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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 20 Feb 2012 14:54:48 -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/2012/Feb/20/t1329767816ioy2t0kyfv24kpp.htm/, Retrieved Sat, 04 May 2024 22:14:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=162887, Retrieved Sat, 04 May 2024 22:14:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact237

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Niet-werkende wer...] [2012-02-09 14:39:30] [72f83af8b2d235eee2a77209b5e4ee2e]
- RMP     [Harrell-Davis Quantiles] [Percentielen Niet...] [2012-02-20 19:54:48] [63e5472dd76b3a4c96d1871cde01ebd5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
125326
122716
116615
113719
110737
112093
143565
149946
149147
134339
122683
115614
116566
111272
104609
101802
94542
93051
124129
130374
123946
114971
105531
104919
104782
101281
94545
93248
84031
87486
115867
120327
117008
108811
104519
106758
109337
109078
108293
106534
99197
103493
130676
137448
134704
123725
118277
121225
120528
118240
112514
107304
100001
102082
130455
135574
132540
119920
112454
109415
109843
106365
102304
97968
92462
92286
120092
126656
124144
114045
108120
105698

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'AstonUniversity' @ aston.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 & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162887&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162887&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162887&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'AstonUniversity' @ aston.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0185279.983848543479.42837412822
0.0287184.80691669883425.10298082899
0.0389093.25616170893007.42310197455
0.0490659.59679954792379.99980255187
0.0591838.72082352811873.00808542308
0.0692734.30983001241689.91000244264
0.0793480.95541151491811.30065035573
0.0894185.6319563992094.89927979669
0.0994910.76592376282415.96087479883
0.195678.82622187372692.80852853587
0.1196484.5711517422878.44155818786
0.1297307.6939061612954.14835596529
0.1398123.04901416462925.52057830004
0.1498907.73453736162815.28735094309
0.1599645.08125635262654.30757296372
0.16100325.9649962022472.7964344841
0.17100948.1318161582294.70664118769
0.18101514.3792590932134.65556627228
0.19102030.4028773271997.81928502513
0.2102502.9156798881882.56416222828
0.21102938.3666491351784.28985753391
0.22103342.3185527711698.10141463012
0.23103719.3579412621620.80830844158
0.24104073.3222239861551.9885991067
0.25104407.6278061492.88596558205
0.26104725.5393524551445.9971072738
0.27105030.2991600961412.79611563614
0.28105325.1088867191394.20697909835
0.29105613.0060563351389.23547142505
0.3105896.6993665851395.3554465499
0.31106178.4239501981410.00862282686
0.32106459.8595614891429.54132303871
0.33106742.1309673291451.37675168966
0.34107025.8879807241472.96273065823
0.35107311.4464658021493.39515141366
0.36107598.9622550161512.72288430276
0.37107888.6066619731531.52441379522
0.38108180.7141313441551.99105057838
0.39108475.8786242341575.90909957128
0.4108774.9846885651605.76855264743
