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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 16 Dec 2007 07:06:25 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Dec/16/t1197813017parijbzmnmzogwx.htm/, Retrieved Thu, 02 May 2024 05:36:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4178, Retrieved Thu, 02 May 2024 05:36:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact210

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] [Harell-Davis Quan...] [2007-12-16 14:06:25] [014bfc073eb4f6c1ae65a07cc44c50c0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
101,5
126,6
93,9
89,8
93,4
101,5
110,4
105,9
108,4
113,9
86,1
69,4
101,2
100,5
98
106,6
90,1
96,9
125,9
112
100
123,9
79,8
83,4
113,6
112,9
104
109,9
99
106,3
128,9
111,1
102,9
130
87
87,5
117,6
103,4
110,8
112,6
102,5
112,4
135,6
105,1
127,7
137
91
90,5
122,4
123,3
124,3
120
118,1
119
142,7
123,6
129,6
146,9
108,7
99,4

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4178&T=0

[TABLE]
[ROW][C]Summary of compuational 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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4178&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4178&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0171.73164308268928.85635606517543
0.0275.04701633343637.03724772998122
0.0378.3216459013895.42580866793982
0.0481.02861827326834.26065590493972
0.0583.0935061856983.47694231960102
0.0684.64453270932752.95159422029374
0.0785.83999356305272.60655501849189
0.0886.80462426735212.39870275997057
0.0987.6236068570412.29543019016582
0.188.35311175456042.26997365476833
0.1189.03072764785232.30459931871704
0.1289.68241461018052.39025328028828
0.1390.326544007312.52014696956254
0.1490.97597007177582.68383937105801
0.1591.63886797489072.86491782243303
0.1692.31895730608243.04264023103396
0.1793.01563673671413.19580525578895
0.1893.72438980045763.30623640680050
0.1994.4376023803163.36170154497443
0.295.14573113748933.35709795340516
0.2195.83863503916743.29410309675471
0.2296.50684545559183.18054186520012
0.2397.14258667019333.0282250546354
0.2497.74043535034712.85162104831598
0.2598.29759231281682.66508689972256
0.2698.81380984997832.48204886466326
0.2799.291061637082.31335595177433
0.2899.7330583913082.16740127146478
0.29100.1447061162562.04940011782229
0.3100.5315831373011.96164294700760
0.31100.8994856825361.90433431844398
0.32101.2540663492781.8760385086491
0.33101.6005697420481.87362042927839
0.34101.9436565723071.89368460450302
0.35102.2873011622331.93198898565373
0.36102.6347459126241.98445179508963
0.37102.9884977963362.04690672568682
0.38103.3503545206922.11548198822046
0.39103.7214505144672.18684560628580
0.4104.1023148989852.25778855659959
0.41104.4929351996762.32538513273260
0.42104.8928220962312.38754946165617
0.43105.3010723157752.44211637838375
0.44105.7164289362142.48726131991556
0.45106.1373406871452.5214159658877
0.46106.5620238872442.54354308065825
0.47106.9885319358812.55227999971288
0.48107.4148373772262.54742019354820
0.49107.838930309322.52906330447764
0.5108.2589344469862.49791670189034
