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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 computationTue, 10 Mar 2009 05:26:58 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Mar/10/t12366844979qkgvxrytfhlb0w.htm/, Retrieved Thu, 25 Apr 2024 09:30:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38857, Retrieved Thu, 25 Apr 2024 09:30:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact146

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 reek...] [2009-03-10 11:26:58] [5bec71d27a895508e2db6d64b12a8509] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
41
39
50
40
43
38
44
35
39
35
29
49
50
59
63
32
47
53
60
57
52
70
90
74
62
55
84
94
70
108
139
120
97
126
149
158
124
140
109
114
77
120
133
110
92
97
78
99
107
112
90
98
125
155
190
236
189
174
178
136
161
171
149
184
155
276
224
213
279
268
287
238
213
257
293
212
246
353
339
308
247
257
322
298
273
312
249
286
279
309
401
309
328
353
354
327
324
285
243
241
287
355
460
364
487
452
391
500
451
375
372
302
316
398
394
431
431

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'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38857&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38857&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38857&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0130.93951345738752.76287320910593
0.0233.47057388592332.53628693759235
0.0335.5524342397292.41071395218385
0.0437.22731732390262.4031533172280
0.0538.69560599286422.52443183358963
0.0640.10835929096382.88260343851918
0.0741.57831894537273.4143093840581
0.0843.16286301881573.94235644965103
0.0944.85618802069734.34235931819169
0.146.61623511749524.60133926948337
0.1148.40341189702724.79543757718503
0.1250.2053654317675.0314439632723
0.1352.04062089729245.39004027435408
0.1453.9479952292845.90180599241251
0.1555.97227086136526.55807649449368
0.1658.15307811488327.3300240483163
0.1760.51864056265718.17890306874057
0.1863.08281761662379.05623267538513
0.1965.84359631887719.90379352798756
0.268.782469905687510.6592955610076
0.2171.865274660236811.2641016430669
0.2275.045245552993511.6744808443598
0.2378.268460390718311.8703879295606
0.2481.48099401845411.8617181643756
0.2584.636422029674211.6877099311500
0.2687.70203412958911.4116186410156
0.2790.662349325882511.1075550102692
0.2893.519241140912410.8445082166482
0.2996.288963247592410.6732163258266
0.398.99724139744210.6187223593648
0.31101.67400847494210.6837345378902
0.32104.34916211940510.8576244311869
0.33107.05006677032411.1257656404606
0.34109.80074704144811.4769151052922
0.35112.62216726994511.9034942837437
0.36115.53283611508312.4004872030580
0.37118.54917725084712.9617878008308
0.38121.68548965201113.5778239075056
0.39124.95368169865914.2372072349047
0.4128.36316325390214.9269544505556
0.41131.92127131612815.6377483124527
0.42135.63441602029116.3672022122438
0.43139.50983979323917.1236141862697
0.44143.55758077082517.9247054890678
0.45147.79202076866318.7968308317082
0.46152.23235419138219.7635718362434
0.47156.90146681108420.8406269128185
0.48161.82303351236022.0250148260956
