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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, 27 Feb 2016 10:45:28 +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/27/t14565699998f0ks88jrh1xob4.htm/, Retrieved Sat, 27 Apr 2024 09:49:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292848, Retrieved Sat, 27 Apr 2024 09:49:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact126

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] [] [2016-02-27 10:45:28] [808bf237864283e5d6c581b9d5be65c1] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4
7
9
6
9
13
18
8
15
4
8
14
8
3
5
6
12
7
3
11
6
9
6
10
10
6
13
10
9
15
8
12
13
9
6
7
8
7
6
8
3
7
8
8
7
12
7
5
9
9
8
11
9
8
9
11
8
9
9
5

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=292848&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=292848&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292848&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
0.013.02002536838460.0719756923895073
0.023.078062432209720.212422300444737
0.033.187916357884090.386626834676671
0.043.351553036769180.548227898205929
0.053.559434344259910.666468946872009
0.063.7955588303130.734261928357992
0.074.043312836018450.760518302849269
0.084.289356494717090.758811960675496
0.094.524895566800980.740367248339393
0.14.745119496974220.712212712470259
0.114.947925816023680.677850541905575
0.125.132730557807630.638571078297349
0.135.299705058285490.594835646472552
0.145.449451619413190.54760719342773
0.155.582974888863270.499208065546584
0.165.701770341314320.453480025304943
0.175.807881524484260.415198324421713
0.185.903839100264080.388882478001733
0.195.992463996851260.377231347556426
0.26.076575234796010.379901196616864
0.216.158676498038640.393559116331476
0.226.240699489930390.413272558772638
0.236.323861273722260.434078716683522
0.246.408658168409980.452050062450276
0.256.494982825788520.464755181060143
0.266.5823237867340.471366790296258
0.276.669993502241850.472504744739192
0.286.757332238599460.469837170627817
0.296.8438485688040.465550354956521
0.36.92927727582890.461698703599053
0.317.013556869831820.459631570742785
0.327.096746665161350.45962495125124
0.337.178914177640680.460851641037569
0.347.260026199042460.461678079739257
0.357.339871946222610.460130283663151
0.367.418036326825160.454385950358831
0.377.493928566829180.443191286925725
0.387.566859195624660.42608047404885
0.397.636149060318810.403468803328583
0.47.701249014946490.376619160112995
0.417.76184846734430.347484532963163
0.427.817954389734910.318519362691179
0.437.86992843171510.29243512519908
0.447.918476941358720.271964441246271
0.457.964595678656680.259472646693024
0.468.009476846864910.256483356573199
0.478.054390264310030.263241743700004
0.488.100552921153250.278577350557985
0.498.149001918931760.300246985731027
0.58.200485073530240.325464944772188
0.518.255381469038350.351269541592212
0.528.313661151113220.374794843491285
0.538.374889134547010.39351741895155
0.548.438274252258930.40540818503487
0.558.502758513675350.409134827070649
0.568.567138121803430.404187160062101
0.578.630203723218140.390909031375232