0.51108.6732388532352.45581339301243
0.52109.0806397615022.40531469108542
0.53109.4804835558212.35015162815168
0.54109.8727992803942.29475288301488
0.55110.2584072785912.24443037400732
0.56110.6389898573232.20489298687411
0.57111.0171103467122.18214352058585
0.58111.3961687396712.18172185315006
0.59111.7802854829992.20851100297596
0.6112.1741101628862.26525421672894
0.61112.5825587953992.35321009251633
0.62113.0104918039022.47044113212034
0.63113.4623536183252.61266891568623
0.64113.9418027662892.77314096182942
0.65114.4513667369612.94301878664716
0.66114.9921574090543.11243102801830
0.67115.5636797580413.27095307457732
0.68116.1637591854653.40861290583654
0.69116.7886023708903.51654354783060
0.7117.4329947785863.58767583927398
0.71118.0906264629093.61729899539219
0.72118.7545274644753.60332885761613
0.73119.4175847392103.54656288323099
0.74120.0731034420683.45065886180707
0.75120.7153659886203.32221696562789
0.76121.3401334989883.17030998857224
0.77121.9450289494033.00587615756745
0.78122.5297445064912.84123314652174
0.79123.0960325886102.68824075010233
0.8123.6474750007692.55721115118293
0.81124.1890765333852.45491095417518
0.82124.7267916341212.38364172936105
0.83125.2671501650102.34157201586229
0.84125.8171780238712.32430355879465
0.85126.3847826108322.32836589422247
0.86126.979666647882.35469657802287
0.87127.6146407987172.41174014056983
0.88128.3069635220172.51636514705384
0.89129.0791468253002.68923812783681
0.9129.9586797898982.94460449307468
0.91130.9764542962913.27761711280412
0.92132.1642561387963.65971712695791
0.93133.5521004677194.04685520426987
0.94135.1657021962594.39657377633574
0.95137.0221470413854.67625535403351
0.96139.1175046633434.84537178031625
0.97141.3955372783214.83550323696928
0.98143.6907460383084.60952415394321
0.99145.6730847040584.29971081981643

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 71.7316430826892 & 8.85635606517543 \tabularnewline
0.02 & 75.0470163334363 & 7.03724772998122 \tabularnewline
0.03 & 78.321645901389 & 5.42580866793982 \tabularnewline
0.04 & 81.0286182732683 & 4.26065590493972 \tabularnewline
0.05 & 83.093506185698 & 3.47694231960102 \tabularnewline
0.06 & 84.6445327093275 & 2.95159422029374 \tabularnewline
0.07 & 85.8399935630527 & 2.60655501849189 \tabularnewline
0.08 & 86.8046242673521 & 2.39870275997057 \tabularnewline
0.09 & 87.623606857041 & 2.29543019016582 \tabularnewline
0.1 & 88.3531117545604 & 2.26997365476833 \tabularnewline
0.11 & 89.0307276478523 & 2.30459931871704 \tabularnewline
0.12 & 89.6824146101805 & 2.39025328028828 \tabularnewline
0.13 & 90.32654400731 & 2.52014696956254 \tabularnewline
0.14 & 90.9759700717758 & 2.68383937105801 \tabularnewline
0.15 & 91.6388679748907 & 2.86491782243303 \tabularnewline
0.16 & 92.3189573060824 & 3.04264023103396 \tabularnewline
0.17 & 93.0156367367141 & 3.19580525578895 \tabularnewline
0.18 & 93.7243898004576 & 3.30623640680050 \tabularnewline
0.19 & 94.437602380316 & 3.36170154497443 \tabularnewline
0.2 & 95.1457311374893 & 3.35709795340516 \tabularnewline
0.21 & 95.8386350391674 & 3.29410309675471 \tabularnewline
