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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 computationThu, 13 Aug 2015 14:39:25 +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/Aug/13/t1439473313t7rhmp3winc7c41.htm/, Retrieved Thu, 16 May 2024 21:00:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=280049, Retrieved Thu, 16 May 2024 21:00:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact157

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] [] [2015-08-13 13:39:25] [70e23d918d09c907c02097a361cd6415] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
209704.00
208923.00
208131.00
206492.00
222706.00
221848.00
209704.00
201630.00
202411.00
202411.00
203280.00
204842.00
207273.00
207273.00
205711.00
201630.00
222706.00
225918.00
221067.00
209704.00
214566.00
207273.00
210562.00
212135.00
213774.00
209704.00
210562.00
204842.00
222706.00
228349.00
223498.00
214566.00
224279.00
213774.00
223498.00
222706.00
225137.00
216205.00
225918.00
225137.00
239712.00
236423.00
223498.00
216986.00
225918.00
213774.00
222706.00
224279.00
227568.00
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224279.00
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186274.00
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185405.00
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179762.00
149831.00
169268.00
178123.00
178123.00
167618.00
157905.00
157124.00
165979.00
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142549.00
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116611.00
140899.00
153824.00
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148973.00
137687.00
145761.00
148973.00
146542.00
122243.00
110968.00
119031.00
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119823.00
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119031.00
122243.00
115819.00
91531.00
80949.00
90662.00
63943.00
93093.00
110968.00

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280049&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280049&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280049&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0173642.111889043512470.4529197996
0.0284297.30553213768215.17530799812
0.0391393.31488480467150.36334733132
0.0496724.99378854618349.59898060685
0.05101687.3009163229151.59752889822
0.06106354.9280779848621.14989763578
0.07110392.4097507467301.95349896695
0.08113660.5522001256040.41090535533
0.09116294.4776078575318.80125691636
0.1118555.1422906535228.87407105085
0.11120695.879772165662.05449906755
0.12122901.9467542516427.00052196095
0.13125275.2372767167301.40015511776
0.14127838.1108933738075.48537126959
0.15130549.1040553268597.58730632596
0.16133328.5962438888805.57018664865
0.17136088.6495672948729.19805219088
0.18138758.4959521668466.40732260253
0.19141299.1715647118140.13613871077
0.2143705.6940257227860.3855146242
0.21145999.6849455647698.92089299644
0.22148217.4980728987680.23346733914
0.23150398.5993214957790.59775977393
0.24152577.1591012137995.8714926138
0.25154777.7437349658255.46107936377
0.26157014.4366131038534.43326803503
0.27159291.9880095618804.58049823735
0.28161607.6142534439043.79822833191
0.29163952.5668770599233.28853715036
