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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 08 Mar 2010 12:41:58 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Mar/08/t1268077423qxl5gpp7b81t16u.htm/, Retrieved Fri, 28 Jan 2022 09:20:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74178, Retrieved Fri, 28 Jan 2022 09:20:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact128
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Harrell-Davis Quantiles] [Van der Linden Ke...] [2009-03-13 10:15:14] [74be16979710d4c4e7c6647856088456]
-  M D    [Harrell-Davis Quantiles] [] [2010-03-08 19:41:58] [7d0f6047abcd536bf9a7416f4ee4c3aa] [Current]
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Dataseries X:
93.2  
96
95.2   
77.1
70.9
64.8
70.1
77.3
79.5
100.6
100.7
107.1
95.9
82.8
83.3
80
80.4
67.5
75.7
71.1
89.3
101.1
105.2
114.1
96.3
84.4
91.2
81.9
80.5
70.4
74.8
75.9
86.3
98.7
100.9
113.8
89.8
84.4
87.2
85.6
72
69.2
77.5
78.1
94.3
97.7
100.2
116.4
97.1
93
96
80.5
76.1
69.9
73.6
92.6
94.2
93.5
108.5
109.4
105.1
92.5
97.1
81.4
79.1
72.1
78.7
87.1
91.4
109.9
116.3
113
100
84.8
94.3
87.1
90.3
72.4
84.9
92.7
92.2
114.9
112.5
118.3
106
91.2
96.6
96.3
88.2
70.2
86.5
88.2
102.8
119.1
119.2
125.1
106.1
102.1
105.2
101
84.3
87.5
92.7
94.4
113
113.9
122.9
132.7
106.9
96.6
127.3
98.2
100.2
89.4
95.3
104.2
106.4
116.2
135.9
134
104.6
107.1
123.5
98.8
98.6
90.6
89.1
105.2
114
122.1
138
142.2
116.4
112.6
123.8
103.6
113.9
98.6
95
116
113.9
127.5
131.4
145.9
131.5
131
130.5
118.9
114.3
85.7
104.6
105.1
117.3
142.5
140
159.8
131.2
125.4
126.5
119.4
113.5
98.7
114.5
113.8
133.1
143.4
137.3
165.2
126.9
124
135.7
130
109.4
117.8
120.3
121
132.3
142.9
147.4
175.9
132.6
123.7
153.3
134
119.6
116.2
118.6
130.7
129.3
144.4
163.2
179.4
128.1
138.4
152.7
120
140.5
116.2
121.4
127.8
143.6
157.6
166.2
182.3
153.1
147.6
157.7
137.2
151.5
98.7
145.8
151.7
129.4
174.1
197
193.9
164.1
142.8
157.9
159.2
162.2
123.1
130
150.1
169.4
179.7
182.1
194.3
161.4
169.4
168.8
158.1
158.5
135.3
149.3
143.4
142.2
188.4
166.2
199.2
182.7
145.2
182.1
158.7
141.6
132.6
139.6
147
166.6
157
180.4
210.2
159.8
157.8
168.2
158.4
152
142.2
137.2
152.6
166.8
165.6
198.6
201.5
170.7
164.4
179.7
157
168
139.3
138.6
153.4
138.9
172.1
198.4
217.8
173.7
153.8
175.6
147.1
160.3
135.2
148.8
151
148.2
182.2
189.2
183.1
170
158.4
176.1
156.2
153.2
117.9
149.8
156.6
166.7
156.8
158.6
210.8
203.6
175.2
168.7
155.9
147.3
137
141.1
167.4
160.2
191.9
174.4
208.2
159.4
161.1
172.1
158.4
114.6
159.6
159.7
159.4
160.7
165.5
205
205.2
141.6
148.1
184.9
132.5
137.3
135.5
121.7
166.1
146.8
162.8
186.8
185.5
151.5
158.1
143
151.2
147.6
130.7
137.5
146.1
133.6
167.9
181.9
202
166.5
151.3
146.2
148.3
144.7
123.6
151.6
133.9
137.4
181.6
182
190
161.2
155.5
141.9
164.6
136.2
126.8
152.5
126.6
150.1
186.3
147.5
200.4
177.2
127.4
177.1
154.4
135.2
126.4
147.3
140.6
152.3
151.2
172.2
215.3
154.1
159.3
160.4
151.9
148.4
139.6
148.2
153.5
145.1
183.7
210.5
203.3
153.3
144.3
169.6
143.7
160.1
135.6
