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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, 27 Feb 2013 12:26:34 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Feb/27/t1361986030juiumul9utl4ord.htm/, Retrieved Sat, 27 Apr 2024 23:36:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=207173, Retrieved Sat, 27 Apr 2024 23:36:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact179

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 eigen] [2013-02-27 17:26:34] [bc2cf5f41ec5ca561b7a550898b8dd0d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
122.27
124.69
147.56
120.03
136.01
138.16
122.87
112.22
137.35
139.08
139.64
121.12
132.37
130.69
149.41
130.72
139.14
146.55
137.35
122.73
138.97
154.73
143.4
123.88
140.25
142.39
143.81
153.58
144.71
153.84
151.3
121.92
153.05
149.29
118.81
109.19
103.68
106.94
114.43
107.87
103.14
117.02
112.44
95.85
123.86
121.83
121.95
120.34
113.32
117.31
141.69
130.35
127.28
148.1
131.21
120.37
146.91
144.04
141.77
132.15
142.04
149.77
172.31
150.24
163.23
155.92
146.96
134.51
152.83
150.54
150.98
138.82

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=207173&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=207173&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207173&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
0.0197.80462194711575.7157741624117
0.02100.4364204445974.06279850607151
0.03102.8011385042193.13350984070461
0.04104.6697954816252.90820770714437
0.05106.1790151443672.9434108345622
0.06107.4894353697163.00490949356402
0.07108.688924622843.04505734959666
0.08109.8126774824673.06476819305593
0.09110.8745667619993.07112219985606
0.1111.8827302808853.07337563791779
0.11112.8439523602823.07770188023721
0.12113.7636573871253.08112478069998
0.13114.6448665058423.07115111054264
0.14115.4874740341413.03216819124753
0.15116.2884012451492.95276200530112
0.16117.0426572604182.82972258446717
0.17117.7449268579492.66874660004879
0.18118.3911477910312.48134728293601
0.19118.9796511832012.28270339313256
0.2119.5116874094982.08787780611451
0.21119.9913938204211.91071501146001
0.22120.4253925051471.76267644227446
0.23120.8222263455581.65280813748083
0.24121.1917867243051.58847613402391
0.25121.5448043599951.57516072392852
0.26121.8924032918821.61682194530048
0.27122.2456770191591.7140872766801
0.28122.6152395070351.86441334899223
0.29123.0107256512382.06159584568347
0.3123.4402534170942.29595391050522
0.31123.9098990148742.55439324902026
0.32124.4232642596442.82207851472665
0.33124.9812225349333.08342172229565
0.34125.5819127920093.3230156159636
0.35126.221012284673.52902811416944
0.36126.8922667127283.69221484117655
0.37127.5882037632893.8086784700637
0.38128.3009164490183.87946379552893
0.39129.0227872531163.90948710589554
0.4129.7470380032443.90619932385282
0.41130.4680309073333.8775032448888
0.42131.1813032841343.8310785843298
0.43131.8833776610733.77146102774702
0.44132.5714351817823.7005829996751
0.45133.2429626292173.6176255964731
0.46133.8954775964323.52012047920485
0.47134.5264057749113.40519691913035
0.48135.133138443613.27217662448261
