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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 computationSat, 10 Oct 2015 12:58:53 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Oct/10/t1444478385tuf3qmqd0dg8ei4.htm/, Retrieved Tue, 14 May 2024 14:41:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=282168, Retrieved Tue, 14 May 2024 14:41:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact108

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] [] [2015-10-02 20:20:26] [102949d3707834b83d58a354234a805f]
- RMP     [Harrell-Davis Quantiles] [] [2015-10-10 11:58:53] [7e1e09e1787c74b32ad6066a9a323b17] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
92.44
94.36
93.42
92.97
94.83
91.47
88.42
86.36
86.01
87.87
89.81
88.41
86.33
89.64
89.53
88.3
99.49
98.81
90.97
92.58
92.98
95
92.47
88.65
84.81
88.6
89.31
92.34
91.53
96.95
95.44
89.59
89.86
91.66
92.7
90.54
86.17
89.15
89.73
91.07
93.36
96.27
95
94.72
97.16
100.92
98.66
95.87
94.6
98.41
98.05
99.82
106.96
107.45
100.25
99.28
101.38
101
97.43
95.38
95.17
94.13
96.43
105.38
98.39
99.8
94.43
90.16
85.49
90.57
88.22
89.66

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282168&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282168&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282168&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0185.02710928227270.613176140360043
0.0285.34757858990480.546369999367178
0.0385.66987121345650.504453849162151
0.0485.95796970362710.514687365822565
0.0586.22174682738170.589155169534514
0.0686.48199605479750.701446449144407
0.0786.75147175685180.806471598681364
0.0887.03038661734880.868402717171927
0.0987.30962339881120.872281192874702
0.187.5766878107240.824032782754943
0.1187.82110174302580.743694043618729
0.1288.03745224650610.655646481740784
0.1388.22580411849870.580371486673749
0.1488.3902428424650.52903729753344
0.1588.53668853084950.502491608205195
0.1688.67093221803490.493827059546025
0.1788.79740247016760.493591877985231
0.1888.91874618706570.493823737163211
0.1989.03603943007330.489726448430684
0.289.14934528550620.479996982736442
0.2189.25835564361240.465980041106335
0.2289.36293103833840.450928930842336
0.2389.46344173767340.43909118892354
0.2489.56088894732460.434577750852978
0.2589.65683751667340.440357679224636
0.2689.7532200825690.45766805746044
0.2789.85208074117980.485879170621251
0.2889.95531954892040.523046671364134
0.2990.06448329847380.566075627855251
0.390.18062851029080.612218766119385
0.3190.30426380545480.658323909743857
0.3290.43536383297570.701794238447764
0.3390.57343736317860.740915471855223
0.3490.71762837238960.774159441460684
0.3590.86683017824950.800749219329235
0.3691.01979738925840.8203317278507
0.3791.1752466466610.833010664142973
0.3891.33194293174170.839051373436819
0.3991.48877211094550.839433724187609
0.491.64480168497470.834716422266098
0.4191.79933056853730.826693225698327
0.4291.95192609142840.816372077110914
0.4392.10244365677720.805812027618248
0.4492.25102300058330.796554690619197
0.4592.39805573083260.790213421477156
0.4692.54412203816390.787789899649986
0.4792.68989962928530.790077456885489
