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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, 04 Oct 2014 10:17:17 +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/2014/Oct/04/t1412414448js5nhm24u8mfutw.htm/, Retrieved Mon, 13 May 2024 16:24:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238509, Retrieved Mon, 13 May 2024 16:24:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact154

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] [] [2014-10-04 09:17:17] [c53b0bb515ebe5f6f1384250cc1174dd] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
246.78
247.91
247.99
248.6
248.68
248.75
248.75
249.03
249.05
249.57
249.35
249.46
249.46
250.82
254.19
255.18
256.68
256.73
256.73
257.39
257.78
258.67
258.71
258.91
258.91
261.38
262.42
262.77
263.24
262.83
262.83
263.09
263.6
265.68
266.08
266.28
266.28
269.14
270.96
272.97
273.13
274.73
274.73
274.59
275.15
275.16
275.38
275.4
275.4
275.71
275.21
279.04
279.1
279.11
279.11
279.02
279.3
279.34
279.36
279.39
279.39
280.21
283
284.33
285.15
284.21
284.21
284.17
286.28
286.95
287.12
287.34

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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238509&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238509&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238509&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01247.0841091790440.88849355131492
0.02247.4938901555080.634226090418158
0.03247.8594375725880.480048490481446
0.04248.1393171698590.411612781085981
0.05248.3495480464790.366998663612736
0.06248.5138182428660.327371138667046
0.07248.6496584412340.305599166863951
0.08248.7706419769940.31729765850192
0.09248.8894488373180.370791174413401
0.1249.0188543539140.469952247777041
0.11249.1718261651740.620823974726819
0.12249.3614552572080.829009139122412
0.13249.6005558475361.09551051063356
0.14249.9006265631891.41281997427907
0.15250.2702108111961.7622830994026
0.16250.713083710292.11685148388015
0.17251.2268762972412.44473868953615
0.18251.8026659747692.71483162449387
0.19252.425778551372.90342573584757
0.2253.0776864586062.99823776536408
0.21253.7385823579593.00006385911131
0.22254.3900519275942.92213403041895
0.23255.0172939907872.7866895827179
0.24255.6105058422052.62083320162929
0.25256.1652918187722.45086677575939
0.26256.6821827041192.29936284836589
0.27257.1655136773452.18179179835774
0.28257.6219762861772.10634952478289
0.29258.0591452933952.07171025380818
0.3258.4842134337412.07021388675248
0.31258.9030787213192.0920294782946
0.32259.3198445092542.12461641818947
0.33259.7367243939342.15763681565568
0.34260.1542946092072.18211511015585
0.35260.5720032123762.19494028530909
0.36260.9888253960282.19591599608184
0.37261.403947000442.18856802622237
0.38261.8173646372112.1819355947218
0.39262.2303111405062.18466000961304
0.4262.6454472413592.20755650746915
0.41263.0667992452792.259590694431
0.42263.4994609341322.3464508501674
0.43263.9491089671382.46905091753742
0.44264.4214001948922.6250577156703
0.45264.9213256274152.80719974792499
0.46265.4525917918013.00620166955624
0.47266.0170902170273.20877855249777
