Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data X:
7.7 7.5 8.3 7.8 7.9 6.6 7 8.2 8.2 9.1 9 7.1 8.9 8.5 9.8 8.8 9.2 7.4 8.3 9.7 9.7 10.8 9.8 7.9 9.8 9 10.5 9.5 9.7 8.1 10.1 11.1 11.2 12.6 12.2 9.9 11.8 11.1 12.6 11.9 11.9 10 10.8 12.9 12.5 13.8 13.1 10.5 12.9 12.9 14.4 12.7 13.3 11 11.9 14.1 14.4 14.9 15.7 12 14.3 14.2 17.4 15.1 15.3 12.6 14 16.6 16.7 17.6 18.3 13.6 15.8 16.1 18.6 17.3 17 13.9 15.2 17.8 18 19.4 21.8 16.2 19.2 19.5 22 20 19.2 16.9 20 20.4 21.8 25 25.8 19.4 22.6 24.1 26.9 24.9 23.3 20.3 22.3 23.7 24.3 31.7 32.2 25.4 28.6 28.7 30.9 31.4 29.1 26.3 28.9 28.9 31 33.4 35.9 25.8 31.2 31.7 36.2 32 32.1 28.1 31.1 31.9 32 36.6 38.1 28.1 32.9 30.7 35.4 33.7 31.6 27.9 32.2 32.3 35.3 37.2 39.6 28.4 33.9 33.7 38.3 34.6 32.7 29.5 32 33.2 36.7 38.6 38.1 29.8 35.6 33.2 38.9 34.8 37.2 29.7 32.2 32.1 36.3 38.4 40.8 31.3 36.2 35.1 44.1 39.3 34.1 32.4 36.3 36.8 40.5 46 43.9 37.2 40.7 42 49.2 42.3 40.8 37.6
Data Y:
277 260.6 291.6 275.4 275.3 231.7 238.8 274.2 277.8 299.1 286.6 232.3 294.1 267.5 309.7 280.7 287.3 235.7 256.4 289 290.8 321.9 291.8 241.4 295.5 258.2 306.1 281.5 283.1 237.4 274.8 299.3 300.4 340.9 318.8 265.7 322.7 281.6 323.5 312.6 310.8 262.8 273.8 320 310.3 342.2 320.1 265.6 327 300.7 346.4 317.3 326.2 270.7 278.2 324.6 321.8 343.5 354 278.2 330.2 307.3 375.9 335.3 339.3 280.3 293.7 341.2 345.1 368.7 369.4 288.4 341 319.1 374.2 344.5 337.3 281 282.2 321 325.4 366.3 380.3 300.7 359.3 327.6 383.6 352.4 329.4 294.5 333.5 334.3 358 396.1 387 307.2 363.9 344.7 397.6 376.8 337.1 299.3 323.1 329.1 347 462 436.5 360.4 415.5 382.1 432.2 424.3 386.7 354.5 375.8 368 402.4 426.5 433.3 338.5 416.8 381.1 445.7 412.4 394 348.2 380.1 373.7 393.6 434.2 430.7 344.5 411.9 370.5 437.3 411.3 385.5 341.3 384.2 373.2 415.8 448.6 454.3 350.3 419.1 398 456.1 430.1 399.8 362.7 384.9 385.3 432.3 468.9 442.7 370.2 439.4 393.9 468.7 438.8 430.1 366.3 391 380.9 431.4 465.4 471.5 387.5 446.4 421.5 504.8 492.1 421.3 396.7 428 421.9 465.6 525.8 499.9 435.3 479.5 473 554.4 489.6 462.2 420.3
Sample Range:
(leave blank to include all observations)
From:
To:
xgridsize
ygridsize
xbandwidth
(zero to use default)
ybandwidth
(zero to use default)
correlation
(zero to use actual correlation)
display contours
(Y/N)
3
Y
N
display data points
(Y/N)
0
Y
N
colors
2
terrain.colors
rainbow
heat.colors
topo.colors
cm.colors
Chart options
Title:
Label y-axis:
Label x-axis:
R Code
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')
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