0.22 & 96.5068454555918 & 3.18054186520012 \tabularnewline
0.23 & 97.1425866701933 & 3.0282250546354 \tabularnewline
0.24 & 97.7404353503471 & 2.85162104831598 \tabularnewline
0.25 & 98.2975923128168 & 2.66508689972256 \tabularnewline
0.26 & 98.8138098499783 & 2.48204886466326 \tabularnewline
0.27 & 99.29106163708 & 2.31335595177433 \tabularnewline
0.28 & 99.733058391308 & 2.16740127146478 \tabularnewline
0.29 & 100.144706116256 & 2.04940011782229 \tabularnewline
0.3 & 100.531583137301 & 1.96164294700760 \tabularnewline
0.31 & 100.899485682536 & 1.90433431844398 \tabularnewline
0.32 & 101.254066349278 & 1.8760385086491 \tabularnewline
0.33 & 101.600569742048 & 1.87362042927839 \tabularnewline
0.34 & 101.943656572307 & 1.89368460450302 \tabularnewline
0.35 & 102.287301162233 & 1.93198898565373 \tabularnewline
0.36 & 102.634745912624 & 1.98445179508963 \tabularnewline
0.37 & 102.988497796336 & 2.04690672568682 \tabularnewline
0.38 & 103.350354520692 & 2.11548198822046 \tabularnewline
0.39 & 103.721450514467 & 2.18684560628580 \tabularnewline
0.4 & 104.102314898985 & 2.25778855659959 \tabularnewline
0.41 & 104.492935199676 & 2.32538513273260 \tabularnewline
0.42 & 104.892822096231 & 2.38754946165617 \tabularnewline
0.43 & 105.301072315775 & 2.44211637838375 \tabularnewline
0.44 & 105.716428936214 & 2.48726131991556 \tabularnewline
0.45 & 106.137340687145 & 2.5214159658877 \tabularnewline
0.46 & 106.562023887244 & 2.54354308065825 \tabularnewline
0.47 & 106.988531935881 & 2.55227999971288 \tabularnewline
0.48 & 107.414837377226 & 2.54742019354820 \tabularnewline
0.49 & 107.83893030932 & 2.52906330447764 \tabularnewline
0.5 & 108.258934446986 & 2.49791670189034 \tabularnewline
0.51 & 108.673238853235 & 2.45581339301243 \tabularnewline
0.52 & 109.080639761502 & 2.40531469108542 \tabularnewline
0.53 & 109.480483555821 & 2.35015162815168 \tabularnewline
0.54 & 109.872799280394 & 2.29475288301488 \tabularnewline
0.55 & 110.258407278591 & 2.24443037400732 \tabularnewline
0.56 & 110.638989857323 & 2.20489298687411 \tabularnewline
0.57 & 111.017110346712 & 2.18214352058585 \tabularnewline
0.58 & 111.396168739671 & 2.18172185315006 \tabularnewline
0.59 & 111.780285482999 & 2.20851100297596 \tabularnewline
0.6 & 112.174110162886 & 2.26525421672894 \tabularnewline
0.61 & 112.582558795399 & 2.35321009251633 \tabularnewline
0.62 & 113.010491803902 & 2.47044113212034 \tabularnewline
0.63 & 113.462353618325 & 2.61266891568623 \tabularnewline
0.64 & 113.941802766289 & 2.77314096182942 \tabularnewline
0.65 & 114.451366736961 & 2.94301878664716 \tabularnewline
0.66 & 114.992157409054 & 3.11243102801830 \tabularnewline
0.67 & 115.563679758041 & 3.27095307457732 \tabularnewline
0.68 & 116.163759185465 & 3.40861290583654 \tabularnewline
0.69 & 116.788602370890 & 3.51654354783060 \tabularnewline
0.7 & 117.432994778586 & 3.58767583927398 \tabularnewline
0.71 & 118.090626462909 & 3.61729899539219 \tabularnewline
0.72 & 118.754527464475 & 3.60332885761613 \tabularnewline
0.73 & 119.417584739210 & 3.54656288323099 \tabularnewline
