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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 computationFri, 26 Feb 2016 22:50:51 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Feb/26/t1456527127h6k3s5b5dw30ucx.htm/, Retrieved Sun, 26 Apr 2026 11:20:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292811, Retrieved Sun, 26 Apr 2026 11:20:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact196

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] [4.4] [2016-02-26 22:50:51] [50e1ac7d003038f762f5217b1e15faa4] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
16489042
16495231
16501683
16506782
16513615
16520661
16528400
16538542
16554596
16562317
16568499
16574989
16578604
16585167
16588947
16593973
16599333
16606135
16611675
16624215
16638805
16648268
16654119
16655799
16661142
16669012
16673931
16676905
16681513
16686550
16690580
16703472
16719078
16725328
16729674
16730348
16731280
16735690
16737631
16739764
16742830
16744696
16746558
16758167
16772610
16778726
16781377
16779575
16781367
16783870
16784986
16785783
16788992
16792122
16795289
16805879
16820076
16825762
16829252
16829289
16833919
16840299
16844980
16849473
16853737
16857811
16859859
16870851
16887455
16895020
16900158
16900726
16903174
16907715
16910467
16913766
16917152
16922460
16924725
16937725
16957605
16967706
16976281
16980049
16980049

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'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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292811&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292811&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292811&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0116491903.132966393.70374693719
0.0216496562.11446887547.39221982412
0.0316501861.76939059265.9195126671
0.0416507468.556800611398.1977983227
0.0516513452.306449513833.9017854026
0.0616519903.687973816339.6734304569
0.0716526809.824091518584.7568548206
0.0816534046.447224420238.7397016431
0.0916541413.163067421116.095009864
0.116548687.658017221219.5738672077
0.1116555680.863318120731.8748186705
0.1216562276.335124719965.5676281697
0.1316568444.842206819226.366028601
0.1416574235.562431818772.1247063529
0.1516579752.386779418765.5335533638
0.1616585125.25487519245.8739608832
0.1716590483.800834320177.9933669774
0.1816595936.907075121419.9276839813
0.1916601559.153915622841.162951698
0.216607384.059491424241.4286141761
0.2116613403.781747525465.2440752878
0.2216619574.782066526378.6101073392
0.2316625828.422441526904.339124384
0.2416632084.688864226995.3539523437
0.2516638266.587292326754.1594561038
0.2616644312.60395626221.3186515507
0.2716650185.088416925611.6563703402
0.2816655873.370939125008.8552307455
0.2916661391.566332724541.2743442186
0.316666772.031518924279.2035601291
0.3116672056.123650924252.831888059
0.3216677284.182052424400.223132158
0.3316682486.573991624659.5129859385
0.3416687677.293892124929.9399326222
0.3516692851.079857225075.4698691079
0.3616697984.38566825001.1507439407
0.3716703039.891339824679.6166954582
0.3816707973.633850624059.3301831881
0.3916712743.388399223207.1731397844
