0.33155.1031610158613.43728146698996
0.34155.7151357965343.5170895471651
0.35156.3343665292713.57130796894063
0.36156.9572460795423.59723449546148
0.37157.5797853438033.59552012253717
0.38158.1980532059643.56829304943489
0.39158.808537912883.5202113374598
0.4159.4084032216223.45659123439229
0.41159.9956317089463.38317155054025
0.42160.5690637052133.30552032337488
0.43161.1283514672763.22785924638721
0.44161.6738536924963.15419366566572
0.45162.2064957274113.0874302878207
0.46162.7276171668653.02931610551169
0.47163.2388227652242.98072745753051
0.48163.7418464769722.94184890376913
0.49164.2384333968212.91253533915978
0.5164.730241136852.89214252270942
0.51165.2187608449862.87921370844614
0.52165.7052581707672.87205908174498
0.53166.1907352368852.86896642573441
0.54166.6759152410862.86805954522368
0.55167.1612510416442.8672529250869
0.56167.6469576737152.86533271893804
0.57168.1330663318222.86090346756724
0.58168.6194944581482.85339884646754
0.59169.1061239876662.84295983476078
0.6169.5928783776452.83025307441882
0.61170.0797894771132.81637904771088
0.62170.5670478552292.802377307285
0.63171.0550346222212.78998079632446
0.64171.5443381463782.78004131465251
0.65172.0357640034892.773854195055
0.66172.530349386032.77224073515975
0.67173.0293926437422.77578935108264
0.68173.5345038818762.78555320882435
0.69174.0476739206042.80322718625167
0.7174.5713479888382.83081915394193
0.71175.1084800239212.87094294781157
0.72175.6625368379732.92697647885144
0.73176.2374221057283.00135498335128
0.74176.8373004669083.09541990323102
0.75177.4663221734313.2084410500136
0.76178.1282756881643.33696772766496
0.77178.8262230117093.4750085440947
0.78179.562191011543.61434371177786
0.79180.3369917158813.74581573949791
0.8181.1502185410043.86136862513578
0.81182.0004146162483.95475031517646
0.82182.8853462357074.02308414199869
0.83183.8022634482664.06607284434702
0.84184.7480215917894.08581558637569
0.85185.7189967808344.08305198872654
0.86186.7108580211884.05583778921664
0.87187.7184293424043.9984176698257
0.88188.7360269756193.90343698565613
0.89189.758713775863.76660260938428
0.9190.784802867613.59300967441302
0.91191.8195970236143.40274765593539
0.92192.8796972117533.23350119483768
0.93193.9962015651093.13819628896279
0.94195.2138279564333.16933897911766
0.95196.5817884645793.33885582359106
0.96198.1317761164313.56697626711041
0.97199.8399534181663.68207598805887
0.98201.5774872694293.53515842667762
0.99203.0783986296823.19690245658849


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')