0.74 & 120.073103442068 & 3.45065886180707 \tabularnewline
0.75 & 120.715365988620 & 3.32221696562789 \tabularnewline
0.76 & 121.340133498988 & 3.17030998857224 \tabularnewline
0.77 & 121.945028949403 & 3.00587615756745 \tabularnewline
0.78 & 122.529744506491 & 2.84123314652174 \tabularnewline
0.79 & 123.096032588610 & 2.68824075010233 \tabularnewline
0.8 & 123.647475000769 & 2.55721115118293 \tabularnewline
0.81 & 124.189076533385 & 2.45491095417518 \tabularnewline
0.82 & 124.726791634121 & 2.38364172936105 \tabularnewline
0.83 & 125.267150165010 & 2.34157201586229 \tabularnewline
0.84 & 125.817178023871 & 2.32430355879465 \tabularnewline
0.85 & 126.384782610832 & 2.32836589422247 \tabularnewline
0.86 & 126.97966664788 & 2.35469657802287 \tabularnewline
0.87 & 127.614640798717 & 2.41174014056983 \tabularnewline
0.88 & 128.306963522017 & 2.51636514705384 \tabularnewline
0.89 & 129.079146825300 & 2.68923812783681 \tabularnewline
0.9 & 129.958679789898 & 2.94460449307468 \tabularnewline
0.91 & 130.976454296291 & 3.27761711280412 \tabularnewline
0.92 & 132.164256138796 & 3.65971712695791 \tabularnewline
0.93 & 133.552100467719 & 4.04685520426987 \tabularnewline
0.94 & 135.165702196259 & 4.39657377633574 \tabularnewline
0.95 & 137.022147041385 & 4.67625535403351 \tabularnewline
0.96 & 139.117504663343 & 4.84537178031625 \tabularnewline
0.97 & 141.395537278321 & 4.83550323696928 \tabularnewline
0.98 & 143.690746038308 & 4.60952415394321 \tabularnewline
0.99 & 145.673084704058 & 4.29971081981643 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4178&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]71.7316430826892[/C][C]8.85635606517543[/C][/ROW]
[ROW][C]0.02[/C][C]75.0470163334363[/C][C]7.03724772998122[/C][/ROW]
[ROW][C]0.03[/C][C]78.321645901389[/C][C]5.42580866793982[/C][/ROW]
[ROW][C]0.04[/C][C]81.0286182732683[/C][C]4.26065590493972[/C][/ROW]
[ROW][C]0.05[/C][C]83.093506185698[/C][C]3.47694231960102[/C][/ROW]
[ROW][C]0.06[/C][C]84.6445327093275[/C][C]2.95159422029374[/C][/ROW]
[ROW][C]0.07[/C][C]85.8399935630527[/C][C]2.60655501849189[/C][/ROW]
[ROW][C]0.08[/C][C]86.8046242673521[/C][C]2.39870275997057[/C][/ROW]
[ROW][C]0.09[/C][C]87.623606857041[/C][C]2.29543019016582[/C][/ROW]
[ROW][C]0.1[/C][C]88.3531117545604[/C][C]2.26997365476833[/C][/ROW]
[ROW][C]0.11[/C][C]89.0307276478523[/C][C]2.30459931871704[/C][/ROW]
[ROW][C]0.12[/C][C]89.6824146101805[/C][C]2.39025328028828[/C][/ROW]
[ROW][C]0.13[/C][C]90.32654400731[/C][C]2.52014696956254[/C][/ROW]
[ROW][C]0.14[/C][C]90.9759700717758[/C][C]2.68383937105801[/C][/ROW]
[ROW][C]0.15[/C][C]91.6388679748907[/C][C]2.86491782243303[/C][/ROW]
[ROW][C]0.16[/C][C]92.3189573060824[/C][C]3.04264023103396[/C][/ROW]
[ROW][C]0.17[/C][C]93.0156367367141[/C][C]3.19580525578895[/C][/ROW]
[ROW][C]0.18[/C][C]93.7243898004576[/C][C]3.30623640680050[/C][/ROW]
[ROW][C]0.19[/C][C]94.437602380316[/C][C]3.36170154497443[/C][/ROW]
[ROW][C]0.2[/C][C]95.1457311374893[/C][C]3.35709795340516[/C][/ROW]
[ROW][C]0.21[/C][C]95.8386350391674[/C][C]3.29410309675471[/C][/ROW]