0.48266.6145039610273.40247733459439
0.49267.2420888021713.57236790025428
0.5267.894655909693.70457737021852
0.51268.5647706760063.7875311017787
0.52269.2431668331753.81192303523491
0.53269.9193551678793.772280971202
0.54270.5823835267223.66840348073651
0.55271.2216829606073.50399864380006
0.56271.8279184584833.28865384654699
0.57272.3937558853243.03467876111106
0.58272.914461593442.75830421864278
0.59273.3882671796282.47659377511317
0.6273.8164561522932.20794014207282
0.61274.2031578381451.96798776083001
0.62274.5548629561891.77049526466494
0.63274.8797024682171.62557243202646
0.64275.186555558681.537473775773
0.65275.4840735193171.50334008565413
0.66275.7797228930081.51288219522398
0.67276.0789608049581.54991709692401
0.68276.3846536984821.59662482554949
0.69276.6968331795911.63485506008712
0.7277.0128469899391.65008263618012
0.71277.3279114217771.63155961004543
0.72277.6360114590051.57479102736421
0.73277.93103849781.48184107717247
0.74278.2080151076171.36017649867132
0.75278.4642400597721.22311457934445
0.76278.70019490441.08798891879654
0.77278.9200777267350.97500524564583
0.78279.1318588594550.905591497752586
0.79279.346780417270.899645559257725
0.8279.5782521785750.967324017971967
0.81279.8401506235831.10464646654419
0.82280.1446317510691.29301387800252
0.83280.4997338957451.50535057872011
0.84280.9072490980581.7083981776933
0.85281.361504136541.86727145631889
0.86281.849698505011.95219612883797
0.87282.3541851687261.94549183805586
0.88282.8565159731931.84897025521381
0.89283.3423150025841.68608221822675
0.9283.8053601566411.49821542933523
0.91284.2490171373631.33378515646109
0.92284.6837106107491.22818955143389
0.93285.1205367219091.18132604920021
0.94285.5631264397771.1514309463886
0.95286.0016683741591.08015033433864
0.96286.4132863628240.927031608466977
0.97286.7701789511850.696195327270191
0.98287.0506403774360.44511794701181
0.99287.2428889147610.268119734199312

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 247.084109179044 & 0.88849355131492 \tabularnewline
0.02 & 247.493890155508 & 0.634226090418158 \tabularnewline
0.03 & 247.859437572588 & 0.480048490481446 \tabularnewline
0.04 & 248.139317169859 & 0.411612781085981 \tabularnewline
0.05 & 248.349548046479 & 0.366998663612736 \tabularnewline
0.06 & 248.513818242866 & 0.327371138667046 \tabularnewline
0.07 & 248.649658441234 & 0.305599166863951 \tabularnewline
0.08 & 248.770641976994 & 0.31729765850192 \tabularnewline
0.09 & 248.889448837318 & 0.370791174413401 \tabularnewline
0.1 & 249.018854353914 & 0.469952247777041 \tabularnewline
0.11 & 249.171826165174 & 0.620823974726819 \tabularnewline
0.12 & 249.361455257208 & 0.829009139122412 \tabularnewline
0.13 & 249.600555847536 & 1.09551051063356 \tabularnewline
0.14 & 249.900626563189 & 1.41281997427907 \tabularnewline
0.15 & 250.270210811196 & 1.7622830994026 \tabularnewline
0.16 & 250.71308371029 & 2.11685148388015 \tabularnewline
0.17 & 251.226876297241 & 2.44473868953615 \tabularnewline
0.18 & 251.802665974769 & 2.71483162449387 \tabularnewline
0.19 & 252.42577855137 & 2.90342573584757 \tabularnewline