141.8
159.9
145.7
183.5
198.2
186.8
172
150.6
163.3
153.7
152.9
135.5
148.5
148.4
133.6
194.1
208.6
197.3
164.4
148.1
152
144.1
155
124.5
153
146
138
190
192
192
147
133
163
150
129
131
145
137
138
168
176
188
139
143
150
154
137
129
128
140
143
151
177
184
151
134
164
126
131
125
127
143
143
160
190
182
138
136
152
127
151
130
119
153




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74178&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74178&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74178&T=0

As an alternative you can also use a 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'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0169.9725725037070.742321839111027
0.0272.00106463866361.56704393411405
0.0374.80914297992242.09751853886105
0.0477.39604054505051.90740609251316
0.0579.56451038079571.98510174801368
0.0681.67679130366552.20421475428223
0.0783.74162194082832.18015353209801
0.0885.58590030288392.026366528466
0.0987.24793575507032.02871194510147
0.188.85492595132512.10174771108853
0.1190.4153471287062.07823617688145
0.1291.86279977820331.95390144029750
0.1393.17155279658271.83794898392248
0.1494.37767596003851.78740482013736
0.1595.53003756953731.79440024791037
0.1696.67115957810011.86552640230247
0.1797.84715378478072.01878453263974
0.1899.10853378308622.25967030687905
0.19100.4977003418672.55977345237542
0.2102.0267646419472.84664145514702
0.21103.6756881951063.08703044451228
0.22105.4296623826803.33729123326422
0.23107.2911312559433.59037660278748
0.24109.2199831885003.67806748753832
0.25111.0928325664253.45622285986295
0.26112.7738494743623.02363912927876
0.27114.2232922032712.64109409122930
0.28115.5139100899252.47868840471345
0.29116.7564897314182.52071351108176
0.3118.0309701476272.66675068690789
0.31119.3697317079542.83276284088588
0.32120.7669168123912.95236080416918
0.33122.1873923739992.97120971050444
0.34123.5792289134682.87180552445787
0.35124.8959018065262.69272451820376
0.36126.1170123423862.50306205786593
0.37127.2519984824782.3591026617778
0.38128.3255880758632.26943537680981
0.39129.3594494233052.21275179619681
0.4130.3651082933052.16821613811089
0.41131.348524344872.13431574719244
0.42132.3148480652712.10982195971750
0.43133.2664349124552.08422367788146
0.44134.1988120584122.03696096940188
0.45135.1023210295471.96625642498783
0.46135.9707213864831.89101386905193
0.47136.8107115865121.84698963255346
0.48137.6437548915391.86435581782525
0.49138.4956244069631.93426159907284
0.5139.3787505120922.00480478350668
0.51140.2810532790572.01929256452953
0.52141.1727090578891.95639307455966
0.53142.0276846552031.85392057876254
0.54142.8423569402471.77235294702246
0.55143.6347575087061.74833575584794
0.56144.4257678353951.75882079471999
0.57145.2205110462621.75563580310658
0.58146.0068694431561.71225195014306
0.59146.7706063550891.64538977024744
0.6147.5110009992111.59707286020104
0.61148.2412919250351.58653249502478
0.62148.9733176184571.58905175118417
0.63149.7019289208551.55673604924405
