FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 12 Oct 2011 16:43:12 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/12/t1318452318u4vokv9rydg4j2e.htm/, Retrieved Fri, 10 May 2024 15:31:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128563, Retrieved Fri, 10 May 2024 15:31:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact106

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] [harrel davis -dec...] [2011-10-12 20:43:12] [31886bd2f92a612f059dd2285dd41f3c] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
49164
50112
52329
52872
53008
53804
57150
57863
58334
60621
62084
62395
61064
65989
67170
68813
69255
70643
73657
72723
72966
75159
74414
75573
70977
72291
72384
74385
70977
68889
71950
70463
70615
72567
75962
75851
75005
78635
82937
80337
82336
81858
83732
84158
84806
86610
91300
92038
99274
99292
100169
103661
100427
106692
108459
109815
108914
111181
114572
115019
149365
154780
163305
168139
170969
178788
184302
182706
189415
192260
200070
200555
203220
207325
209362
205709
205752
204527
208881
212113
216893
219171
226970
222226

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128563&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128563&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128563&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 time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0149701.58157279541239.58632250538
0.0250606.04824480421535.70785824867
0.0351599.55525744091614.81522652061
0.0452552.34059768181718.26156566829
0.0553473.90656879062009.82800472722
0.0654417.90645324922393.70446308807
0.0755415.88298249882729.00871279564
0.0856463.08114999332954.98968757015
0.0957535.36596741873088.97988668816
0.158609.84939094643182.87753243541
0.1159674.93787292023280.64849674754
0.1260729.24203112423396.77523118115
0.1361775.00901751213516.63500363275
0.1462811.62659214673608.87021449377
0.1563832.15341667153640.4657859074
0.1664823.37752883373588.49464623887
0.1765768.45505742353446.57467904227
0.1866650.65164470933225.75130047818
0.1967456.80066132662949.38116093841
0.268179.54473206272647.21691825199
0.2168818.016350482348.06961968508
0.2269377.13826259712074.78097579616
0.2369866.04553437481842.43526680164
0.2470296.21030504171657.51466926307
0.2570679.74158315121519.82104858995
0.2671028.13505783581425.33733840667
0.2771351.55266359271367.02441731142
0.2871658.57200043521338.52764810607
0.2971956.27575898361334.69053268475
0.372250.53932048611352.03864259495
0.3172546.39861602171388.94164501233
0.3272848.41807016891445.02659036606
0.3373161.01307137911521.53285757251
0.3473488.70325577611619.98316122272
0.3573836.28037853971743.24963504222
0.3674208.87335377911893.73345609857
0.3774611.89313967742073.40775167338
0.3875050.85098048162283.00759330457
0.3975531.06899361722520.16843091302
0.476057.33755918662780.75377993292
0.4176633.60688341383057.88757156458
0.4277262.81447414443344.65297179902
0.4377946.93335016543635.10925143023
0.4478687.27445944613925.6390554669
0.4579485.00073637134217.82453190122
0.4680341.73070994584517.04463093847
0.4781260.05329815854832.03946140586