0.41109079.17056951643.13346685111
0.42109389.732394891688.32337500769
0.43109707.9882794741741.33402161068
0.44110035.1271421611800.33273871682
0.45110372.0679359691862.9895904859
0.46110719.3509128641926.61147265241
0.47111077.074833521988.31391858328
0.48111444.8848929492045.34773656927
0.49111822.0079022682095.58677279075
0.5112207.3256470242137.45914527767
0.51112599.4749059462170.03849692294
0.52112996.9627575832192.8807122959
0.53113398.287159062206.19316699645
0.54113802.0539143032210.90618312101
0.55114207.0812408672208.35939860719
0.56114612.4823892892200.65924175087
0.57115017.7162952972189.83341930598
0.58115422.597578792178.17918912195
0.59115827.2614730222167.86476595482
0.6116232.0864809352160.20502792011
0.61116637.5862779192155.65661277806
0.62117044.2900159422153.75969422293
0.63117452.633849642153.45616232172
0.64117862.884225732152.95437206498
0.65118275.1052597222150.70015364583
0.66118689.1708170452145.33196925347
0.67119104.8111181072136.41560503782
0.68119521.6786756362123.91585183422
0.69119939.4224241412108.0332838339
0.7120357.7717194942089.82716260752
0.71120776.6486017092069.62612684713
0.72121196.3385632522048.94809533806
0.73121617.747013692029.67504860899
0.74122042.7435197082015.77555047145
0.75122474.5489840042013.63654836277
0.76122918.0631029752032.09879326236
0.77123379.9822218472081.30330500771
0.78123868.5483897192169.79892965084
0.79124392.8221777942301.2051970073
0.8124961.4906503842470.64185237227
0.81125581.3853676442663.84875384205
0.82126256.0407420972859.16798342332
0.83126984.701923823031.7370297495
0.84127762.1415044763158.95299719134
0.85128579.4696744523225.74094099038
0.86129425.9065113043227.83685111501
0.87130291.3681297113172.33686938863
0.88131169.8120049233076.67004519859
0.89132063.5440770752967.45076817127
0.9132988.7997430272883.51991759347
0.91133982.3149394182883.72749692833
0.92135106.7393346843048.73394967279
0.93136449.5569333173452.92489220439
0.94138106.8937756944097.62006418888
0.95140143.5620466594842.77580489039
0.96142529.5197206375377.34784056407
0.97145075.3675745565266.00113809573
0.98147419.8286435564163.71299912517
0.99149132.5922856942271.47445372769

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 85279.98384854 & 3479.42837412822 \tabularnewline
0.02 & 87184.8069166988 & 3425.10298082899 \tabularnewline
0.03 & 89093.2561617089 & 3007.42310197455 \tabularnewline
0.04 & 90659.5967995479 & 2379.99980255187 \tabularnewline
0.05 & 91838.7208235281 & 1873.00808542308 \tabularnewline
0.06 & 92734.3098300124 & 1689.91000244264 \tabularnewline
0.07 & 93480.9554115149 & 1811.30065035573 \tabularnewline
0.08 & 94185.631956399 & 2094.89927979669 \tabularnewline
0.09 & 94910.7659237628 & 2415.96087479883 \tabularnewline
0.1 & 95678.8262218737 & 2692.80852853587 \tabularnewline
0.11 & 96484.571151742 & 2878.44155818786 \tabularnewline
0.12 & 97307.693906161 & 2954.14835596529 \tabularnewline
0.13 & 98123.0490141646 & 2925.52057830004 \tabularnewline
0.14 & 98907.7345373616 & 2815.28735094309 \tabularnewline
0.15 & 99645.0812563526 & 2654.30757296372 \tabularnewline
0.16 & 100325.964996202 & 2472.7964344841 \tabularnewline