0.2 & 253.077686458606 & 2.99823776536408 \tabularnewline
0.21 & 253.738582357959 & 3.00006385911131 \tabularnewline
0.22 & 254.390051927594 & 2.92213403041895 \tabularnewline
0.23 & 255.017293990787 & 2.7866895827179 \tabularnewline
0.24 & 255.610505842205 & 2.62083320162929 \tabularnewline
0.25 & 256.165291818772 & 2.45086677575939 \tabularnewline
0.26 & 256.682182704119 & 2.29936284836589 \tabularnewline
0.27 & 257.165513677345 & 2.18179179835774 \tabularnewline
0.28 & 257.621976286177 & 2.10634952478289 \tabularnewline
0.29 & 258.059145293395 & 2.07171025380818 \tabularnewline
0.3 & 258.484213433741 & 2.07021388675248 \tabularnewline
0.31 & 258.903078721319 & 2.0920294782946 \tabularnewline
0.32 & 259.319844509254 & 2.12461641818947 \tabularnewline
0.33 & 259.736724393934 & 2.15763681565568 \tabularnewline
0.34 & 260.154294609207 & 2.18211511015585 \tabularnewline
0.35 & 260.572003212376 & 2.19494028530909 \tabularnewline
0.36 & 260.988825396028 & 2.19591599608184 \tabularnewline
0.37 & 261.40394700044 & 2.18856802622237 \tabularnewline
0.38 & 261.817364637211 & 2.1819355947218 \tabularnewline
0.39 & 262.230311140506 & 2.18466000961304 \tabularnewline
0.4 & 262.645447241359 & 2.20755650746915 \tabularnewline
0.41 & 263.066799245279 & 2.259590694431 \tabularnewline
0.42 & 263.499460934132 & 2.3464508501674 \tabularnewline
0.43 & 263.949108967138 & 2.46905091753742 \tabularnewline
0.44 & 264.421400194892 & 2.6250577156703 \tabularnewline
0.45 & 264.921325627415 & 2.80719974792499 \tabularnewline
0.46 & 265.452591791801 & 3.00620166955624 \tabularnewline
0.47 & 266.017090217027 & 3.20877855249777 \tabularnewline
0.48 & 266.614503961027 & 3.40247733459439 \tabularnewline
0.49 & 267.242088802171 & 3.57236790025428 \tabularnewline
0.5 & 267.89465590969 & 3.70457737021852 \tabularnewline
0.51 & 268.564770676006 & 3.7875311017787 \tabularnewline
0.52 & 269.243166833175 & 3.81192303523491 \tabularnewline
0.53 & 269.919355167879 & 3.772280971202 \tabularnewline
0.54 & 270.582383526722 & 3.66840348073651 \tabularnewline
0.55 & 271.221682960607 & 3.50399864380006 \tabularnewline
0.56 & 271.827918458483 & 3.28865384654699 \tabularnewline
0.57 & 272.393755885324 & 3.03467876111106 \tabularnewline
0.58 & 272.91446159344 & 2.75830421864278 \tabularnewline
0.59 & 273.388267179628 & 2.47659377511317 \tabularnewline
0.6 & 273.816456152293 & 2.20794014207282 \tabularnewline
0.61 & 274.203157838145 & 1.96798776083001 \tabularnewline
0.62 & 274.554862956189 & 1.77049526466494 \tabularnewline
0.63 & 274.879702468217 & 1.62557243202646 \tabularnewline
0.64 & 275.18655555868 & 1.537473775773 \tabularnewline
0.65 & 275.484073519317 & 1.50334008565413 \tabularnewline
0.66 & 275.779722893008 & 1.51288219522398 \tabularnewline
0.67 & 276.078960804958 & 1.54991709692401 \tabularnewline
0.68 & 276.384653698482 & 1.59662482554949 \tabularnewline
0.69 & 276.696833179591 & 1.63485506008712 \tabularnewline
0.7 & 277.012846989939 & 1.65008263618012 \tabularnewline
0.71 & 277.327911421777 & 1.63155961004543 \tabularnewline
0.72 & 277.636011459005 & 1.57479102736421 \tabularnewline