0.4882243.76578111035172.09065212334
0.4983297.69537517215544.03349545958
0.584427.06549401335948.43573353663
0.5185636.49772124856378.12419514042
0.5286928.86564215716818.04664074184
0.5388304.30185676147247.47814678884
0.5489759.67939457447644.38562217895
0.5591288.83554751827989.91301388028
0.5692883.69108766328273.82933633007
0.5794536.26598170458499.32090641805
0.5896241.4328450568686.14598265688
0.5998000.10378628068872.2346247677
0.699822.42550881039113.68790678027
0.61101730.463423479481.65055806353
0.62103759.79194663510054.9747457828
0.63105959.39355738110907.9830297161
0.64108389.34218206212094.0393169022
0.65111115.95656819313629.500884245
0.66114204.49093204815481.928737592
0.67117709.96801901217566.8226901304
0.68121667.36231781619750.1160555436
0.69126082.84201520121862.4777452689
0.7130927.976234123718.0479964269
0.71136138.54718246625142.3456016516
0.72141618.83342009825999.5363577591
0.73147251.07999852226215.5364253829
0.74152908.63240422825790.2682532445
0.75158470.24970839224795.7659183085
0.76163832.7443883123360.9335841351
0.77168919.46939493221644.6395890589
0.78173683.2053773919804.7772518374
0.79178103.40608269617971.1812892851
0.8182179.14324238816226.8922138979
0.81185920.07621260314603.4863585266
0.82189338.10213876913089.2792429963
0.83192441.9484546111650.7197271219
0.84195235.97404809710254.9383934046
0.85197723.1377609718889.53030289281
0.86199910.867345427571.6963112489
0.87201817.8155293756346.61798652828
0.88203479.472186245276.96158855097
0.89204951.2412749954429.08415354483
0.9206308.3934661233860.41670940122
0.91207642.5221812453605.46276277201
0.92209053.4203759623658.08714846739
0.93210634.7488180063947.94104888682
0.94212454.406310584329.31644134523
0.95214538.7494671554605.49216132158
0.96216879.3630141054614.33984105778
0.97219468.6611340374359.60687054989
0.98222291.5826477134105.86484236223
0.99225087.9472729254253.64904647807

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 49701.5815727954 & 1239.58632250538 \tabularnewline
0.02 & 50606.0482448042 & 1535.70785824867 \tabularnewline
0.03 & 51599.5552574409 & 1614.81522652061 \tabularnewline
0.04 & 52552.3405976818 & 1718.26156566829 \tabularnewline
0.05 & 53473.9065687906 & 2009.82800472722 \tabularnewline
0.06 & 54417.9064532492 & 2393.70446308807 \tabularnewline
0.07 & 55415.8829824988 & 2729.00871279564 \tabularnewline
0.08 & 56463.0811499933 & 2954.98968757015 \tabularnewline
0.09 & 57535.3659674187 & 3088.97988668816 \tabularnewline
0.1 & 58609.8493909464 & 3182.87753243541 \tabularnewline
0.11 & 59674.9378729202 & 3280.64849674754 \tabularnewline
0.12 & 60729.2420311242 & 3396.77523118115 \tabularnewline
0.13 & 61775.0090175121 & 3516.63500363275 \tabularnewline
0.14 & 62811.6265921467 & 3608.87021449377 \tabularnewline
0.15 & 63832.1534166715 & 3640.4657859074 \tabularnewline
0.16 & 64823.3775288337 & 3588.49464623887 \tabularnewline
0.17 & 65768.4550574235 & 3446.57467904227 \tabularnewline
0.18 & 66650.6516447093 & 3225.75130047818 \tabularnewline
0.19 & 67456.8006613266 & 2949.38116093841 \tabularnewline
