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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 11 Aug 2010 17:01:22 +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/11/t1281546054fqaueoyd0l4lc73.htm/, Retrieved Mon, 06 May 2024 03:58:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78640, Retrieved Mon, 06 May 2024 03:58:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsMarianne Nykjaer
Estimated Impact170

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 2 stap 7] [2010-08-11 17:01:22] [aec95ccba2c38285ca49e8d90cbfedc9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
190
189
188
186
184
183
184
186
187
187
188
190
190
190
197
187
185
182
182
191
183
192
178
181
179
175
183
179
178
175
170
179
169
178
161
168
167
165
181
181
184
181
177
183
162
166
151
162
159
152
164
158
160
161
151
149
131
138
130
147
151
140
149
143
145
139
136
133
118
130
121
142
148
131
137
128
130
119
107
113
93
106
98
118

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78640&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78640&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78640&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0195.43780407556335.55359906488061
0.0299.34009533554336.26634274220841
0.03103.4495043308126.44741339759585
0.04107.1943662518196.36882605826469
0.05110.4836755458796.23795645055319
0.06113.3774256967466.0387355561625
0.07115.9505973267225.82453630849431
0.08118.2704247738735.69205712368608
0.09120.3945474840795.6423520317104
0.1122.3624369147585.57881310834907
0.11124.1893473533895.40625644262408
0.12125.8723517109235.10307427666331
0.13127.4052141545564.72500196938684
0.14128.7921545913634.36767369544309
0.15130.0533234339474.11728426112565
0.16131.2213311329144.01517268547529
0.17132.3328508131164.04879184372007
0.18133.4202503295584.1724260821331
0.19134.5064694283394.3351083401627
0.2135.6038842246364.49881526299675
0.21136.7161079175294.64278983728975
0.22137.8410348669124.75900038276576
0.23138.9737150748634.84728292190778
0.24140.1083435319814.90895800503313
0.25141.2393143432804.94598677785233
0.26142.3616770435884.95923686524076
0.27143.4714027783004.95065037545701
0.28144.5657167374554.92609741872956
0.29145.6435239990994.89522420089571
0.3146.7057729557984.87077097282184
0.31147.7555331550274.86645571127854
0.32148.7976212841464.8920038937501
0.33149.8377518713784.95079036265966
0.34150.8813559296755.03719555577309
0.35151.9323390245855.13745888618914
0.36152.9920965750575.23383738240006
0.37154.0590544692925.30633732212580
0.38155.1288739624105.34002442688125
0.39156.1952913937945.32725728133554
0.4157.2514052908895.26900633402488
0.41158.2911195573675.17520762469294
0.42159.3104262578335.06248634458073
0.43160.3082646127124.95124839045267
0.44161.2868015862174.86120720657915
0.45162.2511088901444.80837704243576
0.46163.2083267278824.80169251477161
0.47164.1664826421584.84221827278951
0.48165.1331668806894.92294918881535
0.49166.1142603740925.03017742559766
0.5167.1128817770955.14525450153266
0.51168.1286796380665.24779959020349