0.588.690885357078420.370533497776292
0.598.748387235810340.34502133892798
0.68.802298932190720.316969434593205
0.618.852672451768230.289443634369883
0.628.900058492221760.265843778250358
0.638.94549930905810.249761169050044
0.648.990479481928280.244577535222798
0.659.036839175228690.252773633310373
0.669.08665711572340.275250210271427
0.679.14211254640960.311244051232754
0.689.205336977500890.358886323811541
0.699.278267659733660.415702755400437
0.79.362515187688910.478904043940962
0.719.459257177041840.545460559488627
0.729.569168194888660.612262104193313
0.739.692392864630970.676322077172072
0.749.828564465219310.734958964017809
0.759.976865966874080.786023135603811
0.7610.13612520130030.828016747413195
0.7710.30493177496260.860174718492311
0.7810.48176122740830.882442502112146
0.7910.66509221251750.895347321720828
0.810.85350509832820.899842662493762
0.8111.04575513983580.897160045810465
0.8211.2408203361660.888593974400688
0.8311.4379336567340.875409533538279
0.8411.63662143625490.858794536935277
0.8511.83678166681450.839874444006618
0.8612.0388395477120.819949364458137
0.8712.24399887418660.800956458703326
0.8812.45455258581780.786147900765825
0.8912.6741274311770.780595051046654
0.912.90766573537010.790423206732632
0.9113.16101344578450.819552249889849
0.9213.44036328917650.864658864782514
0.9313.75257265198060.912907332078021
0.9414.10811874451590.948532541933525
0.9514.52764448074830.973213427775494
0.9615.04799401945451.04245961707661
0.9715.71320869295811.28152810518701
0.9816.52878548531031.77641090137803
0.9917.38062398104922.42680780584544

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 3.0200253683846 & 0.0719756923895073 \tabularnewline
0.02 & 3.07806243220972 & 0.212422300444737 \tabularnewline
0.03 & 3.18791635788409 & 0.386626834676671 \tabularnewline
0.04 & 3.35155303676918 & 0.548227898205929 \tabularnewline
0.05 & 3.55943434425991 & 0.666468946872009 \tabularnewline
0.06 & 3.795558830313 & 0.734261928357992 \tabularnewline
0.07 & 4.04331283601845 & 0.760518302849269 \tabularnewline
0.08 & 4.28935649471709 & 0.758811960675496 \tabularnewline
0.09 & 4.52489556680098 & 0.740367248339393 \tabularnewline
0.1 & 4.74511949697422 & 0.712212712470259 \tabularnewline
0.11 & 4.94792581602368 & 0.677850541905575 \tabularnewline
0.12 & 5.13273055780763 & 0.638571078297349 \tabularnewline
0.13 & 5.29970505828549 & 0.594835646472552 \tabularnewline
0.14 & 5.44945161941319 & 0.54760719342773 \tabularnewline
0.15 & 5.58297488886327 & 0.499208065546584 \tabularnewline
0.16 & 5.70177034131432 & 0.453480025304943 \tabularnewline
0.17 & 5.80788152448426 & 0.415198324421713 \tabularnewline
0.18 & 5.90383910026408 & 0.388882478001733 \tabularnewline
0.19 & 5.99246399685126 & 0.377231347556426 \tabularnewline
0.2 & 6.07657523479601 & 0.379901196616864 \tabularnewline
0.21 & 6.15867649803864 & 0.393559116331476 \tabularnewline
0.22 & 6.24069948993039 & 0.413272558772638 \tabularnewline
0.23 & 6.32386127372226 & 0.434078716683522 \tabularnewline
0.24 & 6.40865816840998 & 0.452050062450276 \tabularnewline