0.416717316.719719822179.0862422004
0.4116721677.205278721084.3572982863
0.4216725827.698694320030.217936116
0.4316729790.078516119174.914727876
0.4416733601.594767118554.2968532115
0.4516737308.550338318215.0428956541
0.4616740958.522186118150.3715603593
0.4716744592.563733618298.038061397
0.4816748238.80667118556.6993156511
0.4916751908.611939518812.0357057182
0.516755595.955595818952.4870344539
0.5116759280.152471918910.4146573506
0.5216762931.415485718649.5471617296
0.5316766518.225785718186.4172150613
0.5416770015.14516717572.568664081
0.5516773409.606253616886.4779857981
0.5616776706.391895216287.4012822232
0.5716779928.934243515805.1946438363
0.5816783117.148960815640.414757817
0.5916786322.16168215769.9332744352
0.616789598.863167816225.2758680159
0.6116792997.63982216942.8689017372
0.6216796556.790766417824.0193665913
0.6316800297.027066218752.3663064002
0.6416804219.068117119579.3673396416
0.6516808304.771189420229.2425597357
0.6616812521.563756220659.0792509431
0.6716816829.330805220827.4673671464
0.6816821188.470062420769.2366006515
0.6916825567.651646620543.2579172639
0.716829949.917757620248.9518789625
0.7116834336.071746519962.7169867795
0.7216838744.731718219800.4838832768
0.7316843208.870682619825.7717160315
0.7416847769.100535420070.7336029492
0.7516852464.413252120494.5333141341
0.7616857321.617910521027.2313030864
0.7716862345.284103521547.9817460771
0.7816867510.458341621901.8181216959
0.7916872760.470198721936.2788624919
0.816878011.500299421546.3349991831
0.8116883164.161181720662.2145390061
0.8216888120.442871919352.4971932051
0.8316892802.677738717719.3123094627
0.8416897170.500458715941.1602459479
0.8516901232.635426114250.6860922141
0.8616905052.516784512858.489676609
0.8716908749.098282311929.6200352164
0.8816912494.967700511612.5716265311
0.8916916511.490969712019.8423084728
0.916921055.221056613193.2178794512
0.9116926384.292039215023.2200312702
0.9216932694.241551317218.0530198167
0.9316940025.944282219167.5828671447
0.9416948173.208066620085.3722230278
0.9516956639.528348219298.7079182388
0.9616964689.626849516537.0496837904
0.9716971504.523865712177.170951248
0.9816976409.60611147132.26403142643
0.9916979137.37691882622.56358017142

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 16491903.13296 & 6393.70374693719 \tabularnewline
0.02 & 16496562.1144688 & 7547.39221982412 \tabularnewline
0.03 & 16501861.7693905 & 9265.9195126671 \tabularnewline
0.04 & 16507468.5568006 & 11398.1977983227 \tabularnewline
0.05 & 16513452.3064495 & 13833.9017854026 \tabularnewline
0.06 & 16519903.6879738 & 16339.6734304569 \tabularnewline
0.07 & 16526809.8240915 & 18584.7568548206 \tabularnewline
0.08 & 16534046.4472244 & 20238.7397016431 \tabularnewline
0.09 & 16541413.1630674 & 21116.095009864 \tabularnewline
0.1 & 16548687.6580172 & 21219.5738672077 \tabularnewline
0.11 & 16555680.8633181 & 20731.8748186705 \tabularnewline
0.12 & 16562276.3351247 & 19965.5676281697 \tabularnewline
0.13 & 16568444.8422068 & 19226.366028601 \tabularnewline
0.14 & 16574235.5624318 & 18772.1247063529 \tabularnewline
0.15 & 16579752.3867794 & 18765.5335533638 \tabularnewline