0.52169.1575523366815.3165843845991
0.53170.1918328917975.33324008517581
0.54171.2209255190725.28399759679115
0.55172.2323249898675.16099976319173
0.56173.2128931389784.96459250743857
0.57174.1502202453544.70203816660501
0.58175.0338763195024.38731447497337
0.59175.8563695421924.03894045307713
0.6176.6136787460733.67737319588391
0.61177.3053053454683.32210798270614
0.62177.9338794591792.98971795503722
0.63178.5044331220582.69173767759580
0.64179.0235017053912.433589112189
0.65179.4982236203362.21578883279152
0.66179.9355806735682.03470065444767
0.67180.3418697134201.88461786020365
0.68180.7224376366261.75910038076459
0.69181.0816615859391.6524425546921
0.7181.4231225231221.56038763729297
0.71181.7499034338831.48065453008909
0.72182.064937765351.41295153070175
0.73182.3713330817521.35832968698637
0.74182.6725967720841.31931799374598
0.75182.9726978844601.29859519363943
0.76183.2759186093381.29765002731263
0.77183.5864869108011.31568377987076
0.78183.9080388550191.34885139617225
0.79184.2430260222631.38973952911040
0.8184.5922399599421.42921138401719
0.81184.9546446271741.45760468121791
0.82185.3276630606851.46770461145806
0.83185.7079433731191.45679244247112
0.84186.0924452550161.42764614223720
0.85186.4794894651881.38863037909619
0.86186.8692805429661.35054187873903
0.87187.2634470751731.32187846898308
0.88187.6634328036221.30283297287248
0.89188.0681420004481.28236856762231
0.9188.4719846130371.24057509739684
0.91188.8650646143631.15819320397273
0.92189.2372117590731.02990039307346
0.93189.5865158223050.877118354554278
0.94189.9315924708970.755887795382766
0.95190.3273856640060.75212268464379
0.96190.8880811898480.944871851105863
0.97191.8117019350331.41929977365668
0.98193.3272051637212.34572242256822
0.99195.3603573802623.74178743528812

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 95.4378040755633 & 5.55359906488061 \tabularnewline
0.02 & 99.3400953355433 & 6.26634274220841 \tabularnewline
0.03 & 103.449504330812 & 6.44741339759585 \tabularnewline
0.04 & 107.194366251819 & 6.36882605826469 \tabularnewline
0.05 & 110.483675545879 & 6.23795645055319 \tabularnewline
0.06 & 113.377425696746 & 6.0387355561625 \tabularnewline
0.07 & 115.950597326722 & 5.82453630849431 \tabularnewline
0.08 & 118.270424773873 & 5.69205712368608 \tabularnewline
0.09 & 120.394547484079 & 5.6423520317104 \tabularnewline
0.1 & 122.362436914758 & 5.57881310834907 \tabularnewline
0.11 & 124.189347353389 & 5.40625644262408 \tabularnewline
0.12 & 125.872351710923 & 5.10307427666331 \tabularnewline
0.13 & 127.405214154556 & 4.72500196938684 \tabularnewline
0.14 & 128.792154591363 & 4.36767369544309 \tabularnewline
0.15 & 130.053323433947 & 4.11728426112565 \tabularnewline
0.16 & 131.221331132914 & 4.01517268547529 \tabularnewline
0.17 & 132.332850813116 & 4.04879184372007 \tabularnewline
0.18 & 133.420250329558 & 4.1724260821331 \tabularnewline
0.19 & 134.506469428339 & 4.3351083401627 \tabularnewline
0.2 & 135.603884224636 & 4.49881526299675 \tabularnewline
0.21 & 136.716107917529 & 4.64278983728975 \tabularnewline