0.25 & 6.49498282578852 & 0.464755181060143 \tabularnewline
0.26 & 6.582323786734 & 0.471366790296258 \tabularnewline
0.27 & 6.66999350224185 & 0.472504744739192 \tabularnewline
0.28 & 6.75733223859946 & 0.469837170627817 \tabularnewline
0.29 & 6.843848568804 & 0.465550354956521 \tabularnewline
0.3 & 6.9292772758289 & 0.461698703599053 \tabularnewline
0.31 & 7.01355686983182 & 0.459631570742785 \tabularnewline
0.32 & 7.09674666516135 & 0.45962495125124 \tabularnewline
0.33 & 7.17891417764068 & 0.460851641037569 \tabularnewline
0.34 & 7.26002619904246 & 0.461678079739257 \tabularnewline
0.35 & 7.33987194622261 & 0.460130283663151 \tabularnewline
0.36 & 7.41803632682516 & 0.454385950358831 \tabularnewline
0.37 & 7.49392856682918 & 0.443191286925725 \tabularnewline
0.38 & 7.56685919562466 & 0.42608047404885 \tabularnewline
0.39 & 7.63614906031881 & 0.403468803328583 \tabularnewline
0.4 & 7.70124901494649 & 0.376619160112995 \tabularnewline
0.41 & 7.7618484673443 & 0.347484532963163 \tabularnewline
0.42 & 7.81795438973491 & 0.318519362691179 \tabularnewline
0.43 & 7.8699284317151 & 0.29243512519908 \tabularnewline
0.44 & 7.91847694135872 & 0.271964441246271 \tabularnewline
0.45 & 7.96459567865668 & 0.259472646693024 \tabularnewline
0.46 & 8.00947684686491 & 0.256483356573199 \tabularnewline
0.47 & 8.05439026431003 & 0.263241743700004 \tabularnewline
0.48 & 8.10055292115325 & 0.278577350557985 \tabularnewline
0.49 & 8.14900191893176 & 0.300246985731027 \tabularnewline
0.5 & 8.20048507353024 & 0.325464944772188 \tabularnewline
0.51 & 8.25538146903835 & 0.351269541592212 \tabularnewline
0.52 & 8.31366115111322 & 0.374794843491285 \tabularnewline
0.53 & 8.37488913454701 & 0.39351741895155 \tabularnewline
0.54 & 8.43827425225893 & 0.40540818503487 \tabularnewline
0.55 & 8.50275851367535 & 0.409134827070649 \tabularnewline
0.56 & 8.56713812180343 & 0.404187160062101 \tabularnewline
0.57 & 8.63020372321814 & 0.390909031375232 \tabularnewline
0.58 & 8.69088535707842 & 0.370533497776292 \tabularnewline
0.59 & 8.74838723581034 & 0.34502133892798 \tabularnewline
0.6 & 8.80229893219072 & 0.316969434593205 \tabularnewline
0.61 & 8.85267245176823 & 0.289443634369883 \tabularnewline
0.62 & 8.90005849222176 & 0.265843778250358 \tabularnewline
0.63 & 8.9454993090581 & 0.249761169050044 \tabularnewline
0.64 & 8.99047948192828 & 0.244577535222798 \tabularnewline
0.65 & 9.03683917522869 & 0.252773633310373 \tabularnewline
0.66 & 9.0866571157234 & 0.275250210271427 \tabularnewline
0.67 & 9.1421125464096 & 0.311244051232754 \tabularnewline
0.68 & 9.20533697750089 & 0.358886323811541 \tabularnewline
0.69 & 9.27826765973366 & 0.415702755400437 \tabularnewline
0.7 & 9.36251518768891 & 0.478904043940962 \tabularnewline
0.71 & 9.45925717704184 & 0.545460559488627 \tabularnewline
0.72 & 9.56916819488866 & 0.612262104193313 \tabularnewline
0.73 & 9.69239286463097 & 0.676322077172072 \tabularnewline
0.74 & 9.82856446521931 & 0.734958964017809 \tabularnewline
0.75 & 9.97686596687408 & 0.786023135603811 \tabularnewline
0.76 & 10.1361252013003 & 0.828016747413195 \tabularnewline