[ROW][C]0.22[/C][C]96.5068454555918[/C][C]3.18054186520012[/C][/ROW]
[ROW][C]0.23[/C][C]97.1425866701933[/C][C]3.0282250546354[/C][/ROW]
[ROW][C]0.24[/C][C]97.7404353503471[/C][C]2.85162104831598[/C][/ROW]
[ROW][C]0.25[/C][C]98.2975923128168[/C][C]2.66508689972256[/C][/ROW]
[ROW][C]0.26[/C][C]98.8138098499783[/C][C]2.48204886466326[/C][/ROW]
[ROW][C]0.27[/C][C]99.29106163708[/C][C]2.31335595177433[/C][/ROW]
[ROW][C]0.28[/C][C]99.733058391308[/C][C]2.16740127146478[/C][/ROW]
[ROW][C]0.29[/C][C]100.144706116256[/C][C]2.04940011782229[/C][/ROW]
[ROW][C]0.3[/C][C]100.531583137301[/C][C]1.96164294700760[/C][/ROW]
[ROW][C]0.31[/C][C]100.899485682536[/C][C]1.90433431844398[/C][/ROW]
[ROW][C]0.32[/C][C]101.254066349278[/C][C]1.8760385086491[/C][/ROW]
[ROW][C]0.33[/C][C]101.600569742048[/C][C]1.87362042927839[/C][/ROW]
[ROW][C]0.34[/C][C]101.943656572307[/C][C]1.89368460450302[/C][/ROW]
[ROW][C]0.35[/C][C]102.287301162233[/C][C]1.93198898565373[/C][/ROW]
[ROW][C]0.36[/C][C]102.634745912624[/C][C]1.98445179508963[/C][/ROW]
[ROW][C]0.37[/C][C]102.988497796336[/C][C]2.04690672568682[/C][/ROW]
[ROW][C]0.38[/C][C]103.350354520692[/C][C]2.11548198822046[/C][/ROW]
[ROW][C]0.39[/C][C]103.721450514467[/C][C]2.18684560628580[/C][/ROW]
[ROW][C]0.4[/C][C]104.102314898985[/C][C]2.25778855659959[/C][/ROW]
[ROW][C]0.41[/C][C]104.492935199676[/C][C]2.32538513273260[/C][/ROW]
[ROW][C]0.42[/C][C]104.892822096231[/C][C]2.38754946165617[/C][/ROW]
[ROW][C]0.43[/C][C]105.301072315775[/C][C]2.44211637838375[/C][/ROW]
[ROW][C]0.44[/C][C]105.716428936214[/C][C]2.48726131991556[/C][/ROW]
[ROW][C]0.45[/C][C]106.137340687145[/C][C]2.5214159658877[/C][/ROW]
[ROW][C]0.46[/C][C]106.562023887244[/C][C]2.54354308065825[/C][/ROW]
[ROW][C]0.47[/C][C]106.988531935881[/C][C]2.55227999971288[/C][/ROW]
[ROW][C]0.48[/C][C]107.414837377226[/C][C]2.54742019354820[/C][/ROW]
[ROW][C]0.49[/C][C]107.83893030932[/C][C]2.52906330447764[/C][/ROW]
[ROW][C]0.5[/C][C]108.258934446986[/C][C]2.49791670189034[/C][/ROW]
[ROW][C]0.51[/C][C]108.673238853235[/C][C]2.45581339301243[/C][/ROW]
[ROW][C]0.52[/C][C]109.080639761502[/C][C]2.40531469108542[/C][/ROW]
[ROW][C]0.53[/C][C]109.480483555821[/C][C]2.35015162815168[/C][/ROW]
[ROW][C]0.54[/C][C]109.872799280394[/C][C]2.29475288301488[/C][/ROW]
[ROW][C]0.55[/C][C]110.258407278591[/C][C]2.24443037400732[/C][/ROW]
[ROW][C]0.56[/C][C]110.638989857323[/C][C]2.20489298687411[/C][/ROW]
[ROW][C]0.57[/C][C]111.017110346712[/C][C]2.18214352058585[/C][/ROW]
[ROW][C]0.58[/C][C]111.396168739671[/C][C]2.18172185315006[/C][/ROW]
[ROW][C]0.59[/C][C]111.780285482999[/C][C]2.20851100297596[/C][/ROW]
[ROW][C]0.6[/C][C]112.174110162886[/C][C]2.26525421672894[/C][/ROW]
[ROW][C]0.61[/C][C]112.582558795399[/C][C]2.35321009251633[/C][/ROW]
[ROW][C]0.62[/C][C]113.010491803902[/C][C]2.47044113212034[/C][/ROW]
[ROW][C]0.63[/C][C]113.462353618325[/C][C]2.61266891568623[/C][/ROW]
[ROW][C]0.64[/C][C]113.941802766289[/C][C]2.77314096182942[/C][/ROW]
[ROW][C]0.65[/C][C]114.451366736961[/C][C]2.94301878664716[/C][/ROW]
[ROW][C]0.66[/C][C]114.992157409054[/C][C]3.11243102801830[/C][/ROW]
