Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data X:
93.028 92.285 91.685 94.260 93.858 92.437 92.980 92.099 92.803 88.551 98.334 98.329 96.455 97.109 97.687 98.512 98.673 96.028 98.014 95.580 97.838 97.760 99.913 97.588 93.942 93.656 92.881 93.120 91.063 90.930 91.946 94.624 65.484 95.862 95.530 94.574 94.677 93.845 91.533 91.214 90.922 89.563 89.945 91.850 92.505 92.437 93.876 93.561 94.119 95.264 96.089 97.160 98.644 96.266 97.938 99.757 101.550 102.449 102.416 102.587
Data Y:
111.632 106.707 108.827 108.413 106.249 104.861 102.382 100.320 100.228 117.089 121.523 114.948 112.831 107.605 108.928 101.993 102.850 99.925 101.536 99.450 98.305 110.159 109.483 106.810 96.279 91.982 90.276 90.999 86.622 83.117 80.367 77.550 77.443 92.844 92.175 84.822 81.632 78.872 81.485 80.651 78.192 76.844 76.335 71.415 73.889 86.822 86.371 83.469 82.662 82.880 89.406 95.378 97.657 100.247 99.180 97.493 101.628 114.585 115.669 111.311
Sample Range:
(leave blank to include all observations)
From:
To:
color left
(?)
grey
grey
white
blue
red
black
brown
yellow
color right
(?)
grey
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
if (par3 == 'TRUE') par3 <- TRUE if (par3 == 'FALSE') par3 <- FALSE library(Hmisc) 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()
Compute
Summary of computational transaction
Raw Input
view raw input (R code)
Raw Output
view raw output of R engine
Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation