我在R中使用RSSA包,我需要访问特征值。
使用以下代码我可以绘制组件。但是,我需要将所有特征值作为数字访问。
require(Rssa)
t=ssa(co2)
plot(t)
答案 0 :(得分:1)
我对这个包几乎一无所知。我从上下文中获取了您想要在该图形的y轴上绘制的值。由于缺乏可重现的示例,我转向?ssa
帮助页面并使用第一个示例:
> s <- ssa(co2)
>
> plot(s)
所以这看起来像你的情节:然后我看代码
> getAnywhere(plot.ssa)
A single object matching ‘plot.ssa’ was found
It was found in the following places
registered S3 method for plot from namespace Rssa
namespace:Rssa
with value
function (x, type = c("values", "vectors", "paired", "series",
"wcor"), ..., vectors = c("eigen", "factor"), plot.contrib = TRUE,
numvalues = nsigma(x), numvectors = min(nsigma(x), 10), idx = 1:numvectors,
idy, groups)
{
type <- match.arg(type)
vectors <- match.arg(vectors)
if (identical(type, "values")) {
.plot.ssa.values(x, ..., numvalues = numvalues)
}
else if (identical(type, "vectors")) {
.plot.ssa.vectors(x, ..., what = vectors, plot.contrib = plot.contrib,
idx = idx)
}
else if (identical(type, "paired")) {
if (missing(idy))
idy <- idx + 1
.plot.ssa.paired(x, ..., what = vectors, plot.contrib = plot.contrib,
idx = idx, idy = idy)
}
else if (identical(type, "series")) {
if (missing(groups))
groups <- as.list(1:min(nsigma(x), nu(x)))
.plot.ssa.series(x, ..., groups = groups)
}
else if (identical(type, "wcor")) {
if (missing(groups))
groups <- as.list(1:min(nsigma(x), nu(x)))
plot(wcor(x, groups = groups), ...)
}
else {
stop("Unsupported type of SSA plot!")
}
}
<environment: namespace:Rssa>
然后我看一下使用默认参数时调用的函数:
> getAnywhere(.plot.ssa.values)
A single object matching ‘.plot.ssa.values’ was found
It was found in the following places
namespace:Rssa
with value
function (x, ..., numvalues, plot.type = "b")
{
dots <- list(...)
d <- data.frame(A = 1:numvalues, B = x$sigma[1:numvalues])
dots <- .defaults(dots, type = plot.type, xlab = "Index",
ylab = "norms", main = "Component norms", grid = TRUE,
scales = list(y = list(log = TRUE)), par.settings = list(plot.symbol = list(pch = 20)))
do.call("xyplot", c(list(x = B ~ A, data = d, ssaobj = x),
dots))
}
<environment: namespace:Rssa>
所以答案似乎是:
s$sigma
[1] 78886.190749 329.031810 327.198387 184.659743 88.695271 88.191805
[7] 52.380502 40.527875 31.329930 29.409384 27.157698 22.334446
[13] 17.237926 14.175096 14.111402 12.976716 12.943775 12.216524
[19] 11.830642 11.614243 11.226010 10.457529 10.435998 9.774000
[25] 9.710220 9.046872 8.995923 8.928725 8.809155 8.548962
[31] 8.358872 7.699094 7.266915 7.243014 7.164837 6.203210
[37] 6.085105 6.064150 6.035110 6.028446 5.845783 5.808865
[43] 5.770708 5.753422 5.680897 5.672330 5.650324 5.612606
[49] 5.599314 5.572931