0.4892.83605386419910.796298140546692
0.4992.9831232836660.805438450678102
0.593.13141777941740.815681760036473
0.5193.28094662257310.824914438896218
0.5293.43139016058930.830797958216855
0.5393.58212272259480.831493389710806
0.5493.73228628842730.825705801791206
0.5593.88090630618890.81306893751671
0.5694.02703423844630.794117047808795
0.5794.16989720713220.770233011096083
0.5894.30903414371790.743612486397391
0.5994.44440010876220.717058374204672
0.694.57642529109420.693698457535968
0.6194.70602160221120.676296886517862
0.6294.83453659561240.667507861204029
0.6394.96366064617080.669153641640841
0.6495.09529819610970.681853948793582
0.6595.23141701825470.705426688932051
0.6695.37389074823430.738495909155891
0.6795.52434947449840.778936821466753
0.6895.68405117558820.824145730817571
0.6995.85378364591240.870997044680029
0.796.03380283757760.916584905364006
0.7196.22381001654080.958029842612056
0.7296.42296753092210.99265616052632
0.7396.62995173687841.01848059975006
0.7496.843041470851.03384350599209
0.7597.0602403331861.0376988501782
0.7697.27942938877611.02987267444049
0.7797.49854244834891.01104280483365
0.7897.7157490443610.982746273903345
0.7997.92962293276620.947276106437311
0.898.1392707282660.907686224412422
0.8198.34440055190610.867122212013044
0.8298.54532608472190.828632730561331
0.8398.74292396600040.794377168260672
0.8498.93858461383150.765719541040789
0.8599.13421226250980.743613161892683
0.8699.33234396874970.728944184101046
0.8799.53649025119660.723499746541239
0.8899.75187543687840.7303944506807
0.8999.98685277536750.755809138174878
0.9100.2552460330570.811666197235455
0.91100.5794181697350.920829933727663
0.92100.9926456354221.11726018785003
0.93101.5374684594361.42798452576399
0.94102.2553277159241.83583775053546
0.95103.1646581864672.2442621161625
0.96104.2321916691942.47575963450663
0.97105.3536773514612.33781971771752
0.98106.3656152600931.76561618724897
0.99107.0973508320220.97810071970385

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 85.0271092822727 & 0.613176140360043 \tabularnewline
0.02 & 85.3475785899048 & 0.546369999367178 \tabularnewline
0.03 & 85.6698712134565 & 0.504453849162151 \tabularnewline
0.04 & 85.9579697036271 & 0.514687365822565 \tabularnewline
0.05 & 86.2217468273817 & 0.589155169534514 \tabularnewline
0.06 & 86.4819960547975 & 0.701446449144407 \tabularnewline
0.07 & 86.7514717568518 & 0.806471598681364 \tabularnewline
0.08 & 87.0303866173488 & 0.868402717171927 \tabularnewline
0.09 & 87.3096233988112 & 0.872281192874702 \tabularnewline
0.1 & 87.576687810724 & 0.824032782754943 \tabularnewline
0.11 & 87.8211017430258 & 0.743694043618729 \tabularnewline
0.12 & 88.0374522465061 & 0.655646481740784 \tabularnewline
0.13 & 88.2258041184987 & 0.580371486673749 \tabularnewline
0.14 & 88.390242842465 & 0.52903729753344 \tabularnewline
0.15 & 88.5366885308495 & 0.502491608205195 \tabularnewline
0.16 & 88.6709322180349 & 0.493827059546025 \tabularnewline
0.17 & 88.7974024701676 & 0.493591877985231 \tabularnewline
0.18 & 88.9187461870657 & 0.493823737163211 \tabularnewline
0.19 & 89.0360394300733 & 0.489726448430684 \tabularnewline