0.49135.7132495514813.12181477383147
0.5136.2648122995612.95767952373949
0.51136.7867333439672.78617007980253
0.52137.2790219771882.61485643400633
0.53137.7429299260452.45215956533681
0.54138.1809286482442.30646469237863
0.55138.5965269716362.18392592779881
0.56138.9939642886012.08828836671283
0.57139.3778366681022.02103811815067
0.58139.7527213891261.97988049472429
0.59140.1228590247491.96111278810103
0.6140.4919338977141.95997735646471
0.61140.8629684242841.97121905012419
0.62141.2383207349291.99101019112793
0.63141.6197540764892.01641125141442
0.64142.0085354977472.04521308672207
0.65142.405522339712.07629921498168
0.66142.811207188412.10825860744384
0.67143.2257113996012.13920672828438
0.68143.6487382728332.16753815232551
0.69144.0795131678372.18978683551045
0.7144.516744407252.20313122246941
0.71144.9586337797592.20425637011753
0.72145.402950803392.19113619100191
0.73145.8471661087542.16272648078177
0.74146.2886236271792.11920216610824
0.75146.7247250402112.06205149331894
0.76147.1531056968271.99297520901697
0.77147.5717959495891.91482505884729
0.78147.979377514641.83036975173025
0.79148.375150678781.74253543179689
0.8148.7593169142551.65515233003072
0.81149.1331516861131.57274275662814
0.82149.4991029869291.50090989646474
0.83149.860721445331.44485490514744
0.84150.222332725541.40847712573515
0.85150.5884252546571.39216947485401
0.86150.9628560300841.39132613651715
0.87151.348161874891.39648581739544
0.88151.7454679029611.39617070762973
0.89152.1556687401971.38213575544443
0.9152.5827049000871.35595402180753
0.91153.0398751156261.33723754440519
0.92153.560147876471.37455991628534
0.93154.2109924455951.55627813119662
0.94155.1124433291392.00417330894445
0.95156.452217637932.82535017298946
0.96158.4795752553334.03418273111025
0.97161.4313635242915.48441721321643
0.98165.3035046547446.91614506480704
0.99169.4356639343758.13931698744211

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 97.8046219471157 & 5.7157741624117 \tabularnewline
0.02 & 100.436420444597 & 4.06279850607151 \tabularnewline
0.03 & 102.801138504219 & 3.13350984070461 \tabularnewline
0.04 & 104.669795481625 & 2.90820770714437 \tabularnewline
0.05 & 106.179015144367 & 2.9434108345622 \tabularnewline
0.06 & 107.489435369716 & 3.00490949356402 \tabularnewline
0.07 & 108.68892462284 & 3.04505734959666 \tabularnewline
0.08 & 109.812677482467 & 3.06476819305593 \tabularnewline
0.09 & 110.874566761999 & 3.07112219985606 \tabularnewline
0.1 & 111.882730280885 & 3.07337563791779 \tabularnewline
0.11 & 112.843952360282 & 3.07770188023721 \tabularnewline
0.12 & 113.763657387125 & 3.08112478069998 \tabularnewline
0.13 & 114.644866505842 & 3.07115111054264 \tabularnewline
0.14 & 115.487474034141 & 3.03216819124753 \tabularnewline
0.15 & 116.288401245149 & 2.95276200530112 \tabularnewline
0.16 & 117.042657260418 & 2.82972258446717 \tabularnewline
0.17 & 117.744926857949 & 2.66874660004879 \tabularnewline
0.18 & 118.391147791031 & 2.48134728293601 \tabularnewline
0.19 & 118.979651183201 & 2.28270339313256 \tabularnewline
0.2 & 119.511687409498 & 2.08787780611451 \tabularnewline