0.64150.4059920675561.46915748352665
0.65151.0661740301401.35414764599842
0.66151.6833758785111.26699202303774
0.67152.2845546059801.26253920629377
0.68152.9166970131111.36993239737758
0.69153.6325492152821.5804087088304
0.7154.4659338497491.82144809861114
0.71155.4036523675851.97371814247832
0.72156.3799764608451.94849867517437
0.73157.3108301864891.76604043039186
0.74158.1452355403621.53570657462969
0.75158.8940016947531.38651717495951
0.76159.6233204562491.40579950672055
0.77160.4262101335101.60482685780193
0.78161.3791804570791.90119529820779
0.79162.4962648997892.14135213467134
0.8163.7185239393992.21686009049188
0.81164.9629200621722.15402774431177
0.82166.1947459490362.09035270264106
0.83167.4644409785812.17397579475800
0.84168.8847431527482.45686950494442
0.85170.5600211929622.84584409385751
0.86172.5100435300803.15765269890224
0.87174.6625924667523.29004865591342
0.88176.9100518286473.24406310394407
0.89179.1001809086352.93273610195184
0.9181.0431218755242.39211402132056
0.91182.7667135903242.12461019196329
0.92184.6395963746282.42120604261715
0.93186.9568550801572.80689943286474
0.94189.6887006110522.98252879003244
0.95192.8378017952333.17795472822319
0.96196.3762283540653.07496543261594
0.97200.0162529662972.70776087426703
0.98204.1934653563242.76437066220641
0.99209.4214482440952.23027514426904

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 69.972572503707 & 0.742321839111027 \tabularnewline
0.02 & 72.0010646386636 & 1.56704393411405 \tabularnewline
0.03 & 74.8091429799224 & 2.09751853886105 \tabularnewline
0.04 & 77.3960405450505 & 1.90740609251316 \tabularnewline
0.05 & 79.5645103807957 & 1.98510174801368 \tabularnewline
0.06 & 81.6767913036655 & 2.20421475428223 \tabularnewline
0.07 & 83.7416219408283 & 2.18015353209801 \tabularnewline
0.08 & 85.5859003028839 & 2.026366528466 \tabularnewline
0.09 & 87.2479357550703 & 2.02871194510147 \tabularnewline
0.1 & 88.8549259513251 & 2.10174771108853 \tabularnewline
0.11 & 90.415347128706 & 2.07823617688145 \tabularnewline
0.12 & 91.8627997782033 & 1.95390144029750 \tabularnewline
0.13 & 93.1715527965827 & 1.83794898392248 \tabularnewline
0.14 & 94.3776759600385 & 1.78740482013736 \tabularnewline
0.15 & 95.5300375695373 & 1.79440024791037 \tabularnewline
0.16 & 96.6711595781001 & 1.86552640230247 \tabularnewline
0.17 & 97.8471537847807 & 2.01878453263974 \tabularnewline
0.18 & 99.1085337830862 & 2.25967030687905 \tabularnewline
0.19 & 100.497700341867 & 2.55977345237542 \tabularnewline
0.2 & 102.026764641947 & 2.84664145514702 \tabularnewline
0.21 & 103.675688195106 & 3.08703044451228 \tabularnewline
0.22 & 105.429662382680 & 3.33729123326422 \tabularnewline
0.23 & 107.291131255943 & 3.59037660278748 \tabularnewline
0.24 & 109.219983188500 & 3.67806748753832 \tabularnewline
0.25 & 111.092832566425 & 3.45622285986295 \tabularnewline
0.26 & 112.773849474362 & 3.02363912927876 \tabularnewline
0.27 & 114.223292203271 & 2.64109409122930 \tabularnewline
0.28 & 115.513910089925 & 2.47868840471345 \tabularnewline