0.2 & 89.1493452855062 & 0.479996982736442 \tabularnewline
0.21 & 89.2583556436124 & 0.465980041106335 \tabularnewline
0.22 & 89.3629310383384 & 0.450928930842336 \tabularnewline
0.23 & 89.4634417376734 & 0.43909118892354 \tabularnewline
0.24 & 89.5608889473246 & 0.434577750852978 \tabularnewline
0.25 & 89.6568375166734 & 0.440357679224636 \tabularnewline
0.26 & 89.753220082569 & 0.45766805746044 \tabularnewline
0.27 & 89.8520807411798 & 0.485879170621251 \tabularnewline
0.28 & 89.9553195489204 & 0.523046671364134 \tabularnewline
0.29 & 90.0644832984738 & 0.566075627855251 \tabularnewline
0.3 & 90.1806285102908 & 0.612218766119385 \tabularnewline
0.31 & 90.3042638054548 & 0.658323909743857 \tabularnewline
0.32 & 90.4353638329757 & 0.701794238447764 \tabularnewline
0.33 & 90.5734373631786 & 0.740915471855223 \tabularnewline
0.34 & 90.7176283723896 & 0.774159441460684 \tabularnewline
0.35 & 90.8668301782495 & 0.800749219329235 \tabularnewline
0.36 & 91.0197973892584 & 0.8203317278507 \tabularnewline
0.37 & 91.175246646661 & 0.833010664142973 \tabularnewline
0.38 & 91.3319429317417 & 0.839051373436819 \tabularnewline
0.39 & 91.4887721109455 & 0.839433724187609 \tabularnewline
0.4 & 91.6448016849747 & 0.834716422266098 \tabularnewline
0.41 & 91.7993305685373 & 0.826693225698327 \tabularnewline
0.42 & 91.9519260914284 & 0.816372077110914 \tabularnewline
0.43 & 92.1024436567772 & 0.805812027618248 \tabularnewline
0.44 & 92.2510230005833 & 0.796554690619197 \tabularnewline
0.45 & 92.3980557308326 & 0.790213421477156 \tabularnewline
0.46 & 92.5441220381639 & 0.787789899649986 \tabularnewline
0.47 & 92.6898996292853 & 0.790077456885489 \tabularnewline
0.48 & 92.8360538641991 & 0.796298140546692 \tabularnewline
0.49 & 92.983123283666 & 0.805438450678102 \tabularnewline
0.5 & 93.1314177794174 & 0.815681760036473 \tabularnewline
0.51 & 93.2809466225731 & 0.824914438896218 \tabularnewline
0.52 & 93.4313901605893 & 0.830797958216855 \tabularnewline
0.53 & 93.5821227225948 & 0.831493389710806 \tabularnewline
0.54 & 93.7322862884273 & 0.825705801791206 \tabularnewline
0.55 & 93.8809063061889 & 0.81306893751671 \tabularnewline
0.56 & 94.0270342384463 & 0.794117047808795 \tabularnewline
0.57 & 94.1698972071322 & 0.770233011096083 \tabularnewline
0.58 & 94.3090341437179 & 0.743612486397391 \tabularnewline
0.59 & 94.4444001087622 & 0.717058374204672 \tabularnewline
0.6 & 94.5764252910942 & 0.693698457535968 \tabularnewline
0.61 & 94.7060216022112 & 0.676296886517862 \tabularnewline
0.62 & 94.8345365956124 & 0.667507861204029 \tabularnewline
0.63 & 94.9636606461708 & 0.669153641640841 \tabularnewline
0.64 & 95.0952981961097 & 0.681853948793582 \tabularnewline
0.65 & 95.2314170182547 & 0.705426688932051 \tabularnewline
0.66 & 95.3738907482343 & 0.738495909155891 \tabularnewline
0.67 & 95.5243494744984 & 0.778936821466753 \tabularnewline
0.68 & 95.6840511755882 & 0.824145730817571 \tabularnewline
0.69 & 95.8537836459124 & 0.870997044680029 \tabularnewline
0.7 & 96.0338028375776 & 0.916584905364006 \tabularnewline
0.71 & 96.2238100165408 & 0.958029842612056 \tabularnewline
0.72 & 96.4229675309221 & 0.99265616052632 \tabularnewline