0.77 & 10.3049317749626 & 0.860174718492311 \tabularnewline
0.78 & 10.4817612274083 & 0.882442502112146 \tabularnewline
0.79 & 10.6650922125175 & 0.895347321720828 \tabularnewline
0.8 & 10.8535050983282 & 0.899842662493762 \tabularnewline
0.81 & 11.0457551398358 & 0.897160045810465 \tabularnewline
0.82 & 11.240820336166 & 0.888593974400688 \tabularnewline
0.83 & 11.437933656734 & 0.875409533538279 \tabularnewline
0.84 & 11.6366214362549 & 0.858794536935277 \tabularnewline
0.85 & 11.8367816668145 & 0.839874444006618 \tabularnewline
0.86 & 12.038839547712 & 0.819949364458137 \tabularnewline
0.87 & 12.2439988741866 & 0.800956458703326 \tabularnewline
0.88 & 12.4545525858178 & 0.786147900765825 \tabularnewline
0.89 & 12.674127431177 & 0.780595051046654 \tabularnewline
0.9 & 12.9076657353701 & 0.790423206732632 \tabularnewline
0.91 & 13.1610134457845 & 0.819552249889849 \tabularnewline
0.92 & 13.4403632891765 & 0.864658864782514 \tabularnewline
0.93 & 13.7525726519806 & 0.912907332078021 \tabularnewline
0.94 & 14.1081187445159 & 0.948532541933525 \tabularnewline
0.95 & 14.5276444807483 & 0.973213427775494 \tabularnewline
0.96 & 15.0479940194545 & 1.04245961707661 \tabularnewline
0.97 & 15.7132086929581 & 1.28152810518701 \tabularnewline
0.98 & 16.5287854853103 & 1.77641090137803 \tabularnewline
0.99 & 17.3806239810492 & 2.42680780584544 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292848&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]3.0200253683846[/C][C]0.0719756923895073[/C][/ROW]
[ROW][C]0.02[/C][C]3.07806243220972[/C][C]0.212422300444737[/C][/ROW]
[ROW][C]0.03[/C][C]3.18791635788409[/C][C]0.386626834676671[/C][/ROW]
[ROW][C]0.04[/C][C]3.35155303676918[/C][C]0.548227898205929[/C][/ROW]
[ROW][C]0.05[/C][C]3.55943434425991[/C][C]0.666468946872009[/C][/ROW]
[ROW][C]0.06[/C][C]3.795558830313[/C][C]0.734261928357992[/C][/ROW]
[ROW][C]0.07[/C][C]4.04331283601845[/C][C]0.760518302849269[/C][/ROW]
[ROW][C]0.08[/C][C]4.28935649471709[/C][C]0.758811960675496[/C][/ROW]
[ROW][C]0.09[/C][C]4.52489556680098[/C][C]0.740367248339393[/C][/ROW]
[ROW][C]0.1[/C][C]4.74511949697422[/C][C]0.712212712470259[/C][/ROW]
[ROW][C]0.11[/C][C]4.94792581602368[/C][C]0.677850541905575[/C][/ROW]
[ROW][C]0.12[/C][C]5.13273055780763[/C][C]0.638571078297349[/C][/ROW]
[ROW][C]0.13[/C][C]5.29970505828549[/C][C]0.594835646472552[/C][/ROW]
[ROW][C]0.14[/C][C]5.44945161941319[/C][C]0.54760719342773[/C][/ROW]
[ROW][C]0.15[/C][C]5.58297488886327[/C][C]0.499208065546584[/C][/ROW]
[ROW][C]0.16[/C][C]5.70177034131432[/C][C]0.453480025304943[/C][/ROW]
[ROW][C]0.17[/C][C]5.80788152448426[/C][C]0.415198324421713[/C][/ROW]
[ROW][C]0.18[/C][C]5.90383910026408[/C][C]0.388882478001733[/C][/ROW]
[ROW][C]0.19[/C][C]5.99246399685126[/C][C]0.377231347556426[/C][/ROW]
[ROW][C]0.2[/C][C]6.07657523479601[/C][C]0.379901196616864[/C][/ROW]
[ROW][C]0.21[/C][C]6.15867649803864[/C][C]0.393559116331476[/C][/ROW]
[ROW][C]0.22[/C][C]6.24069948993039[/C][C]0.413272558772638[/C][/ROW]
[ROW][C]0.23[/C][C]6.32386127372226[/C][C]0.434078716683522[/C][/ROW]
