1 | g2plot(x1, x2, op = 4, rval = 15, fr = 0.8, aval = 0.5, xlab = "X", ylab = "")
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x1 |
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x2 |
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op |
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rval |
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fr |
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aval |
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xlab |
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ylab |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 | ##---- Should be DIRECTLY executable !! ----
##-- ==> Define data, use random,
##-- or do help(data=index) for the standard data sets.
## The function is currently defined as
function (x1, x2, op = 4, rval = 15, fr = 0.8, aval = 0.5, xlab = "X",
ylab = "")
{
x1 <- elimna(x1)
x2 <- elimna(x2)
if (op == 3) {
rd2plot(x1, x2, fr = fr, xlab = xlab, ylab = ylab)
print("Might consider using op=4 if graph is ragged")
}
if (op == 2) {
tempx <- density(x1, na.rm = TRUE, kernel = "epanechnikov")
tempy <- density(x2, na.rm = TRUE, kernel = "epanechnikov")
plot(c(tempx$x, tempy$x), c(tempx$y, tempy$y), type = "n",
xlab = xlab, ylab = ylab)
lines(tempx$x, tempx$y)
lines(tempy$x, tempy$y, lty = 2)
}
if (op == 1) {
y1 <- sort(x1)
z1 <- 1
z2 <- 1
par(yaxt = "n")
temp <- floor(0.01 * length(x1))
if (temp == 0)
temp <- 5
ibot <- y1[temp]
itop <- y1[floor(0.99 * length(x1))]
xaxis1 <- seq(ibot, itop, length = rval)
for (i in 1:rval) z1[i] <- kerden(x1, 0, xaxis1[i])
y2 <- sort(x2)
temp <- floor(0.01 * length(x2))
if (temp == 0)
temp <- 5
ibot <- y2[temp]
itop <- y2[floor(0.99 * length(x2))]
xaxis2 <- seq(ibot, itop, length = rval)
for (i in 1:rval) z2[i] <- kerden(x2, 0, xaxis2[i])
plot(c(xaxis1, xaxis2), c(z1, z2), xlab = xlab, ylab = ylab,
type = "n")
lines(xaxis1, z1)
lines(xaxis2, z2, lty = 2)
}
if (op == 4) {
x1 <- sort(x1)
x2 <- sort(x2)
z1 <- akerd(x1, aval = aval, fr = fr, pyhat = TRUE, plotit = FALSE)
z2 <- akerd(x2, aval = aval, fr = fr, pyhat = TRUE, plotit = FALSE)
plot(c(x1, x2), c(z1, z2), xlab = xlab, ylab = ylab,
type = "n")
lines(x1, z1)
lines(x2, z2, lty = 2)
}
}
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