0.17 & 100948.131816158 & 2294.70664118769 \tabularnewline
0.18 & 101514.379259093 & 2134.65556627228 \tabularnewline
0.19 & 102030.402877327 & 1997.81928502513 \tabularnewline
0.2 & 102502.915679888 & 1882.56416222828 \tabularnewline
0.21 & 102938.366649135 & 1784.28985753391 \tabularnewline
0.22 & 103342.318552771 & 1698.10141463012 \tabularnewline
0.23 & 103719.357941262 & 1620.80830844158 \tabularnewline
0.24 & 104073.322223986 & 1551.9885991067 \tabularnewline
0.25 & 104407.627806 & 1492.88596558205 \tabularnewline
0.26 & 104725.539352455 & 1445.9971072738 \tabularnewline
0.27 & 105030.299160096 & 1412.79611563614 \tabularnewline
0.28 & 105325.108886719 & 1394.20697909835 \tabularnewline
0.29 & 105613.006056335 & 1389.23547142505 \tabularnewline
0.3 & 105896.699366585 & 1395.3554465499 \tabularnewline
0.31 & 106178.423950198 & 1410.00862282686 \tabularnewline
0.32 & 106459.859561489 & 1429.54132303871 \tabularnewline
0.33 & 106742.130967329 & 1451.37675168966 \tabularnewline
0.34 & 107025.887980724 & 1472.96273065823 \tabularnewline
0.35 & 107311.446465802 & 1493.39515141366 \tabularnewline
0.36 & 107598.962255016 & 1512.72288430276 \tabularnewline
0.37 & 107888.606661973 & 1531.52441379522 \tabularnewline
0.38 & 108180.714131344 & 1551.99105057838 \tabularnewline
0.39 & 108475.878624234 & 1575.90909957128 \tabularnewline
0.4 & 108774.984688565 & 1605.76855264743 \tabularnewline
0.41 & 109079.1705695 & 1643.13346685111 \tabularnewline
0.42 & 109389.73239489 & 1688.32337500769 \tabularnewline
0.43 & 109707.988279474 & 1741.33402161068 \tabularnewline
0.44 & 110035.127142161 & 1800.33273871682 \tabularnewline
0.45 & 110372.067935969 & 1862.9895904859 \tabularnewline
0.46 & 110719.350912864 & 1926.61147265241 \tabularnewline
0.47 & 111077.07483352 & 1988.31391858328 \tabularnewline
0.48 & 111444.884892949 & 2045.34773656927 \tabularnewline
0.49 & 111822.007902268 & 2095.58677279075 \tabularnewline
0.5 & 112207.325647024 & 2137.45914527767 \tabularnewline
0.51 & 112599.474905946 & 2170.03849692294 \tabularnewline
0.52 & 112996.962757583 & 2192.8807122959 \tabularnewline
0.53 & 113398.28715906 & 2206.19316699645 \tabularnewline
0.54 & 113802.053914303 & 2210.90618312101 \tabularnewline
0.55 & 114207.081240867 & 2208.35939860719 \tabularnewline
0.56 & 114612.482389289 & 2200.65924175087 \tabularnewline
0.57 & 115017.716295297 & 2189.83341930598 \tabularnewline
0.58 & 115422.59757879 & 2178.17918912195 \tabularnewline
0.59 & 115827.261473022 & 2167.86476595482 \tabularnewline
0.6 & 116232.086480935 & 2160.20502792011 \tabularnewline
0.61 & 116637.586277919 & 2155.65661277806 \tabularnewline
0.62 & 117044.290015942 & 2153.75969422293 \tabularnewline
0.63 & 117452.63384964 & 2153.45616232172 \tabularnewline
0.64 & 117862.88422573 & 2152.95437206498 \tabularnewline
0.65 & 118275.105259722 & 2150.70015364583 \tabularnewline
0.66 & 118689.170817045 & 2145.33196925347 \tabularnewline
0.67 & 119104.811118107 & 2136.41560503782 \tabularnewline
0.68 & 119521.678675636 & 2123.91585183422 \tabularnewline
0.69 & 119939.422424141 & 2108.0332838339 \tabularnewline