[ROW][C]0.24[/C][C]6.40865816840998[/C][C]0.452050062450276[/C][/ROW]
[ROW][C]0.25[/C][C]6.49498282578852[/C][C]0.464755181060143[/C][/ROW]
[ROW][C]0.26[/C][C]6.582323786734[/C][C]0.471366790296258[/C][/ROW]
[ROW][C]0.27[/C][C]6.66999350224185[/C][C]0.472504744739192[/C][/ROW]
[ROW][C]0.28[/C][C]6.75733223859946[/C][C]0.469837170627817[/C][/ROW]
[ROW][C]0.29[/C][C]6.843848568804[/C][C]0.465550354956521[/C][/ROW]
[ROW][C]0.3[/C][C]6.9292772758289[/C][C]0.461698703599053[/C][/ROW]
[ROW][C]0.31[/C][C]7.01355686983182[/C][C]0.459631570742785[/C][/ROW]
[ROW][C]0.32[/C][C]7.09674666516135[/C][C]0.45962495125124[/C][/ROW]
[ROW][C]0.33[/C][C]7.17891417764068[/C][C]0.460851641037569[/C][/ROW]
[ROW][C]0.34[/C][C]7.26002619904246[/C][C]0.461678079739257[/C][/ROW]
[ROW][C]0.35[/C][C]7.33987194622261[/C][C]0.460130283663151[/C][/ROW]
[ROW][C]0.36[/C][C]7.41803632682516[/C][C]0.454385950358831[/C][/ROW]
[ROW][C]0.37[/C][C]7.49392856682918[/C][C]0.443191286925725[/C][/ROW]
[ROW][C]0.38[/C][C]7.56685919562466[/C][C]0.42608047404885[/C][/ROW]
[ROW][C]0.39[/C][C]7.63614906031881[/C][C]0.403468803328583[/C][/ROW]
[ROW][C]0.4[/C][C]7.70124901494649[/C][C]0.376619160112995[/C][/ROW]
[ROW][C]0.41[/C][C]7.7618484673443[/C][C]0.347484532963163[/C][/ROW]
[ROW][C]0.42[/C][C]7.81795438973491[/C][C]0.318519362691179[/C][/ROW]
[ROW][C]0.43[/C][C]7.8699284317151[/C][C]0.29243512519908[/C][/ROW]
[ROW][C]0.44[/C][C]7.91847694135872[/C][C]0.271964441246271[/C][/ROW]
[ROW][C]0.45[/C][C]7.96459567865668[/C][C]0.259472646693024[/C][/ROW]
[ROW][C]0.46[/C][C]8.00947684686491[/C][C]0.256483356573199[/C][/ROW]
[ROW][C]0.47[/C][C]8.05439026431003[/C][C]0.263241743700004[/C][/ROW]
[ROW][C]0.48[/C][C]8.10055292115325[/C][C]0.278577350557985[/C][/ROW]
[ROW][C]0.49[/C][C]8.14900191893176[/C][C]0.300246985731027[/C][/ROW]
[ROW][C]0.5[/C][C]8.20048507353024[/C][C]0.325464944772188[/C][/ROW]
[ROW][C]0.51[/C][C]8.25538146903835[/C][C]0.351269541592212[/C][/ROW]
[ROW][C]0.52[/C][C]8.31366115111322[/C][C]0.374794843491285[/C][/ROW]
[ROW][C]0.53[/C][C]8.37488913454701[/C][C]0.39351741895155[/C][/ROW]
[ROW][C]0.54[/C][C]8.43827425225893[/C][C]0.40540818503487[/C][/ROW]
[ROW][C]0.55[/C][C]8.50275851367535[/C][C]0.409134827070649[/C][/ROW]
[ROW][C]0.56[/C][C]8.56713812180343[/C][C]0.404187160062101[/C][/ROW]
[ROW][C]0.57[/C][C]8.63020372321814[/C][C]0.390909031375232[/C][/ROW]
[ROW][C]0.58[/C][C]8.69088535707842[/C][C]0.370533497776292[/C][/ROW]
[ROW][C]0.59[/C][C]8.74838723581034[/C][C]0.34502133892798[/C][/ROW]
[ROW][C]0.6[/C][C]8.80229893219072[/C][C]0.316969434593205[/C][/ROW]
[ROW][C]0.61[/C][C]8.85267245176823[/C][C]0.289443634369883[/C][/ROW]
[ROW][C]0.62[/C][C]8.90005849222176[/C][C]0.265843778250358[/C][/ROW]
[ROW][C]0.63[/C][C]8.9454993090581[/C][C]0.249761169050044[/C][/ROW]
[ROW][C]0.64[/C][C]8.99047948192828[/C][C]0.244577535222798[/C][/ROW]
[ROW][C]0.65[/C][C]9.03683917522869[/C][C]0.252773633310373[/C][/ROW]
[ROW][C]0.66[/C][C]9.0866571157234[/C][C]0.275250210271427[/C][/ROW]
[ROW][C]0.67[/C][C]9.1421125464096[/C][C]0.311244051232754[/C][/ROW]