0.22 & 137.841034866912 & 4.75900038276576 \tabularnewline
0.23 & 138.973715074863 & 4.84728292190778 \tabularnewline
0.24 & 140.108343531981 & 4.90895800503313 \tabularnewline
0.25 & 141.239314343280 & 4.94598677785233 \tabularnewline
0.26 & 142.361677043588 & 4.95923686524076 \tabularnewline
0.27 & 143.471402778300 & 4.95065037545701 \tabularnewline
0.28 & 144.565716737455 & 4.92609741872956 \tabularnewline
0.29 & 145.643523999099 & 4.89522420089571 \tabularnewline
0.3 & 146.705772955798 & 4.87077097282184 \tabularnewline
0.31 & 147.755533155027 & 4.86645571127854 \tabularnewline
0.32 & 148.797621284146 & 4.8920038937501 \tabularnewline
0.33 & 149.837751871378 & 4.95079036265966 \tabularnewline
0.34 & 150.881355929675 & 5.03719555577309 \tabularnewline
0.35 & 151.932339024585 & 5.13745888618914 \tabularnewline
0.36 & 152.992096575057 & 5.23383738240006 \tabularnewline
0.37 & 154.059054469292 & 5.30633732212580 \tabularnewline
0.38 & 155.128873962410 & 5.34002442688125 \tabularnewline
0.39 & 156.195291393794 & 5.32725728133554 \tabularnewline
0.4 & 157.251405290889 & 5.26900633402488 \tabularnewline
0.41 & 158.291119557367 & 5.17520762469294 \tabularnewline
0.42 & 159.310426257833 & 5.06248634458073 \tabularnewline
0.43 & 160.308264612712 & 4.95124839045267 \tabularnewline
0.44 & 161.286801586217 & 4.86120720657915 \tabularnewline
0.45 & 162.251108890144 & 4.80837704243576 \tabularnewline
0.46 & 163.208326727882 & 4.80169251477161 \tabularnewline
0.47 & 164.166482642158 & 4.84221827278951 \tabularnewline
0.48 & 165.133166880689 & 4.92294918881535 \tabularnewline
0.49 & 166.114260374092 & 5.03017742559766 \tabularnewline
0.5 & 167.112881777095 & 5.14525450153266 \tabularnewline
0.51 & 168.128679638066 & 5.24779959020349 \tabularnewline
0.52 & 169.157552336681 & 5.3165843845991 \tabularnewline
0.53 & 170.191832891797 & 5.33324008517581 \tabularnewline
0.54 & 171.220925519072 & 5.28399759679115 \tabularnewline
0.55 & 172.232324989867 & 5.16099976319173 \tabularnewline
0.56 & 173.212893138978 & 4.96459250743857 \tabularnewline
0.57 & 174.150220245354 & 4.70203816660501 \tabularnewline
0.58 & 175.033876319502 & 4.38731447497337 \tabularnewline
0.59 & 175.856369542192 & 4.03894045307713 \tabularnewline
0.6 & 176.613678746073 & 3.67737319588391 \tabularnewline
0.61 & 177.305305345468 & 3.32210798270614 \tabularnewline
0.62 & 177.933879459179 & 2.98971795503722 \tabularnewline
0.63 & 178.504433122058 & 2.69173767759580 \tabularnewline
0.64 & 179.023501705391 & 2.433589112189 \tabularnewline
0.65 & 179.498223620336 & 2.21578883279152 \tabularnewline
0.66 & 179.935580673568 & 2.03470065444767 \tabularnewline
0.67 & 180.341869713420 & 1.88461786020365 \tabularnewline
0.68 & 180.722437636626 & 1.75910038076459 \tabularnewline
0.69 & 181.081661585939 & 1.6524425546921 \tabularnewline
0.7 & 181.423122523122 & 1.56038763729297 \tabularnewline
0.71 & 181.749903433883 & 1.48065453008909 \tabularnewline
0.72 & 182.06493776535 & 1.41295153070175 \tabularnewline
0.73 & 182.371333081752 & 1.35832968698637 \tabularnewline
0.74 & 182.672596772084 & 1.31931799374598 \tabularnewline