[ROW][C]0.67[/C][C]115.563679758041[/C][C]3.27095307457732[/C][/ROW]
[ROW][C]0.68[/C][C]116.163759185465[/C][C]3.40861290583654[/C][/ROW]
[ROW][C]0.69[/C][C]116.788602370890[/C][C]3.51654354783060[/C][/ROW]
[ROW][C]0.7[/C][C]117.432994778586[/C][C]3.58767583927398[/C][/ROW]
[ROW][C]0.71[/C][C]118.090626462909[/C][C]3.61729899539219[/C][/ROW]
[ROW][C]0.72[/C][C]118.754527464475[/C][C]3.60332885761613[/C][/ROW]
[ROW][C]0.73[/C][C]119.417584739210[/C][C]3.54656288323099[/C][/ROW]
[ROW][C]0.74[/C][C]120.073103442068[/C][C]3.45065886180707[/C][/ROW]
[ROW][C]0.75[/C][C]120.715365988620[/C][C]3.32221696562789[/C][/ROW]
[ROW][C]0.76[/C][C]121.340133498988[/C][C]3.17030998857224[/C][/ROW]
[ROW][C]0.77[/C][C]121.945028949403[/C][C]3.00587615756745[/C][/ROW]
[ROW][C]0.78[/C][C]122.529744506491[/C][C]2.84123314652174[/C][/ROW]
[ROW][C]0.79[/C][C]123.096032588610[/C][C]2.68824075010233[/C][/ROW]
[ROW][C]0.8[/C][C]123.647475000769[/C][C]2.55721115118293[/C][/ROW]
[ROW][C]0.81[/C][C]124.189076533385[/C][C]2.45491095417518[/C][/ROW]
[ROW][C]0.82[/C][C]124.726791634121[/C][C]2.38364172936105[/C][/ROW]
[ROW][C]0.83[/C][C]125.267150165010[/C][C]2.34157201586229[/C][/ROW]
[ROW][C]0.84[/C][C]125.817178023871[/C][C]2.32430355879465[/C][/ROW]
[ROW][C]0.85[/C][C]126.384782610832[/C][C]2.32836589422247[/C][/ROW]
[ROW][C]0.86[/C][C]126.97966664788[/C][C]2.35469657802287[/C][/ROW]
[ROW][C]0.87[/C][C]127.614640798717[/C][C]2.41174014056983[/C][/ROW]
[ROW][C]0.88[/C][C]128.306963522017[/C][C]2.51636514705384[/C][/ROW]
[ROW][C]0.89[/C][C]129.079146825300[/C][C]2.68923812783681[/C][/ROW]
[ROW][C]0.9[/C][C]129.958679789898[/C][C]2.94460449307468[/C][/ROW]
[ROW][C]0.91[/C][C]130.976454296291[/C][C]3.27761711280412[/C][/ROW]
[ROW][C]0.92[/C][C]132.164256138796[/C][C]3.65971712695791[/C][/ROW]
[ROW][C]0.93[/C][C]133.552100467719[/C][C]4.04685520426987[/C][/ROW]
[ROW][C]0.94[/C][C]135.165702196259[/C][C]4.39657377633574[/C][/ROW]
[ROW][C]0.95[/C][C]137.022147041385[/C][C]4.67625535403351[/C][/ROW]
[ROW][C]0.96[/C][C]139.117504663343[/C][C]4.84537178031625[/C][/ROW]
[ROW][C]0.97[/C][C]141.395537278321[/C][C]4.83550323696928[/C][/ROW]
[ROW][C]0.98[/C][C]143.690746038308[/C][C]4.60952415394321[/C][/ROW]
[ROW][C]0.99[/C][C]145.673084704058[/C][C]4.29971081981643[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4178&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4178&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
0.0171.73164308268928.85635606517543
0.0275.04701633343637.03724772998122
0.0378.3216459013895.42580866793982
0.0481.02861827326834.26065590493972
0.0583.0935061856983.47694231960102
0.0684.64453270932752.95159422029374
0.0785.83999356305272.60655501849189
0.0886.80462426735212.39870275997057
0.0987.6236068570412.29543019016582
0.188.35311175456042.26997365476833
0.1189.03072764785232.30459931871704
0.1289.68241461018052.39025328028828
0.1390.326544007312.52014696956254
0.1490.97597007177582.68383937105801
0.1591.63886797489072.86491782243303
0.1692.31895730608243.04264023103396
0.1793.01563673671413.19580525578895