[ROW][C]0.68[/C][C]9.20533697750089[/C][C]0.358886323811541[/C][/ROW]
[ROW][C]0.69[/C][C]9.27826765973366[/C][C]0.415702755400437[/C][/ROW]
[ROW][C]0.7[/C][C]9.36251518768891[/C][C]0.478904043940962[/C][/ROW]
[ROW][C]0.71[/C][C]9.45925717704184[/C][C]0.545460559488627[/C][/ROW]
[ROW][C]0.72[/C][C]9.56916819488866[/C][C]0.612262104193313[/C][/ROW]
[ROW][C]0.73[/C][C]9.69239286463097[/C][C]0.676322077172072[/C][/ROW]
[ROW][C]0.74[/C][C]9.82856446521931[/C][C]0.734958964017809[/C][/ROW]
[ROW][C]0.75[/C][C]9.97686596687408[/C][C]0.786023135603811[/C][/ROW]
[ROW][C]0.76[/C][C]10.1361252013003[/C][C]0.828016747413195[/C][/ROW]
[ROW][C]0.77[/C][C]10.3049317749626[/C][C]0.860174718492311[/C][/ROW]
[ROW][C]0.78[/C][C]10.4817612274083[/C][C]0.882442502112146[/C][/ROW]
[ROW][C]0.79[/C][C]10.6650922125175[/C][C]0.895347321720828[/C][/ROW]
[ROW][C]0.8[/C][C]10.8535050983282[/C][C]0.899842662493762[/C][/ROW]
[ROW][C]0.81[/C][C]11.0457551398358[/C][C]0.897160045810465[/C][/ROW]
[ROW][C]0.82[/C][C]11.240820336166[/C][C]0.888593974400688[/C][/ROW]
[ROW][C]0.83[/C][C]11.437933656734[/C][C]0.875409533538279[/C][/ROW]
[ROW][C]0.84[/C][C]11.6366214362549[/C][C]0.858794536935277[/C][/ROW]
[ROW][C]0.85[/C][C]11.8367816668145[/C][C]0.839874444006618[/C][/ROW]
[ROW][C]0.86[/C][C]12.038839547712[/C][C]0.819949364458137[/C][/ROW]
[ROW][C]0.87[/C][C]12.2439988741866[/C][C]0.800956458703326[/C][/ROW]
[ROW][C]0.88[/C][C]12.4545525858178[/C][C]0.786147900765825[/C][/ROW]
[ROW][C]0.89[/C][C]12.674127431177[/C][C]0.780595051046654[/C][/ROW]
[ROW][C]0.9[/C][C]12.9076657353701[/C][C]0.790423206732632[/C][/ROW]
[ROW][C]0.91[/C][C]13.1610134457845[/C][C]0.819552249889849[/C][/ROW]
[ROW][C]0.92[/C][C]13.4403632891765[/C][C]0.864658864782514[/C][/ROW]
[ROW][C]0.93[/C][C]13.7525726519806[/C][C]0.912907332078021[/C][/ROW]
[ROW][C]0.94[/C][C]14.1081187445159[/C][C]0.948532541933525[/C][/ROW]
[ROW][C]0.95[/C][C]14.5276444807483[/C][C]0.973213427775494[/C][/ROW]
[ROW][C]0.96[/C][C]15.0479940194545[/C][C]1.04245961707661[/C][/ROW]
[ROW][C]0.97[/C][C]15.7132086929581[/C][C]1.28152810518701[/C][/ROW]
[ROW][C]0.98[/C][C]16.5287854853103[/C][C]1.77641090137803[/C][/ROW]
[ROW][C]0.99[/C][C]17.3806239810492[/C][C]2.42680780584544[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292848&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292848&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
0.013.02002536838460.0719756923895073
0.023.078062432209720.212422300444737
0.033.187916357884090.386626834676671
0.043.351553036769180.548227898205929
0.053.559434344259910.666468946872009
0.063.7955588303130.734261928357992
0.074.043312836018450.760518302849269
0.084.289356494717090.758811960675496
0.094.524895566800980.740367248339393
0.14.745119496974220.712212712470259
0.114.947925816023680.677850541905575
0.125.132730557807630.638571078297349
0.135.299705058285490.594835646472552
0.145.449451619413190.54760719342773
0.155.582974888863270.499208065546584
0.165.701770341314320.453480025304943
0.175.807881524484260.415198324421713
0.185.903839100264080.388882478001733
0.195.992463996851260.377231347556426