0.3166313.2380764739354.79183482654
0.31168672.0781350899392.64850004395
0.32171008.806904819335.3195336014
0.33173302.2777961449182.26879776419
0.34175532.9967431448943.55558274793
0.35177685.8874137968643.48130705729
0.36179752.6157448818316.79370352848
0.37181732.7675911928001.33432377479
0.38183633.4268802197730.65819295638
0.39185467.1302224127524.13869238621
0.4187248.6185627987384.27632148959
0.41188991.1203416087295.30919544104
0.42190703.0033981827226.66649703127
0.43192385.5226050177141.3944362508
0.44194032.1199061167003.73567260318
0.45195629.3780957976785.30695775092
0.46197159.366590756472.29768089087
0.47198602.8210896826066.74896231503
0.48199942.4368967615584.98045064224
0.49201165.5731257925054.74916887204
0.5202265.8624786034507.31544403295
0.51203243.5416633243974.09103100588
0.52204104.6587714173478.9631852206
0.53204859.5669717363037.82825957147
0.54205521.2071650672658.1607265378
0.55206103.6093001432341.00966679294
0.56206620.8578764392083.47570273693
0.57207086.5574685511882.55101304683
0.58207513.6753629641734.98594468833
0.59207914.5689097281639.26355231448
0.6208301.0191259151592.68045829498
0.61208684.1550673271592.68428758253
0.62209074.2278086711633.90632623108
0.63209480.2569084531710.01402608123
0.64209909.6234319821812.34023968995
0.65210367.7255195451930.51442117046
0.66210857.8375623922055.00554506736
0.67211381.2982930152176.37674401054
0.68211938.0714082932290.01264546183
0.69212527.5768013852394.80934701338
0.7213149.5293544062494.75537900606
0.71213804.4282349482595.06591165519
0.72214493.3857970542699.18141798812
0.73215217.1843967042804.89446132733
0.74215974.7352808272901.86484930894
0.75216761.3721949682973.6780974604
0.76217567.5446066653000.45553857053
0.77218378.4438874072963.12298856003
0.78219174.9194139382849.5186701107
0.79219935.7548196772657.45847747505
0.8220641.0046349992397.56662934166
0.81221275.6906463522093.60367957514
0.82221832.8577910291778.3505735264
0.83222314.9911014231487.00050117098
0.84222733.2341921471249.02106264404
0.85223104.624762641080.48300614315
0.86223448.299465256981.037721987876
0.87223781.897919073936.668160941637
0.88224119.118397327926.885527455185
0.89224468.939758517932.900339807969
0.9224836.934637932941.042237311072
0.91225229.287683804950.31168329711
0.92225660.055465836978.832783877825
0.93226162.7412541261065.69874138186
0.94226811.1175965841274.4837459953
0.95227754.3079436111732.2341414488
0.96229232.8739540892591.37904738569
0.97231466.345864183597.00574645481
0.98234396.5530080593802.69065157035
0.99237547.7531790563096.52648428973

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 73642.1118890435 & 12470.4529197996 \tabularnewline
0.02 & 84297.3055321376 & 8215.17530799812 \tabularnewline
0.03 & 91393.3148848046 & 7150.36334733132 \tabularnewline
0.04 & 96724.9937885461 & 8349.59898060685 \tabularnewline
0.05 & 101687.300916322 & 9151.59752889822 \tabularnewline
0.06 & 106354.928077984 & 8621.14989763578 \tabularnewline
0.07 & 110392.409750746 & 7301.95349896695 \tabularnewline
0.08 & 113660.552200125 & 6040.41090535533 \tabularnewline
0.09 & 116294.477607857 & 5318.80125691636 \tabularnewline
0.1 & 118555.142290653 & 5228.87407105085 \tabularnewline