0.29 & 116.756489731418 & 2.52071351108176 \tabularnewline
0.3 & 118.030970147627 & 2.66675068690789 \tabularnewline
0.31 & 119.369731707954 & 2.83276284088588 \tabularnewline
0.32 & 120.766916812391 & 2.95236080416918 \tabularnewline
0.33 & 122.187392373999 & 2.97120971050444 \tabularnewline
0.34 & 123.579228913468 & 2.87180552445787 \tabularnewline
0.35 & 124.895901806526 & 2.69272451820376 \tabularnewline
0.36 & 126.117012342386 & 2.50306205786593 \tabularnewline
0.37 & 127.251998482478 & 2.3591026617778 \tabularnewline
0.38 & 128.325588075863 & 2.26943537680981 \tabularnewline
0.39 & 129.359449423305 & 2.21275179619681 \tabularnewline
0.4 & 130.365108293305 & 2.16821613811089 \tabularnewline
0.41 & 131.34852434487 & 2.13431574719244 \tabularnewline
0.42 & 132.314848065271 & 2.10982195971750 \tabularnewline
0.43 & 133.266434912455 & 2.08422367788146 \tabularnewline
0.44 & 134.198812058412 & 2.03696096940188 \tabularnewline
0.45 & 135.102321029547 & 1.96625642498783 \tabularnewline
0.46 & 135.970721386483 & 1.89101386905193 \tabularnewline
0.47 & 136.810711586512 & 1.84698963255346 \tabularnewline
0.48 & 137.643754891539 & 1.86435581782525 \tabularnewline
0.49 & 138.495624406963 & 1.93426159907284 \tabularnewline
0.5 & 139.378750512092 & 2.00480478350668 \tabularnewline
0.51 & 140.281053279057 & 2.01929256452953 \tabularnewline
0.52 & 141.172709057889 & 1.95639307455966 \tabularnewline
0.53 & 142.027684655203 & 1.85392057876254 \tabularnewline
0.54 & 142.842356940247 & 1.77235294702246 \tabularnewline
0.55 & 143.634757508706 & 1.74833575584794 \tabularnewline
0.56 & 144.425767835395 & 1.75882079471999 \tabularnewline
0.57 & 145.220511046262 & 1.75563580310658 \tabularnewline
0.58 & 146.006869443156 & 1.71225195014306 \tabularnewline
0.59 & 146.770606355089 & 1.64538977024744 \tabularnewline
0.6 & 147.511000999211 & 1.59707286020104 \tabularnewline
0.61 & 148.241291925035 & 1.58653249502478 \tabularnewline
0.62 & 148.973317618457 & 1.58905175118417 \tabularnewline
0.63 & 149.701928920855 & 1.55673604924405 \tabularnewline
0.64 & 150.405992067556 & 1.46915748352665 \tabularnewline
0.65 & 151.066174030140 & 1.35414764599842 \tabularnewline
0.66 & 151.683375878511 & 1.26699202303774 \tabularnewline
0.67 & 152.284554605980 & 1.26253920629377 \tabularnewline
0.68 & 152.916697013111 & 1.36993239737758 \tabularnewline
0.69 & 153.632549215282 & 1.5804087088304 \tabularnewline
0.7 & 154.465933849749 & 1.82144809861114 \tabularnewline
0.71 & 155.403652367585 & 1.97371814247832 \tabularnewline
0.72 & 156.379976460845 & 1.94849867517437 \tabularnewline
0.73 & 157.310830186489 & 1.76604043039186 \tabularnewline
0.74 & 158.145235540362 & 1.53570657462969 \tabularnewline
0.75 & 158.894001694753 & 1.38651717495951 \tabularnewline
0.76 & 159.623320456249 & 1.40579950672055 \tabularnewline
0.77 & 160.426210133510 & 1.60482685780193 \tabularnewline
0.78 & 161.379180457079 & 1.90119529820779 \tabularnewline