0.73 & 277.9310384978 & 1.48184107717247 \tabularnewline
0.74 & 278.208015107617 & 1.36017649867132 \tabularnewline
0.75 & 278.464240059772 & 1.22311457934445 \tabularnewline
0.76 & 278.7001949044 & 1.08798891879654 \tabularnewline
0.77 & 278.920077726735 & 0.97500524564583 \tabularnewline
0.78 & 279.131858859455 & 0.905591497752586 \tabularnewline
0.79 & 279.34678041727 & 0.899645559257725 \tabularnewline
0.8 & 279.578252178575 & 0.967324017971967 \tabularnewline
0.81 & 279.840150623583 & 1.10464646654419 \tabularnewline
0.82 & 280.144631751069 & 1.29301387800252 \tabularnewline
0.83 & 280.499733895745 & 1.50535057872011 \tabularnewline
0.84 & 280.907249098058 & 1.7083981776933 \tabularnewline
0.85 & 281.36150413654 & 1.86727145631889 \tabularnewline
0.86 & 281.84969850501 & 1.95219612883797 \tabularnewline
0.87 & 282.354185168726 & 1.94549183805586 \tabularnewline
0.88 & 282.856515973193 & 1.84897025521381 \tabularnewline
0.89 & 283.342315002584 & 1.68608221822675 \tabularnewline
0.9 & 283.805360156641 & 1.49821542933523 \tabularnewline
0.91 & 284.249017137363 & 1.33378515646109 \tabularnewline
0.92 & 284.683710610749 & 1.22818955143389 \tabularnewline
0.93 & 285.120536721909 & 1.18132604920021 \tabularnewline
0.94 & 285.563126439777 & 1.1514309463886 \tabularnewline
0.95 & 286.001668374159 & 1.08015033433864 \tabularnewline
0.96 & 286.413286362824 & 0.927031608466977 \tabularnewline
0.97 & 286.770178951185 & 0.696195327270191 \tabularnewline
0.98 & 287.050640377436 & 0.44511794701181 \tabularnewline
0.99 & 287.242888914761 & 0.268119734199312 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238509&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]247.084109179044[/C][C]0.88849355131492[/C][/ROW]
[ROW][C]0.02[/C][C]247.493890155508[/C][C]0.634226090418158[/C][/ROW]
[ROW][C]0.03[/C][C]247.859437572588[/C][C]0.480048490481446[/C][/ROW]
[ROW][C]0.04[/C][C]248.139317169859[/C][C]0.411612781085981[/C][/ROW]
[ROW][C]0.05[/C][C]248.349548046479[/C][C]0.366998663612736[/C][/ROW]
[ROW][C]0.06[/C][C]248.513818242866[/C][C]0.327371138667046[/C][/ROW]
[ROW][C]0.07[/C][C]248.649658441234[/C][C]0.305599166863951[/C][/ROW]
[ROW][C]0.08[/C][C]248.770641976994[/C][C]0.31729765850192[/C][/ROW]
[ROW][C]0.09[/C][C]248.889448837318[/C][C]0.370791174413401[/C][/ROW]
[ROW][C]0.1[/C][C]249.018854353914[/C][C]0.469952247777041[/C][/ROW]
[ROW][C]0.11[/C][C]249.171826165174[/C][C]0.620823974726819[/C][/ROW]
[ROW][C]0.12[/C][C]249.361455257208[/C][C]0.829009139122412[/C][/ROW]
[ROW][C]0.13[/C][C]249.600555847536[/C][C]1.09551051063356[/C][/ROW]
[ROW][C]0.14[/C][C]249.900626563189[/C][C]1.41281997427907[/C][/ROW]
[ROW][C]0.15[/C][C]250.270210811196[/C][C]1.7622830994026[/C][/ROW]
[ROW][C]0.16[/C][C]250.71308371029[/C][C]2.11685148388015[/C][/ROW]
[ROW][C]0.17[/C][C]251.226876297241[/C][C]2.44473868953615[/C][/ROW]
[ROW][C]0.18[/C][C]251.802665974769[/C][C]2.71483162449387[/C][/ROW]
[ROW][C]0.19[/C][C]252.42577855137[/C][C]2.90342573584757[/C][/ROW]
[ROW][C]0.2[/C][C]253.077686458606[/C][C]2.99823776536408[/C][/ROW]