0.75 & 182.972697884460 & 1.29859519363943 \tabularnewline
0.76 & 183.275918609338 & 1.29765002731263 \tabularnewline
0.77 & 183.586486910801 & 1.31568377987076 \tabularnewline
0.78 & 183.908038855019 & 1.34885139617225 \tabularnewline
0.79 & 184.243026022263 & 1.38973952911040 \tabularnewline
0.8 & 184.592239959942 & 1.42921138401719 \tabularnewline
0.81 & 184.954644627174 & 1.45760468121791 \tabularnewline
0.82 & 185.327663060685 & 1.46770461145806 \tabularnewline
0.83 & 185.707943373119 & 1.45679244247112 \tabularnewline
0.84 & 186.092445255016 & 1.42764614223720 \tabularnewline
0.85 & 186.479489465188 & 1.38863037909619 \tabularnewline
0.86 & 186.869280542966 & 1.35054187873903 \tabularnewline
0.87 & 187.263447075173 & 1.32187846898308 \tabularnewline
0.88 & 187.663432803622 & 1.30283297287248 \tabularnewline
0.89 & 188.068142000448 & 1.28236856762231 \tabularnewline
0.9 & 188.471984613037 & 1.24057509739684 \tabularnewline
0.91 & 188.865064614363 & 1.15819320397273 \tabularnewline
0.92 & 189.237211759073 & 1.02990039307346 \tabularnewline
0.93 & 189.586515822305 & 0.877118354554278 \tabularnewline
0.94 & 189.931592470897 & 0.755887795382766 \tabularnewline
0.95 & 190.327385664006 & 0.75212268464379 \tabularnewline
0.96 & 190.888081189848 & 0.944871851105863 \tabularnewline
0.97 & 191.811701935033 & 1.41929977365668 \tabularnewline
0.98 & 193.327205163721 & 2.34572242256822 \tabularnewline
0.99 & 195.360357380262 & 3.74178743528812 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78640&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]95.4378040755633[/C][C]5.55359906488061[/C][/ROW]
[ROW][C]0.02[/C][C]99.3400953355433[/C][C]6.26634274220841[/C][/ROW]
[ROW][C]0.03[/C][C]103.449504330812[/C][C]6.44741339759585[/C][/ROW]
[ROW][C]0.04[/C][C]107.194366251819[/C][C]6.36882605826469[/C][/ROW]
[ROW][C]0.05[/C][C]110.483675545879[/C][C]6.23795645055319[/C][/ROW]
[ROW][C]0.06[/C][C]113.377425696746[/C][C]6.0387355561625[/C][/ROW]
[ROW][C]0.07[/C][C]115.950597326722[/C][C]5.82453630849431[/C][/ROW]
[ROW][C]0.08[/C][C]118.270424773873[/C][C]5.69205712368608[/C][/ROW]
[ROW][C]0.09[/C][C]120.394547484079[/C][C]5.6423520317104[/C][/ROW]
[ROW][C]0.1[/C][C]122.362436914758[/C][C]5.57881310834907[/C][/ROW]
[ROW][C]0.11[/C][C]124.189347353389[/C][C]5.40625644262408[/C][/ROW]
[ROW][C]0.12[/C][C]125.872351710923[/C][C]5.10307427666331[/C][/ROW]
[ROW][C]0.13[/C][C]127.405214154556[/C][C]4.72500196938684[/C][/ROW]
[ROW][C]0.14[/C][C]128.792154591363[/C][C]4.36767369544309[/C][/ROW]
[ROW][C]0.15[/C][C]130.053323433947[/C][C]4.11728426112565[/C][/ROW]
[ROW][C]0.16[/C][C]131.221331132914[/C][C]4.01517268547529[/C][/ROW]
[ROW][C]0.17[/C][C]132.332850813116[/C][C]4.04879184372007[/C][/ROW]
[ROW][C]0.18[/C][C]133.420250329558[/C][C]4.1724260821331[/C][/ROW]
[ROW][C]0.19[/C][C]134.506469428339[/C][C]4.3351083401627[/C][/ROW]
[ROW][C]0.2[/C][C]135.603884224636[/C][C]4.49881526299675[/C][/ROW]
[ROW][C]0.21[/C][C]136.716107917529[/C][C]4.64278983728975[/C][/ROW]
[ROW][C]0.22[/C][C]137.841034866912[/C][C]4.75900038276576[/C][/ROW]