0.16 & 16585125.254875 & 19245.8739608832 \tabularnewline
0.17 & 16590483.8008343 & 20177.9933669774 \tabularnewline
0.18 & 16595936.9070751 & 21419.9276839813 \tabularnewline
0.19 & 16601559.1539156 & 22841.162951698 \tabularnewline
0.2 & 16607384.0594914 & 24241.4286141761 \tabularnewline
0.21 & 16613403.7817475 & 25465.2440752878 \tabularnewline
0.22 & 16619574.7820665 & 26378.6101073392 \tabularnewline
0.23 & 16625828.4224415 & 26904.339124384 \tabularnewline
0.24 & 16632084.6888642 & 26995.3539523437 \tabularnewline
0.25 & 16638266.5872923 & 26754.1594561038 \tabularnewline
0.26 & 16644312.603956 & 26221.3186515507 \tabularnewline
0.27 & 16650185.0884169 & 25611.6563703402 \tabularnewline
0.28 & 16655873.3709391 & 25008.8552307455 \tabularnewline
0.29 & 16661391.5663327 & 24541.2743442186 \tabularnewline
0.3 & 16666772.0315189 & 24279.2035601291 \tabularnewline
0.31 & 16672056.1236509 & 24252.831888059 \tabularnewline
0.32 & 16677284.1820524 & 24400.223132158 \tabularnewline
0.33 & 16682486.5739916 & 24659.5129859385 \tabularnewline
0.34 & 16687677.2938921 & 24929.9399326222 \tabularnewline
0.35 & 16692851.0798572 & 25075.4698691079 \tabularnewline
0.36 & 16697984.385668 & 25001.1507439407 \tabularnewline
0.37 & 16703039.8913398 & 24679.6166954582 \tabularnewline
0.38 & 16707973.6338506 & 24059.3301831881 \tabularnewline
0.39 & 16712743.3883992 & 23207.1731397844 \tabularnewline
0.4 & 16717316.7197198 & 22179.0862422004 \tabularnewline
0.41 & 16721677.2052787 & 21084.3572982863 \tabularnewline
0.42 & 16725827.6986943 & 20030.217936116 \tabularnewline
0.43 & 16729790.0785161 & 19174.914727876 \tabularnewline
0.44 & 16733601.5947671 & 18554.2968532115 \tabularnewline
0.45 & 16737308.5503383 & 18215.0428956541 \tabularnewline
0.46 & 16740958.5221861 & 18150.3715603593 \tabularnewline
0.47 & 16744592.5637336 & 18298.038061397 \tabularnewline
0.48 & 16748238.806671 & 18556.6993156511 \tabularnewline
0.49 & 16751908.6119395 & 18812.0357057182 \tabularnewline
0.5 & 16755595.9555958 & 18952.4870344539 \tabularnewline
0.51 & 16759280.1524719 & 18910.4146573506 \tabularnewline
0.52 & 16762931.4154857 & 18649.5471617296 \tabularnewline
0.53 & 16766518.2257857 & 18186.4172150613 \tabularnewline
0.54 & 16770015.145167 & 17572.568664081 \tabularnewline
0.55 & 16773409.6062536 & 16886.4779857981 \tabularnewline
0.56 & 16776706.3918952 & 16287.4012822232 \tabularnewline
0.57 & 16779928.9342435 & 15805.1946438363 \tabularnewline
0.58 & 16783117.1489608 & 15640.414757817 \tabularnewline
0.59 & 16786322.161682 & 15769.9332744352 \tabularnewline
0.6 & 16789598.8631678 & 16225.2758680159 \tabularnewline
0.61 & 16792997.639822 & 16942.8689017372 \tabularnewline
0.62 & 16796556.7907664 & 17824.0193665913 \tabularnewline
0.63 & 16800297.0270662 & 18752.3663064002 \tabularnewline
0.64 & 16804219.0681171 & 19579.3673396416 \tabularnewline
0.65 & 16808304.7711894 & 20229.2425597357 \tabularnewline
0.66 & 16812521.5637562 & 20659.0792509431 \tabularnewline
0.67 & 16816829.3308052 & 20827.4673671464 \tabularnewline
0.68 & 16821188.4700624 & 20769.2366006515 \tabularnewline
0.69 & 16825567.6516466 & 20543.2579172639 \tabularnewline