[ROW][C]0.21[/C][C]253.738582357959[/C][C]3.00006385911131[/C][/ROW]
[ROW][C]0.22[/C][C]254.390051927594[/C][C]2.92213403041895[/C][/ROW]
[ROW][C]0.23[/C][C]255.017293990787[/C][C]2.7866895827179[/C][/ROW]
[ROW][C]0.24[/C][C]255.610505842205[/C][C]2.62083320162929[/C][/ROW]
[ROW][C]0.25[/C][C]256.165291818772[/C][C]2.45086677575939[/C][/ROW]
[ROW][C]0.26[/C][C]256.682182704119[/C][C]2.29936284836589[/C][/ROW]
[ROW][C]0.27[/C][C]257.165513677345[/C][C]2.18179179835774[/C][/ROW]
[ROW][C]0.28[/C][C]257.621976286177[/C][C]2.10634952478289[/C][/ROW]
[ROW][C]0.29[/C][C]258.059145293395[/C][C]2.07171025380818[/C][/ROW]
[ROW][C]0.3[/C][C]258.484213433741[/C][C]2.07021388675248[/C][/ROW]
[ROW][C]0.31[/C][C]258.903078721319[/C][C]2.0920294782946[/C][/ROW]
[ROW][C]0.32[/C][C]259.319844509254[/C][C]2.12461641818947[/C][/ROW]
[ROW][C]0.33[/C][C]259.736724393934[/C][C]2.15763681565568[/C][/ROW]
[ROW][C]0.34[/C][C]260.154294609207[/C][C]2.18211511015585[/C][/ROW]
[ROW][C]0.35[/C][C]260.572003212376[/C][C]2.19494028530909[/C][/ROW]
[ROW][C]0.36[/C][C]260.988825396028[/C][C]2.19591599608184[/C][/ROW]
[ROW][C]0.37[/C][C]261.40394700044[/C][C]2.18856802622237[/C][/ROW]
[ROW][C]0.38[/C][C]261.817364637211[/C][C]2.1819355947218[/C][/ROW]
[ROW][C]0.39[/C][C]262.230311140506[/C][C]2.18466000961304[/C][/ROW]
[ROW][C]0.4[/C][C]262.645447241359[/C][C]2.20755650746915[/C][/ROW]
[ROW][C]0.41[/C][C]263.066799245279[/C][C]2.259590694431[/C][/ROW]
[ROW][C]0.42[/C][C]263.499460934132[/C][C]2.3464508501674[/C][/ROW]
[ROW][C]0.43[/C][C]263.949108967138[/C][C]2.46905091753742[/C][/ROW]
[ROW][C]0.44[/C][C]264.421400194892[/C][C]2.6250577156703[/C][/ROW]
[ROW][C]0.45[/C][C]264.921325627415[/C][C]2.80719974792499[/C][/ROW]
[ROW][C]0.46[/C][C]265.452591791801[/C][C]3.00620166955624[/C][/ROW]
[ROW][C]0.47[/C][C]266.017090217027[/C][C]3.20877855249777[/C][/ROW]
[ROW][C]0.48[/C][C]266.614503961027[/C][C]3.40247733459439[/C][/ROW]
[ROW][C]0.49[/C][C]267.242088802171[/C][C]3.57236790025428[/C][/ROW]
[ROW][C]0.5[/C][C]267.89465590969[/C][C]3.70457737021852[/C][/ROW]
[ROW][C]0.51[/C][C]268.564770676006[/C][C]3.7875311017787[/C][/ROW]
[ROW][C]0.52[/C][C]269.243166833175[/C][C]3.81192303523491[/C][/ROW]
[ROW][C]0.53[/C][C]269.919355167879[/C][C]3.772280971202[/C][/ROW]
[ROW][C]0.54[/C][C]270.582383526722[/C][C]3.66840348073651[/C][/ROW]
[ROW][C]0.55[/C][C]271.221682960607[/C][C]3.50399864380006[/C][/ROW]
[ROW][C]0.56[/C][C]271.827918458483[/C][C]3.28865384654699[/C][/ROW]
[ROW][C]0.57[/C][C]272.393755885324[/C][C]3.03467876111106[/C][/ROW]
[ROW][C]0.58[/C][C]272.91446159344[/C][C]2.75830421864278[/C][/ROW]
[ROW][C]0.59[/C][C]273.388267179628[/C][C]2.47659377511317[/C][/ROW]
[ROW][C]0.6[/C][C]273.816456152293[/C][C]2.20794014207282[/C][/ROW]
[ROW][C]0.61[/C][C]274.203157838145[/C][C]1.96798776083001[/C][/ROW]
[ROW][C]0.62[/C][C]274.554862956189[/C][C]1.77049526466494[/C][/ROW]
[ROW][C]0.63[/C][C]274.879702468217[/C][C]1.62557243202646[/C][/ROW]
[ROW][C]0.64[/C][C]275.18655555868[/C][C]1.537473775773[/C][/ROW]
[ROW][C]0.65[/C][C]275.484073519317[/C][C]1.50334008565413[/C][/ROW]