[ROW][C]0.23[/C][C]138.973715074863[/C][C]4.84728292190778[/C][/ROW]
[ROW][C]0.24[/C][C]140.108343531981[/C][C]4.90895800503313[/C][/ROW]
[ROW][C]0.25[/C][C]141.239314343280[/C][C]4.94598677785233[/C][/ROW]
[ROW][C]0.26[/C][C]142.361677043588[/C][C]4.95923686524076[/C][/ROW]
[ROW][C]0.27[/C][C]143.471402778300[/C][C]4.95065037545701[/C][/ROW]
[ROW][C]0.28[/C][C]144.565716737455[/C][C]4.92609741872956[/C][/ROW]
[ROW][C]0.29[/C][C]145.643523999099[/C][C]4.89522420089571[/C][/ROW]
[ROW][C]0.3[/C][C]146.705772955798[/C][C]4.87077097282184[/C][/ROW]
[ROW][C]0.31[/C][C]147.755533155027[/C][C]4.86645571127854[/C][/ROW]
[ROW][C]0.32[/C][C]148.797621284146[/C][C]4.8920038937501[/C][/ROW]
[ROW][C]0.33[/C][C]149.837751871378[/C][C]4.95079036265966[/C][/ROW]
[ROW][C]0.34[/C][C]150.881355929675[/C][C]5.03719555577309[/C][/ROW]
[ROW][C]0.35[/C][C]151.932339024585[/C][C]5.13745888618914[/C][/ROW]
[ROW][C]0.36[/C][C]152.992096575057[/C][C]5.23383738240006[/C][/ROW]
[ROW][C]0.37[/C][C]154.059054469292[/C][C]5.30633732212580[/C][/ROW]
[ROW][C]0.38[/C][C]155.128873962410[/C][C]5.34002442688125[/C][/ROW]
[ROW][C]0.39[/C][C]156.195291393794[/C][C]5.32725728133554[/C][/ROW]
[ROW][C]0.4[/C][C]157.251405290889[/C][C]5.26900633402488[/C][/ROW]
[ROW][C]0.41[/C][C]158.291119557367[/C][C]5.17520762469294[/C][/ROW]
[ROW][C]0.42[/C][C]159.310426257833[/C][C]5.06248634458073[/C][/ROW]
[ROW][C]0.43[/C][C]160.308264612712[/C][C]4.95124839045267[/C][/ROW]
[ROW][C]0.44[/C][C]161.286801586217[/C][C]4.86120720657915[/C][/ROW]
[ROW][C]0.45[/C][C]162.251108890144[/C][C]4.80837704243576[/C][/ROW]
[ROW][C]0.46[/C][C]163.208326727882[/C][C]4.80169251477161[/C][/ROW]
[ROW][C]0.47[/C][C]164.166482642158[/C][C]4.84221827278951[/C][/ROW]
[ROW][C]0.48[/C][C]165.133166880689[/C][C]4.92294918881535[/C][/ROW]
[ROW][C]0.49[/C][C]166.114260374092[/C][C]5.03017742559766[/C][/ROW]
[ROW][C]0.5[/C][C]167.112881777095[/C][C]5.14525450153266[/C][/ROW]
[ROW][C]0.51[/C][C]168.128679638066[/C][C]5.24779959020349[/C][/ROW]
[ROW][C]0.52[/C][C]169.157552336681[/C][C]5.3165843845991[/C][/ROW]
[ROW][C]0.53[/C][C]170.191832891797[/C][C]5.33324008517581[/C][/ROW]
[ROW][C]0.54[/C][C]171.220925519072[/C][C]5.28399759679115[/C][/ROW]
[ROW][C]0.55[/C][C]172.232324989867[/C][C]5.16099976319173[/C][/ROW]
[ROW][C]0.56[/C][C]173.212893138978[/C][C]4.96459250743857[/C][/ROW]
[ROW][C]0.57[/C][C]174.150220245354[/C][C]4.70203816660501[/C][/ROW]
[ROW][C]0.58[/C][C]175.033876319502[/C][C]4.38731447497337[/C][/ROW]
[ROW][C]0.59[/C][C]175.856369542192[/C][C]4.03894045307713[/C][/ROW]
[ROW][C]0.6[/C][C]176.613678746073[/C][C]3.67737319588391[/C][/ROW]
[ROW][C]0.61[/C][C]177.305305345468[/C][C]3.32210798270614[/C][/ROW]
[ROW][C]0.62[/C][C]177.933879459179[/C][C]2.98971795503722[/C][/ROW]
[ROW][C]0.63[/C][C]178.504433122058[/C][C]2.69173767759580[/C][/ROW]
[ROW][C]0.64[/C][C]179.023501705391[/C][C]2.433589112189[/C][/ROW]
[ROW][C]0.65[/C][C]179.498223620336[/C][C]2.21578883279152[/C][/ROW]
[ROW][C]0.66[/C][C]179.935580673568[/C][C]2.03470065444767[/C][/ROW]
