FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_bidensity.wasp
Title produced by softwareBivariate Kernel Density Estimation
Date of computationThu, 27 May 2021 03:31:38 +0200
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2021/May/27/t1622079563yk6jxshte65y0j0.htm/, Retrieved Wed, 01 May 2024 21:44:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=319442, Retrieved Wed, 01 May 2024 21:44:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact60

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Bivariate Kernel Density Estimation] [] [2021-05-27 01:31:38] [d41d8cd98f00b204e9800998ecf8427e] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.521598
1.622162
1.744413
1.850535
1.697246
1.593564
1.505938
1.339532
1.203189
1.220117
1.707997
1.784983
1.786854
1.772442
1.358429
0.8545514
1.622758
1.866644
1.739241
1.914332
1.852447
1.157717
1.605354
1.76628
1.418148
1.353222
0.7704405
1.627441
1.736596
1.718579
1.096706
1.457167
1.686213
1.95055
1.703737
0.7482063
1.6484
1.213883
1.625203
1.011891
1.495327
1.637084
1.866793
1.691367
1.856243
1.222599
1.784113
1.76998
1.534918
1.782057
1.881359
1.79611
1.164624
0.9157829
0.7037075
1.782351
1.633034
0.9700896
1.606848
1.487108
1.220753
1.746966
0.7861121
1.037823
1.783042
1.104472
1.623422
1.971194
0.7223516
1.946255
1.716746
0.6179317
1.490858
1.742698
1.608604
1.833054
1.748405
1.893285
1.700534
1.145806
1.807314
1.941738
1.423599
1.671896
1.844158
1.173395
1.668926
1.110918
1.871859
0.9984525
1.048407
1.104416
1.477023
1.459065
1.552191
1.748306
1.735049
1.209987
0.8253959
1.741985
1.382481
0.9796857
1.532361
1.486438
1.619767
1.855212
1.881612
1.771107
1.014327
1.584212
1.77018
1.395139
1.718583
1.610741
1.766157
1.667247
1.127857
1.10331
1.411741
1.652578
1.657025
1.889318
0.8562462
1.937003
1.580067
1.848347
1.499906
1.784542
1.621787
1.780654
1.769394
1.718617
1.714682
1.677118
1.608161
1.835131
1.074947
1.893126
1.38857
1.787517
1.667973
1.72456
1.602434
0.7154602
1.268789
1.756691
1.938457
1.358961
1.573932
1.59152
1.325456
1.56463
1.592178
1.270401
1.95774
1.641014
0.9455173
1.25301
0.9360109
1.785686
1.509805
1.866432
1.629265
1.058759
1.271211
1.915511
1.539726
1.676814
1.547488
1.040037
1.748992
1.902829
1.628323
1.539713
1.419637
1.920897
1.89316
1.197819
1.682296
1.809455
1.057552
1.065234
0.8572553
1.753477
1.380044
1.422376
1.682185
1.686669
0.9225236
1.868244
1.474217
1.544458
1.828305
1.86306
1.527768
1.173433
1.071372
1.619403
1.626336
1.609178
1.307004
1.574356
0.6313693
1.60377
1.927389
1.555674
1.600745
1.216697
1.963955
1.93328
1.846866
1.68833
1.289721
1.8529
1.704458
Dataseries Y:
Download CSV
Histogram 
1.5325
1.474016
1.806558
1.60849
1.903864
1.54747
1.506022
1.340609
1.370918
1.410063
1.678419
1.668292
1.878699
1.646835
1.538075
0.8614314
1.720627
1.838342
1.787953
1.91198
1.854368
1.083778
1.671429
1.702764
1.397672
1.25439
0.8245798
1.5646
1.784617
1.79871
1.220057
1.646651
1.767568
1.886528
1.714416
0.862009
1.261524
1.302555
1.665268
0.9106115
1.691406
1.665881
1.807487
1.758913
1.855976
1.399507
1.970563
1.804523
1.614523
1.81372
1.810098
1.803853
1.165388
0.903679
0.6981474
1.759175
1.689424
1.052268
1.759178
1.630377
1.315366
1.966697
0.7398105
1.011563
1.815251
1.083546
1.571959
1.971432
0.7520286
1.926288
1.785917
0.6662585
1.361226
1.715343
1.712537
1.839413
1.874816
1.976713
1.834752
1.270932
1.690587
1.964806
1.609819
1.251996
1.797496
1.17453
1.659692
1.127015
1.890291
0.9183308
1.176053
1.052609
1.687013
1.397863
1.678569
1.798457
1.776464
1.216976
0.7820162
1.692198
1.525426
0.9317524
1.603169
1.526758
1.492235
1.77945
1.943338
1.745786
0.9513769
1.622238
1.64703
1.365521
1.716021
1.754472
1.698469
1.59158
1.053097
1.004202
1.492258
1.528925
1.771584
1.899669
0.9548739
1.793164
1.517629
1.818159
1.342041
1.671217
1.540599
1.753491
1.810686
1.772648
1.85211
1.703175
1.476497
1.901576
0.9552746
1.949522
1.76554
1.743897
1.763084
1.720809
1.949149
0.7202944
1.404374
1.728422
1.710923
1.553344
1.470688
1.694341
1.383932
1.563116
1.59693
1.277783
1.849455
1.684787
0.8296555
1.725174
0.9363497
1.774923
1.775284
1.880142
1.722788
1.025003
1.33069
1.82717
1.636984
1.759737
1.607646
1.096169
1.68219
1.92603
1.754004
1.539233
1.555092
1.937775
1.695768
1.121378
1.631718
1.776124
1.011796
0.9844558
0.8527214
1.778697
1.765062
1.492108
1.862785
1.536131
0.9290305
1.818162
1.656497
1.819542
1.787575
1.855956
1.668079
1.229765
1.016027
1.721543
1.655528
1.666065
1.424051
1.677761
0.5858518
1.720881
1.73349
1.740437
1.640353
1.266493
1.950998
1.631781
1.582577
1.687095
1.306313
1.833576
1.830455