0.21 & 119.991393820421 & 1.91071501146001 \tabularnewline
0.22 & 120.425392505147 & 1.76267644227446 \tabularnewline
0.23 & 120.822226345558 & 1.65280813748083 \tabularnewline
0.24 & 121.191786724305 & 1.58847613402391 \tabularnewline
0.25 & 121.544804359995 & 1.57516072392852 \tabularnewline
0.26 & 121.892403291882 & 1.61682194530048 \tabularnewline
0.27 & 122.245677019159 & 1.7140872766801 \tabularnewline
0.28 & 122.615239507035 & 1.86441334899223 \tabularnewline
0.29 & 123.010725651238 & 2.06159584568347 \tabularnewline
0.3 & 123.440253417094 & 2.29595391050522 \tabularnewline
0.31 & 123.909899014874 & 2.55439324902026 \tabularnewline
0.32 & 124.423264259644 & 2.82207851472665 \tabularnewline
0.33 & 124.981222534933 & 3.08342172229565 \tabularnewline
0.34 & 125.581912792009 & 3.3230156159636 \tabularnewline
0.35 & 126.22101228467 & 3.52902811416944 \tabularnewline
0.36 & 126.892266712728 & 3.69221484117655 \tabularnewline
0.37 & 127.588203763289 & 3.8086784700637 \tabularnewline
0.38 & 128.300916449018 & 3.87946379552893 \tabularnewline
0.39 & 129.022787253116 & 3.90948710589554 \tabularnewline
0.4 & 129.747038003244 & 3.90619932385282 \tabularnewline
0.41 & 130.468030907333 & 3.8775032448888 \tabularnewline
0.42 & 131.181303284134 & 3.8310785843298 \tabularnewline
0.43 & 131.883377661073 & 3.77146102774702 \tabularnewline
0.44 & 132.571435181782 & 3.7005829996751 \tabularnewline
0.45 & 133.242962629217 & 3.6176255964731 \tabularnewline
0.46 & 133.895477596432 & 3.52012047920485 \tabularnewline
0.47 & 134.526405774911 & 3.40519691913035 \tabularnewline
0.48 & 135.13313844361 & 3.27217662448261 \tabularnewline
0.49 & 135.713249551481 & 3.12181477383147 \tabularnewline
0.5 & 136.264812299561 & 2.95767952373949 \tabularnewline
0.51 & 136.786733343967 & 2.78617007980253 \tabularnewline
0.52 & 137.279021977188 & 2.61485643400633 \tabularnewline
0.53 & 137.742929926045 & 2.45215956533681 \tabularnewline
0.54 & 138.180928648244 & 2.30646469237863 \tabularnewline
0.55 & 138.596526971636 & 2.18392592779881 \tabularnewline
0.56 & 138.993964288601 & 2.08828836671283 \tabularnewline
0.57 & 139.377836668102 & 2.02103811815067 \tabularnewline
0.58 & 139.752721389126 & 1.97988049472429 \tabularnewline
0.59 & 140.122859024749 & 1.96111278810103 \tabularnewline
0.6 & 140.491933897714 & 1.95997735646471 \tabularnewline
0.61 & 140.862968424284 & 1.97121905012419 \tabularnewline
0.62 & 141.238320734929 & 1.99101019112793 \tabularnewline
0.63 & 141.619754076489 & 2.01641125141442 \tabularnewline
0.64 & 142.008535497747 & 2.04521308672207 \tabularnewline
0.65 & 142.40552233971 & 2.07629921498168 \tabularnewline
0.66 & 142.81120718841 & 2.10825860744384 \tabularnewline
0.67 & 143.225711399601 & 2.13920672828438 \tabularnewline
0.68 & 143.648738272833 & 2.16753815232551 \tabularnewline
0.69 & 144.079513167837 & 2.18978683551045 \tabularnewline
0.7 & 144.51674440725 & 2.20313122246941 \tabularnewline
0.71 & 144.958633779759 & 2.20425637011753 \tabularnewline
0.72 & 145.40295080339 & 2.19113619100191 \tabularnewline