[ROW][C]0.67[/C][C]180.341869713420[/C][C]1.88461786020365[/C][/ROW]
[ROW][C]0.68[/C][C]180.722437636626[/C][C]1.75910038076459[/C][/ROW]
[ROW][C]0.69[/C][C]181.081661585939[/C][C]1.6524425546921[/C][/ROW]
[ROW][C]0.7[/C][C]181.423122523122[/C][C]1.56038763729297[/C][/ROW]
[ROW][C]0.71[/C][C]181.749903433883[/C][C]1.48065453008909[/C][/ROW]
[ROW][C]0.72[/C][C]182.06493776535[/C][C]1.41295153070175[/C][/ROW]
[ROW][C]0.73[/C][C]182.371333081752[/C][C]1.35832968698637[/C][/ROW]
[ROW][C]0.74[/C][C]182.672596772084[/C][C]1.31931799374598[/C][/ROW]
[ROW][C]0.75[/C][C]182.972697884460[/C][C]1.29859519363943[/C][/ROW]
[ROW][C]0.76[/C][C]183.275918609338[/C][C]1.29765002731263[/C][/ROW]
[ROW][C]0.77[/C][C]183.586486910801[/C][C]1.31568377987076[/C][/ROW]
[ROW][C]0.78[/C][C]183.908038855019[/C][C]1.34885139617225[/C][/ROW]
[ROW][C]0.79[/C][C]184.243026022263[/C][C]1.38973952911040[/C][/ROW]
[ROW][C]0.8[/C][C]184.592239959942[/C][C]1.42921138401719[/C][/ROW]
[ROW][C]0.81[/C][C]184.954644627174[/C][C]1.45760468121791[/C][/ROW]
[ROW][C]0.82[/C][C]185.327663060685[/C][C]1.46770461145806[/C][/ROW]
[ROW][C]0.83[/C][C]185.707943373119[/C][C]1.45679244247112[/C][/ROW]
[ROW][C]0.84[/C][C]186.092445255016[/C][C]1.42764614223720[/C][/ROW]
[ROW][C]0.85[/C][C]186.479489465188[/C][C]1.38863037909619[/C][/ROW]
[ROW][C]0.86[/C][C]186.869280542966[/C][C]1.35054187873903[/C][/ROW]
[ROW][C]0.87[/C][C]187.263447075173[/C][C]1.32187846898308[/C][/ROW]
[ROW][C]0.88[/C][C]187.663432803622[/C][C]1.30283297287248[/C][/ROW]
[ROW][C]0.89[/C][C]188.068142000448[/C][C]1.28236856762231[/C][/ROW]
[ROW][C]0.9[/C][C]188.471984613037[/C][C]1.24057509739684[/C][/ROW]
[ROW][C]0.91[/C][C]188.865064614363[/C][C]1.15819320397273[/C][/ROW]
[ROW][C]0.92[/C][C]189.237211759073[/C][C]1.02990039307346[/C][/ROW]
[ROW][C]0.93[/C][C]189.586515822305[/C][C]0.877118354554278[/C][/ROW]
[ROW][C]0.94[/C][C]189.931592470897[/C][C]0.755887795382766[/C][/ROW]
[ROW][C]0.95[/C][C]190.327385664006[/C][C]0.75212268464379[/C][/ROW]
[ROW][C]0.96[/C][C]190.888081189848[/C][C]0.944871851105863[/C][/ROW]
[ROW][C]0.97[/C][C]191.811701935033[/C][C]1.41929977365668[/C][/ROW]
[ROW][C]0.98[/C][C]193.327205163721[/C][C]2.34572242256822[/C][/ROW]
[ROW][C]0.99[/C][C]195.360357380262[/C][C]3.74178743528812[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78640&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78640&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
0.0195.43780407556335.55359906488061
0.0299.34009533554336.26634274220841
0.03103.4495043308126.44741339759585
0.04107.1943662518196.36882605826469
0.05110.4836755458796.23795645055319
0.06113.3774256967466.0387355561625
0.07115.9505973267225.82453630849431
0.08118.2704247738735.69205712368608
0.09120.3945474840795.6423520317104
0.1122.3624369147585.57881310834907
0.11124.1893473533895.40625644262408
0.12125.8723517109235.10307427666331
0.13127.4052141545564.72500196938684
0.14128.7921545913634.36767369544309
0.15130.0533234339474.11728426112565
0.16131.2213311329144.01517268547529
0.17132.3328508131164.04879184372007