0.11 & 120695.87977216 & 5662.05449906755 \tabularnewline
0.12 & 122901.946754251 & 6427.00052196095 \tabularnewline
0.13 & 125275.237276716 & 7301.40015511776 \tabularnewline
0.14 & 127838.110893373 & 8075.48537126959 \tabularnewline
0.15 & 130549.104055326 & 8597.58730632596 \tabularnewline
0.16 & 133328.596243888 & 8805.57018664865 \tabularnewline
0.17 & 136088.649567294 & 8729.19805219088 \tabularnewline
0.18 & 138758.495952166 & 8466.40732260253 \tabularnewline
0.19 & 141299.171564711 & 8140.13613871077 \tabularnewline
0.2 & 143705.694025722 & 7860.3855146242 \tabularnewline
0.21 & 145999.684945564 & 7698.92089299644 \tabularnewline
0.22 & 148217.498072898 & 7680.23346733914 \tabularnewline
0.23 & 150398.599321495 & 7790.59775977393 \tabularnewline
0.24 & 152577.159101213 & 7995.8714926138 \tabularnewline
0.25 & 154777.743734965 & 8255.46107936377 \tabularnewline
0.26 & 157014.436613103 & 8534.43326803503 \tabularnewline
0.27 & 159291.988009561 & 8804.58049823735 \tabularnewline
0.28 & 161607.614253443 & 9043.79822833191 \tabularnewline
0.29 & 163952.566877059 & 9233.28853715036 \tabularnewline
0.3 & 166313.238076473 & 9354.79183482654 \tabularnewline
0.31 & 168672.078135089 & 9392.64850004395 \tabularnewline
0.32 & 171008.80690481 & 9335.3195336014 \tabularnewline
0.33 & 173302.277796144 & 9182.26879776419 \tabularnewline
0.34 & 175532.996743144 & 8943.55558274793 \tabularnewline
0.35 & 177685.887413796 & 8643.48130705729 \tabularnewline
0.36 & 179752.615744881 & 8316.79370352848 \tabularnewline
0.37 & 181732.767591192 & 8001.33432377479 \tabularnewline
0.38 & 183633.426880219 & 7730.65819295638 \tabularnewline
0.39 & 185467.130222412 & 7524.13869238621 \tabularnewline
0.4 & 187248.618562798 & 7384.27632148959 \tabularnewline
0.41 & 188991.120341608 & 7295.30919544104 \tabularnewline
0.42 & 190703.003398182 & 7226.66649703127 \tabularnewline
0.43 & 192385.522605017 & 7141.3944362508 \tabularnewline
0.44 & 194032.119906116 & 7003.73567260318 \tabularnewline
0.45 & 195629.378095797 & 6785.30695775092 \tabularnewline
0.46 & 197159.36659075 & 6472.29768089087 \tabularnewline
0.47 & 198602.821089682 & 6066.74896231503 \tabularnewline
0.48 & 199942.436896761 & 5584.98045064224 \tabularnewline
0.49 & 201165.573125792 & 5054.74916887204 \tabularnewline
0.5 & 202265.862478603 & 4507.31544403295 \tabularnewline
0.51 & 203243.541663324 & 3974.09103100588 \tabularnewline
0.52 & 204104.658771417 & 3478.9631852206 \tabularnewline
0.53 & 204859.566971736 & 3037.82825957147 \tabularnewline
0.54 & 205521.207165067 & 2658.1607265378 \tabularnewline
0.55 & 206103.609300143 & 2341.00966679294 \tabularnewline
0.56 & 206620.857876439 & 2083.47570273693 \tabularnewline
0.57 & 207086.557468551 & 1882.55101304683 \tabularnewline
0.58 & 207513.675362964 & 1734.98594468833 \tabularnewline
0.59 & 207914.568909728 & 1639.26355231448 \tabularnewline
0.6 & 208301.019125915 & 1592.68045829498 \tabularnewline
0.61 & 208684.155067327 & 1592.68428758253 \tabularnewline
0.62 & 209074.227808671 & 1633.90632623108 \tabularnewline
0.63 & 209480.256908453 & 1710.01402608123 \tabularnewline
0.64 & 209909.623431982 & 1812.34023968995 \tabularnewline
0.65 & 210367.725519545 & 1930.51442117046 \tabularnewline