0.73 & 145.847166108754 & 2.16272648078177 \tabularnewline
0.74 & 146.288623627179 & 2.11920216610824 \tabularnewline
0.75 & 146.724725040211 & 2.06205149331894 \tabularnewline
0.76 & 147.153105696827 & 1.99297520901697 \tabularnewline
0.77 & 147.571795949589 & 1.91482505884729 \tabularnewline
0.78 & 147.97937751464 & 1.83036975173025 \tabularnewline
0.79 & 148.37515067878 & 1.74253543179689 \tabularnewline
0.8 & 148.759316914255 & 1.65515233003072 \tabularnewline
0.81 & 149.133151686113 & 1.57274275662814 \tabularnewline
0.82 & 149.499102986929 & 1.50090989646474 \tabularnewline
0.83 & 149.86072144533 & 1.44485490514744 \tabularnewline
0.84 & 150.22233272554 & 1.40847712573515 \tabularnewline
0.85 & 150.588425254657 & 1.39216947485401 \tabularnewline
0.86 & 150.962856030084 & 1.39132613651715 \tabularnewline
0.87 & 151.34816187489 & 1.39648581739544 \tabularnewline
0.88 & 151.745467902961 & 1.39617070762973 \tabularnewline
0.89 & 152.155668740197 & 1.38213575544443 \tabularnewline
0.9 & 152.582704900087 & 1.35595402180753 \tabularnewline
0.91 & 153.039875115626 & 1.33723754440519 \tabularnewline
0.92 & 153.56014787647 & 1.37455991628534 \tabularnewline
0.93 & 154.210992445595 & 1.55627813119662 \tabularnewline
0.94 & 155.112443329139 & 2.00417330894445 \tabularnewline
0.95 & 156.45221763793 & 2.82535017298946 \tabularnewline
0.96 & 158.479575255333 & 4.03418273111025 \tabularnewline
0.97 & 161.431363524291 & 5.48441721321643 \tabularnewline
0.98 & 165.303504654744 & 6.91614506480704 \tabularnewline
0.99 & 169.435663934375 & 8.13931698744211 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207173&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]97.8046219471157[/C][C]5.7157741624117[/C][/ROW]
[ROW][C]0.02[/C][C]100.436420444597[/C][C]4.06279850607151[/C][/ROW]
[ROW][C]0.03[/C][C]102.801138504219[/C][C]3.13350984070461[/C][/ROW]
[ROW][C]0.04[/C][C]104.669795481625[/C][C]2.90820770714437[/C][/ROW]
[ROW][C]0.05[/C][C]106.179015144367[/C][C]2.9434108345622[/C][/ROW]
[ROW][C]0.06[/C][C]107.489435369716[/C][C]3.00490949356402[/C][/ROW]
[ROW][C]0.07[/C][C]108.68892462284[/C][C]3.04505734959666[/C][/ROW]
[ROW][C]0.08[/C][C]109.812677482467[/C][C]3.06476819305593[/C][/ROW]
[ROW][C]0.09[/C][C]110.874566761999[/C][C]3.07112219985606[/C][/ROW]
[ROW][C]0.1[/C][C]111.882730280885[/C][C]3.07337563791779[/C][/ROW]
[ROW][C]0.11[/C][C]112.843952360282[/C][C]3.07770188023721[/C][/ROW]
[ROW][C]0.12[/C][C]113.763657387125[/C][C]3.08112478069998[/C][/ROW]
[ROW][C]0.13[/C][C]114.644866505842[/C][C]3.07115111054264[/C][/ROW]
[ROW][C]0.14[/C][C]115.487474034141[/C][C]3.03216819124753[/C][/ROW]
[ROW][C]0.15[/C][C]116.288401245149[/C][C]2.95276200530112[/C][/ROW]
[ROW][C]0.16[/C][C]117.042657260418[/C][C]2.82972258446717[/C][/ROW]
[ROW][C]0.17[/C][C]117.744926857949[/C][C]2.66874660004879[/C][/ROW]
[ROW][C]0.18[/C][C]118.391147791031[/C][C]2.48134728293601[/C][/ROW]
[ROW][C]0.19[/C][C]118.979651183201[/C][C]2.28270339313256[/C][/ROW]
[ROW][C]0.2[/C][C]119.511687409498[/C][C]2.08787780611451[/C][/ROW]
[ROW][C]0.21[/C][C]119.991393820421[/C][C]1.91071501146001[/C][/ROW]
