众所周知，Android将应用程序编译成ARM指令，以使应用程序快速运行 当我在Android中分析APP的机器指令时，我发现一个类的方法的目标地址很难理解。
例如，方法调用for (i in 1:6) {
### pettern 1 / plot(pca); par(new=T); plot(~, new_lim())
s1= rnorm(50,mean = 12); s2= rnorm(50, mean = 17); s3= rnorm(50, mean = 20)
pca=rda(cbind(s1,s2,s3))
pca.scoop=scores(pca, scaling = 2)
myccaplot( ### (4)
pca, xlab = "x1", ylab = "y1",
type = c("p"),main= "main",scaling = 2,choices = c(1,2),
xlim =c(min(pca.scoop$sites[,1]),max(pca.scoop$sites[,1])),
ylim = c(min(pca.scoop$sites[,2]),max(pca.scoop$sites[,2])),
bty = "o",pch=4,
axes = F) ### (1)
axis(1) ### (2)
axis(2) ### (2)
box() ### (2)
par(new =TRUE)
plot(x2, y2,
xlim = new_lim(x2),
ylim = new_lim(y2, 2), axes = F, ann = F)
axis(3, col = "red", col.axis = "red")
axis(4, col = "red", col.axis = "red")
abline(v = 0, lty = 2) ### (3)
abline(h = 0, lty = 2) ### (3)
mtext("x2", side = 3, line = 2.5, col = "red")
mtext("y2", side = 4, line = 2.5, col = "red")
}
### (4) ## copy modified content of getAnywhere(plot.cca) here
myccaplot <- function (x, choices = c(1, 2), display = c("sp", "wa", "cn"),
scaling = "species", type, xlim, ylim, const, correlation = FALSE,
hill = FALSE, ...)
{
TYPES <- c("text", "points", "none")
g <- scores(x, choices, display, scaling, const, correlation = correlation,
hill = hill)
if (length(g) == 0 || all(is.na(g)))
stop("nothing to plot: requested scores do not exist")
if (!is.list(g))
g <- list(default = g)
for (i in seq_along(g)) {
if (length(dim(g[[i]])) > 1)
rownames(g[[i]]) <- rownames(g[[i]], do.NULL = FALSE,
prefix = substr(names(g)[i], 1, 3))
}
if (!is.null(g$centroids)) {
if (is.null(g$biplot))
g$biplot <- scores(x, choices, "bp", scaling)
if (!is.na(g$centroids)[1]) {
bipnam <- rownames(g$biplot)
cntnam <- rownames(g$centroids)
g$biplot <- g$biplot[!(bipnam %in% cntnam), , drop = FALSE]
if (nrow(g$biplot) == 0)
g$biplot <- NULL
}
}
if (missing(type)) {
nitlimit <- 80
nit <- max(nrow(g$spe), nrow(g$sit), nrow(g$con), nrow(g$def))
if (nit > nitlimit)
type <- "points"
else type <- "text"
}
else type <- match.arg(type, TYPES)
if (length(choices) == 1) {
if (length(g) == 1)
pl <- linestack(g[[1]], ...)
else {
hasSpec <- names(g)[1] == "species"
ylim <- range(c(g[[1]], g[[2]]), na.rm = TRUE)
pl <- linestack(g[[1]], ylim = ylim, side = ifelse(hasSpec,
"left", "right"), ...)
linestack(g[[2]], ylim = ylim, side = ifelse(hasSpec,
"right", "left"), add = TRUE, ...)
}
return(invisible(pl))
}
if (missing(xlim)) {
xlim <- range(g$species[, 1], g$sites[, 1], g$constraints[,
1], g$biplot[, 1], if (length(g$centroids) > 0 &&
is.na(g$centroids)) NA else g$centroids[, 1], g$default[,
1], na.rm = TRUE)
}
if (!any(is.finite(xlim)))
stop("no finite scores to plot")
if (missing(ylim)) {
ylim <- range(g$species[, 2], g$sites[, 2], g$constraints[,
2], g$biplot[, 2], if (length(g$centroids) > 0 &&
is.na(g$centroids)) NA else g$centroids[, 2], g$default[,
2], na.rm = TRUE)
}
plot(g[[1]], xlim = xlim, ylim = ylim, type = "n", asp = 1,
...)
# abline(h = 0, lty = 3) # removed
# abline(v = 0, lty = 3) # removed
if (!is.null(g$species)) {
if (type == "text")
text(g$species, rownames(g$species), col = "red",
cex = 0.7)
else if (type == "points")
points(g$species, pch = "+", col = "red", cex = 0.7)
}
if (!is.null(g$sites)) {
if (type == "text")
text(g$sites, rownames(g$sites), cex = 0.7)
else if (type == "points")
points(g$sites, pch = 1, cex = 0.7)
}
if (!is.null(g$constraints)) {
if (type == "text")
text(g$constraints, rownames(g$constraints), cex = 0.7,
col = "darkgreen")
else if (type == "points")
points(g$constraints, pch = 2, cex = 0.7, col = "darkgreen")
}
if (!is.null(g$biplot) && nrow(g$biplot) > 0 && type != "none") {
if (length(display) > 1) {
mul <- ordiArrowMul(g$biplot)
}
else mul <- 1
attr(g$biplot, "arrow.mul") <- mul
arrows(0, 0, mul * g$biplot[, 1], mul * g$biplot[, 2],
length = 0.05, col = "blue")
biplabs <- ordiArrowTextXY(mul * g$biplot, rownames(g$biplot))
text(biplabs, rownames(g$biplot), col = "blue")
axis(3, at = c(-mul, 0, mul), labels = rep("", 3), col = "blue")
axis(4, at = c(-mul, 0, mul), labels = c(-1, 0, 1), col = "blue")
}
if (!is.null(g$centroids) && !is.na(g$centroids) && type !=
"none") {
if (type == "text")
text(g$centroids, rownames(g$centroids), col = "blue")
else if (type == "points")
points(g$centroids, pch = "x", col = "blue")
}
if (!is.null(g$default) && type != "none") {
if (type == "text")
text(g$default, rownames(g$default), cex = 0.7)
else if (type == "points")
points(g$default, pch = 1, cex = 0.7)
}
class(g) <- "ordiplot"
invisible(g)
}
的目标计算如下：
您能否告诉我为什么这段代码可以获得目标地址，尤其是572和40的值是什么意思？
我找到了一些关于手臂指令的解释。但是大多数只关注函数调用，而不是类的方法调用。你能告诉我一些关于这件事的博客或论文吗？