[ROW][C]0.66[/C][C]275.779722893008[/C][C]1.51288219522398[/C][/ROW]
[ROW][C]0.67[/C][C]276.078960804958[/C][C]1.54991709692401[/C][/ROW]
[ROW][C]0.68[/C][C]276.384653698482[/C][C]1.59662482554949[/C][/ROW]
[ROW][C]0.69[/C][C]276.696833179591[/C][C]1.63485506008712[/C][/ROW]
[ROW][C]0.7[/C][C]277.012846989939[/C][C]1.65008263618012[/C][/ROW]
[ROW][C]0.71[/C][C]277.327911421777[/C][C]1.63155961004543[/C][/ROW]
[ROW][C]0.72[/C][C]277.636011459005[/C][C]1.57479102736421[/C][/ROW]
[ROW][C]0.73[/C][C]277.9310384978[/C][C]1.48184107717247[/C][/ROW]
[ROW][C]0.74[/C][C]278.208015107617[/C][C]1.36017649867132[/C][/ROW]
[ROW][C]0.75[/C][C]278.464240059772[/C][C]1.22311457934445[/C][/ROW]
[ROW][C]0.76[/C][C]278.7001949044[/C][C]1.08798891879654[/C][/ROW]
[ROW][C]0.77[/C][C]278.920077726735[/C][C]0.97500524564583[/C][/ROW]
[ROW][C]0.78[/C][C]279.131858859455[/C][C]0.905591497752586[/C][/ROW]
[ROW][C]0.79[/C][C]279.34678041727[/C][C]0.899645559257725[/C][/ROW]
[ROW][C]0.8[/C][C]279.578252178575[/C][C]0.967324017971967[/C][/ROW]
[ROW][C]0.81[/C][C]279.840150623583[/C][C]1.10464646654419[/C][/ROW]
[ROW][C]0.82[/C][C]280.144631751069[/C][C]1.29301387800252[/C][/ROW]
[ROW][C]0.83[/C][C]280.499733895745[/C][C]1.50535057872011[/C][/ROW]
[ROW][C]0.84[/C][C]280.907249098058[/C][C]1.7083981776933[/C][/ROW]
[ROW][C]0.85[/C][C]281.36150413654[/C][C]1.86727145631889[/C][/ROW]
[ROW][C]0.86[/C][C]281.84969850501[/C][C]1.95219612883797[/C][/ROW]
[ROW][C]0.87[/C][C]282.354185168726[/C][C]1.94549183805586[/C][/ROW]
[ROW][C]0.88[/C][C]282.856515973193[/C][C]1.84897025521381[/C][/ROW]
[ROW][C]0.89[/C][C]283.342315002584[/C][C]1.68608221822675[/C][/ROW]
[ROW][C]0.9[/C][C]283.805360156641[/C][C]1.49821542933523[/C][/ROW]
[ROW][C]0.91[/C][C]284.249017137363[/C][C]1.33378515646109[/C][/ROW]
[ROW][C]0.92[/C][C]284.683710610749[/C][C]1.22818955143389[/C][/ROW]
[ROW][C]0.93[/C][C]285.120536721909[/C][C]1.18132604920021[/C][/ROW]
[ROW][C]0.94[/C][C]285.563126439777[/C][C]1.1514309463886[/C][/ROW]
[ROW][C]0.95[/C][C]286.001668374159[/C][C]1.08015033433864[/C][/ROW]
[ROW][C]0.96[/C][C]286.413286362824[/C][C]0.927031608466977[/C][/ROW]
[ROW][C]0.97[/C][C]286.770178951185[/C][C]0.696195327270191[/C][/ROW]
[ROW][C]0.98[/C][C]287.050640377436[/C][C]0.44511794701181[/C][/ROW]
[ROW][C]0.99[/C][C]287.242888914761[/C][C]0.268119734199312[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238509&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238509&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
0.01247.0841091790440.88849355131492
0.02247.4938901555080.634226090418158
0.03247.8594375725880.480048490481446
0.04248.1393171698590.411612781085981
0.05248.3495480464790.366998663612736
0.06248.5138182428660.327371138667046
0.07248.6496584412340.305599166863951
0.08248.7706419769940.31729765850192
0.09248.8894488373180.370791174413401
0.1249.0188543539140.469952247777041
0.11249.1718261651740.620823974726819
0.12249.3614552572080.829009139122412
0.13249.6005558475361.09551051063356
0.14249.9006265631891.41281997427907
0.15250.2702108111961.7622830994026
0.16250.713083710292.11685148388015