0.79 & 162.496264899789 & 2.14135213467134 \tabularnewline
0.8 & 163.718523939399 & 2.21686009049188 \tabularnewline
0.81 & 164.962920062172 & 2.15402774431177 \tabularnewline
0.82 & 166.194745949036 & 2.09035270264106 \tabularnewline
0.83 & 167.464440978581 & 2.17397579475800 \tabularnewline
0.84 & 168.884743152748 & 2.45686950494442 \tabularnewline
0.85 & 170.560021192962 & 2.84584409385751 \tabularnewline
0.86 & 172.510043530080 & 3.15765269890224 \tabularnewline
0.87 & 174.662592466752 & 3.29004865591342 \tabularnewline
0.88 & 176.910051828647 & 3.24406310394407 \tabularnewline
0.89 & 179.100180908635 & 2.93273610195184 \tabularnewline
0.9 & 181.043121875524 & 2.39211402132056 \tabularnewline
0.91 & 182.766713590324 & 2.12461019196329 \tabularnewline
0.92 & 184.639596374628 & 2.42120604261715 \tabularnewline
0.93 & 186.956855080157 & 2.80689943286474 \tabularnewline
0.94 & 189.688700611052 & 2.98252879003244 \tabularnewline
0.95 & 192.837801795233 & 3.17795472822319 \tabularnewline
0.96 & 196.376228354065 & 3.07496543261594 \tabularnewline
0.97 & 200.016252966297 & 2.70776087426703 \tabularnewline
0.98 & 204.193465356324 & 2.76437066220641 \tabularnewline
0.99 & 209.421448244095 & 2.23027514426904 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74178&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]69.972572503707[/C][C]0.742321839111027[/C][/ROW]
[ROW][C]0.02[/C][C]72.0010646386636[/C][C]1.56704393411405[/C][/ROW]
[ROW][C]0.03[/C][C]74.8091429799224[/C][C]2.09751853886105[/C][/ROW]
[ROW][C]0.04[/C][C]77.3960405450505[/C][C]1.90740609251316[/C][/ROW]
[ROW][C]0.05[/C][C]79.5645103807957[/C][C]1.98510174801368[/C][/ROW]
[ROW][C]0.06[/C][C]81.6767913036655[/C][C]2.20421475428223[/C][/ROW]
[ROW][C]0.07[/C][C]83.7416219408283[/C][C]2.18015353209801[/C][/ROW]
[ROW][C]0.08[/C][C]85.5859003028839[/C][C]2.026366528466[/C][/ROW]
[ROW][C]0.09[/C][C]87.2479357550703[/C][C]2.02871194510147[/C][/ROW]
[ROW][C]0.1[/C][C]88.8549259513251[/C][C]2.10174771108853[/C][/ROW]
[ROW][C]0.11[/C][C]90.415347128706[/C][C]2.07823617688145[/C][/ROW]
[ROW][C]0.12[/C][C]91.8627997782033[/C][C]1.95390144029750[/C][/ROW]
[ROW][C]0.13[/C][C]93.1715527965827[/C][C]1.83794898392248[/C][/ROW]
[ROW][C]0.14[/C][C]94.3776759600385[/C][C]1.78740482013736[/C][/ROW]
[ROW][C]0.15[/C][C]95.5300375695373[/C][C]1.79440024791037[/C][/ROW]
[ROW][C]0.16[/C][C]96.6711595781001[/C][C]1.86552640230247[/C][/ROW]
[ROW][C]0.17[/C][C]97.8471537847807[/C][C]2.01878453263974[/C][/ROW]
[ROW][C]0.18[/C][C]99.1085337830862[/C][C]2.25967030687905[/C][/ROW]
[ROW][C]0.19[/C][C]100.497700341867[/C][C]2.55977345237542[/C][/ROW]
[ROW][C]0.2[/C][C]102.026764641947[/C][C]2.84664145514702[/C][/ROW]
[ROW][C]0.21[/C][C]103.675688195106[/C][C]3.08703044451228[/C][/ROW]
[ROW][C]0.22[/C][C]105.429662382680[/C][C]3.33729123326422[/C][/ROW]
[ROW][C]0.23[/C][C]107.291131255943[/C][C]3.59037660278748[/C][/ROW]
[ROW][C]0.24[/C][C]109.219983188500[/C][C]3.67806748753832[/C][/ROW]
[ROW][C]0.25[/C][C]111.092832566425[/C][C]3.45622285986295[/C][/ROW]