0.7 & 16829949.9177576 & 20248.9518789625 \tabularnewline
0.71 & 16834336.0717465 & 19962.7169867795 \tabularnewline
0.72 & 16838744.7317182 & 19800.4838832768 \tabularnewline
0.73 & 16843208.8706826 & 19825.7717160315 \tabularnewline
0.74 & 16847769.1005354 & 20070.7336029492 \tabularnewline
0.75 & 16852464.4132521 & 20494.5333141341 \tabularnewline
0.76 & 16857321.6179105 & 21027.2313030864 \tabularnewline
0.77 & 16862345.2841035 & 21547.9817460771 \tabularnewline
0.78 & 16867510.4583416 & 21901.8181216959 \tabularnewline
0.79 & 16872760.4701987 & 21936.2788624919 \tabularnewline
0.8 & 16878011.5002994 & 21546.3349991831 \tabularnewline
0.81 & 16883164.1611817 & 20662.2145390061 \tabularnewline
0.82 & 16888120.4428719 & 19352.4971932051 \tabularnewline
0.83 & 16892802.6777387 & 17719.3123094627 \tabularnewline
0.84 & 16897170.5004587 & 15941.1602459479 \tabularnewline
0.85 & 16901232.6354261 & 14250.6860922141 \tabularnewline
0.86 & 16905052.5167845 & 12858.489676609 \tabularnewline
0.87 & 16908749.0982823 & 11929.6200352164 \tabularnewline
0.88 & 16912494.9677005 & 11612.5716265311 \tabularnewline
0.89 & 16916511.4909697 & 12019.8423084728 \tabularnewline
0.9 & 16921055.2210566 & 13193.2178794512 \tabularnewline
0.91 & 16926384.2920392 & 15023.2200312702 \tabularnewline
0.92 & 16932694.2415513 & 17218.0530198167 \tabularnewline
0.93 & 16940025.9442822 & 19167.5828671447 \tabularnewline
0.94 & 16948173.2080666 & 20085.3722230278 \tabularnewline
0.95 & 16956639.5283482 & 19298.7079182388 \tabularnewline
0.96 & 16964689.6268495 & 16537.0496837904 \tabularnewline
0.97 & 16971504.5238657 & 12177.170951248 \tabularnewline
0.98 & 16976409.6061114 & 7132.26403142643 \tabularnewline
0.99 & 16979137.3769188 & 2622.56358017142 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292811&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]16491903.13296[/C][C]6393.70374693719[/C][/ROW]
[ROW][C]0.02[/C][C]16496562.1144688[/C][C]7547.39221982412[/C][/ROW]
[ROW][C]0.03[/C][C]16501861.7693905[/C][C]9265.9195126671[/C][/ROW]
[ROW][C]0.04[/C][C]16507468.5568006[/C][C]11398.1977983227[/C][/ROW]
[ROW][C]0.05[/C][C]16513452.3064495[/C][C]13833.9017854026[/C][/ROW]
[ROW][C]0.06[/C][C]16519903.6879738[/C][C]16339.6734304569[/C][/ROW]
[ROW][C]0.07[/C][C]16526809.8240915[/C][C]18584.7568548206[/C][/ROW]
[ROW][C]0.08[/C][C]16534046.4472244[/C][C]20238.7397016431[/C][/ROW]
[ROW][C]0.09[/C][C]16541413.1630674[/C][C]21116.095009864[/C][/ROW]
[ROW][C]0.1[/C][C]16548687.6580172[/C][C]21219.5738672077[/C][/ROW]
[ROW][C]0.11[/C][C]16555680.8633181[/C][C]20731.8748186705[/C][/ROW]
[ROW][C]0.12[/C][C]16562276.3351247[/C][C]19965.5676281697[/C][/ROW]
[ROW][C]0.13[/C][C]16568444.8422068[/C][C]19226.366028601[/C][/ROW]
[ROW][C]0.14[/C][C]16574235.5624318[/C][C]18772.1247063529[/C][/ROW]
[ROW][C]0.15[/C][C]16579752.3867794[/C][C]18765.5335533638[/C][/ROW]
[ROW][C]0.16[/C][C]16585125.254875[/C][C]19245.8739608832[/C][/ROW]
[ROW][C]0.17[/C][C]16590483.8008343[/C][C]20177.9933669774[/C][/ROW]
[ROW][C]0.18[/C][C]16595936.9070751[/C][C]21419.9276839813[/C][/ROW]
[ROW][C]0.19[/C][C]16601559.1539156[/C][C]22841.162951698[/C][/ROW]