0.2 & 68179.5447320627 & 2647.21691825199 \tabularnewline
0.21 & 68818.01635048 & 2348.06961968508 \tabularnewline
0.22 & 69377.1382625971 & 2074.78097579616 \tabularnewline
0.23 & 69866.0455343748 & 1842.43526680164 \tabularnewline
0.24 & 70296.2103050417 & 1657.51466926307 \tabularnewline
0.25 & 70679.7415831512 & 1519.82104858995 \tabularnewline
0.26 & 71028.1350578358 & 1425.33733840667 \tabularnewline
0.27 & 71351.5526635927 & 1367.02441731142 \tabularnewline
0.28 & 71658.5720004352 & 1338.52764810607 \tabularnewline
0.29 & 71956.2757589836 & 1334.69053268475 \tabularnewline
0.3 & 72250.5393204861 & 1352.03864259495 \tabularnewline
0.31 & 72546.3986160217 & 1388.94164501233 \tabularnewline
0.32 & 72848.4180701689 & 1445.02659036606 \tabularnewline
0.33 & 73161.0130713791 & 1521.53285757251 \tabularnewline
0.34 & 73488.7032557761 & 1619.98316122272 \tabularnewline
0.35 & 73836.2803785397 & 1743.24963504222 \tabularnewline
0.36 & 74208.8733537791 & 1893.73345609857 \tabularnewline
0.37 & 74611.8931396774 & 2073.40775167338 \tabularnewline
0.38 & 75050.8509804816 & 2283.00759330457 \tabularnewline
0.39 & 75531.0689936172 & 2520.16843091302 \tabularnewline
0.4 & 76057.3375591866 & 2780.75377993292 \tabularnewline
0.41 & 76633.6068834138 & 3057.88757156458 \tabularnewline
0.42 & 77262.8144741444 & 3344.65297179902 \tabularnewline
0.43 & 77946.9333501654 & 3635.10925143023 \tabularnewline
0.44 & 78687.2744594461 & 3925.6390554669 \tabularnewline
0.45 & 79485.0007363713 & 4217.82453190122 \tabularnewline
0.46 & 80341.7307099458 & 4517.04463093847 \tabularnewline
0.47 & 81260.0532981585 & 4832.03946140586 \tabularnewline
0.48 & 82243.7657811103 & 5172.09065212334 \tabularnewline
0.49 & 83297.6953751721 & 5544.03349545958 \tabularnewline
0.5 & 84427.0654940133 & 5948.43573353663 \tabularnewline
0.51 & 85636.4977212485 & 6378.12419514042 \tabularnewline
0.52 & 86928.8656421571 & 6818.04664074184 \tabularnewline
0.53 & 88304.3018567614 & 7247.47814678884 \tabularnewline
0.54 & 89759.6793945744 & 7644.38562217895 \tabularnewline
0.55 & 91288.8355475182 & 7989.91301388028 \tabularnewline
0.56 & 92883.6910876632 & 8273.82933633007 \tabularnewline
0.57 & 94536.2659817045 & 8499.32090641805 \tabularnewline
0.58 & 96241.432845056 & 8686.14598265688 \tabularnewline
0.59 & 98000.1037862806 & 8872.2346247677 \tabularnewline
0.6 & 99822.4255088103 & 9113.68790678027 \tabularnewline
0.61 & 101730.46342347 & 9481.65055806353 \tabularnewline
0.62 & 103759.791946635 & 10054.9747457828 \tabularnewline
0.63 & 105959.393557381 & 10907.9830297161 \tabularnewline
0.64 & 108389.342182062 & 12094.0393169022 \tabularnewline
0.65 & 111115.956568193 & 13629.500884245 \tabularnewline
0.66 & 114204.490932048 & 15481.928737592 \tabularnewline
0.67 & 117709.968019012 & 17566.8226901304 \tabularnewline
0.68 & 121667.362317816 & 19750.1160555436 \tabularnewline
0.69 & 126082.842015201 & 21862.4777452689 \tabularnewline
0.7 & 130927.9762341 & 23718.0479964269 \tabularnewline
0.71 & 136138.547182466 & 25142.3456016516 \tabularnewline
0.72 & 141618.833420098 & 25999.5363577591 \tabularnewline