0.66 & 210857.837562392 & 2055.00554506736 \tabularnewline
0.67 & 211381.298293015 & 2176.37674401054 \tabularnewline
0.68 & 211938.071408293 & 2290.01264546183 \tabularnewline
0.69 & 212527.576801385 & 2394.80934701338 \tabularnewline
0.7 & 213149.529354406 & 2494.75537900606 \tabularnewline
0.71 & 213804.428234948 & 2595.06591165519 \tabularnewline
0.72 & 214493.385797054 & 2699.18141798812 \tabularnewline
0.73 & 215217.184396704 & 2804.89446132733 \tabularnewline
0.74 & 215974.735280827 & 2901.86484930894 \tabularnewline
0.75 & 216761.372194968 & 2973.6780974604 \tabularnewline
0.76 & 217567.544606665 & 3000.45553857053 \tabularnewline
0.77 & 218378.443887407 & 2963.12298856003 \tabularnewline
0.78 & 219174.919413938 & 2849.5186701107 \tabularnewline
0.79 & 219935.754819677 & 2657.45847747505 \tabularnewline
0.8 & 220641.004634999 & 2397.56662934166 \tabularnewline
0.81 & 221275.690646352 & 2093.60367957514 \tabularnewline
0.82 & 221832.857791029 & 1778.3505735264 \tabularnewline
0.83 & 222314.991101423 & 1487.00050117098 \tabularnewline
0.84 & 222733.234192147 & 1249.02106264404 \tabularnewline
0.85 & 223104.62476264 & 1080.48300614315 \tabularnewline
0.86 & 223448.299465256 & 981.037721987876 \tabularnewline
0.87 & 223781.897919073 & 936.668160941637 \tabularnewline
0.88 & 224119.118397327 & 926.885527455185 \tabularnewline
0.89 & 224468.939758517 & 932.900339807969 \tabularnewline
0.9 & 224836.934637932 & 941.042237311072 \tabularnewline
0.91 & 225229.287683804 & 950.31168329711 \tabularnewline
0.92 & 225660.055465836 & 978.832783877825 \tabularnewline
0.93 & 226162.741254126 & 1065.69874138186 \tabularnewline
0.94 & 226811.117596584 & 1274.4837459953 \tabularnewline
0.95 & 227754.307943611 & 1732.2341414488 \tabularnewline
0.96 & 229232.873954089 & 2591.37904738569 \tabularnewline
0.97 & 231466.34586418 & 3597.00574645481 \tabularnewline
0.98 & 234396.553008059 & 3802.69065157035 \tabularnewline
0.99 & 237547.753179056 & 3096.52648428973 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280049&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]73642.1118890435[/C][C]12470.4529197996[/C][/ROW]
[ROW][C]0.02[/C][C]84297.3055321376[/C][C]8215.17530799812[/C][/ROW]
[ROW][C]0.03[/C][C]91393.3148848046[/C][C]7150.36334733132[/C][/ROW]
[ROW][C]0.04[/C][C]96724.9937885461[/C][C]8349.59898060685[/C][/ROW]
[ROW][C]0.05[/C][C]101687.300916322[/C][C]9151.59752889822[/C][/ROW]
[ROW][C]0.06[/C][C]106354.928077984[/C][C]8621.14989763578[/C][/ROW]
[ROW][C]0.07[/C][C]110392.409750746[/C][C]7301.95349896695[/C][/ROW]
[ROW][C]0.08[/C][C]113660.552200125[/C][C]6040.41090535533[/C][/ROW]
[ROW][C]0.09[/C][C]116294.477607857[/C][C]5318.80125691636[/C][/ROW]
[ROW][C]0.1[/C][C]118555.142290653[/C][C]5228.87407105085[/C][/ROW]
[ROW][C]0.11[/C][C]120695.87977216[/C][C]5662.05449906755[/C][/ROW]
[ROW][C]0.12[/C][C]122901.946754251[/C][C]6427.00052196095[/C][/ROW]
[ROW][C]0.13[/C][C]125275.237276716[/C][C]7301.40015511776[/C][/ROW]
[ROW][C]0.14[/C][C]127838.110893373[/C][C]8075.48537126959[/C][/ROW]
[ROW][C]0.15[/C][C]130549.104055326[/C][C]8597.58730632596[/C][/ROW]
[ROW][C]0.16[/C][C]133328.596243888[/C][C]8805.57018664865[/C][/ROW]