[ROW][C]0.2[/C][C]16607384.0594914[/C][C]24241.4286141761[/C][/ROW]
[ROW][C]0.21[/C][C]16613403.7817475[/C][C]25465.2440752878[/C][/ROW]
[ROW][C]0.22[/C][C]16619574.7820665[/C][C]26378.6101073392[/C][/ROW]
[ROW][C]0.23[/C][C]16625828.4224415[/C][C]26904.339124384[/C][/ROW]
[ROW][C]0.24[/C][C]16632084.6888642[/C][C]26995.3539523437[/C][/ROW]
[ROW][C]0.25[/C][C]16638266.5872923[/C][C]26754.1594561038[/C][/ROW]
[ROW][C]0.26[/C][C]16644312.603956[/C][C]26221.3186515507[/C][/ROW]
[ROW][C]0.27[/C][C]16650185.0884169[/C][C]25611.6563703402[/C][/ROW]
[ROW][C]0.28[/C][C]16655873.3709391[/C][C]25008.8552307455[/C][/ROW]
[ROW][C]0.29[/C][C]16661391.5663327[/C][C]24541.2743442186[/C][/ROW]
[ROW][C]0.3[/C][C]16666772.0315189[/C][C]24279.2035601291[/C][/ROW]
[ROW][C]0.31[/C][C]16672056.1236509[/C][C]24252.831888059[/C][/ROW]
[ROW][C]0.32[/C][C]16677284.1820524[/C][C]24400.223132158[/C][/ROW]
[ROW][C]0.33[/C][C]16682486.5739916[/C][C]24659.5129859385[/C][/ROW]
[ROW][C]0.34[/C][C]16687677.2938921[/C][C]24929.9399326222[/C][/ROW]
[ROW][C]0.35[/C][C]16692851.0798572[/C][C]25075.4698691079[/C][/ROW]
[ROW][C]0.36[/C][C]16697984.385668[/C][C]25001.1507439407[/C][/ROW]
[ROW][C]0.37[/C][C]16703039.8913398[/C][C]24679.6166954582[/C][/ROW]
[ROW][C]0.38[/C][C]16707973.6338506[/C][C]24059.3301831881[/C][/ROW]
[ROW][C]0.39[/C][C]16712743.3883992[/C][C]23207.1731397844[/C][/ROW]
[ROW][C]0.4[/C][C]16717316.7197198[/C][C]22179.0862422004[/C][/ROW]
[ROW][C]0.41[/C][C]16721677.2052787[/C][C]21084.3572982863[/C][/ROW]
[ROW][C]0.42[/C][C]16725827.6986943[/C][C]20030.217936116[/C][/ROW]
[ROW][C]0.43[/C][C]16729790.0785161[/C][C]19174.914727876[/C][/ROW]
[ROW][C]0.44[/C][C]16733601.5947671[/C][C]18554.2968532115[/C][/ROW]
[ROW][C]0.45[/C][C]16737308.5503383[/C][C]18215.0428956541[/C][/ROW]
[ROW][C]0.46[/C][C]16740958.5221861[/C][C]18150.3715603593[/C][/ROW]
[ROW][C]0.47[/C][C]16744592.5637336[/C][C]18298.038061397[/C][/ROW]
[ROW][C]0.48[/C][C]16748238.806671[/C][C]18556.6993156511[/C][/ROW]
[ROW][C]0.49[/C][C]16751908.6119395[/C][C]18812.0357057182[/C][/ROW]
[ROW][C]0.5[/C][C]16755595.9555958[/C][C]18952.4870344539[/C][/ROW]
[ROW][C]0.51[/C][C]16759280.1524719[/C][C]18910.4146573506[/C][/ROW]
[ROW][C]0.52[/C][C]16762931.4154857[/C][C]18649.5471617296[/C][/ROW]
[ROW][C]0.53[/C][C]16766518.2257857[/C][C]18186.4172150613[/C][/ROW]
[ROW][C]0.54[/C][C]16770015.145167[/C][C]17572.568664081[/C][/ROW]
[ROW][C]0.55[/C][C]16773409.6062536[/C][C]16886.4779857981[/C][/ROW]
[ROW][C]0.56[/C][C]16776706.3918952[/C][C]16287.4012822232[/C][/ROW]
[ROW][C]0.57[/C][C]16779928.9342435[/C][C]15805.1946438363[/C][/ROW]
[ROW][C]0.58[/C][C]16783117.1489608[/C][C]15640.414757817[/C][/ROW]
[ROW][C]0.59[/C][C]16786322.161682[/C][C]15769.9332744352[/C][/ROW]
[ROW][C]0.6[/C][C]16789598.8631678[/C][C]16225.2758680159[/C][/ROW]
[ROW][C]0.61[/C][C]16792997.639822[/C][C]16942.8689017372[/C][/ROW]
[ROW][C]0.62[/C][C]16796556.7907664[/C][C]17824.0193665913[/C][/ROW]
[ROW][C]0.63[/C][C]16800297.0270662[/C][C]18752.3663064002[/C][/ROW]
[ROW][C]0.64[/C][C]16804219.0681171[/C][C]19579.3673396416[/C][/ROW]
[ROW][C]0.65[/C][C]16808304.7711894[/C][C]20229.2425597357[/C][/ROW]
