FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_bidensity.wasp
Title produced by softwareBivariate Kernel Density Estimation
Date of computationSun, 09 Nov 2008 14:12:27 -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/2008/Nov/09/t1226265196nomsln6lv9mu9ud.htm/, Retrieved Sun, 19 May 2024 09:09:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=22878, Retrieved Sun, 19 May 2024 09:09:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact172

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Testing Population Proportion - Critical Value] [vraag 1] [2008-11-09 20:15:31] [c45c87b96bbf32ffc2144fc37d767b2e]
- RM    [Minimum Sample Size - Testing Proportions] [vraag 4] [2008-11-09 20:51:51] [c45c87b96bbf32ffc2144fc37d767b2e]
F RM D      [Bivariate Kernel Density Estimation] [vraag 1] [2008-11-09 21:12:27] [3dc594a6c62226e1e98766c4d385bfaa] [Current]
- RMPD        [Partial Correlation] [vraag 1] [2008-11-24 20:29:41] [c45c87b96bbf32ffc2144fc37d767b2e]
Feedback Forum
2008-11-24 20:32:26 [Michaël De Kuyer] [reply] 
Ik heb een partial correlation toegpast op het aantal gebouwen, aantal woningen en de bewoonbare oppervlakte: http://www.freestatistics.org/blog/date/2008/Nov/24/t1227558642jx8p1tqat8tawxu.htm. Hieruit kan ik afleiden dat x een zeer stezrke invloed heeft de relatie tussen y en z en dat z een sterke invloed heeft op de relatie tussen x en y.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2293
2045
1532
1333
1583
1712
2641
2267
2126
2231
1517
2010
2628
2115
1829
1636
1787
2122
2620
2555
2337
2524
1801
2417
2389
2266
2135
1755
1907
2178
2345
2674
2765
2786
2004
2589
2739
2700
2459
1965
2152
2379
2930
2691
2852
2752
1787
2580
2604
2532
2265
1745
1914
2148
2466
2498
2512
2458
1825
2267
2364
2328
2034
1587
1633
Dataseries Y:
Download CSV
Histogram 
440427
386715
291787
278253
300903
327695
471590
442850
387181
420099
289850
392468
549174
415506
356662
338612
359886
410547
495272
474588
442893
477793
336263
449838
451406
439690
401513
326472
369464
429525
464658
510691
513151
538609
398949
511635
554318
515879
488122
401716
453358
464884
571868
497485
538214
502396
349385
502427
514106
527537
495918
376847
420552
442679
478422
483796
529032
482991
354287
459146
473744
478642
426208
348908
321310

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' @ 72.249.76.132

\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' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=22878&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' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=22878&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=22878&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' @ 72.249.76.132






Bandwidth
x axis182.918277142249
y axis33861.6330065604
Correlation
correlation used in KDE0.963751584372447
correlation(x,y)0.963751584372447

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 182.918277142249 \tabularnewline
y axis & 33861.6330065604 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.963751584372447 \tabularnewline
correlation(x,y) & 0.963751584372447 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=22878&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]182.918277142249[/C][/ROW]
[ROW][C]y axis[/C][C]33861.6330065604[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.963751584372447[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.963751584372447[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=22878&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=22878&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 axis182.918277142249
y axis33861.6330065604
Correlation
correlation used in KDE0.963751584372447
correlation(x,y)0.963751584372447


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 98 ; par2 = 0.8571 ; par3 = 0.69 ; par4 = 0.05 ;
Parameters (R input):
par1 = 50 ; par2 = 50 ; par3 = 0 ; par4 = 0 ; par5 = 0 ; par6 = Y ; par7 = Y ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
par4 <- as(par4,'numeric')
par5 <- as(par5,'numeric')
library('GenKern')
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
bitmap(file='bidensity.png')
op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=par5, xbandwidth=par3, ybandwidth=par4)
image(op$xords, op$yords, op$zden, col=terrain.colors(100), axes=TRUE,main=main,xlab=xlab,ylab=ylab)
if (par6=='Y') contour(op$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')