0.73 & 96.6299517368784 & 1.01848059975006 \tabularnewline
0.74 & 96.84304147085 & 1.03384350599209 \tabularnewline
0.75 & 97.060240333186 & 1.0376988501782 \tabularnewline
0.76 & 97.2794293887761 & 1.02987267444049 \tabularnewline
0.77 & 97.4985424483489 & 1.01104280483365 \tabularnewline
0.78 & 97.715749044361 & 0.982746273903345 \tabularnewline
0.79 & 97.9296229327662 & 0.947276106437311 \tabularnewline
0.8 & 98.139270728266 & 0.907686224412422 \tabularnewline
0.81 & 98.3444005519061 & 0.867122212013044 \tabularnewline
0.82 & 98.5453260847219 & 0.828632730561331 \tabularnewline
0.83 & 98.7429239660004 & 0.794377168260672 \tabularnewline
0.84 & 98.9385846138315 & 0.765719541040789 \tabularnewline
0.85 & 99.1342122625098 & 0.743613161892683 \tabularnewline
0.86 & 99.3323439687497 & 0.728944184101046 \tabularnewline
0.87 & 99.5364902511966 & 0.723499746541239 \tabularnewline
0.88 & 99.7518754368784 & 0.7303944506807 \tabularnewline
0.89 & 99.9868527753675 & 0.755809138174878 \tabularnewline
0.9 & 100.255246033057 & 0.811666197235455 \tabularnewline
0.91 & 100.579418169735 & 0.920829933727663 \tabularnewline
0.92 & 100.992645635422 & 1.11726018785003 \tabularnewline
0.93 & 101.537468459436 & 1.42798452576399 \tabularnewline
0.94 & 102.255327715924 & 1.83583775053546 \tabularnewline
0.95 & 103.164658186467 & 2.2442621161625 \tabularnewline
0.96 & 104.232191669194 & 2.47575963450663 \tabularnewline
0.97 & 105.353677351461 & 2.33781971771752 \tabularnewline
0.98 & 106.365615260093 & 1.76561618724897 \tabularnewline
0.99 & 107.097350832022 & 0.97810071970385 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282168&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]85.0271092822727[/C][C]0.613176140360043[/C][/ROW]
[ROW][C]0.02[/C][C]85.3475785899048[/C][C]0.546369999367178[/C][/ROW]
[ROW][C]0.03[/C][C]85.6698712134565[/C][C]0.504453849162151[/C][/ROW]
[ROW][C]0.04[/C][C]85.9579697036271[/C][C]0.514687365822565[/C][/ROW]
[ROW][C]0.05[/C][C]86.2217468273817[/C][C]0.589155169534514[/C][/ROW]
[ROW][C]0.06[/C][C]86.4819960547975[/C][C]0.701446449144407[/C][/ROW]
[ROW][C]0.07[/C][C]86.7514717568518[/C][C]0.806471598681364[/C][/ROW]
[ROW][C]0.08[/C][C]87.0303866173488[/C][C]0.868402717171927[/C][/ROW]
[ROW][C]0.09[/C][C]87.3096233988112[/C][C]0.872281192874702[/C][/ROW]
[ROW][C]0.1[/C][C]87.576687810724[/C][C]0.824032782754943[/C][/ROW]
[ROW][C]0.11[/C][C]87.8211017430258[/C][C]0.743694043618729[/C][/ROW]
[ROW][C]0.12[/C][C]88.0374522465061[/C][C]0.655646481740784[/C][/ROW]
[ROW][C]0.13[/C][C]88.2258041184987[/C][C]0.580371486673749[/C][/ROW]
[ROW][C]0.14[/C][C]88.390242842465[/C][C]0.52903729753344[/C][/ROW]
[ROW][C]0.15[/C][C]88.5366885308495[/C][C]0.502491608205195[/C][/ROW]
[ROW][C]0.16[/C][C]88.6709322180349[/C][C]0.493827059546025[/C][/ROW]
[ROW][C]0.17[/C][C]88.7974024701676[/C][C]0.493591877985231[/C][/ROW]
[ROW][C]0.18[/C][C]88.9187461870657[/C][C]0.493823737163211[/C][/ROW]
[ROW][C]0.19[/C][C]89.0360394300733[/C][C]0.489726448430684[/C][/ROW]
[ROW][C]0.2[/C][C]89.1493452855062[/C][C]0.479996982736442[/C][/ROW]
[ROW][C]0.21[/C][C]89.2583556436124[/C][C]0.465980041106335[/C][/ROW]
