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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_cloud.wasp
Title produced by softwareTrivariate Scatterplots
Date of computationTue, 11 Nov 2008 14:02:37 -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/11/t1226437937rn4trfsgfe47oxi.htm/, Retrieved Sun, 19 May 2024 12:34:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=23980, Retrieved Sun, 19 May 2024 12:34:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact163

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Mean Plot] [workshop 3] [2007-10-26 12:14:28] [e9ffc5de6f8a7be62f22b142b5b6b1a8]
F R PD  [Mean Plot] [vraag 2] [2008-10-29 19:00:24] [c45c87b96bbf32ffc2144fc37d767b2e]
F R P     [Mean Plot] [vraag 4] [2008-10-29 22:25:49] [c45c87b96bbf32ffc2144fc37d767b2e]
F R PD      [Mean Plot] [taak 5] [2008-10-30 06:53:19] [c45c87b96bbf32ffc2144fc37d767b2e]
- RMPD          [Trivariate Scatterplots] [] [2008-11-11 21:02:37] [c60a842d48931bd392d024d8e9ef4583] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
227.3
222.9
263.6
208.6
242
245.6
199.5
213.6
241.9
242
230.6
193.9
235.5
228.3
227.3
215.7
219.3
218
215.4
193.6
225.7
235.8
211.9
199.1
222.5
217.9
229
244.3
220.8
234.3
215.2
201.7
258.6
271
228.7
230.3
243.9
231.3
276.6
256.9
238
256.7
233.8
199.9
263.9
255.6
237.7
229.2
223.9
235.2
290.2
269.6
246.3
287.7
234.3
238.3
296.7
282.5
292.5
298.9
284.7
309.5
356.3
302.6
345.3
353.9
297.2
299.6
355.8
348.3
340.5
310.1
323.5
307.9
354.5
298
306.6
302.3
291.7
280.7
311.5
334
320.8
266.4
318.9
306.4
338.9
330.3
314.4
316
310
272.4
327.6
343.9
315.8
279.8
323.7
300.6
326.8
314.7
293.1
313.9
304.7
269.9
332.2
346.5
295.8
297.9
304.3
306.7
359.2
325.3
302.4
351.2
310.8
289.6
355.8
335.5
332
310.7
297.1
291.9
326
311.8
294.5
330
297.7
290.3
338
319
316.3
304.3
305.6
304
353.8
308.7
325.2
337.2
304.6
320.8
327.1
360.4
346.3
325.2
322.9
337
367.8
329.7
333.7
338.1
331.1
316
343.1
374.4
343.7
283
362.7
359.2
337.4
389.9
326.2
348.1
Dataseries Y:
Download CSV
Histogram 
266.4
304.4
250.2
219
279.6
258.8
266.1
266.1
263.2
273.1
234.9
277.4
283.7
295.9
328.3
350.5
379.9
308.8
324
340.5
343.6
450.5
377.2
383.6
355.2
336
388
393.1
343.2
380.5
408.2
342.2
356.7
403.3
298.7
348
340.3
313.4
278.7
298.7
295.8
292.1
363.2
261.2
259.3
288.8
284.5
257.4
231.7
293
349.3
310.8
361.7
475.9
422.7
458.4
435.3
440.7
382.5
489.3
552.9
651.5
643.5
587.9
722.9
566
760.6
642.4
903.1
1025.5
792.6
758.4
744
653.1
549
575.2
736
716.4
747.2
708.3
810.4
704.1
619.4
573.4
514.4
507.2
608.1
632.7
715.3
617
690.8
608.5
712.3
746.5
676.4
681.7
628.9
642.4
776
767.8
611.8
716.7
718.4
638.1
630.2
712.5
591.1
728.4
557.3
597.9
706.4
712.6
711.3
553.3
762.1
833.1
798.4
885.7
880.3
850.8
747.4
801
983.8
1004.2
870.4
846.5
889.9
1103.9
1200.9
1182.2
1073.9
1029.8
986.4
1071.3
1251.2
1114.6
1197.5
1305.5
1279.9
1109.9
1024.9
1024.6
815.2
853.8
952.3
967.7
1065.7
994.1
1150
1110.6
1129.7
1142.7
1225.7
1527.6
1345.5
1508.5
1608.3
1437.8
1501.2
1419.3
1440.7
1619.2
Dataseries Z:
Download CSV
Histogram 
1943.2
1932.7
2243.7
1823.4
1964.6
2125.9
1819.4
1695.9
1985.7
1942.1
1866.5
1611.4
1965.5
1983.6
2093.9
2000.1
2011.4
1984.1
1929.8
1743.7
2042.1
2202.8
1891.1
1791.5
2092.9
2166.8
2279.1
2413.5
2182.4
2330.8
2367.8
2141
2489.7
2587.1
2276
2271.5
2496.1
2389.1
2673
2489.3
2362.1
2738.4
2416.5
2251.7
2538.8
2528.8
2279.9
2151.3
2360.5
2336.1
2820.8
2517.2
2420.6
2777.1
2692.2
2352.1
2822.6
2819.6
2833.1
2782.3
2664.2
2799.4
3309.4
2711.5
3061.1
2865.3
2639.4
2710.1
3286.8
3165.4
2993.4
2737
3028.9
3094.9
3309.4