[ROW][C]0.66[/C][C]16812521.5637562[/C][C]20659.0792509431[/C][/ROW]
[ROW][C]0.67[/C][C]16816829.3308052[/C][C]20827.4673671464[/C][/ROW]
[ROW][C]0.68[/C][C]16821188.4700624[/C][C]20769.2366006515[/C][/ROW]
[ROW][C]0.69[/C][C]16825567.6516466[/C][C]20543.2579172639[/C][/ROW]
[ROW][C]0.7[/C][C]16829949.9177576[/C][C]20248.9518789625[/C][/ROW]
[ROW][C]0.71[/C][C]16834336.0717465[/C][C]19962.7169867795[/C][/ROW]
[ROW][C]0.72[/C][C]16838744.7317182[/C][C]19800.4838832768[/C][/ROW]
[ROW][C]0.73[/C][C]16843208.8706826[/C][C]19825.7717160315[/C][/ROW]
[ROW][C]0.74[/C][C]16847769.1005354[/C][C]20070.7336029492[/C][/ROW]
[ROW][C]0.75[/C][C]16852464.4132521[/C][C]20494.5333141341[/C][/ROW]
[ROW][C]0.76[/C][C]16857321.6179105[/C][C]21027.2313030864[/C][/ROW]
[ROW][C]0.77[/C][C]16862345.2841035[/C][C]21547.9817460771[/C][/ROW]
[ROW][C]0.78[/C][C]16867510.4583416[/C][C]21901.8181216959[/C][/ROW]
[ROW][C]0.79[/C][C]16872760.4701987[/C][C]21936.2788624919[/C][/ROW]
[ROW][C]0.8[/C][C]16878011.5002994[/C][C]21546.3349991831[/C][/ROW]
[ROW][C]0.81[/C][C]16883164.1611817[/C][C]20662.2145390061[/C][/ROW]
[ROW][C]0.82[/C][C]16888120.4428719[/C][C]19352.4971932051[/C][/ROW]
[ROW][C]0.83[/C][C]16892802.6777387[/C][C]17719.3123094627[/C][/ROW]
[ROW][C]0.84[/C][C]16897170.5004587[/C][C]15941.1602459479[/C][/ROW]
[ROW][C]0.85[/C][C]16901232.6354261[/C][C]14250.6860922141[/C][/ROW]
[ROW][C]0.86[/C][C]16905052.5167845[/C][C]12858.489676609[/C][/ROW]
[ROW][C]0.87[/C][C]16908749.0982823[/C][C]11929.6200352164[/C][/ROW]
[ROW][C]0.88[/C][C]16912494.9677005[/C][C]11612.5716265311[/C][/ROW]
[ROW][C]0.89[/C][C]16916511.4909697[/C][C]12019.8423084728[/C][/ROW]
[ROW][C]0.9[/C][C]16921055.2210566[/C][C]13193.2178794512[/C][/ROW]
[ROW][C]0.91[/C][C]16926384.2920392[/C][C]15023.2200312702[/C][/ROW]
[ROW][C]0.92[/C][C]16932694.2415513[/C][C]17218.0530198167[/C][/ROW]
[ROW][C]0.93[/C][C]16940025.9442822[/C][C]19167.5828671447[/C][/ROW]
[ROW][C]0.94[/C][C]16948173.2080666[/C][C]20085.3722230278[/C][/ROW]
[ROW][C]0.95[/C][C]16956639.5283482[/C][C]19298.7079182388[/C][/ROW]
[ROW][C]0.96[/C][C]16964689.6268495[/C][C]16537.0496837904[/C][/ROW]
[ROW][C]0.97[/C][C]16971504.5238657[/C][C]12177.170951248[/C][/ROW]
[ROW][C]0.98[/C][C]16976409.6061114[/C][C]7132.26403142643[/C][/ROW]
[ROW][C]0.99[/C][C]16979137.3769188[/C][C]2622.56358017142[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292811&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292811&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
0.0116491903.132966393.70374693719
0.0216496562.11446887547.39221982412
0.0316501861.76939059265.9195126671
0.0416507468.556800611398.1977983227
0.0516513452.306449513833.9017854026
0.0616519903.687973816339.6734304569
0.0716526809.824091518584.7568548206
0.0816534046.447224420238.7397016431
0.0916541413.163067421116.095009864
0.116548687.658017221219.5738672077
0.1116555680.863318120731.8748186705
0.1216562276.335124719965.5676281697
0.1316568444.842206819226.366028601
0.1416574235.562431818772.1247063529
0.1516579752.386779418765.5335533638
0.1616585125.25487519245.8739608832
0.1716590483.800834320177.9933669774