[ROW][C]0.22[/C][C]120.425392505147[/C][C]1.76267644227446[/C][/ROW]
[ROW][C]0.23[/C][C]120.822226345558[/C][C]1.65280813748083[/C][/ROW]
[ROW][C]0.24[/C][C]121.191786724305[/C][C]1.58847613402391[/C][/ROW]
[ROW][C]0.25[/C][C]121.544804359995[/C][C]1.57516072392852[/C][/ROW]
[ROW][C]0.26[/C][C]121.892403291882[/C][C]1.61682194530048[/C][/ROW]
[ROW][C]0.27[/C][C]122.245677019159[/C][C]1.7140872766801[/C][/ROW]
[ROW][C]0.28[/C][C]122.615239507035[/C][C]1.86441334899223[/C][/ROW]
[ROW][C]0.29[/C][C]123.010725651238[/C][C]2.06159584568347[/C][/ROW]
[ROW][C]0.3[/C][C]123.440253417094[/C][C]2.29595391050522[/C][/ROW]
[ROW][C]0.31[/C][C]123.909899014874[/C][C]2.55439324902026[/C][/ROW]
[ROW][C]0.32[/C][C]124.423264259644[/C][C]2.82207851472665[/C][/ROW]
[ROW][C]0.33[/C][C]124.981222534933[/C][C]3.08342172229565[/C][/ROW]
[ROW][C]0.34[/C][C]125.581912792009[/C][C]3.3230156159636[/C][/ROW]
[ROW][C]0.35[/C][C]126.22101228467[/C][C]3.52902811416944[/C][/ROW]
[ROW][C]0.36[/C][C]126.892266712728[/C][C]3.69221484117655[/C][/ROW]
[ROW][C]0.37[/C][C]127.588203763289[/C][C]3.8086784700637[/C][/ROW]
[ROW][C]0.38[/C][C]128.300916449018[/C][C]3.87946379552893[/C][/ROW]
[ROW][C]0.39[/C][C]129.022787253116[/C][C]3.90948710589554[/C][/ROW]
[ROW][C]0.4[/C][C]129.747038003244[/C][C]3.90619932385282[/C][/ROW]
[ROW][C]0.41[/C][C]130.468030907333[/C][C]3.8775032448888[/C][/ROW]
[ROW][C]0.42[/C][C]131.181303284134[/C][C]3.8310785843298[/C][/ROW]
[ROW][C]0.43[/C][C]131.883377661073[/C][C]3.77146102774702[/C][/ROW]
[ROW][C]0.44[/C][C]132.571435181782[/C][C]3.7005829996751[/C][/ROW]
[ROW][C]0.45[/C][C]133.242962629217[/C][C]3.6176255964731[/C][/ROW]
[ROW][C]0.46[/C][C]133.895477596432[/C][C]3.52012047920485[/C][/ROW]
[ROW][C]0.47[/C][C]134.526405774911[/C][C]3.40519691913035[/C][/ROW]
[ROW][C]0.48[/C][C]135.13313844361[/C][C]3.27217662448261[/C][/ROW]
[ROW][C]0.49[/C][C]135.713249551481[/C][C]3.12181477383147[/C][/ROW]
[ROW][C]0.5[/C][C]136.264812299561[/C][C]2.95767952373949[/C][/ROW]
[ROW][C]0.51[/C][C]136.786733343967[/C][C]2.78617007980253[/C][/ROW]
[ROW][C]0.52[/C][C]137.279021977188[/C][C]2.61485643400633[/C][/ROW]
[ROW][C]0.53[/C][C]137.742929926045[/C][C]2.45215956533681[/C][/ROW]
[ROW][C]0.54[/C][C]138.180928648244[/C][C]2.30646469237863[/C][/ROW]
[ROW][C]0.55[/C][C]138.596526971636[/C][C]2.18392592779881[/C][/ROW]
[ROW][C]0.56[/C][C]138.993964288601[/C][C]2.08828836671283[/C][/ROW]
[ROW][C]0.57[/C][C]139.377836668102[/C][C]2.02103811815067[/C][/ROW]
[ROW][C]0.58[/C][C]139.752721389126[/C][C]1.97988049472429[/C][/ROW]
[ROW][C]0.59[/C][C]140.122859024749[/C][C]1.96111278810103[/C][/ROW]
[ROW][C]0.6[/C][C]140.491933897714[/C][C]1.95997735646471[/C][/ROW]
[ROW][C]0.61[/C][C]140.862968424284[/C][C]1.97121905012419[/C][/ROW]
[ROW][C]0.62[/C][C]141.238320734929[/C][C]1.99101019112793[/C][/ROW]
[ROW][C]0.63[/C][C]141.619754076489[/C][C]2.01641125141442[/C][/ROW]
[ROW][C]0.64[/C][C]142.008535497747[/C][C]2.04521308672207[/C][/ROW]
[ROW][C]0.65[/C][C]142.40552233971[/C][C]2.07629921498168[/C][/ROW]