0.73 & 147251.079998522 & 26215.5364253829 \tabularnewline
0.74 & 152908.632404228 & 25790.2682532445 \tabularnewline
0.75 & 158470.249708392 & 24795.7659183085 \tabularnewline
0.76 & 163832.74438831 & 23360.9335841351 \tabularnewline
0.77 & 168919.469394932 & 21644.6395890589 \tabularnewline
0.78 & 173683.20537739 & 19804.7772518374 \tabularnewline
0.79 & 178103.406082696 & 17971.1812892851 \tabularnewline
0.8 & 182179.143242388 & 16226.8922138979 \tabularnewline
0.81 & 185920.076212603 & 14603.4863585266 \tabularnewline
0.82 & 189338.102138769 & 13089.2792429963 \tabularnewline
0.83 & 192441.94845461 & 11650.7197271219 \tabularnewline
0.84 & 195235.974048097 & 10254.9383934046 \tabularnewline
0.85 & 197723.137760971 & 8889.53030289281 \tabularnewline
0.86 & 199910.86734542 & 7571.6963112489 \tabularnewline
0.87 & 201817.815529375 & 6346.61798652828 \tabularnewline
0.88 & 203479.47218624 & 5276.96158855097 \tabularnewline
0.89 & 204951.241274995 & 4429.08415354483 \tabularnewline
0.9 & 206308.393466123 & 3860.41670940122 \tabularnewline
0.91 & 207642.522181245 & 3605.46276277201 \tabularnewline
0.92 & 209053.420375962 & 3658.08714846739 \tabularnewline
0.93 & 210634.748818006 & 3947.94104888682 \tabularnewline
0.94 & 212454.40631058 & 4329.31644134523 \tabularnewline
0.95 & 214538.749467155 & 4605.49216132158 \tabularnewline
0.96 & 216879.363014105 & 4614.33984105778 \tabularnewline
0.97 & 219468.661134037 & 4359.60687054989 \tabularnewline
0.98 & 222291.582647713 & 4105.86484236223 \tabularnewline
0.99 & 225087.947272925 & 4253.64904647807 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128563&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]49701.5815727954[/C][C]1239.58632250538[/C][/ROW]
[ROW][C]0.02[/C][C]50606.0482448042[/C][C]1535.70785824867[/C][/ROW]
[ROW][C]0.03[/C][C]51599.5552574409[/C][C]1614.81522652061[/C][/ROW]
[ROW][C]0.04[/C][C]52552.3405976818[/C][C]1718.26156566829[/C][/ROW]
[ROW][C]0.05[/C][C]53473.9065687906[/C][C]2009.82800472722[/C][/ROW]
[ROW][C]0.06[/C][C]54417.9064532492[/C][C]2393.70446308807[/C][/ROW]
[ROW][C]0.07[/C][C]55415.8829824988[/C][C]2729.00871279564[/C][/ROW]
[ROW][C]0.08[/C][C]56463.0811499933[/C][C]2954.98968757015[/C][/ROW]
[ROW][C]0.09[/C][C]57535.3659674187[/C][C]3088.97988668816[/C][/ROW]
[ROW][C]0.1[/C][C]58609.8493909464[/C][C]3182.87753243541[/C][/ROW]
[ROW][C]0.11[/C][C]59674.9378729202[/C][C]3280.64849674754[/C][/ROW]
[ROW][C]0.12[/C][C]60729.2420311242[/C][C]3396.77523118115[/C][/ROW]
[ROW][C]0.13[/C][C]61775.0090175121[/C][C]3516.63500363275[/C][/ROW]
[ROW][C]0.14[/C][C]62811.6265921467[/C][C]3608.87021449377[/C][/ROW]
[ROW][C]0.15[/C][C]63832.1534166715[/C][C]3640.4657859074[/C][/ROW]
[ROW][C]0.16[/C][C]64823.3775288337[/C][C]3588.49464623887[/C][/ROW]
[ROW][C]0.17[/C][C]65768.4550574235[/C][C]3446.57467904227[/C][/ROW]
[ROW][C]0.18[/C][C]66650.6516447093[/C][C]3225.75130047818[/C][/ROW]
[ROW][C]0.19[/C][C]67456.8006613266[/C][C]2949.38116093841[/C][/ROW]
[ROW][C]0.2[/C][C]68179.5447320627[/C][C]2647.21691825199[/C][/ROW]