0.17251.2268762972412.44473868953615
0.18251.8026659747692.71483162449387
0.19252.425778551372.90342573584757
0.2253.0776864586062.99823776536408
0.21253.7385823579593.00006385911131
0.22254.3900519275942.92213403041895
0.23255.0172939907872.7866895827179
0.24255.6105058422052.62083320162929
0.25256.1652918187722.45086677575939
0.26256.6821827041192.29936284836589
0.27257.1655136773452.18179179835774
0.28257.6219762861772.10634952478289
0.29258.0591452933952.07171025380818
0.3258.4842134337412.07021388675248
0.31258.9030787213192.0920294782946
0.32259.3198445092542.12461641818947
0.33259.7367243939342.15763681565568
0.34260.1542946092072.18211511015585
0.35260.5720032123762.19494028530909
0.36260.9888253960282.19591599608184
0.37261.403947000442.18856802622237
0.38261.8173646372112.1819355947218
0.39262.2303111405062.18466000961304
0.4262.6454472413592.20755650746915
0.41263.0667992452792.259590694431
0.42263.4994609341322.3464508501674
0.43263.9491089671382.46905091753742
0.44264.4214001948922.6250577156703
0.45264.9213256274152.80719974792499
0.46265.4525917918013.00620166955624
0.47266.0170902170273.20877855249777
0.48266.6145039610273.40247733459439
0.49267.2420888021713.57236790025428
0.5267.894655909693.70457737021852
0.51268.5647706760063.7875311017787
0.52269.2431668331753.81192303523491
0.53269.9193551678793.772280971202
0.54270.5823835267223.66840348073651
0.55271.2216829606073.50399864380006
0.56271.8279184584833.28865384654699
0.57272.3937558853243.03467876111106
0.58272.914461593442.75830421864278
0.59273.3882671796282.47659377511317
0.6273.8164561522932.20794014207282
0.61274.2031578381451.96798776083001
0.62274.5548629561891.77049526466494
0.63274.8797024682171.62557243202646
0.64275.186555558681.537473775773
0.65275.4840735193171.50334008565413
0.66275.7797228930081.51288219522398
0.67276.0789608049581.54991709692401
0.68276.3846536984821.59662482554949
0.69276.6968331795911.63485506008712
0.7277.0128469899391.65008263618012
0.71277.3279114217771.63155961004543
0.72277.6360114590051.57479102736421
0.73277.93103849781.48184107717247
0.74278.2080151076171.36017649867132
0.75278.4642400597721.22311457934445
0.76278.70019490441.08798891879654
0.77278.9200777267350.97500524564583
0.78279.1318588594550.905591497752586
0.79279.346780417270.899645559257725
0.8279.5782521785750.967324017971967
0.81279.8401506235831.10464646654419
0.82280.1446317510691.29301387800252
0.83280.4997338957451.50535057872011
0.84280.9072490980581.7083981776933
0.85281.361504136541.86727145631889
0.86281.849698505011.95219612883797
0.87282.3541851687261.94549183805586
0.88282.8565159731931.84897025521381
0.89283.3423150025841.68608221822675
0.9283.8053601566411.49821542933523
0.91284.2490171373631.33378515646109
0.92284.6837106107491.22818955143389
0.93285.1205367219091.18132604920021
0.94285.5631264397771.1514309463886
0.95286.0016683741591.08015033433864
0.96286.4132863628240.927031608466977
0.97286.7701789511850.696195327270191
0.98287.0506403774360.44511794701181
0.99287.2428889147610.268119734199312


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')