[ROW][C]0.26[/C][C]112.773849474362[/C][C]3.02363912927876[/C][/ROW]
[ROW][C]0.27[/C][C]114.223292203271[/C][C]2.64109409122930[/C][/ROW]
[ROW][C]0.28[/C][C]115.513910089925[/C][C]2.47868840471345[/C][/ROW]
[ROW][C]0.29[/C][C]116.756489731418[/C][C]2.52071351108176[/C][/ROW]
[ROW][C]0.3[/C][C]118.030970147627[/C][C]2.66675068690789[/C][/ROW]
[ROW][C]0.31[/C][C]119.369731707954[/C][C]2.83276284088588[/C][/ROW]
[ROW][C]0.32[/C][C]120.766916812391[/C][C]2.95236080416918[/C][/ROW]
[ROW][C]0.33[/C][C]122.187392373999[/C][C]2.97120971050444[/C][/ROW]
[ROW][C]0.34[/C][C]123.579228913468[/C][C]2.87180552445787[/C][/ROW]
[ROW][C]0.35[/C][C]124.895901806526[/C][C]2.69272451820376[/C][/ROW]
[ROW][C]0.36[/C][C]126.117012342386[/C][C]2.50306205786593[/C][/ROW]
[ROW][C]0.37[/C][C]127.251998482478[/C][C]2.3591026617778[/C][/ROW]
[ROW][C]0.38[/C][C]128.325588075863[/C][C]2.26943537680981[/C][/ROW]
[ROW][C]0.39[/C][C]129.359449423305[/C][C]2.21275179619681[/C][/ROW]
[ROW][C]0.4[/C][C]130.365108293305[/C][C]2.16821613811089[/C][/ROW]
[ROW][C]0.41[/C][C]131.34852434487[/C][C]2.13431574719244[/C][/ROW]
[ROW][C]0.42[/C][C]132.314848065271[/C][C]2.10982195971750[/C][/ROW]
[ROW][C]0.43[/C][C]133.266434912455[/C][C]2.08422367788146[/C][/ROW]
[ROW][C]0.44[/C][C]134.198812058412[/C][C]2.03696096940188[/C][/ROW]
[ROW][C]0.45[/C][C]135.102321029547[/C][C]1.96625642498783[/C][/ROW]
[ROW][C]0.46[/C][C]135.970721386483[/C][C]1.89101386905193[/C][/ROW]
[ROW][C]0.47[/C][C]136.810711586512[/C][C]1.84698963255346[/C][/ROW]
[ROW][C]0.48[/C][C]137.643754891539[/C][C]1.86435581782525[/C][/ROW]
[ROW][C]0.49[/C][C]138.495624406963[/C][C]1.93426159907284[/C][/ROW]
[ROW][C]0.5[/C][C]139.378750512092[/C][C]2.00480478350668[/C][/ROW]
[ROW][C]0.51[/C][C]140.281053279057[/C][C]2.01929256452953[/C][/ROW]
[ROW][C]0.52[/C][C]141.172709057889[/C][C]1.95639307455966[/C][/ROW]
[ROW][C]0.53[/C][C]142.027684655203[/C][C]1.85392057876254[/C][/ROW]
[ROW][C]0.54[/C][C]142.842356940247[/C][C]1.77235294702246[/C][/ROW]
[ROW][C]0.55[/C][C]143.634757508706[/C][C]1.74833575584794[/C][/ROW]
[ROW][C]0.56[/C][C]144.425767835395[/C][C]1.75882079471999[/C][/ROW]
[ROW][C]0.57[/C][C]145.220511046262[/C][C]1.75563580310658[/C][/ROW]
[ROW][C]0.58[/C][C]146.006869443156[/C][C]1.71225195014306[/C][/ROW]
[ROW][C]0.59[/C][C]146.770606355089[/C][C]1.64538977024744[/C][/ROW]
[ROW][C]0.6[/C][C]147.511000999211[/C][C]1.59707286020104[/C][/ROW]
[ROW][C]0.61[/C][C]148.241291925035[/C][C]1.58653249502478[/C][/ROW]
[ROW][C]0.62[/C][C]148.973317618457[/C][C]1.58905175118417[/C][/ROW]
[ROW][C]0.63[/C][C]149.701928920855[/C][C]1.55673604924405[/C][/ROW]
[ROW][C]0.64[/C][C]150.405992067556[/C][C]1.46915748352665[/C][/ROW]
[ROW][C]0.65[/C][C]151.066174030140[/C][C]1.35414764599842[/C][/ROW]
[ROW][C]0.66[/C][C]151.683375878511[/C][C]1.26699202303774[/C][/ROW]
[ROW][C]0.67[/C][C]152.284554605980[/C][C]1.26253920629377[/C][/ROW]
[ROW][C]0.68[/C][C]152.916697013111[/C][C]1.36993239737758[/C][/ROW]