[ROW][C]0.21[/C][C]68818.01635048[/C][C]2348.06961968508[/C][/ROW]
[ROW][C]0.22[/C][C]69377.1382625971[/C][C]2074.78097579616[/C][/ROW]
[ROW][C]0.23[/C][C]69866.0455343748[/C][C]1842.43526680164[/C][/ROW]
[ROW][C]0.24[/C][C]70296.2103050417[/C][C]1657.51466926307[/C][/ROW]
[ROW][C]0.25[/C][C]70679.7415831512[/C][C]1519.82104858995[/C][/ROW]
[ROW][C]0.26[/C][C]71028.1350578358[/C][C]1425.33733840667[/C][/ROW]
[ROW][C]0.27[/C][C]71351.5526635927[/C][C]1367.02441731142[/C][/ROW]
[ROW][C]0.28[/C][C]71658.5720004352[/C][C]1338.52764810607[/C][/ROW]
[ROW][C]0.29[/C][C]71956.2757589836[/C][C]1334.69053268475[/C][/ROW]
[ROW][C]0.3[/C][C]72250.5393204861[/C][C]1352.03864259495[/C][/ROW]
[ROW][C]0.31[/C][C]72546.3986160217[/C][C]1388.94164501233[/C][/ROW]
[ROW][C]0.32[/C][C]72848.4180701689[/C][C]1445.02659036606[/C][/ROW]
[ROW][C]0.33[/C][C]73161.0130713791[/C][C]1521.53285757251[/C][/ROW]
[ROW][C]0.34[/C][C]73488.7032557761[/C][C]1619.98316122272[/C][/ROW]
[ROW][C]0.35[/C][C]73836.2803785397[/C][C]1743.24963504222[/C][/ROW]
[ROW][C]0.36[/C][C]74208.8733537791[/C][C]1893.73345609857[/C][/ROW]
[ROW][C]0.37[/C][C]74611.8931396774[/C][C]2073.40775167338[/C][/ROW]
[ROW][C]0.38[/C][C]75050.8509804816[/C][C]2283.00759330457[/C][/ROW]
[ROW][C]0.39[/C][C]75531.0689936172[/C][C]2520.16843091302[/C][/ROW]
[ROW][C]0.4[/C][C]76057.3375591866[/C][C]2780.75377993292[/C][/ROW]
[ROW][C]0.41[/C][C]76633.6068834138[/C][C]3057.88757156458[/C][/ROW]
[ROW][C]0.42[/C][C]77262.8144741444[/C][C]3344.65297179902[/C][/ROW]
[ROW][C]0.43[/C][C]77946.9333501654[/C][C]3635.10925143023[/C][/ROW]
[ROW][C]0.44[/C][C]78687.2744594461[/C][C]3925.6390554669[/C][/ROW]
[ROW][C]0.45[/C][C]79485.0007363713[/C][C]4217.82453190122[/C][/ROW]
[ROW][C]0.46[/C][C]80341.7307099458[/C][C]4517.04463093847[/C][/ROW]
[ROW][C]0.47[/C][C]81260.0532981585[/C][C]4832.03946140586[/C][/ROW]
[ROW][C]0.48[/C][C]82243.7657811103[/C][C]5172.09065212334[/C][/ROW]
[ROW][C]0.49[/C][C]83297.6953751721[/C][C]5544.03349545958[/C][/ROW]
[ROW][C]0.5[/C][C]84427.0654940133[/C][C]5948.43573353663[/C][/ROW]
[ROW][C]0.51[/C][C]85636.4977212485[/C][C]6378.12419514042[/C][/ROW]
[ROW][C]0.52[/C][C]86928.8656421571[/C][C]6818.04664074184[/C][/ROW]
[ROW][C]0.53[/C][C]88304.3018567614[/C][C]7247.47814678884[/C][/ROW]
[ROW][C]0.54[/C][C]89759.6793945744[/C][C]7644.38562217895[/C][/ROW]
[ROW][C]0.55[/C][C]91288.8355475182[/C][C]7989.91301388028[/C][/ROW]
[ROW][C]0.56[/C][C]92883.6910876632[/C][C]8273.82933633007[/C][/ROW]
[ROW][C]0.57[/C][C]94536.2659817045[/C][C]8499.32090641805[/C][/ROW]
[ROW][C]0.58[/C][C]96241.432845056[/C][C]8686.14598265688[/C][/ROW]
[ROW][C]0.59[/C][C]98000.1037862806[/C][C]8872.2346247677[/C][/ROW]
[ROW][C]0.6[/C][C]99822.4255088103[/C][C]9113.68790678027[/C][/ROW]
[ROW][C]0.61[/C][C]101730.46342347[/C][C]9481.65055806353[/C][/ROW]
[ROW][C]0.62[/C][C]103759.791946635[/C][C]10054.9747457828[/C][/ROW]
[ROW][C]0.63[/C][C]105959.393557381[/C][C]10907.9830297161[/C][/ROW]
[ROW][C]0.64[/C][C]108389.342182062[/C][C]12094.0393169022[/C][/ROW]
[ROW][C]0.65[/C][C]111115.956568193[/C][C]13629.500884245[/C][/ROW]