0.7 & 120357.771719494 & 2089.82716260752 \tabularnewline
0.71 & 120776.648601709 & 2069.62612684713 \tabularnewline
0.72 & 121196.338563252 & 2048.94809533806 \tabularnewline
0.73 & 121617.74701369 & 2029.67504860899 \tabularnewline
0.74 & 122042.743519708 & 2015.77555047145 \tabularnewline
0.75 & 122474.548984004 & 2013.63654836277 \tabularnewline
0.76 & 122918.063102975 & 2032.09879326236 \tabularnewline
0.77 & 123379.982221847 & 2081.30330500771 \tabularnewline
0.78 & 123868.548389719 & 2169.79892965084 \tabularnewline
0.79 & 124392.822177794 & 2301.2051970073 \tabularnewline
0.8 & 124961.490650384 & 2470.64185237227 \tabularnewline
0.81 & 125581.385367644 & 2663.84875384205 \tabularnewline
0.82 & 126256.040742097 & 2859.16798342332 \tabularnewline
0.83 & 126984.70192382 & 3031.7370297495 \tabularnewline
0.84 & 127762.141504476 & 3158.95299719134 \tabularnewline
0.85 & 128579.469674452 & 3225.74094099038 \tabularnewline
0.86 & 129425.906511304 & 3227.83685111501 \tabularnewline
0.87 & 130291.368129711 & 3172.33686938863 \tabularnewline
0.88 & 131169.812004923 & 3076.67004519859 \tabularnewline
0.89 & 132063.544077075 & 2967.45076817127 \tabularnewline
0.9 & 132988.799743027 & 2883.51991759347 \tabularnewline
0.91 & 133982.314939418 & 2883.72749692833 \tabularnewline
0.92 & 135106.739334684 & 3048.73394967279 \tabularnewline
0.93 & 136449.556933317 & 3452.92489220439 \tabularnewline
0.94 & 138106.893775694 & 4097.62006418888 \tabularnewline
0.95 & 140143.562046659 & 4842.77580489039 \tabularnewline
0.96 & 142529.519720637 & 5377.34784056407 \tabularnewline
0.97 & 145075.367574556 & 5266.00113809573 \tabularnewline
0.98 & 147419.828643556 & 4163.71299912517 \tabularnewline
0.99 & 149132.592285694 & 2271.47445372769 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162887&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]85279.98384854[/C][C]3479.42837412822[/C][/ROW]
[ROW][C]0.02[/C][C]87184.8069166988[/C][C]3425.10298082899[/C][/ROW]
[ROW][C]0.03[/C][C]89093.2561617089[/C][C]3007.42310197455[/C][/ROW]
[ROW][C]0.04[/C][C]90659.5967995479[/C][C]2379.99980255187[/C][/ROW]
[ROW][C]0.05[/C][C]91838.7208235281[/C][C]1873.00808542308[/C][/ROW]
[ROW][C]0.06[/C][C]92734.3098300124[/C][C]1689.91000244264[/C][/ROW]
[ROW][C]0.07[/C][C]93480.9554115149[/C][C]1811.30065035573[/C][/ROW]
[ROW][C]0.08[/C][C]94185.631956399[/C][C]2094.89927979669[/C][/ROW]
[ROW][C]0.09[/C][C]94910.7659237628[/C][C]2415.96087479883[/C][/ROW]
[ROW][C]0.1[/C][C]95678.8262218737[/C][C]2692.80852853587[/C][/ROW]
[ROW][C]0.11[/C][C]96484.571151742[/C][C]2878.44155818786[/C][/ROW]
[ROW][C]0.12[/C][C]97307.693906161[/C][C]2954.14835596529[/C][/ROW]
[ROW][C]0.13[/C][C]98123.0490141646[/C][C]2925.52057830004[/C][/ROW]
[ROW][C]0.14[/C][C]98907.7345373616[/C][C]2815.28735094309[/C][/ROW]
[ROW][C]0.15[/C][C]99645.0812563526[/C][C]2654.30757296372[/C][/ROW]
[ROW][C]0.16[/C][C]100325.964996202[/C][C]2472.7964344841[/C][/ROW]
[ROW][C]0.17[/C][C]100948.131816158[/C][C]2294.70664118769[/C][/ROW]
[ROW][C]0.18[/C][C]101514.379259093[/C][C]2134.65556627228[/C][/ROW]
[ROW][C]0.19[/C][C]102030.402877327[/C][C]1997.81928502513[/C][/ROW]