[ROW][C]0.69[/C][C]153.632549215282[/C][C]1.5804087088304[/C][/ROW]
[ROW][C]0.7[/C][C]154.465933849749[/C][C]1.82144809861114[/C][/ROW]
[ROW][C]0.71[/C][C]155.403652367585[/C][C]1.97371814247832[/C][/ROW]
[ROW][C]0.72[/C][C]156.379976460845[/C][C]1.94849867517437[/C][/ROW]
[ROW][C]0.73[/C][C]157.310830186489[/C][C]1.76604043039186[/C][/ROW]
[ROW][C]0.74[/C][C]158.145235540362[/C][C]1.53570657462969[/C][/ROW]
[ROW][C]0.75[/C][C]158.894001694753[/C][C]1.38651717495951[/C][/ROW]
[ROW][C]0.76[/C][C]159.623320456249[/C][C]1.40579950672055[/C][/ROW]
[ROW][C]0.77[/C][C]160.426210133510[/C][C]1.60482685780193[/C][/ROW]
[ROW][C]0.78[/C][C]161.379180457079[/C][C]1.90119529820779[/C][/ROW]
[ROW][C]0.79[/C][C]162.496264899789[/C][C]2.14135213467134[/C][/ROW]
[ROW][C]0.8[/C][C]163.718523939399[/C][C]2.21686009049188[/C][/ROW]
[ROW][C]0.81[/C][C]164.962920062172[/C][C]2.15402774431177[/C][/ROW]
[ROW][C]0.82[/C][C]166.194745949036[/C][C]2.09035270264106[/C][/ROW]
[ROW][C]0.83[/C][C]167.464440978581[/C][C]2.17397579475800[/C][/ROW]
[ROW][C]0.84[/C][C]168.884743152748[/C][C]2.45686950494442[/C][/ROW]
[ROW][C]0.85[/C][C]170.560021192962[/C][C]2.84584409385751[/C][/ROW]
[ROW][C]0.86[/C][C]172.510043530080[/C][C]3.15765269890224[/C][/ROW]
[ROW][C]0.87[/C][C]174.662592466752[/C][C]3.29004865591342[/C][/ROW]
[ROW][C]0.88[/C][C]176.910051828647[/C][C]3.24406310394407[/C][/ROW]
[ROW][C]0.89[/C][C]179.100180908635[/C][C]2.93273610195184[/C][/ROW]
[ROW][C]0.9[/C][C]181.043121875524[/C][C]2.39211402132056[/C][/ROW]
[ROW][C]0.91[/C][C]182.766713590324[/C][C]2.12461019196329[/C][/ROW]
[ROW][C]0.92[/C][C]184.639596374628[/C][C]2.42120604261715[/C][/ROW]
[ROW][C]0.93[/C][C]186.956855080157[/C][C]2.80689943286474[/C][/ROW]
[ROW][C]0.94[/C][C]189.688700611052[/C][C]2.98252879003244[/C][/ROW]
[ROW][C]0.95[/C][C]192.837801795233[/C][C]3.17795472822319[/C][/ROW]
[ROW][C]0.96[/C][C]196.376228354065[/C][C]3.07496543261594[/C][/ROW]
[ROW][C]0.97[/C][C]200.016252966297[/C][C]2.70776087426703[/C][/ROW]
[ROW][C]0.98[/C][C]204.193465356324[/C][C]2.76437066220641[/C][/ROW]
[ROW][C]0.99[/C][C]209.421448244095[/C][C]2.23027514426904[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74178&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74178&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0169.9725725037070.742321839111027
0.0272.00106463866361.56704393411405
0.0374.80914297992242.09751853886105
0.0477.39604054505051.90740609251316
0.0579.56451038079571.98510174801368
0.0681.67679130366552.20421475428223
0.0783.74162194082832.18015353209801
0.0885.58590030288392.026366528466
0.0987.24793575507032.02871194510147
0.188.85492595132512.10174771108853
0.1190.4153471287062.07823617688145
0.1291.86279977820331.95390144029750
0.1393.17155279658271.83794898392248
0.1494.37767596003851.78740482013736
0.1595.53003756953731.79440024791037
0.1696.67115957810011.86552640230247
0.1797.84715378478072.01878453263974
0.1899.10853378308622.25967030687905
0.19100.4977003418672.55977345237542