[ROW][C]0.66[/C][C]114204.490932048[/C][C]15481.928737592[/C][/ROW]
[ROW][C]0.67[/C][C]117709.968019012[/C][C]17566.8226901304[/C][/ROW]
[ROW][C]0.68[/C][C]121667.362317816[/C][C]19750.1160555436[/C][/ROW]
[ROW][C]0.69[/C][C]126082.842015201[/C][C]21862.4777452689[/C][/ROW]
[ROW][C]0.7[/C][C]130927.9762341[/C][C]23718.0479964269[/C][/ROW]
[ROW][C]0.71[/C][C]136138.547182466[/C][C]25142.3456016516[/C][/ROW]
[ROW][C]0.72[/C][C]141618.833420098[/C][C]25999.5363577591[/C][/ROW]
[ROW][C]0.73[/C][C]147251.079998522[/C][C]26215.5364253829[/C][/ROW]
[ROW][C]0.74[/C][C]152908.632404228[/C][C]25790.2682532445[/C][/ROW]
[ROW][C]0.75[/C][C]158470.249708392[/C][C]24795.7659183085[/C][/ROW]
[ROW][C]0.76[/C][C]163832.74438831[/C][C]23360.9335841351[/C][/ROW]
[ROW][C]0.77[/C][C]168919.469394932[/C][C]21644.6395890589[/C][/ROW]
[ROW][C]0.78[/C][C]173683.20537739[/C][C]19804.7772518374[/C][/ROW]
[ROW][C]0.79[/C][C]178103.406082696[/C][C]17971.1812892851[/C][/ROW]
[ROW][C]0.8[/C][C]182179.143242388[/C][C]16226.8922138979[/C][/ROW]
[ROW][C]0.81[/C][C]185920.076212603[/C][C]14603.4863585266[/C][/ROW]
[ROW][C]0.82[/C][C]189338.102138769[/C][C]13089.2792429963[/C][/ROW]
[ROW][C]0.83[/C][C]192441.94845461[/C][C]11650.7197271219[/C][/ROW]
[ROW][C]0.84[/C][C]195235.974048097[/C][C]10254.9383934046[/C][/ROW]
[ROW][C]0.85[/C][C]197723.137760971[/C][C]8889.53030289281[/C][/ROW]
[ROW][C]0.86[/C][C]199910.86734542[/C][C]7571.6963112489[/C][/ROW]
[ROW][C]0.87[/C][C]201817.815529375[/C][C]6346.61798652828[/C][/ROW]
[ROW][C]0.88[/C][C]203479.47218624[/C][C]5276.96158855097[/C][/ROW]
[ROW][C]0.89[/C][C]204951.241274995[/C][C]4429.08415354483[/C][/ROW]
[ROW][C]0.9[/C][C]206308.393466123[/C][C]3860.41670940122[/C][/ROW]
[ROW][C]0.91[/C][C]207642.522181245[/C][C]3605.46276277201[/C][/ROW]
[ROW][C]0.92[/C][C]209053.420375962[/C][C]3658.08714846739[/C][/ROW]
[ROW][C]0.93[/C][C]210634.748818006[/C][C]3947.94104888682[/C][/ROW]
[ROW][C]0.94[/C][C]212454.40631058[/C][C]4329.31644134523[/C][/ROW]
[ROW][C]0.95[/C][C]214538.749467155[/C][C]4605.49216132158[/C][/ROW]
[ROW][C]0.96[/C][C]216879.363014105[/C][C]4614.33984105778[/C][/ROW]
[ROW][C]0.97[/C][C]219468.661134037[/C][C]4359.60687054989[/C][/ROW]
[ROW][C]0.98[/C][C]222291.582647713[/C][C]4105.86484236223[/C][/ROW]
[ROW][C]0.99[/C][C]225087.947272925[/C][C]4253.64904647807[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128563&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128563&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
0.0149701.58157279541239.58632250538
0.0250606.04824480421535.70785824867
0.0351599.55525744091614.81522652061
0.0452552.34059768181718.26156566829
0.0553473.90656879062009.82800472722
0.0654417.90645324922393.70446308807
0.0755415.88298249882729.00871279564
0.0856463.08114999332954.98968757015
0.0957535.36596741873088.97988668816
0.158609.84939094643182.87753243541
0.1159674.93787292023280.64849674754
0.1260729.24203112423396.77523118115
0.1361775.00901751213516.63500363275
0.1462811.62659214673608.87021449377
0.1563832.15341667153640.4657859074
0.1664823.37752883373588.49464623887