0.18133.4202503295584.1724260821331
0.19134.5064694283394.3351083401627
0.2135.6038842246364.49881526299675
0.21136.7161079175294.64278983728975
0.22137.8410348669124.75900038276576
0.23138.9737150748634.84728292190778
0.24140.1083435319814.90895800503313
0.25141.2393143432804.94598677785233
0.26142.3616770435884.95923686524076
0.27143.4714027783004.95065037545701
0.28144.5657167374554.92609741872956
0.29145.6435239990994.89522420089571
0.3146.7057729557984.87077097282184
0.31147.7555331550274.86645571127854
0.32148.7976212841464.8920038937501
0.33149.8377518713784.95079036265966
0.34150.8813559296755.03719555577309
0.35151.9323390245855.13745888618914
0.36152.9920965750575.23383738240006
0.37154.0590544692925.30633732212580
0.38155.1288739624105.34002442688125
0.39156.1952913937945.32725728133554
0.4157.2514052908895.26900633402488
0.41158.2911195573675.17520762469294
0.42159.3104262578335.06248634458073
0.43160.3082646127124.95124839045267
0.44161.2868015862174.86120720657915
0.45162.2511088901444.80837704243576
0.46163.2083267278824.80169251477161
0.47164.1664826421584.84221827278951
0.48165.1331668806894.92294918881535
0.49166.1142603740925.03017742559766
0.5167.1128817770955.14525450153266
0.51168.1286796380665.24779959020349
0.52169.1575523366815.3165843845991
0.53170.1918328917975.33324008517581
0.54171.2209255190725.28399759679115
0.55172.2323249898675.16099976319173
0.56173.2128931389784.96459250743857
0.57174.1502202453544.70203816660501
0.58175.0338763195024.38731447497337
0.59175.8563695421924.03894045307713
0.6176.6136787460733.67737319588391
0.61177.3053053454683.32210798270614
0.62177.9338794591792.98971795503722
0.63178.5044331220582.69173767759580
0.64179.0235017053912.433589112189
0.65179.4982236203362.21578883279152
0.66179.9355806735682.03470065444767
0.67180.3418697134201.88461786020365
0.68180.7224376366261.75910038076459
0.69181.0816615859391.6524425546921
0.7181.4231225231221.56038763729297
0.71181.7499034338831.48065453008909
0.72182.064937765351.41295153070175
0.73182.3713330817521.35832968698637
0.74182.6725967720841.31931799374598
0.75182.9726978844601.29859519363943
0.76183.2759186093381.29765002731263
0.77183.5864869108011.31568377987076
0.78183.9080388550191.34885139617225
0.79184.2430260222631.38973952911040
0.8184.5922399599421.42921138401719
0.81184.9546446271741.45760468121791
0.82185.3276630606851.46770461145806
0.83185.7079433731191.45679244247112
0.84186.0924452550161.42764614223720
0.85186.4794894651881.38863037909619
0.86186.8692805429661.35054187873903
0.87187.2634470751731.32187846898308
0.88187.6634328036221.30283297287248
0.89188.0681420004481.28236856762231
0.9188.4719846130371.24057509739684
0.91188.8650646143631.15819320397273
0.92189.2372117590731.02990039307346
0.93189.5865158223050.877118354554278
0.94189.9315924708970.755887795382766
0.95190.3273856640060.75212268464379
0.96190.8880811898480.944871851105863
0.97191.8117019350331.41929977365668
0.98193.3272051637212.34572242256822
0.99195.3603573802623.74178743528812


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')