0.2102.0267646419472.84664145514702
0.21103.6756881951063.08703044451228
0.22105.4296623826803.33729123326422
0.23107.2911312559433.59037660278748
0.24109.2199831885003.67806748753832
0.25111.0928325664253.45622285986295
0.26112.7738494743623.02363912927876
0.27114.2232922032712.64109409122930
0.28115.5139100899252.47868840471345
0.29116.7564897314182.52071351108176
0.3118.0309701476272.66675068690789
0.31119.3697317079542.83276284088588
0.32120.7669168123912.95236080416918
0.33122.1873923739992.97120971050444
0.34123.5792289134682.87180552445787
0.35124.8959018065262.69272451820376
0.36126.1170123423862.50306205786593
0.37127.2519984824782.3591026617778
0.38128.3255880758632.26943537680981
0.39129.3594494233052.21275179619681
0.4130.3651082933052.16821613811089
0.41131.348524344872.13431574719244
0.42132.3148480652712.10982195971750
0.43133.2664349124552.08422367788146
0.44134.1988120584122.03696096940188
0.45135.1023210295471.96625642498783
0.46135.9707213864831.89101386905193
0.47136.8107115865121.84698963255346
0.48137.6437548915391.86435581782525
0.49138.4956244069631.93426159907284
0.5139.3787505120922.00480478350668
0.51140.2810532790572.01929256452953
0.52141.1727090578891.95639307455966
0.53142.0276846552031.85392057876254
0.54142.8423569402471.77235294702246
0.55143.6347575087061.74833575584794
0.56144.4257678353951.75882079471999
0.57145.2205110462621.75563580310658
0.58146.0068694431561.71225195014306
0.59146.7706063550891.64538977024744
0.6147.5110009992111.59707286020104
0.61148.2412919250351.58653249502478
0.62148.9733176184571.58905175118417
0.63149.7019289208551.55673604924405
0.64150.4059920675561.46915748352665
0.65151.0661740301401.35414764599842
0.66151.6833758785111.26699202303774
0.67152.2845546059801.26253920629377
0.68152.9166970131111.36993239737758
0.69153.6325492152821.5804087088304
0.7154.4659338497491.82144809861114
0.71155.4036523675851.97371814247832
0.72156.3799764608451.94849867517437
0.73157.3108301864891.76604043039186
0.74158.1452355403621.53570657462969
0.75158.8940016947531.38651717495951
0.76159.6233204562491.40579950672055
0.77160.4262101335101.60482685780193
0.78161.3791804570791.90119529820779
0.79162.4962648997892.14135213467134
0.8163.7185239393992.21686009049188
0.81164.9629200621722.15402774431177
0.82166.1947459490362.09035270264106
0.83167.4644409785812.17397579475800
0.84168.8847431527482.45686950494442
0.85170.5600211929622.84584409385751
0.86172.5100435300803.15765269890224
0.87174.6625924667523.29004865591342
0.88176.9100518286473.24406310394407
0.89179.1001809086352.93273610195184
0.9181.0431218755242.39211402132056
0.91182.7667135903242.12461019196329
0.92184.6395963746282.42120604261715
0.93186.9568550801572.80689943286474
0.94189.6887006110522.98252879003244
0.95192.8378017952333.17795472822319
0.96196.3762283540653.07496543261594
0.97200.0162529662972.70776087426703
0.98204.1934653563242.76437066220641
0.99209.4214482440952.23027514426904



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')