[ROW][C]0.66[/C][C]142.81120718841[/C][C]2.10825860744384[/C][/ROW]
[ROW][C]0.67[/C][C]143.225711399601[/C][C]2.13920672828438[/C][/ROW]
[ROW][C]0.68[/C][C]143.648738272833[/C][C]2.16753815232551[/C][/ROW]
[ROW][C]0.69[/C][C]144.079513167837[/C][C]2.18978683551045[/C][/ROW]
[ROW][C]0.7[/C][C]144.51674440725[/C][C]2.20313122246941[/C][/ROW]
[ROW][C]0.71[/C][C]144.958633779759[/C][C]2.20425637011753[/C][/ROW]
[ROW][C]0.72[/C][C]145.40295080339[/C][C]2.19113619100191[/C][/ROW]
[ROW][C]0.73[/C][C]145.847166108754[/C][C]2.16272648078177[/C][/ROW]
[ROW][C]0.74[/C][C]146.288623627179[/C][C]2.11920216610824[/C][/ROW]
[ROW][C]0.75[/C][C]146.724725040211[/C][C]2.06205149331894[/C][/ROW]
[ROW][C]0.76[/C][C]147.153105696827[/C][C]1.99297520901697[/C][/ROW]
[ROW][C]0.77[/C][C]147.571795949589[/C][C]1.91482505884729[/C][/ROW]
[ROW][C]0.78[/C][C]147.97937751464[/C][C]1.83036975173025[/C][/ROW]
[ROW][C]0.79[/C][C]148.37515067878[/C][C]1.74253543179689[/C][/ROW]
[ROW][C]0.8[/C][C]148.759316914255[/C][C]1.65515233003072[/C][/ROW]
[ROW][C]0.81[/C][C]149.133151686113[/C][C]1.57274275662814[/C][/ROW]
[ROW][C]0.82[/C][C]149.499102986929[/C][C]1.50090989646474[/C][/ROW]
[ROW][C]0.83[/C][C]149.86072144533[/C][C]1.44485490514744[/C][/ROW]
[ROW][C]0.84[/C][C]150.22233272554[/C][C]1.40847712573515[/C][/ROW]
[ROW][C]0.85[/C][C]150.588425254657[/C][C]1.39216947485401[/C][/ROW]
[ROW][C]0.86[/C][C]150.962856030084[/C][C]1.39132613651715[/C][/ROW]
[ROW][C]0.87[/C][C]151.34816187489[/C][C]1.39648581739544[/C][/ROW]
[ROW][C]0.88[/C][C]151.745467902961[/C][C]1.39617070762973[/C][/ROW]
[ROW][C]0.89[/C][C]152.155668740197[/C][C]1.38213575544443[/C][/ROW]
[ROW][C]0.9[/C][C]152.582704900087[/C][C]1.35595402180753[/C][/ROW]
[ROW][C]0.91[/C][C]153.039875115626[/C][C]1.33723754440519[/C][/ROW]
[ROW][C]0.92[/C][C]153.56014787647[/C][C]1.37455991628534[/C][/ROW]
[ROW][C]0.93[/C][C]154.210992445595[/C][C]1.55627813119662[/C][/ROW]
[ROW][C]0.94[/C][C]155.112443329139[/C][C]2.00417330894445[/C][/ROW]
[ROW][C]0.95[/C][C]156.45221763793[/C][C]2.82535017298946[/C][/ROW]
[ROW][C]0.96[/C][C]158.479575255333[/C][C]4.03418273111025[/C][/ROW]
[ROW][C]0.97[/C][C]161.431363524291[/C][C]5.48441721321643[/C][/ROW]
[ROW][C]0.98[/C][C]165.303504654744[/C][C]6.91614506480704[/C][/ROW]
[ROW][C]0.99[/C][C]169.435663934375[/C][C]8.13931698744211[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207173&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207173&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
0.0197.80462194711575.7157741624117
0.02100.4364204445974.06279850607151
0.03102.8011385042193.13350984070461
0.04104.6697954816252.90820770714437
0.05106.1790151443672.9434108345622
0.06107.4894353697163.00490949356402
0.07108.688924622843.04505734959666
0.08109.8126774824673.06476819305593
0.09110.8745667619993.07112219985606
0.1111.8827302808853.07337563791779
0.11112.8439523602823.07770188023721
0.12113.7636573871253.08112478069998
0.13114.6448665058423.07115111054264
0.14115.4874740341413.03216819124753
0.15116.2884012451492.95276200530112
0.16117.0426572604182.82972258446717
0.17117.7449268579492.66874660004879