[ROW][C]0.17[/C][C]136088.649567294[/C][C]8729.19805219088[/C][/ROW]
[ROW][C]0.18[/C][C]138758.495952166[/C][C]8466.40732260253[/C][/ROW]
[ROW][C]0.19[/C][C]141299.171564711[/C][C]8140.13613871077[/C][/ROW]
[ROW][C]0.2[/C][C]143705.694025722[/C][C]7860.3855146242[/C][/ROW]
[ROW][C]0.21[/C][C]145999.684945564[/C][C]7698.92089299644[/C][/ROW]
[ROW][C]0.22[/C][C]148217.498072898[/C][C]7680.23346733914[/C][/ROW]
[ROW][C]0.23[/C][C]150398.599321495[/C][C]7790.59775977393[/C][/ROW]
[ROW][C]0.24[/C][C]152577.159101213[/C][C]7995.8714926138[/C][/ROW]
[ROW][C]0.25[/C][C]154777.743734965[/C][C]8255.46107936377[/C][/ROW]
[ROW][C]0.26[/C][C]157014.436613103[/C][C]8534.43326803503[/C][/ROW]
[ROW][C]0.27[/C][C]159291.988009561[/C][C]8804.58049823735[/C][/ROW]
[ROW][C]0.28[/C][C]161607.614253443[/C][C]9043.79822833191[/C][/ROW]
[ROW][C]0.29[/C][C]163952.566877059[/C][C]9233.28853715036[/C][/ROW]
[ROW][C]0.3[/C][C]166313.238076473[/C][C]9354.79183482654[/C][/ROW]
[ROW][C]0.31[/C][C]168672.078135089[/C][C]9392.64850004395[/C][/ROW]
[ROW][C]0.32[/C][C]171008.80690481[/C][C]9335.3195336014[/C][/ROW]
[ROW][C]0.33[/C][C]173302.277796144[/C][C]9182.26879776419[/C][/ROW]
[ROW][C]0.34[/C][C]175532.996743144[/C][C]8943.55558274793[/C][/ROW]
[ROW][C]0.35[/C][C]177685.887413796[/C][C]8643.48130705729[/C][/ROW]
[ROW][C]0.36[/C][C]179752.615744881[/C][C]8316.79370352848[/C][/ROW]
[ROW][C]0.37[/C][C]181732.767591192[/C][C]8001.33432377479[/C][/ROW]
[ROW][C]0.38[/C][C]183633.426880219[/C][C]7730.65819295638[/C][/ROW]
[ROW][C]0.39[/C][C]185467.130222412[/C][C]7524.13869238621[/C][/ROW]
[ROW][C]0.4[/C][C]187248.618562798[/C][C]7384.27632148959[/C][/ROW]
[ROW][C]0.41[/C][C]188991.120341608[/C][C]7295.30919544104[/C][/ROW]
[ROW][C]0.42[/C][C]190703.003398182[/C][C]7226.66649703127[/C][/ROW]
[ROW][C]0.43[/C][C]192385.522605017[/C][C]7141.3944362508[/C][/ROW]
[ROW][C]0.44[/C][C]194032.119906116[/C][C]7003.73567260318[/C][/ROW]
[ROW][C]0.45[/C][C]195629.378095797[/C][C]6785.30695775092[/C][/ROW]
[ROW][C]0.46[/C][C]197159.36659075[/C][C]6472.29768089087[/C][/ROW]
[ROW][C]0.47[/C][C]198602.821089682[/C][C]6066.74896231503[/C][/ROW]
[ROW][C]0.48[/C][C]199942.436896761[/C][C]5584.98045064224[/C][/ROW]
[ROW][C]0.49[/C][C]201165.573125792[/C][C]5054.74916887204[/C][/ROW]
[ROW][C]0.5[/C][C]202265.862478603[/C][C]4507.31544403295[/C][/ROW]
[ROW][C]0.51[/C][C]203243.541663324[/C][C]3974.09103100588[/C][/ROW]
[ROW][C]0.52[/C][C]204104.658771417[/C][C]3478.9631852206[/C][/ROW]
[ROW][C]0.53[/C][C]204859.566971736[/C][C]3037.82825957147[/C][/ROW]
[ROW][C]0.54[/C][C]205521.207165067[/C][C]2658.1607265378[/C][/ROW]
[ROW][C]0.55[/C][C]206103.609300143[/C][C]2341.00966679294[/C][/ROW]
[ROW][C]0.56[/C][C]206620.857876439[/C][C]2083.47570273693[/C][/ROW]
[ROW][C]0.57[/C][C]207086.557468551[/C][C]1882.55101304683[/C][/ROW]
[ROW][C]0.58[/C][C]207513.675362964[/C][C]1734.98594468833[/C][/ROW]
[ROW][C]0.59[/C][C]207914.568909728[/C][C]1639.26355231448[/C][/ROW]
[ROW][C]0.6[/C][C]208301.019125915[/C][C]1592.68045829498[/C][/ROW]
[ROW][C]0.61[/C][C]208684.155067327[/C][C]1592.68428758253[/C][/ROW]
[ROW][C]0.62[/C][C]209074.227808671[/C][C]1633.90632623108[/C][/ROW]
[ROW][C]0.63[/C][C]209480.256908453[/C][C]1710.01402608123[/C][/ROW]