2979.6
3155.8
3138.1
2915.4
2725.1
2912.1
3266.9
2966.7
2625.1
3156.5
3022
3281.6
3412.7
3254
3188.1
3357.6
2851.7
3250.6
3519.2
3181.6
2856.5
3338
3318
3636
3368
3188
3214.1
3459.2
2821.4
3389.5
3562
3079.1
3082.9
3127.4
3344.9
3866.1
3460.2
3313.9
3827.1
3492.5
3287.4
3826.3
4133.4
3971.7
3588.5
3588.8
3569.6
4222.7
3999.1
3924.7
3923
3748.4
3680.1
4146
4009.8
4071.2
3651
4073.8
3810.6
4437.9
3901.6
4238.9
4330.3
3894.1
4113.9
4267.9
4382.2
4277.8
3822.8
4384.2
4160.6
4858.7
4252.6
4488.3
4484.6
4560.5
4472.2
4128.9
4696.4
4448.7
3599.4
5335.2
5031.5
4998.7
5439.7
4797.4
5110.3

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23980&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]3 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=23980&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23980&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 time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 50 ; par2 = 50 ; par3 = Y ; par4 = Y ; par5 = Variable X ; par6 = Variable Y ; par7 = Variable Z ;
Parameters (R input):
par1 = 50 ; par2 = 50 ; par3 = Y ; par4 = Y ; par5 = Variable X ; par6 = Variable Y ; par7 = Variable Z ;
R code (references can be found in the software module):
x <- array(x,dim=c(length(x),1))
colnames(x) <- par5
y <- array(y,dim=c(length(y),1))
colnames(y) <- par6
z <- array(z,dim=c(length(z),1))
colnames(z) <- par7
d <- data.frame(cbind(z,y,x))
colnames(d) <- list(par7,par6,par5)
par1 <- as.numeric(par1)
par2 <- as.numeric(par2)
if (par1>500) par1 <- 500
if (par2>500) par2 <- 500
if (par1<10) par1 <- 10
if (par2<10) par2 <- 10
library(GenKern)
library(lattice)
panel.hist <- function(x, ...)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(usr[1:2], 0, 1.5) )
h <- hist(x, plot = FALSE)
breaks <- h$breaks; nB <- length(breaks)
y <- h$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='black', ...)
}
bitmap(file='cloud1.png')
cloud(z~x*y, screen = list(x=-45, y=45, z=35),xlab=par5,ylab=par6,zlab=par7)
dev.off()
bitmap(file='cloud2.png')
cloud(z~x*y, screen = list(x=35, y=45, z=25),xlab=par5,ylab=par6,zlab=par7)
dev.off()
bitmap(file='cloud3.png')
cloud(z~x*y, screen = list(x=35, y=-25, z=90),xlab=par5,ylab=par6,zlab=par7)
dev.off()
bitmap(file='pairs.png')
pairs(d,diag.panel=panel.hist)
dev.off()
x <- as.vector(x)
y <- as.vector(y)
z <- as.vector(z)
bitmap(file='bidensity1.png')
op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=cor(x,y), xbandwidth=dpik(x), ybandwidth=dpik(y))
image(op$xords, op$yords, op$zden, col=terrain.colors(100), axes=TRUE,main='Bivariate Kernel Density Plot (x,y)',xlab=par5,ylab=par6)
if (par3=='Y') contour(op$xords, op$yords, op$zden, add=TRUE)
if (par4=='Y') points(x,y)
(r<-lm(y ~ x))
abline(r)
box()
dev.off()
bitmap(file='bidensity2.png')
op <- KernSur(y,z, xgridsize=par1, ygridsize=par2, correlation=cor(y,z), xbandwidth=dpik(y), ybandwidth=dpik(z))
op
image(op$xords, op$yords, op$zden, col=terrain.colors(100), axes=TRUE,main='Bivariate Kernel Density Plot (y,z)',xlab=par6,ylab=par7)
if (par3=='Y') contour(op$xords, op$yords, op$zden, add=TRUE)
if (par4=='Y') points(y,z)
(r<-lm(z ~ y))
abline(r)
box()
dev.off()
bitmap(file='bidensity3.png')
op <- KernSur(x,z, xgridsize=par1, ygridsize=par2, correlation=cor(x,z), xbandwidth=dpik(x), ybandwidth=dpik(z))
op
image(op$xords, op$yords, op$zden, col=terrain.colors(100), axes=TRUE,main='Bivariate Kernel Density Plot (x,z)',xlab=par5,ylab=par7)
if (par3=='Y') contour(op$xords, op$yords, op$zden, add=TRUE)
if (par4=='Y') points(x,z)
(r<-lm(z ~ x))
abline(r)
box()
dev.off()