## Free Statistics

of Irreproducible Research!

Author's title
Author*Unverified author*
R Software Modulerwasp_cloud.wasp
Title produced by softwareTrivariate Scatterplots
Date of computationFri, 05 Jul 2019 18:45:21 +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/2019/Jul/05/t1562345185bsdxkpirhjogsmq.htm/, Retrieved Wed, 12 Aug 2020 14:36:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=318838, Retrieved Wed, 12 Aug 2020 14:36:52 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact30
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Trivariate Scatterplots] [] [2019-07-05 16:45:21] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
120
110
111
98
92
115
92
89
121
86
Dataseries Y:
8
3
4
5
11
6
6
3
10
12
Dataseries Z:
7,0
7,5
6,0
6,5
5,5
6,5
6,5
7,0
7,2
6,8

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 1 seconds R Server Big 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=318838&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=318838&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=318838&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 Input view raw input (R code) Raw Output view raw output of R engine Computing time 1 seconds R Server Big Analytics Cloud Computing Center

x <- array(x,dim=c(length(x),1))colnames(x) <- par5y <- array(y,dim=c(length(y),1))colnames(y) <- par6z <- array(z,dim=c(length(z),1))colnames(z) <- par7d <- data.frame(cbind(z,y,x))colnames(d) <- list(par7,par6,par5)par1 <- as.numeric(par1)par2 <- as.numeric(par2)if (par1>500) par1 <- 500if (par2>500) par2 <- 500if (par1<10) par1 <- 10if (par2<10) par2 <- 10library(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))print(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))print(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()