0.1816595936.907075121419.9276839813
0.1916601559.153915622841.162951698
0.216607384.059491424241.4286141761
0.2116613403.781747525465.2440752878
0.2216619574.782066526378.6101073392
0.2316625828.422441526904.339124384
0.2416632084.688864226995.3539523437
0.2516638266.587292326754.1594561038
0.2616644312.60395626221.3186515507
0.2716650185.088416925611.6563703402
0.2816655873.370939125008.8552307455
0.2916661391.566332724541.2743442186
0.316666772.031518924279.2035601291
0.3116672056.123650924252.831888059
0.3216677284.182052424400.223132158
0.3316682486.573991624659.5129859385
0.3416687677.293892124929.9399326222
0.3516692851.079857225075.4698691079
0.3616697984.38566825001.1507439407
0.3716703039.891339824679.6166954582
0.3816707973.633850624059.3301831881
0.3916712743.388399223207.1731397844
0.416717316.719719822179.0862422004
0.4116721677.205278721084.3572982863
0.4216725827.698694320030.217936116
0.4316729790.078516119174.914727876
0.4416733601.594767118554.2968532115
0.4516737308.550338318215.0428956541
0.4616740958.522186118150.3715603593
0.4716744592.563733618298.038061397
0.4816748238.80667118556.6993156511
0.4916751908.611939518812.0357057182
0.516755595.955595818952.4870344539
0.5116759280.152471918910.4146573506
0.5216762931.415485718649.5471617296
0.5316766518.225785718186.4172150613
0.5416770015.14516717572.568664081
0.5516773409.606253616886.4779857981
0.5616776706.391895216287.4012822232
0.5716779928.934243515805.1946438363
0.5816783117.148960815640.414757817
0.5916786322.16168215769.9332744352
0.616789598.863167816225.2758680159
0.6116792997.63982216942.8689017372
0.6216796556.790766417824.0193665913
0.6316800297.027066218752.3663064002
0.6416804219.068117119579.3673396416
0.6516808304.771189420229.2425597357
0.6616812521.563756220659.0792509431
0.6716816829.330805220827.4673671464
0.6816821188.470062420769.2366006515
0.6916825567.651646620543.2579172639
0.716829949.917757620248.9518789625
0.7116834336.071746519962.7169867795
0.7216838744.731718219800.4838832768
0.7316843208.870682619825.7717160315
0.7416847769.100535420070.7336029492
0.7516852464.413252120494.5333141341
0.7616857321.617910521027.2313030864
0.7716862345.284103521547.9817460771
0.7816867510.458341621901.8181216959
0.7916872760.470198721936.2788624919
0.816878011.500299421546.3349991831
0.8116883164.161181720662.2145390061
0.8216888120.442871919352.4971932051
0.8316892802.677738717719.3123094627
0.8416897170.500458715941.1602459479
0.8516901232.635426114250.6860922141
0.8616905052.516784512858.489676609
0.8716908749.098282311929.6200352164
0.8816912494.967700511612.5716265311
0.8916916511.490969712019.8423084728
0.916921055.221056613193.2178794512
0.9116926384.292039215023.2200312702
0.9216932694.241551317218.0530198167
0.9316940025.944282219167.5828671447
0.9416948173.208066620085.3722230278
0.9516956639.528348219298.7079182388
0.9616964689.626849516537.0496837904
0.9716971504.523865712177.170951248
0.9816976409.60611147132.26403142643
0.9916979137.37691882622.56358017142


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):
par3 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')