0.18118.3911477910312.48134728293601
0.19118.9796511832012.28270339313256
0.2119.5116874094982.08787780611451
0.21119.9913938204211.91071501146001
0.22120.4253925051471.76267644227446
0.23120.8222263455581.65280813748083
0.24121.1917867243051.58847613402391
0.25121.5448043599951.57516072392852
0.26121.8924032918821.61682194530048
0.27122.2456770191591.7140872766801
0.28122.6152395070351.86441334899223
0.29123.0107256512382.06159584568347
0.3123.4402534170942.29595391050522
0.31123.9098990148742.55439324902026
0.32124.4232642596442.82207851472665
0.33124.9812225349333.08342172229565
0.34125.5819127920093.3230156159636
0.35126.221012284673.52902811416944
0.36126.8922667127283.69221484117655
0.37127.5882037632893.8086784700637
0.38128.3009164490183.87946379552893
0.39129.0227872531163.90948710589554
0.4129.7470380032443.90619932385282
0.41130.4680309073333.8775032448888
0.42131.1813032841343.8310785843298
0.43131.8833776610733.77146102774702
0.44132.5714351817823.7005829996751
0.45133.2429626292173.6176255964731
0.46133.8954775964323.52012047920485
0.47134.5264057749113.40519691913035
0.48135.133138443613.27217662448261
0.49135.7132495514813.12181477383147
0.5136.2648122995612.95767952373949
0.51136.7867333439672.78617007980253
0.52137.2790219771882.61485643400633
0.53137.7429299260452.45215956533681
0.54138.1809286482442.30646469237863
0.55138.5965269716362.18392592779881
0.56138.9939642886012.08828836671283
0.57139.3778366681022.02103811815067
0.58139.7527213891261.97988049472429
0.59140.1228590247491.96111278810103
0.6140.4919338977141.95997735646471
0.61140.8629684242841.97121905012419
0.62141.2383207349291.99101019112793
0.63141.6197540764892.01641125141442
0.64142.0085354977472.04521308672207
0.65142.405522339712.07629921498168
0.66142.811207188412.10825860744384
0.67143.2257113996012.13920672828438
0.68143.6487382728332.16753815232551
0.69144.0795131678372.18978683551045
0.7144.516744407252.20313122246941
0.71144.9586337797592.20425637011753
0.72145.402950803392.19113619100191
0.73145.8471661087542.16272648078177
0.74146.2886236271792.11920216610824
0.75146.7247250402112.06205149331894
0.76147.1531056968271.99297520901697
0.77147.5717959495891.91482505884729
0.78147.979377514641.83036975173025
0.79148.375150678781.74253543179689
0.8148.7593169142551.65515233003072
0.81149.1331516861131.57274275662814
0.82149.4991029869291.50090989646474
0.83149.860721445331.44485490514744
0.84150.222332725541.40847712573515
0.85150.5884252546571.39216947485401
0.86150.9628560300841.39132613651715
0.87151.348161874891.39648581739544
0.88151.7454679029611.39617070762973
0.89152.1556687401971.38213575544443
0.9152.5827049000871.35595402180753
0.91153.0398751156261.33723754440519
0.92153.560147876471.37455991628534
0.93154.2109924455951.55627813119662
0.94155.1124433291392.00417330894445
0.95156.452217637932.82535017298946
0.96158.4795752553334.03418273111025
0.97161.4313635242915.48441721321643
0.98165.3035046547446.91614506480704
0.99169.4356639343758.13931698744211


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')