[ROW][C]0.64[/C][C]209909.623431982[/C][C]1812.34023968995[/C][/ROW]
[ROW][C]0.65[/C][C]210367.725519545[/C][C]1930.51442117046[/C][/ROW]
[ROW][C]0.66[/C][C]210857.837562392[/C][C]2055.00554506736[/C][/ROW]
[ROW][C]0.67[/C][C]211381.298293015[/C][C]2176.37674401054[/C][/ROW]
[ROW][C]0.68[/C][C]211938.071408293[/C][C]2290.01264546183[/C][/ROW]
[ROW][C]0.69[/C][C]212527.576801385[/C][C]2394.80934701338[/C][/ROW]
[ROW][C]0.7[/C][C]213149.529354406[/C][C]2494.75537900606[/C][/ROW]
[ROW][C]0.71[/C][C]213804.428234948[/C][C]2595.06591165519[/C][/ROW]
[ROW][C]0.72[/C][C]214493.385797054[/C][C]2699.18141798812[/C][/ROW]
[ROW][C]0.73[/C][C]215217.184396704[/C][C]2804.89446132733[/C][/ROW]
[ROW][C]0.74[/C][C]215974.735280827[/C][C]2901.86484930894[/C][/ROW]
[ROW][C]0.75[/C][C]216761.372194968[/C][C]2973.6780974604[/C][/ROW]
[ROW][C]0.76[/C][C]217567.544606665[/C][C]3000.45553857053[/C][/ROW]
[ROW][C]0.77[/C][C]218378.443887407[/C][C]2963.12298856003[/C][/ROW]
[ROW][C]0.78[/C][C]219174.919413938[/C][C]2849.5186701107[/C][/ROW]
[ROW][C]0.79[/C][C]219935.754819677[/C][C]2657.45847747505[/C][/ROW]
[ROW][C]0.8[/C][C]220641.004634999[/C][C]2397.56662934166[/C][/ROW]
[ROW][C]0.81[/C][C]221275.690646352[/C][C]2093.60367957514[/C][/ROW]
[ROW][C]0.82[/C][C]221832.857791029[/C][C]1778.3505735264[/C][/ROW]
[ROW][C]0.83[/C][C]222314.991101423[/C][C]1487.00050117098[/C][/ROW]
[ROW][C]0.84[/C][C]222733.234192147[/C][C]1249.02106264404[/C][/ROW]
[ROW][C]0.85[/C][C]223104.62476264[/C][C]1080.48300614315[/C][/ROW]
[ROW][C]0.86[/C][C]223448.299465256[/C][C]981.037721987876[/C][/ROW]
[ROW][C]0.87[/C][C]223781.897919073[/C][C]936.668160941637[/C][/ROW]
[ROW][C]0.88[/C][C]224119.118397327[/C][C]926.885527455185[/C][/ROW]
[ROW][C]0.89[/C][C]224468.939758517[/C][C]932.900339807969[/C][/ROW]
[ROW][C]0.9[/C][C]224836.934637932[/C][C]941.042237311072[/C][/ROW]
[ROW][C]0.91[/C][C]225229.287683804[/C][C]950.31168329711[/C][/ROW]
[ROW][C]0.92[/C][C]225660.055465836[/C][C]978.832783877825[/C][/ROW]
[ROW][C]0.93[/C][C]226162.741254126[/C][C]1065.69874138186[/C][/ROW]
[ROW][C]0.94[/C][C]226811.117596584[/C][C]1274.4837459953[/C][/ROW]
[ROW][C]0.95[/C][C]227754.307943611[/C][C]1732.2341414488[/C][/ROW]
[ROW][C]0.96[/C][C]229232.873954089[/C][C]2591.37904738569[/C][/ROW]
[ROW][C]0.97[/C][C]231466.34586418[/C][C]3597.00574645481[/C][/ROW]
[ROW][C]0.98[/C][C]234396.553008059[/C][C]3802.69065157035[/C][/ROW]
[ROW][C]0.99[/C][C]237547.753179056[/C][C]3096.52648428973[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280049&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280049&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
0.0173642.111889043512470.4529197996
0.0284297.30553213768215.17530799812
0.0391393.31488480467150.36334733132
0.0496724.99378854618349.59898060685
0.05101687.3009163229151.59752889822
0.06106354.9280779848621.14989763578
0.07110392.4097507467301.95349896695
0.08113660.5522001256040.41090535533
0.09116294.4776078575318.80125691636
0.1118555.1422906535228.87407105085
0.11120695.879772165662.05449906755
0.12122901.9467542516427.00052196095
0.13125275.2372767167301.40015511776
0.14127838.1108933738075.48537126959
0.15130549.1040553268597.58730632596
0.16133328.5962438888805.57018664865