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319442&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=319442&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319442&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center






Bandwidth
x axis0.0762240726723988
y axis0.0651418204126334
Correlation
correlation used in KDE0.935760176541881
correlation(x,y)0.935760176541881

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 0.0762240726723988 \tabularnewline
y axis & 0.0651418204126334 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.935760176541881 \tabularnewline
correlation(x,y) & 0.935760176541881 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319442&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]0.0762240726723988[/C][/ROW]
[ROW][C]y axis[/C][C]0.0651418204126334[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.935760176541881[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.935760176541881[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=319442&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319442&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:

Bandwidth
x axis0.0762240726723988
y axis0.0651418204126334
Correlation
correlation used in KDE0.935760176541881
correlation(x,y)0.935760176541881


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 150 ; par2 = 150 ; par3 = 0 ; par4 = 0 ; par5 = 0 ; par6 = Y ; par7 = Y ; par8 = terrain.colors ;
Parameters (R input):
par1 = 150 ; par2 = 150 ; par3 = 0 ; par4 = 0 ; par5 = 0 ; par6 = Y ; par7 = Y ; par8 = terrain.colors ;
R code (references can be found in the software module):
par8 <- 'terrain.colors'
par7 <- 'Y'
par6 <- 'Y'
par5 <- '0'
par4 <- '0'
par3 <- '0'
par2 <- '50'
par1 <- '50'
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
par4 <- as(par4,'numeric')
par5 <- as(par5,'numeric')
library('GenKern')
x <- x[!is.na(y)]
y <- y[!is.na(y)]
y <- y[!is.na(x)]
x <- x[!is.na(x)]
if (par3==0) par3 <- dpik(x)
if (par4==0) par4 <- dpik(y)
if (par5==0) par5 <- cor(x,y)
if (par1 > 500) par1 <- 500
if (par2 > 500) par2 <- 500
if (par8 == 'terrain.colors') mycol <- terrain.colors(100)
if (par8 == 'rainbow') mycol <- rainbow(100)
if (par8 == 'heat.colors') mycol <- heat.colors(100)
if (par8 == 'topo.colors') mycol <- topo.colors(100)
if (par8 == 'cm.colors') mycol <- cm.colors(100)
bitmap(file='bidensity.png')
op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=par5, xbandwidth=par3, ybandwidth=par4)
image(op$xords, op$yords, op$zden, col=mycol, axes=TRUE,main=main,xlab=xlab,ylab=ylab)
if (par6=='Y') contour(op$xords, op$yords, op$zden, add=TRUE)
if (par7=='Y') points(x,y)
(r<-lm(y ~ x))
abline(r)
box()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Bandwidth',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'x axis',header=TRUE)
a<-table.element(a,par3)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'y axis',header=TRUE)
a<-table.element(a,par4)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Correlation',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'correlation used in KDE',header=TRUE)
a<-table.element(a,par5)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'correlation(x,y)',header=TRUE)
a<-table.element(a,cor(x,y))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')