[ROW][C]0.2[/C][C]102502.915679888[/C][C]1882.56416222828[/C][/ROW]
[ROW][C]0.21[/C][C]102938.366649135[/C][C]1784.28985753391[/C][/ROW]
[ROW][C]0.22[/C][C]103342.318552771[/C][C]1698.10141463012[/C][/ROW]
[ROW][C]0.23[/C][C]103719.357941262[/C][C]1620.80830844158[/C][/ROW]
[ROW][C]0.24[/C][C]104073.322223986[/C][C]1551.9885991067[/C][/ROW]
[ROW][C]0.25[/C][C]104407.627806[/C][C]1492.88596558205[/C][/ROW]
[ROW][C]0.26[/C][C]104725.539352455[/C][C]1445.9971072738[/C][/ROW]
[ROW][C]0.27[/C][C]105030.299160096[/C][C]1412.79611563614[/C][/ROW]
[ROW][C]0.28[/C][C]105325.108886719[/C][C]1394.20697909835[/C][/ROW]
[ROW][C]0.29[/C][C]105613.006056335[/C][C]1389.23547142505[/C][/ROW]
[ROW][C]0.3[/C][C]105896.699366585[/C][C]1395.3554465499[/C][/ROW]
[ROW][C]0.31[/C][C]106178.423950198[/C][C]1410.00862282686[/C][/ROW]
[ROW][C]0.32[/C][C]106459.859561489[/C][C]1429.54132303871[/C][/ROW]
[ROW][C]0.33[/C][C]106742.130967329[/C][C]1451.37675168966[/C][/ROW]
[ROW][C]0.34[/C][C]107025.887980724[/C][C]1472.96273065823[/C][/ROW]
[ROW][C]0.35[/C][C]107311.446465802[/C][C]1493.39515141366[/C][/ROW]
[ROW][C]0.36[/C][C]107598.962255016[/C][C]1512.72288430276[/C][/ROW]
[ROW][C]0.37[/C][C]107888.606661973[/C][C]1531.52441379522[/C][/ROW]
[ROW][C]0.38[/C][C]108180.714131344[/C][C]1551.99105057838[/C][/ROW]
[ROW][C]0.39[/C][C]108475.878624234[/C][C]1575.90909957128[/C][/ROW]
[ROW][C]0.4[/C][C]108774.984688565[/C][C]1605.76855264743[/C][/ROW]
[ROW][C]0.41[/C][C]109079.1705695[/C][C]1643.13346685111[/C][/ROW]
[ROW][C]0.42[/C][C]109389.73239489[/C][C]1688.32337500769[/C][/ROW]
[ROW][C]0.43[/C][C]109707.988279474[/C][C]1741.33402161068[/C][/ROW]
[ROW][C]0.44[/C][C]110035.127142161[/C][C]1800.33273871682[/C][/ROW]
[ROW][C]0.45[/C][C]110372.067935969[/C][C]1862.9895904859[/C][/ROW]
[ROW][C]0.46[/C][C]110719.350912864[/C][C]1926.61147265241[/C][/ROW]
[ROW][C]0.47[/C][C]111077.07483352[/C][C]1988.31391858328[/C][/ROW]
[ROW][C]0.48[/C][C]111444.884892949[/C][C]2045.34773656927[/C][/ROW]
[ROW][C]0.49[/C][C]111822.007902268[/C][C]2095.58677279075[/C][/ROW]
[ROW][C]0.5[/C][C]112207.325647024[/C][C]2137.45914527767[/C][/ROW]
[ROW][C]0.51[/C][C]112599.474905946[/C][C]2170.03849692294[/C][/ROW]
[ROW][C]0.52[/C][C]112996.962757583[/C][C]2192.8807122959[/C][/ROW]
[ROW][C]0.53[/C][C]113398.28715906[/C][C]2206.19316699645[/C][/ROW]
[ROW][C]0.54[/C][C]113802.053914303[/C][C]2210.90618312101[/C][/ROW]
[ROW][C]0.55[/C][C]114207.081240867[/C][C]2208.35939860719[/C][/ROW]
[ROW][C]0.56[/C][C]114612.482389289[/C][C]2200.65924175087[/C][/ROW]
[ROW][C]0.57[/C][C]115017.716295297[/C][C]2189.83341930598[/C][/ROW]
[ROW][C]0.58[/C][C]115422.59757879[/C][C]2178.17918912195[/C][/ROW]
[ROW][C]0.59[/C][C]115827.261473022[/C][C]2167.86476595482[/C][/ROW]
[ROW][C]0.6[/C][C]116232.086480935[/C][C]2160.20502792011[/C][/ROW]
[ROW][C]0.61[/C][C]116637.586277919[/C][C]2155.65661277806[/C][/ROW]
[ROW][C]0.62[/C][C]117044.290015942[/C][C]2153.75969422293[/C][/ROW]
[ROW][C]0.63[/C][C]117452.63384964[/C][C]2153.45616232172[/C][/ROW]
[ROW][C]0.64[/C][C]117862.88422573[/C][C]2152.95437206498[/C][/ROW]
[ROW][C]0.65[/C][C]118275.105259722[/C][C]2150.70015364583[/C][/ROW]