0.17136088.6495672948729.19805219088
0.18138758.4959521668466.40732260253
0.19141299.1715647118140.13613871077
0.2143705.6940257227860.3855146242
0.21145999.6849455647698.92089299644
0.22148217.4980728987680.23346733914
0.23150398.5993214957790.59775977393
0.24152577.1591012137995.8714926138
0.25154777.7437349658255.46107936377
0.26157014.4366131038534.43326803503
0.27159291.9880095618804.58049823735
0.28161607.6142534439043.79822833191
0.29163952.5668770599233.28853715036
0.3166313.2380764739354.79183482654
0.31168672.0781350899392.64850004395
0.32171008.806904819335.3195336014
0.33173302.2777961449182.26879776419
0.34175532.9967431448943.55558274793
0.35177685.8874137968643.48130705729
0.36179752.6157448818316.79370352848
0.37181732.7675911928001.33432377479
0.38183633.4268802197730.65819295638
0.39185467.1302224127524.13869238621
0.4187248.6185627987384.27632148959
0.41188991.1203416087295.30919544104
0.42190703.0033981827226.66649703127
0.43192385.5226050177141.3944362508
0.44194032.1199061167003.73567260318
0.45195629.3780957976785.30695775092
0.46197159.366590756472.29768089087
0.47198602.8210896826066.74896231503
0.48199942.4368967615584.98045064224
0.49201165.5731257925054.74916887204
0.5202265.8624786034507.31544403295
0.51203243.5416633243974.09103100588
0.52204104.6587714173478.9631852206
0.53204859.5669717363037.82825957147
0.54205521.2071650672658.1607265378
0.55206103.6093001432341.00966679294
0.56206620.8578764392083.47570273693
0.57207086.5574685511882.55101304683
0.58207513.6753629641734.98594468833
0.59207914.5689097281639.26355231448
0.6208301.0191259151592.68045829498
0.61208684.1550673271592.68428758253
0.62209074.2278086711633.90632623108
0.63209480.2569084531710.01402608123
0.64209909.6234319821812.34023968995
0.65210367.7255195451930.51442117046
0.66210857.8375623922055.00554506736
0.67211381.2982930152176.37674401054
0.68211938.0714082932290.01264546183
0.69212527.5768013852394.80934701338
0.7213149.5293544062494.75537900606
0.71213804.4282349482595.06591165519
0.72214493.3857970542699.18141798812
0.73215217.1843967042804.89446132733
0.74215974.7352808272901.86484930894
0.75216761.3721949682973.6780974604
0.76217567.5446066653000.45553857053
0.77218378.4438874072963.12298856003
0.78219174.9194139382849.5186701107
0.79219935.7548196772657.45847747505
0.8220641.0046349992397.56662934166
0.81221275.6906463522093.60367957514
0.82221832.8577910291778.3505735264
0.83222314.9911014231487.00050117098
0.84222733.2341921471249.02106264404
0.85223104.624762641080.48300614315
0.86223448.299465256981.037721987876
0.87223781.897919073936.668160941637
0.88224119.118397327926.885527455185
0.89224468.939758517932.900339807969
0.9224836.934637932941.042237311072
0.91225229.287683804950.31168329711
0.92225660.055465836978.832783877825
0.93226162.7412541261065.69874138186
0.94226811.1175965841274.4837459953
0.95227754.3079436111732.2341414488
0.96229232.8739540892591.37904738569
0.97231466.345864183597.00574645481
0.98234396.5530080593802.69065157035
0.99237547.7531790563096.52648428973


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 12 ; par2 = Double ; par3 = additive ;
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')