0.49167.01705485479823.2883562193190
0.5172.49445719823724.5755712016596
0.51178.25169511019325.8076428251277
0.52184.26645953459526.8906626327317
0.53190.49557488041427.7258795279942
0.54196.87593781747328.2264003729024
0.55203.32889671319628.3324477261055
0.56209.76781409619228.0246600980822
0.57216.10778474397827.3318352006348
0.58222.27577610163326.3290657040632
0.59228.21905593697925.1277643387092
0.6233.90989984148823.8549386239005
0.61239.34532944830922.6265475524445
0.62244.54190558313921.5255029982592
0.63249.52703889086920.5818905661773
0.64254.32938886725819.7754503538664
0.65258.97124372471419.0527388165297
0.66263.46509654142418.3521597183516
0.67267.81512622117017.6340542912954
0.68272.02248644905116.8955145283126
0.69276.09191087612416.1692662722266
0.7280.03675338699015.5100638401795
0.71283.88040527390614.9695515695304
0.72287.65375435765414.5755948510974
0.73291.39023509810914.3216259959639
0.74295.12119617396714.1760195053719
0.75298.87418023262714.1052208025017
0.76302.67523758254314.0962195591907
0.77306.55417925312514.1687933130909
0.78310.54971376331914.3680644813273
0.79314.71070748666114.7393435313396
0.8319.09098268986815.2930855492259
0.81323.73808363709315.9811969075407
0.82328.68037807708116.6967835425600
0.83333.91979182829117.3097492701686
0.84339.43689263719817.7280617812747
0.85345.20941388771417.9556540475195
0.86351.23643536591318.1042034969023
0.87357.55449386592918.3322392559093
0.88364.23623690193118.7380245148500
0.89371.37750612345219.3044030868982
0.9379.09202246674419.9725412318462
0.91387.52294967573920.7769014454246
0.92396.8421462759721.820438918701
0.93407.17903774424322.9547202652132
0.94418.47441028748823.4945759172465
0.95430.42043014335122.5850119078504
0.96442.78592654785620.321533677079
0.97456.12024859890718.7814607250954
0.98471.70644600473319.5791504429836
0.99488.74289636682617.7356842005808

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 30.9395134573875 & 2.76287320910593 \tabularnewline
0.02 & 33.4705738859233 & 2.53628693759235 \tabularnewline
0.03 & 35.552434239729 & 2.41071395218385 \tabularnewline
0.04 & 37.2273173239026 & 2.4031533172280 \tabularnewline
0.05 & 38.6956059928642 & 2.52443183358963 \tabularnewline
0.06 & 40.1083592909638 & 2.88260343851918 \tabularnewline
0.07 & 41.5783189453727 & 3.4143093840581 \tabularnewline
0.08 & 43.1628630188157 & 3.94235644965103 \tabularnewline
0.09 & 44.8561880206973 & 4.34235931819169 \tabularnewline
0.1 & 46.6162351174952 & 4.60133926948337 \tabularnewline
0.11 & 48.4034118970272 & 4.79543757718503 \tabularnewline
0.12 & 50.205365431767 & 5.0314439632723 \tabularnewline
0.13 & 52.0406208972924 & 5.39004027435408 \tabularnewline
0.14 & 53.947995229284 & 5.90180599241251 \tabularnewline
0.15 & 55.9722708613652 & 6.55807649449368 \tabularnewline
0.16 & 58.1530781148832 & 7.3300240483163 \tabularnewline
0.17 & 60.5186405626571 & 8.17890306874057 \tabularnewline
0.18 & 63.0828176166237 & 9.05623267538513 \tabularnewline
0.19 & 65.8435963188771 & 9.90379352798756 \tabularnewline
0.2 & 68.7824699056875 & 10.6592955610076 \tabularnewline