[ROW][C]0.66[/C][C]118689.170817045[/C][C]2145.33196925347[/C][/ROW]
[ROW][C]0.67[/C][C]119104.811118107[/C][C]2136.41560503782[/C][/ROW]
[ROW][C]0.68[/C][C]119521.678675636[/C][C]2123.91585183422[/C][/ROW]
[ROW][C]0.69[/C][C]119939.422424141[/C][C]2108.0332838339[/C][/ROW]
[ROW][C]0.7[/C][C]120357.771719494[/C][C]2089.82716260752[/C][/ROW]
[ROW][C]0.71[/C][C]120776.648601709[/C][C]2069.62612684713[/C][/ROW]
[ROW][C]0.72[/C][C]121196.338563252[/C][C]2048.94809533806[/C][/ROW]
[ROW][C]0.73[/C][C]121617.74701369[/C][C]2029.67504860899[/C][/ROW]
[ROW][C]0.74[/C][C]122042.743519708[/C][C]2015.77555047145[/C][/ROW]
[ROW][C]0.75[/C][C]122474.548984004[/C][C]2013.63654836277[/C][/ROW]
[ROW][C]0.76[/C][C]122918.063102975[/C][C]2032.09879326236[/C][/ROW]
[ROW][C]0.77[/C][C]123379.982221847[/C][C]2081.30330500771[/C][/ROW]
[ROW][C]0.78[/C][C]123868.548389719[/C][C]2169.79892965084[/C][/ROW]
[ROW][C]0.79[/C][C]124392.822177794[/C][C]2301.2051970073[/C][/ROW]
[ROW][C]0.8[/C][C]124961.490650384[/C][C]2470.64185237227[/C][/ROW]
[ROW][C]0.81[/C][C]125581.385367644[/C][C]2663.84875384205[/C][/ROW]
[ROW][C]0.82[/C][C]126256.040742097[/C][C]2859.16798342332[/C][/ROW]
[ROW][C]0.83[/C][C]126984.70192382[/C][C]3031.7370297495[/C][/ROW]
[ROW][C]0.84[/C][C]127762.141504476[/C][C]3158.95299719134[/C][/ROW]
[ROW][C]0.85[/C][C]128579.469674452[/C][C]3225.74094099038[/C][/ROW]
[ROW][C]0.86[/C][C]129425.906511304[/C][C]3227.83685111501[/C][/ROW]
[ROW][C]0.87[/C][C]130291.368129711[/C][C]3172.33686938863[/C][/ROW]
[ROW][C]0.88[/C][C]131169.812004923[/C][C]3076.67004519859[/C][/ROW]
[ROW][C]0.89[/C][C]132063.544077075[/C][C]2967.45076817127[/C][/ROW]
[ROW][C]0.9[/C][C]132988.799743027[/C][C]2883.51991759347[/C][/ROW]
[ROW][C]0.91[/C][C]133982.314939418[/C][C]2883.72749692833[/C][/ROW]
[ROW][C]0.92[/C][C]135106.739334684[/C][C]3048.73394967279[/C][/ROW]
[ROW][C]0.93[/C][C]136449.556933317[/C][C]3452.92489220439[/C][/ROW]
[ROW][C]0.94[/C][C]138106.893775694[/C][C]4097.62006418888[/C][/ROW]
[ROW][C]0.95[/C][C]140143.562046659[/C][C]4842.77580489039[/C][/ROW]
[ROW][C]0.96[/C][C]142529.519720637[/C][C]5377.34784056407[/C][/ROW]
[ROW][C]0.97[/C][C]145075.367574556[/C][C]5266.00113809573[/C][/ROW]
[ROW][C]0.98[/C][C]147419.828643556[/C][C]4163.71299912517[/C][/ROW]
[ROW][C]0.99[/C][C]149132.592285694[/C][C]2271.47445372769[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162887&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162887&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
0.0185279.983848543479.42837412822
0.0287184.80691669883425.10298082899
0.0389093.25616170893007.42310197455
0.0490659.59679954792379.99980255187
0.0591838.72082352811873.00808542308
0.0692734.30983001241689.91000244264
0.0793480.95541151491811.30065035573
0.0894185.6319563992094.89927979669
0.0994910.76592376282415.96087479883
0.195678.82622187372692.80852853587
0.1196484.5711517422878.44155818786
0.1297307.6939061612954.14835596529
0.1398123.04901416462925.52057830004
0.1498907.73453736162815.28735094309
0.1599645.08125635262654.30757296372
0.16100325.9649962022472.7964344841
0.17100948.1318161582294.70664118769