0.26.076575234796010.379901196616864
0.216.158676498038640.393559116331476
0.226.240699489930390.413272558772638
0.236.323861273722260.434078716683522
0.246.408658168409980.452050062450276
0.256.494982825788520.464755181060143
0.266.5823237867340.471366790296258
0.276.669993502241850.472504744739192
0.286.757332238599460.469837170627817
0.296.8438485688040.465550354956521
0.36.92927727582890.461698703599053
0.317.013556869831820.459631570742785
0.327.096746665161350.45962495125124
0.337.178914177640680.460851641037569
0.347.260026199042460.461678079739257
0.357.339871946222610.460130283663151
0.367.418036326825160.454385950358831
0.377.493928566829180.443191286925725
0.387.566859195624660.42608047404885
0.397.636149060318810.403468803328583
0.47.701249014946490.376619160112995
0.417.76184846734430.347484532963163
0.427.817954389734910.318519362691179
0.437.86992843171510.29243512519908
0.447.918476941358720.271964441246271
0.457.964595678656680.259472646693024
0.468.009476846864910.256483356573199
0.478.054390264310030.263241743700004
0.488.100552921153250.278577350557985
0.498.149001918931760.300246985731027
0.58.200485073530240.325464944772188
0.518.255381469038350.351269541592212
0.528.313661151113220.374794843491285
0.538.374889134547010.39351741895155
0.548.438274252258930.40540818503487
0.558.502758513675350.409134827070649
0.568.567138121803430.404187160062101
0.578.630203723218140.390909031375232
0.588.690885357078420.370533497776292
0.598.748387235810340.34502133892798
0.68.802298932190720.316969434593205
0.618.852672451768230.289443634369883
0.628.900058492221760.265843778250358
0.638.94549930905810.249761169050044
0.648.990479481928280.244577535222798
0.659.036839175228690.252773633310373
0.669.08665711572340.275250210271427
0.679.14211254640960.311244051232754
0.689.205336977500890.358886323811541
0.699.278267659733660.415702755400437
0.79.362515187688910.478904043940962
0.719.459257177041840.545460559488627
0.729.569168194888660.612262104193313
0.739.692392864630970.676322077172072
0.749.828564465219310.734958964017809
0.759.976865966874080.786023135603811
0.7610.13612520130030.828016747413195
0.7710.30493177496260.860174718492311
0.7810.48176122740830.882442502112146
0.7910.66509221251750.895347321720828
0.810.85350509832820.899842662493762
0.8111.04575513983580.897160045810465
0.8211.2408203361660.888593974400688
0.8311.4379336567340.875409533538279
0.8411.63662143625490.858794536935277
0.8511.83678166681450.839874444006618
0.8612.0388395477120.819949364458137
0.8712.24399887418660.800956458703326
0.8812.45455258581780.786147900765825
0.8912.6741274311770.780595051046654
0.912.90766573537010.790423206732632
0.9113.16101344578450.819552249889849
0.9213.44036328917650.864658864782514
0.9313.75257265198060.912907332078021
0.9414.10811874451590.948532541933525
0.9514.52764448074830.973213427775494
0.9615.04799401945451.04245961707661
0.9715.71320869295811.28152810518701
0.9816.52878548531031.77641090137803
0.9917.38062398104922.42680780584544


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')