0.21 & 71.8652746602368 & 11.2641016430669 \tabularnewline
0.22 & 75.0452455529935 & 11.6744808443598 \tabularnewline
0.23 & 78.2684603907183 & 11.8703879295606 \tabularnewline
0.24 & 81.480994018454 & 11.8617181643756 \tabularnewline
0.25 & 84.6364220296742 & 11.6877099311500 \tabularnewline
0.26 & 87.702034129589 & 11.4116186410156 \tabularnewline
0.27 & 90.6623493258825 & 11.1075550102692 \tabularnewline
0.28 & 93.5192411409124 & 10.8445082166482 \tabularnewline
0.29 & 96.2889632475924 & 10.6732163258266 \tabularnewline
0.3 & 98.997241397442 & 10.6187223593648 \tabularnewline
0.31 & 101.674008474942 & 10.6837345378902 \tabularnewline
0.32 & 104.349162119405 & 10.8576244311869 \tabularnewline
0.33 & 107.050066770324 & 11.1257656404606 \tabularnewline
0.34 & 109.800747041448 & 11.4769151052922 \tabularnewline
0.35 & 112.622167269945 & 11.9034942837437 \tabularnewline
0.36 & 115.532836115083 & 12.4004872030580 \tabularnewline
0.37 & 118.549177250847 & 12.9617878008308 \tabularnewline
0.38 & 121.685489652011 & 13.5778239075056 \tabularnewline
0.39 & 124.953681698659 & 14.2372072349047 \tabularnewline
0.4 & 128.363163253902 & 14.9269544505556 \tabularnewline
0.41 & 131.921271316128 & 15.6377483124527 \tabularnewline
0.42 & 135.634416020291 & 16.3672022122438 \tabularnewline
0.43 & 139.509839793239 & 17.1236141862697 \tabularnewline
0.44 & 143.557580770825 & 17.9247054890678 \tabularnewline
0.45 & 147.792020768663 & 18.7968308317082 \tabularnewline
0.46 & 152.232354191382 & 19.7635718362434 \tabularnewline
0.47 & 156.901466811084 & 20.8406269128185 \tabularnewline
0.48 & 161.823033512360 & 22.0250148260956 \tabularnewline
0.49 & 167.017054854798 & 23.2883562193190 \tabularnewline
0.5 & 172.494457198237 & 24.5755712016596 \tabularnewline
0.51 & 178.251695110193 & 25.8076428251277 \tabularnewline
0.52 & 184.266459534595 & 26.8906626327317 \tabularnewline
0.53 & 190.495574880414 & 27.7258795279942 \tabularnewline
0.54 & 196.875937817473 & 28.2264003729024 \tabularnewline
0.55 & 203.328896713196 & 28.3324477261055 \tabularnewline
0.56 & 209.767814096192 & 28.0246600980822 \tabularnewline
0.57 & 216.107784743978 & 27.3318352006348 \tabularnewline
0.58 & 222.275776101633 & 26.3290657040632 \tabularnewline
0.59 & 228.219055936979 & 25.1277643387092 \tabularnewline
0.6 & 233.909899841488 & 23.8549386239005 \tabularnewline
0.61 & 239.345329448309 & 22.6265475524445 \tabularnewline
0.62 & 244.541905583139 & 21.5255029982592 \tabularnewline
0.63 & 249.527038890869 & 20.5818905661773 \tabularnewline
0.64 & 254.329388867258 & 19.7754503538664 \tabularnewline
0.65 & 258.971243724714 & 19.0527388165297 \tabularnewline
0.66 & 263.465096541424 & 18.3521597183516 \tabularnewline
0.67 & 267.815126221170 & 17.6340542912954 \tabularnewline
0.68 & 272.022486449051 & 16.8955145283126 \tabularnewline
0.69 & 276.091910876124 & 16.1692662722266 \tabularnewline
0.7 & 280.036753386990 & 15.5100638401795 \tabularnewline
0.71 & 283.880405273906 & 14.9695515695304 \tabularnewline
0.72 & 287.653754357654 & 14.5755948510974 \tabularnewline