[ROW][C]0.22[/C][C]89.3629310383384[/C][C]0.450928930842336[/C][/ROW]
[ROW][C]0.23[/C][C]89.4634417376734[/C][C]0.43909118892354[/C][/ROW]
[ROW][C]0.24[/C][C]89.5608889473246[/C][C]0.434577750852978[/C][/ROW]
[ROW][C]0.25[/C][C]89.6568375166734[/C][C]0.440357679224636[/C][/ROW]
[ROW][C]0.26[/C][C]89.753220082569[/C][C]0.45766805746044[/C][/ROW]
[ROW][C]0.27[/C][C]89.8520807411798[/C][C]0.485879170621251[/C][/ROW]
[ROW][C]0.28[/C][C]89.9553195489204[/C][C]0.523046671364134[/C][/ROW]
[ROW][C]0.29[/C][C]90.0644832984738[/C][C]0.566075627855251[/C][/ROW]
[ROW][C]0.3[/C][C]90.1806285102908[/C][C]0.612218766119385[/C][/ROW]
[ROW][C]0.31[/C][C]90.3042638054548[/C][C]0.658323909743857[/C][/ROW]
[ROW][C]0.32[/C][C]90.4353638329757[/C][C]0.701794238447764[/C][/ROW]
[ROW][C]0.33[/C][C]90.5734373631786[/C][C]0.740915471855223[/C][/ROW]
[ROW][C]0.34[/C][C]90.7176283723896[/C][C]0.774159441460684[/C][/ROW]
[ROW][C]0.35[/C][C]90.8668301782495[/C][C]0.800749219329235[/C][/ROW]
[ROW][C]0.36[/C][C]91.0197973892584[/C][C]0.8203317278507[/C][/ROW]
[ROW][C]0.37[/C][C]91.175246646661[/C][C]0.833010664142973[/C][/ROW]
[ROW][C]0.38[/C][C]91.3319429317417[/C][C]0.839051373436819[/C][/ROW]
[ROW][C]0.39[/C][C]91.4887721109455[/C][C]0.839433724187609[/C][/ROW]
[ROW][C]0.4[/C][C]91.6448016849747[/C][C]0.834716422266098[/C][/ROW]
[ROW][C]0.41[/C][C]91.7993305685373[/C][C]0.826693225698327[/C][/ROW]
[ROW][C]0.42[/C][C]91.9519260914284[/C][C]0.816372077110914[/C][/ROW]
[ROW][C]0.43[/C][C]92.1024436567772[/C][C]0.805812027618248[/C][/ROW]
[ROW][C]0.44[/C][C]92.2510230005833[/C][C]0.796554690619197[/C][/ROW]
[ROW][C]0.45[/C][C]92.3980557308326[/C][C]0.790213421477156[/C][/ROW]
[ROW][C]0.46[/C][C]92.5441220381639[/C][C]0.787789899649986[/C][/ROW]
[ROW][C]0.47[/C][C]92.6898996292853[/C][C]0.790077456885489[/C][/ROW]
[ROW][C]0.48[/C][C]92.8360538641991[/C][C]0.796298140546692[/C][/ROW]
[ROW][C]0.49[/C][C]92.983123283666[/C][C]0.805438450678102[/C][/ROW]
[ROW][C]0.5[/C][C]93.1314177794174[/C][C]0.815681760036473[/C][/ROW]
[ROW][C]0.51[/C][C]93.2809466225731[/C][C]0.824914438896218[/C][/ROW]
[ROW][C]0.52[/C][C]93.4313901605893[/C][C]0.830797958216855[/C][/ROW]
[ROW][C]0.53[/C][C]93.5821227225948[/C][C]0.831493389710806[/C][/ROW]
[ROW][C]0.54[/C][C]93.7322862884273[/C][C]0.825705801791206[/C][/ROW]
[ROW][C]0.55[/C][C]93.8809063061889[/C][C]0.81306893751671[/C][/ROW]
[ROW][C]0.56[/C][C]94.0270342384463[/C][C]0.794117047808795[/C][/ROW]
[ROW][C]0.57[/C][C]94.1698972071322[/C][C]0.770233011096083[/C][/ROW]
[ROW][C]0.58[/C][C]94.3090341437179[/C][C]0.743612486397391[/C][/ROW]
[ROW][C]0.59[/C][C]94.4444001087622[/C][C]0.717058374204672[/C][/ROW]
[ROW][C]0.6[/C][C]94.5764252910942[/C][C]0.693698457535968[/C][/ROW]
[ROW][C]0.61[/C][C]94.7060216022112[/C][C]0.676296886517862[/C][/ROW]
[ROW][C]0.62[/C][C]94.8345365956124[/C][C]0.667507861204029[/C][/ROW]
[ROW][C]0.63[/C][C]94.9636606461708[/C][C]0.669153641640841[/C][/ROW]
[ROW][C]0.64[/C][C]95.0952981961097[/C][C]0.681853948793582[/C][/ROW]
[ROW][C]0.65[/C][C]95.2314170182547[/C][C]0.705426688932051[/C][/ROW]