0.18101514.3792590932134.65556627228
0.19102030.4028773271997.81928502513
0.2102502.9156798881882.56416222828
0.21102938.3666491351784.28985753391
0.22103342.3185527711698.10141463012
0.23103719.3579412621620.80830844158
0.24104073.3222239861551.9885991067
0.25104407.6278061492.88596558205
0.26104725.5393524551445.9971072738
0.27105030.2991600961412.79611563614
0.28105325.1088867191394.20697909835
0.29105613.0060563351389.23547142505
0.3105896.6993665851395.3554465499
0.31106178.4239501981410.00862282686
0.32106459.8595614891429.54132303871
0.33106742.1309673291451.37675168966
0.34107025.8879807241472.96273065823
0.35107311.4464658021493.39515141366
0.36107598.9622550161512.72288430276
0.37107888.6066619731531.52441379522
0.38108180.7141313441551.99105057838
0.39108475.8786242341575.90909957128
0.4108774.9846885651605.76855264743
0.41109079.17056951643.13346685111
0.42109389.732394891688.32337500769
0.43109707.9882794741741.33402161068
0.44110035.1271421611800.33273871682
0.45110372.0679359691862.9895904859
0.46110719.3509128641926.61147265241
0.47111077.074833521988.31391858328
0.48111444.8848929492045.34773656927
0.49111822.0079022682095.58677279075
0.5112207.3256470242137.45914527767
0.51112599.4749059462170.03849692294
0.52112996.9627575832192.8807122959
0.53113398.287159062206.19316699645
0.54113802.0539143032210.90618312101
0.55114207.0812408672208.35939860719
0.56114612.4823892892200.65924175087
0.57115017.7162952972189.83341930598
0.58115422.597578792178.17918912195
0.59115827.2614730222167.86476595482
0.6116232.0864809352160.20502792011
0.61116637.5862779192155.65661277806
0.62117044.2900159422153.75969422293
0.63117452.633849642153.45616232172
0.64117862.884225732152.95437206498
0.65118275.1052597222150.70015364583
0.66118689.1708170452145.33196925347
0.67119104.8111181072136.41560503782
0.68119521.6786756362123.91585183422
0.69119939.4224241412108.0332838339
0.7120357.7717194942089.82716260752
0.71120776.6486017092069.62612684713
0.72121196.3385632522048.94809533806
0.73121617.747013692029.67504860899
0.74122042.7435197082015.77555047145
0.75122474.5489840042013.63654836277
0.76122918.0631029752032.09879326236
0.77123379.9822218472081.30330500771
0.78123868.5483897192169.79892965084
0.79124392.8221777942301.2051970073
0.8124961.4906503842470.64185237227
0.81125581.3853676442663.84875384205
0.82126256.0407420972859.16798342332
0.83126984.701923823031.7370297495
0.84127762.1415044763158.95299719134
0.85128579.4696744523225.74094099038
0.86129425.9065113043227.83685111501
0.87130291.3681297113172.33686938863
0.88131169.8120049233076.67004519859
0.89132063.5440770752967.45076817127
0.9132988.7997430272883.51991759347
0.91133982.3149394182883.72749692833
0.92135106.7393346843048.73394967279
0.93136449.5569333173452.92489220439
0.94138106.8937756944097.62006418888
0.95140143.5620466594842.77580489039
0.96142529.5197206375377.34784056407
0.97145075.3675745565266.00113809573
0.98147419.8286435564163.71299912517
0.99149132.5922856942271.47445372769


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Unknown ;
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')