0.73 & 291.390235098109 & 14.3216259959639 \tabularnewline
0.74 & 295.121196173967 & 14.1760195053719 \tabularnewline
0.75 & 298.874180232627 & 14.1052208025017 \tabularnewline
0.76 & 302.675237582543 & 14.0962195591907 \tabularnewline
0.77 & 306.554179253125 & 14.1687933130909 \tabularnewline
0.78 & 310.549713763319 & 14.3680644813273 \tabularnewline
0.79 & 314.710707486661 & 14.7393435313396 \tabularnewline
0.8 & 319.090982689868 & 15.2930855492259 \tabularnewline
0.81 & 323.738083637093 & 15.9811969075407 \tabularnewline
0.82 & 328.680378077081 & 16.6967835425600 \tabularnewline
0.83 & 333.919791828291 & 17.3097492701686 \tabularnewline
0.84 & 339.436892637198 & 17.7280617812747 \tabularnewline
0.85 & 345.209413887714 & 17.9556540475195 \tabularnewline
0.86 & 351.236435365913 & 18.1042034969023 \tabularnewline
0.87 & 357.554493865929 & 18.3322392559093 \tabularnewline
0.88 & 364.236236901931 & 18.7380245148500 \tabularnewline
0.89 & 371.377506123452 & 19.3044030868982 \tabularnewline
0.9 & 379.092022466744 & 19.9725412318462 \tabularnewline
0.91 & 387.522949675739 & 20.7769014454246 \tabularnewline
0.92 & 396.84214627597 & 21.820438918701 \tabularnewline
0.93 & 407.179037744243 & 22.9547202652132 \tabularnewline
0.94 & 418.474410287488 & 23.4945759172465 \tabularnewline
0.95 & 430.420430143351 & 22.5850119078504 \tabularnewline
0.96 & 442.785926547856 & 20.321533677079 \tabularnewline
0.97 & 456.120248598907 & 18.7814607250954 \tabularnewline
0.98 & 471.706446004733 & 19.5791504429836 \tabularnewline
0.99 & 488.742896366826 & 17.7356842005808 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38857&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]30.9395134573875[/C][C]2.76287320910593[/C][/ROW]
[ROW][C]0.02[/C][C]33.4705738859233[/C][C]2.53628693759235[/C][/ROW]
[ROW][C]0.03[/C][C]35.552434239729[/C][C]2.41071395218385[/C][/ROW]
[ROW][C]0.04[/C][C]37.2273173239026[/C][C]2.4031533172280[/C][/ROW]
[ROW][C]0.05[/C][C]38.6956059928642[/C][C]2.52443183358963[/C][/ROW]
[ROW][C]0.06[/C][C]40.1083592909638[/C][C]2.88260343851918[/C][/ROW]
[ROW][C]0.07[/C][C]41.5783189453727[/C][C]3.4143093840581[/C][/ROW]
[ROW][C]0.08[/C][C]43.1628630188157[/C][C]3.94235644965103[/C][/ROW]
[ROW][C]0.09[/C][C]44.8561880206973[/C][C]4.34235931819169[/C][/ROW]
[ROW][C]0.1[/C][C]46.6162351174952[/C][C]4.60133926948337[/C][/ROW]
[ROW][C]0.11[/C][C]48.4034118970272[/C][C]4.79543757718503[/C][/ROW]
[ROW][C]0.12[/C][C]50.205365431767[/C][C]5.0314439632723[/C][/ROW]
[ROW][C]0.13[/C][C]52.0406208972924[/C][C]5.39004027435408[/C][/ROW]
[ROW][C]0.14[/C][C]53.947995229284[/C][C]5.90180599241251[/C][/ROW]
[ROW][C]0.15[/C][C]55.9722708613652[/C][C]6.55807649449368[/C][/ROW]
[ROW][C]0.16[/C][C]58.1530781148832[/C][C]7.3300240483163[/C][/ROW]
[ROW][C]0.17[/C][C]60.5186405626571[/C][C]8.17890306874057[/C][/ROW]
[ROW][C]0.18[/C][C]63.0828176166237[/C][C]9.05623267538513[/C][/ROW]
[ROW][C]0.19[/C][C]65.8435963188771[/C][C]9.90379352798756[/C][/ROW]
[ROW][C]0.2[/C][C]68.7824699056875[/C][C]10.6592955610076[/C][/ROW]
[ROW][C]0.21[/C][C]71.8652746602368[/C][C]11.2641016430669[/C][/ROW]