[ROW][C]0.66[/C][C]95.3738907482343[/C][C]0.738495909155891[/C][/ROW]
[ROW][C]0.67[/C][C]95.5243494744984[/C][C]0.778936821466753[/C][/ROW]
[ROW][C]0.68[/C][C]95.6840511755882[/C][C]0.824145730817571[/C][/ROW]
[ROW][C]0.69[/C][C]95.8537836459124[/C][C]0.870997044680029[/C][/ROW]
[ROW][C]0.7[/C][C]96.0338028375776[/C][C]0.916584905364006[/C][/ROW]
[ROW][C]0.71[/C][C]96.2238100165408[/C][C]0.958029842612056[/C][/ROW]
[ROW][C]0.72[/C][C]96.4229675309221[/C][C]0.99265616052632[/C][/ROW]
[ROW][C]0.73[/C][C]96.6299517368784[/C][C]1.01848059975006[/C][/ROW]
[ROW][C]0.74[/C][C]96.84304147085[/C][C]1.03384350599209[/C][/ROW]
[ROW][C]0.75[/C][C]97.060240333186[/C][C]1.0376988501782[/C][/ROW]
[ROW][C]0.76[/C][C]97.2794293887761[/C][C]1.02987267444049[/C][/ROW]
[ROW][C]0.77[/C][C]97.4985424483489[/C][C]1.01104280483365[/C][/ROW]
[ROW][C]0.78[/C][C]97.715749044361[/C][C]0.982746273903345[/C][/ROW]
[ROW][C]0.79[/C][C]97.9296229327662[/C][C]0.947276106437311[/C][/ROW]
[ROW][C]0.8[/C][C]98.139270728266[/C][C]0.907686224412422[/C][/ROW]
[ROW][C]0.81[/C][C]98.3444005519061[/C][C]0.867122212013044[/C][/ROW]
[ROW][C]0.82[/C][C]98.5453260847219[/C][C]0.828632730561331[/C][/ROW]
[ROW][C]0.83[/C][C]98.7429239660004[/C][C]0.794377168260672[/C][/ROW]
[ROW][C]0.84[/C][C]98.9385846138315[/C][C]0.765719541040789[/C][/ROW]
[ROW][C]0.85[/C][C]99.1342122625098[/C][C]0.743613161892683[/C][/ROW]
[ROW][C]0.86[/C][C]99.3323439687497[/C][C]0.728944184101046[/C][/ROW]
[ROW][C]0.87[/C][C]99.5364902511966[/C][C]0.723499746541239[/C][/ROW]
[ROW][C]0.88[/C][C]99.7518754368784[/C][C]0.7303944506807[/C][/ROW]
[ROW][C]0.89[/C][C]99.9868527753675[/C][C]0.755809138174878[/C][/ROW]
[ROW][C]0.9[/C][C]100.255246033057[/C][C]0.811666197235455[/C][/ROW]
[ROW][C]0.91[/C][C]100.579418169735[/C][C]0.920829933727663[/C][/ROW]
[ROW][C]0.92[/C][C]100.992645635422[/C][C]1.11726018785003[/C][/ROW]
[ROW][C]0.93[/C][C]101.537468459436[/C][C]1.42798452576399[/C][/ROW]
[ROW][C]0.94[/C][C]102.255327715924[/C][C]1.83583775053546[/C][/ROW]
[ROW][C]0.95[/C][C]103.164658186467[/C][C]2.2442621161625[/C][/ROW]
[ROW][C]0.96[/C][C]104.232191669194[/C][C]2.47575963450663[/C][/ROW]
[ROW][C]0.97[/C][C]105.353677351461[/C][C]2.33781971771752[/C][/ROW]
[ROW][C]0.98[/C][C]106.365615260093[/C][C]1.76561618724897[/C][/ROW]
[ROW][C]0.99[/C][C]107.097350832022[/C][C]0.97810071970385[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282168&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282168&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
0.0185.02710928227270.613176140360043
0.0285.34757858990480.546369999367178
0.0385.66987121345650.504453849162151
0.0485.95796970362710.514687365822565
0.0586.22174682738170.589155169534514
0.0686.48199605479750.701446449144407
0.0786.75147175685180.806471598681364
0.0887.03038661734880.868402717171927
0.0987.30962339881120.872281192874702
0.187.5766878107240.824032782754943
0.1187.82110174302580.743694043618729
0.1288.03745224650610.655646481740784
0.1388.22580411849870.580371486673749
0.1488.3902428424650.52903729753344
0.1588.53668853084950.502491608205195
0.1688.67093221803490.493827059546025
0.1788.79740247016760.493591877985231