0.1765768.45505742353446.57467904227
0.1866650.65164470933225.75130047818
0.1967456.80066132662949.38116093841
0.268179.54473206272647.21691825199
0.2168818.016350482348.06961968508
0.2269377.13826259712074.78097579616
0.2369866.04553437481842.43526680164
0.2470296.21030504171657.51466926307
0.2570679.74158315121519.82104858995
0.2671028.13505783581425.33733840667
0.2771351.55266359271367.02441731142
0.2871658.57200043521338.52764810607
0.2971956.27575898361334.69053268475
0.372250.53932048611352.03864259495
0.3172546.39861602171388.94164501233
0.3272848.41807016891445.02659036606
0.3373161.01307137911521.53285757251
0.3473488.70325577611619.98316122272
0.3573836.28037853971743.24963504222
0.3674208.87335377911893.73345609857
0.3774611.89313967742073.40775167338
0.3875050.85098048162283.00759330457
0.3975531.06899361722520.16843091302
0.476057.33755918662780.75377993292
0.4176633.60688341383057.88757156458
0.4277262.81447414443344.65297179902
0.4377946.93335016543635.10925143023
0.4478687.27445944613925.6390554669
0.4579485.00073637134217.82453190122
0.4680341.73070994584517.04463093847
0.4781260.05329815854832.03946140586
0.4882243.76578111035172.09065212334
0.4983297.69537517215544.03349545958
0.584427.06549401335948.43573353663
0.5185636.49772124856378.12419514042
0.5286928.86564215716818.04664074184
0.5388304.30185676147247.47814678884
0.5489759.67939457447644.38562217895
0.5591288.83554751827989.91301388028
0.5692883.69108766328273.82933633007
0.5794536.26598170458499.32090641805
0.5896241.4328450568686.14598265688
0.5998000.10378628068872.2346247677
0.699822.42550881039113.68790678027
0.61101730.463423479481.65055806353
0.62103759.79194663510054.9747457828
0.63105959.39355738110907.9830297161
0.64108389.34218206212094.0393169022
0.65111115.95656819313629.500884245
0.66114204.49093204815481.928737592
0.67117709.96801901217566.8226901304
0.68121667.36231781619750.1160555436
0.69126082.84201520121862.4777452689
0.7130927.976234123718.0479964269
0.71136138.54718246625142.3456016516
0.72141618.83342009825999.5363577591
0.73147251.07999852226215.5364253829
0.74152908.63240422825790.2682532445
0.75158470.24970839224795.7659183085
0.76163832.7443883123360.9335841351
0.77168919.46939493221644.6395890589
0.78173683.2053773919804.7772518374
0.79178103.40608269617971.1812892851
0.8182179.14324238816226.8922138979
0.81185920.07621260314603.4863585266
0.82189338.10213876913089.2792429963
0.83192441.9484546111650.7197271219
0.84195235.97404809710254.9383934046
0.85197723.1377609718889.53030289281
0.86199910.867345427571.6963112489
0.87201817.8155293756346.61798652828
0.88203479.472186245276.96158855097
0.89204951.2412749954429.08415354483
0.9206308.3934661233860.41670940122
0.91207642.5221812453605.46276277201
0.92209053.4203759623658.08714846739
0.93210634.7488180063947.94104888682
0.94212454.406310584329.31644134523
0.95214538.7494671554605.49216132158
0.96216879.3630141054614.33984105778
0.97219468.6611340374359.60687054989
0.98222291.5826477134105.86484236223
0.99225087.9472729254253.64904647807


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')