[ROW][C]0.22[/C][C]75.0452455529935[/C][C]11.6744808443598[/C][/ROW]
[ROW][C]0.23[/C][C]78.2684603907183[/C][C]11.8703879295606[/C][/ROW]
[ROW][C]0.24[/C][C]81.480994018454[/C][C]11.8617181643756[/C][/ROW]
[ROW][C]0.25[/C][C]84.6364220296742[/C][C]11.6877099311500[/C][/ROW]
[ROW][C]0.26[/C][C]87.702034129589[/C][C]11.4116186410156[/C][/ROW]
[ROW][C]0.27[/C][C]90.6623493258825[/C][C]11.1075550102692[/C][/ROW]
[ROW][C]0.28[/C][C]93.5192411409124[/C][C]10.8445082166482[/C][/ROW]
[ROW][C]0.29[/C][C]96.2889632475924[/C][C]10.6732163258266[/C][/ROW]
[ROW][C]0.3[/C][C]98.997241397442[/C][C]10.6187223593648[/C][/ROW]
[ROW][C]0.31[/C][C]101.674008474942[/C][C]10.6837345378902[/C][/ROW]
[ROW][C]0.32[/C][C]104.349162119405[/C][C]10.8576244311869[/C][/ROW]
[ROW][C]0.33[/C][C]107.050066770324[/C][C]11.1257656404606[/C][/ROW]
[ROW][C]0.34[/C][C]109.800747041448[/C][C]11.4769151052922[/C][/ROW]
[ROW][C]0.35[/C][C]112.622167269945[/C][C]11.9034942837437[/C][/ROW]
[ROW][C]0.36[/C][C]115.532836115083[/C][C]12.4004872030580[/C][/ROW]
[ROW][C]0.37[/C][C]118.549177250847[/C][C]12.9617878008308[/C][/ROW]
[ROW][C]0.38[/C][C]121.685489652011[/C][C]13.5778239075056[/C][/ROW]
[ROW][C]0.39[/C][C]124.953681698659[/C][C]14.2372072349047[/C][/ROW]
[ROW][C]0.4[/C][C]128.363163253902[/C][C]14.9269544505556[/C][/ROW]
[ROW][C]0.41[/C][C]131.921271316128[/C][C]15.6377483124527[/C][/ROW]
[ROW][C]0.42[/C][C]135.634416020291[/C][C]16.3672022122438[/C][/ROW]
[ROW][C]0.43[/C][C]139.509839793239[/C][C]17.1236141862697[/C][/ROW]
[ROW][C]0.44[/C][C]143.557580770825[/C][C]17.9247054890678[/C][/ROW]
[ROW][C]0.45[/C][C]147.792020768663[/C][C]18.7968308317082[/C][/ROW]
[ROW][C]0.46[/C][C]152.232354191382[/C][C]19.7635718362434[/C][/ROW]
[ROW][C]0.47[/C][C]156.901466811084[/C][C]20.8406269128185[/C][/ROW]
[ROW][C]0.48[/C][C]161.823033512360[/C][C]22.0250148260956[/C][/ROW]
[ROW][C]0.49[/C][C]167.017054854798[/C][C]23.2883562193190[/C][/ROW]
[ROW][C]0.5[/C][C]172.494457198237[/C][C]24.5755712016596[/C][/ROW]
[ROW][C]0.51[/C][C]178.251695110193[/C][C]25.8076428251277[/C][/ROW]
[ROW][C]0.52[/C][C]184.266459534595[/C][C]26.8906626327317[/C][/ROW]
[ROW][C]0.53[/C][C]190.495574880414[/C][C]27.7258795279942[/C][/ROW]
[ROW][C]0.54[/C][C]196.875937817473[/C][C]28.2264003729024[/C][/ROW]
[ROW][C]0.55[/C][C]203.328896713196[/C][C]28.3324477261055[/C][/ROW]
[ROW][C]0.56[/C][C]209.767814096192[/C][C]28.0246600980822[/C][/ROW]
[ROW][C]0.57[/C][C]216.107784743978[/C][C]27.3318352006348[/C][/ROW]
[ROW][C]0.58[/C][C]222.275776101633[/C][C]26.3290657040632[/C][/ROW]
[ROW][C]0.59[/C][C]228.219055936979[/C][C]25.1277643387092[/C][/ROW]
[ROW][C]0.6[/C][C]233.909899841488[/C][C]23.8549386239005[/C][/ROW]
[ROW][C]0.61[/C][C]239.345329448309[/C][C]22.6265475524445[/C][/ROW]
[ROW][C]0.62[/C][C]244.541905583139[/C][C]21.5255029982592[/C][/ROW]
[ROW][C]0.63[/C][C]249.527038890869[/C][C]20.5818905661773[/C][/ROW]
[ROW][C]0.64[/C][C]254.329388867258[/C][C]19.7754503538664[/C][/ROW]
[ROW][C]0.65[/C][C]258.971243724714[/C][C]19.0527388165297[/C][/ROW]
[ROW][C]0.66[/C][C]263.465096541424[/C][C]18.3521597183516[/C][/ROW]