0.1888.91874618706570.493823737163211
0.1989.03603943007330.489726448430684
0.289.14934528550620.479996982736442
0.2189.25835564361240.465980041106335
0.2289.36293103833840.450928930842336
0.2389.46344173767340.43909118892354
0.2489.56088894732460.434577750852978
0.2589.65683751667340.440357679224636
0.2689.7532200825690.45766805746044
0.2789.85208074117980.485879170621251
0.2889.95531954892040.523046671364134
0.2990.06448329847380.566075627855251
0.390.18062851029080.612218766119385
0.3190.30426380545480.658323909743857
0.3290.43536383297570.701794238447764
0.3390.57343736317860.740915471855223
0.3490.71762837238960.774159441460684
0.3590.86683017824950.800749219329235
0.3691.01979738925840.8203317278507
0.3791.1752466466610.833010664142973
0.3891.33194293174170.839051373436819
0.3991.48877211094550.839433724187609
0.491.64480168497470.834716422266098
0.4191.79933056853730.826693225698327
0.4291.95192609142840.816372077110914
0.4392.10244365677720.805812027618248
0.4492.25102300058330.796554690619197
0.4592.39805573083260.790213421477156
0.4692.54412203816390.787789899649986
0.4792.68989962928530.790077456885489
0.4892.83605386419910.796298140546692
0.4992.9831232836660.805438450678102
0.593.13141777941740.815681760036473
0.5193.28094662257310.824914438896218
0.5293.43139016058930.830797958216855
0.5393.58212272259480.831493389710806
0.5493.73228628842730.825705801791206
0.5593.88090630618890.81306893751671
0.5694.02703423844630.794117047808795
0.5794.16989720713220.770233011096083
0.5894.30903414371790.743612486397391
0.5994.44440010876220.717058374204672
0.694.57642529109420.693698457535968
0.6194.70602160221120.676296886517862
0.6294.83453659561240.667507861204029
0.6394.96366064617080.669153641640841
0.6495.09529819610970.681853948793582
0.6595.23141701825470.705426688932051
0.6695.37389074823430.738495909155891
0.6795.52434947449840.778936821466753
0.6895.68405117558820.824145730817571
0.6995.85378364591240.870997044680029
0.796.03380283757760.916584905364006
0.7196.22381001654080.958029842612056
0.7296.42296753092210.99265616052632
0.7396.62995173687841.01848059975006
0.7496.843041470851.03384350599209
0.7597.0602403331861.0376988501782
0.7697.27942938877611.02987267444049
0.7797.49854244834891.01104280483365
0.7897.7157490443610.982746273903345
0.7997.92962293276620.947276106437311
0.898.1392707282660.907686224412422
0.8198.34440055190610.867122212013044
0.8298.54532608472190.828632730561331
0.8398.74292396600040.794377168260672
0.8498.93858461383150.765719541040789
0.8599.13421226250980.743613161892683
0.8699.33234396874970.728944184101046
0.8799.53649025119660.723499746541239
0.8899.75187543687840.7303944506807
0.8999.98685277536750.755809138174878
0.9100.2552460330570.811666197235455
0.91100.5794181697350.920829933727663
0.92100.9926456354221.11726018785003
0.93101.5374684594361.42798452576399
0.94102.2553277159241.83583775053546
0.95103.1646581864672.2442621161625
0.96104.2321916691942.47575963450663
0.97105.3536773514612.33781971771752
0.98106.3656152600931.76561618724897
0.99107.0973508320220.97810071970385


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')