0.1893.72438980045763.30623640680050
0.1994.4376023803163.36170154497443
0.295.14573113748933.35709795340516
0.2195.83863503916743.29410309675471
0.2296.50684545559183.18054186520012
0.2397.14258667019333.0282250546354
0.2497.74043535034712.85162104831598
0.2598.29759231281682.66508689972256
0.2698.81380984997832.48204886466326
0.2799.291061637082.31335595177433
0.2899.7330583913082.16740127146478
0.29100.1447061162562.04940011782229
0.3100.5315831373011.96164294700760
0.31100.8994856825361.90433431844398
0.32101.2540663492781.8760385086491
0.33101.6005697420481.87362042927839
0.34101.9436565723071.89368460450302
0.35102.2873011622331.93198898565373
0.36102.6347459126241.98445179508963
0.37102.9884977963362.04690672568682
0.38103.3503545206922.11548198822046
0.39103.7214505144672.18684560628580
0.4104.1023148989852.25778855659959
0.41104.4929351996762.32538513273260
0.42104.8928220962312.38754946165617
0.43105.3010723157752.44211637838375
0.44105.7164289362142.48726131991556
0.45106.1373406871452.5214159658877
0.46106.5620238872442.54354308065825
0.47106.9885319358812.55227999971288
0.48107.4148373772262.54742019354820
0.49107.838930309322.52906330447764
0.5108.2589344469862.49791670189034
0.51108.6732388532352.45581339301243
0.52109.0806397615022.40531469108542
0.53109.4804835558212.35015162815168
0.54109.8727992803942.29475288301488
0.55110.2584072785912.24443037400732
0.56110.6389898573232.20489298687411
0.57111.0171103467122.18214352058585
0.58111.3961687396712.18172185315006
0.59111.7802854829992.20851100297596
0.6112.1741101628862.26525421672894
0.61112.5825587953992.35321009251633
0.62113.0104918039022.47044113212034
0.63113.4623536183252.61266891568623
0.64113.9418027662892.77314096182942
0.65114.4513667369612.94301878664716
0.66114.9921574090543.11243102801830
0.67115.5636797580413.27095307457732
0.68116.1637591854653.40861290583654
0.69116.7886023708903.51654354783060
0.7117.4329947785863.58767583927398
0.71118.0906264629093.61729899539219
0.72118.7545274644753.60332885761613
0.73119.4175847392103.54656288323099
0.74120.0731034420683.45065886180707
0.75120.7153659886203.32221696562789
0.76121.3401334989883.17030998857224
0.77121.9450289494033.00587615756745
0.78122.5297445064912.84123314652174
0.79123.0960325886102.68824075010233
0.8123.6474750007692.55721115118293
0.81124.1890765333852.45491095417518
0.82124.7267916341212.38364172936105
0.83125.2671501650102.34157201586229
0.84125.8171780238712.32430355879465
0.85126.3847826108322.32836589422247
0.86126.979666647882.35469657802287
0.87127.6146407987172.41174014056983
0.88128.3069635220172.51636514705384
0.89129.0791468253002.68923812783681
0.9129.9586797898982.94460449307468
0.91130.9764542962913.27761711280412
0.92132.1642561387963.65971712695791
0.93133.5521004677194.04685520426987
0.94135.1657021962594.39657377633574
0.95137.0221470413854.67625535403351
0.96139.1175046633434.84537178031625
0.97141.3955372783214.83550323696928
0.98143.6907460383084.60952415394321
0.99145.6730847040584.29971081981643


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')