[ROW][C]0.67[/C][C]267.815126221170[/C][C]17.6340542912954[/C][/ROW]
[ROW][C]0.68[/C][C]272.022486449051[/C][C]16.8955145283126[/C][/ROW]
[ROW][C]0.69[/C][C]276.091910876124[/C][C]16.1692662722266[/C][/ROW]
[ROW][C]0.7[/C][C]280.036753386990[/C][C]15.5100638401795[/C][/ROW]
[ROW][C]0.71[/C][C]283.880405273906[/C][C]14.9695515695304[/C][/ROW]
[ROW][C]0.72[/C][C]287.653754357654[/C][C]14.5755948510974[/C][/ROW]
[ROW][C]0.73[/C][C]291.390235098109[/C][C]14.3216259959639[/C][/ROW]
[ROW][C]0.74[/C][C]295.121196173967[/C][C]14.1760195053719[/C][/ROW]
[ROW][C]0.75[/C][C]298.874180232627[/C][C]14.1052208025017[/C][/ROW]
[ROW][C]0.76[/C][C]302.675237582543[/C][C]14.0962195591907[/C][/ROW]
[ROW][C]0.77[/C][C]306.554179253125[/C][C]14.1687933130909[/C][/ROW]
[ROW][C]0.78[/C][C]310.549713763319[/C][C]14.3680644813273[/C][/ROW]
[ROW][C]0.79[/C][C]314.710707486661[/C][C]14.7393435313396[/C][/ROW]
[ROW][C]0.8[/C][C]319.090982689868[/C][C]15.2930855492259[/C][/ROW]
[ROW][C]0.81[/C][C]323.738083637093[/C][C]15.9811969075407[/C][/ROW]
[ROW][C]0.82[/C][C]328.680378077081[/C][C]16.6967835425600[/C][/ROW]
[ROW][C]0.83[/C][C]333.919791828291[/C][C]17.3097492701686[/C][/ROW]
[ROW][C]0.84[/C][C]339.436892637198[/C][C]17.7280617812747[/C][/ROW]
[ROW][C]0.85[/C][C]345.209413887714[/C][C]17.9556540475195[/C][/ROW]
[ROW][C]0.86[/C][C]351.236435365913[/C][C]18.1042034969023[/C][/ROW]
[ROW][C]0.87[/C][C]357.554493865929[/C][C]18.3322392559093[/C][/ROW]
[ROW][C]0.88[/C][C]364.236236901931[/C][C]18.7380245148500[/C][/ROW]
[ROW][C]0.89[/C][C]371.377506123452[/C][C]19.3044030868982[/C][/ROW]
[ROW][C]0.9[/C][C]379.092022466744[/C][C]19.9725412318462[/C][/ROW]
[ROW][C]0.91[/C][C]387.522949675739[/C][C]20.7769014454246[/C][/ROW]
[ROW][C]0.92[/C][C]396.84214627597[/C][C]21.820438918701[/C][/ROW]
[ROW][C]0.93[/C][C]407.179037744243[/C][C]22.9547202652132[/C][/ROW]
[ROW][C]0.94[/C][C]418.474410287488[/C][C]23.4945759172465[/C][/ROW]
[ROW][C]0.95[/C][C]430.420430143351[/C][C]22.5850119078504[/C][/ROW]
[ROW][C]0.96[/C][C]442.785926547856[/C][C]20.321533677079[/C][/ROW]
[ROW][C]0.97[/C][C]456.120248598907[/C][C]18.7814607250954[/C][/ROW]
[ROW][C]0.98[/C][C]471.706446004733[/C][C]19.5791504429836[/C][/ROW]
[ROW][C]0.99[/C][C]488.742896366826[/C][C]17.7356842005808[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38857&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38857&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
0.0130.93951345738752.76287320910593
0.0233.47057388592332.53628693759235
0.0335.5524342397292.41071395218385
0.0437.22731732390262.4031533172280
0.0538.69560599286422.52443183358963
0.0640.10835929096382.88260343851918
0.0741.57831894537273.4143093840581
0.0843.16286301881573.94235644965103
0.0944.85618802069734.34235931819169
0.146.61623511749524.60133926948337
0.1148.40341189702724.79543757718503
0.1250.2053654317675.0314439632723
0.1352.04062089729245.39004027435408
0.1453.9479952292845.90180599241251
0.1555.97227086136526.55807649449368
0.1658.15307811488327.3300240483163
0.1760.51864056265718.17890306874057
