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Data X:
26 25 24 27 23 24 22 33 27 31 23 31 25 27 23 35 33 31 30 34 28 27 27 24 35 27
Data Y:
25 27 24 29 26 23 22 19 22 24 27 23 23 21 28 18 22 24 23 22 22 25 24 24 25 25 27 23
Sample Range:
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color left
(?)
red
grey
white
blue
red
black
brown
yellow
color right
(?)
blue
grey
white
blue
red
black
brown
yellow
print densities
(?)
TRUE
TRUE
FALSE
Name of X series
Name of Y series
Chart options
Title:
Label y-axis:
Label x-axis:
R Code
par5 <- 'New Zealand' par4 <- 'Australia' par3 <- 'TRUE' par2 <- 'blue' par1 <- 'red' if (par3 == 'TRUE') par3 <- TRUE if (par3 == 'FALSE') par3 <- FALSE library(Hmisc) load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Summary statistics (variable X)',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,paste('<pre>',RC.texteval('summary(x)'),'</pre>',sep='')) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Summary statistics (variable Y)',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,paste('<pre>',RC.texteval('summary(y)'),'</pre>',sep='')) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab') summary(x) summary(y) z <- data.frame(cbind(x,y)) names(z) <- list(par4,par5) bitmap(file='plot.png') out <- histbackback(z, probability=par3, main = main, ylab = ylab) barplot(-out$left, col=par1, horiz=TRUE, space=0, add=TRUE, axes=FALSE) barplot(out$right, col=par2, horiz=TRUE, space=0, add=TRUE, axes=FALSE) dev.off()
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