0.1863.08281761662379.05623267538513
0.1965.84359631887719.90379352798756
0.268.782469905687510.6592955610076
0.2171.865274660236811.2641016430669
0.2275.045245552993511.6744808443598
0.2378.268460390718311.8703879295606
0.2481.48099401845411.8617181643756
0.2584.636422029674211.6877099311500
0.2687.70203412958911.4116186410156
0.2790.662349325882511.1075550102692
0.2893.519241140912410.8445082166482
0.2996.288963247592410.6732163258266
0.398.99724139744210.6187223593648
0.31101.67400847494210.6837345378902
0.32104.34916211940510.8576244311869
0.33107.05006677032411.1257656404606
0.34109.80074704144811.4769151052922
0.35112.62216726994511.9034942837437
0.36115.53283611508312.4004872030580
0.37118.54917725084712.9617878008308
0.38121.68548965201113.5778239075056
0.39124.95368169865914.2372072349047
0.4128.36316325390214.9269544505556
0.41131.92127131612815.6377483124527
0.42135.63441602029116.3672022122438
0.43139.50983979323917.1236141862697
0.44143.55758077082517.9247054890678
0.45147.79202076866318.7968308317082
0.46152.23235419138219.7635718362434
0.47156.90146681108420.8406269128185
0.48161.82303351236022.0250148260956
0.49167.01705485479823.2883562193190
0.5172.49445719823724.5755712016596
0.51178.25169511019325.8076428251277
0.52184.26645953459526.8906626327317
0.53190.49557488041427.7258795279942
0.54196.87593781747328.2264003729024
0.55203.32889671319628.3324477261055
0.56209.76781409619228.0246600980822
0.57216.10778474397827.3318352006348
0.58222.27577610163326.3290657040632
0.59228.21905593697925.1277643387092
0.6233.90989984148823.8549386239005
0.61239.34532944830922.6265475524445
0.62244.54190558313921.5255029982592
0.63249.52703889086920.5818905661773
0.64254.32938886725819.7754503538664
0.65258.97124372471419.0527388165297
0.66263.46509654142418.3521597183516
0.67267.81512622117017.6340542912954
0.68272.02248644905116.8955145283126
0.69276.09191087612416.1692662722266
0.7280.03675338699015.5100638401795
0.71283.88040527390614.9695515695304
0.72287.65375435765414.5755948510974
0.73291.39023509810914.3216259959639
0.74295.12119617396714.1760195053719
0.75298.87418023262714.1052208025017
0.76302.67523758254314.0962195591907
0.77306.55417925312514.1687933130909
0.78310.54971376331914.3680644813273
0.79314.71070748666114.7393435313396
0.8319.09098268986815.2930855492259
0.81323.73808363709315.9811969075407
0.82328.68037807708116.6967835425600
0.83333.91979182829117.3097492701686
0.84339.43689263719817.7280617812747
0.85345.20941388771417.9556540475195
0.86351.23643536591318.1042034969023
0.87357.55449386592918.3322392559093
0.88364.23623690193118.7380245148500
0.89371.37750612345219.3044030868982
0.9379.09202246674419.9725412318462
0.91387.52294967573920.7769014454246
0.92396.8421462759721.820438918701
0.93407.17903774424322.9547202652132
0.94418.47441028748823.4945759172465
0.95430.42043014335122.5850119078504
0.96442.78592654785620.321533677079
0.97456.12024859890718.7814607250954
0.98471.70644600473319.5791504429836
0.99488.74289636682617.7356842005808


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')