plot.irregwd(wavethresh)
plot.irregwd()所属R语言包：wavethresh
Plot variance factors of wavelet transform coefficients for irregularly spaced wavelet transform object
图差异的因素小波变换系数的不规则小波变换对象
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This function plots the variance factors associated with the wavelet coefficients arising from a irregwd.objects irregularly spaced wavelet decomposition object.
此函数曲线的一个irregwd.objects不规则小波分解对象所产生的小波系数差异的相关因素。
用法----------Usage----------
## S3 method for class 'irregwd':
plot(x, xlabels, first.level = 1,
main = "Wavelet Decomposition Coefficients", scaling = "by.level",
rhlab = FALSE, sub, ...)
参数----------Arguments----------
参数：x
The irregwd.objects object whose coefficients you wish to plot.
irregwd.objects对象，你想绘制的系数。
参数：xlabels
A vector containing the "true" x-axis numbers that went with the vector that was transformed to produce the irregwd object supplied as the first argument to this function. If this argument is missing then the function tries to make up a sensible set of x-axis labels.
一个向量，包含“真正的”x轴的向量，转化为产生的irregwd的对象作为这个函数的第一个参数的号码。如果此参数丢失，则该函数尝试做了一个明智的x轴的标签。
参数：first.level
The first resolution level to begin plotting at. This argument can be quite useful when you want to supress some of the coarser levels in the diagram.
第一项决议，开始图。当你想来说，拦截一些粗糙的水平在图中，此参数可以是非常有用的。
参数：main
The main title of the plot.
主标题的图。
参数：scaling
How you want the coefficients to be scaled. The options are: global - one scale factor is chosen for the whole plot. The scale factor depends on the variance factor to be included on the plot that has the largest absolute value. The global option is useful when comparing factors that might appear anywhere in the plot; by.level - a scale factor is chosen for each resolution level in the plot. The scale factor for a level depends on the variance factor in that level that has the largest absolute value. The by.level option is useful when you wish to compare coefficients within a resolution level.
你怎么想的系数进行调整。选项有：global - 选择一个比例因子是整个小区。比例因子的方差系数的图，绝对值最大的。全局选项进行比较时，是非常有用的因素，可能出现在任何地方的图，“by.level - 选择比例因子为每个分辨率级别的图。的比例因子的水平依赖于该级别的方差的具有最大绝对值。 by.level选项是有用的，当你想比较的分辨率级别内的系数。
参数：rhlab
If TRUE then a set of labels is produced on the right hand axis. The axis labels in this case refer to the scale factors used to scale each level and correspond to value of the largest variance factor (in absolute value) in each scale (when scaling=="by.level") or absolutely (when scaling="global"). If the rhlab=FALSE then no right hand axis labels are produced.
如果TRUE然后右手轴线上产生一组标签。在这种情况下的轴标签时，是指使用的比例因子缩放每个水平和相对应的值的最大方差因子（绝对值）在每个尺度（scaling=="by.level"）或绝对（当scaling="global" ）。如果rhlab=FALSE没有右手轴标签。
参数：sub
A subtitle for the plot.
字幕的图。
参数：...
Other arguments supplied to the actual plot
其他参数提供的实际图
Details
详细信息----------Details----------
Produces a plot similar in style to the ones in Donoho and Johnstone, 1994. This function is basically the same as plot.wd except that variance factors and not coefficients are plotted. A variance factor is a number that quantifies the variability of a coefficient induced by the irregular design that was interpolated to a regular grid by the makegrid function which is used the by irregwd irregular wavelet transform function.
产生的图相似的风格，在Donoho和Johnstone，1994年的。此功能基本上是相同plot.wd除了方差因素而非系数绘制。甲方差因子是一个数字，量化系数的变异性引起的不规则的设计被插值，以规则的网格由makegrid函数，这是使用由irregwd不规则小波变换功能。
High values of the variance factor correspond to large variance in the wavelet coefficients but due to the irregular design, not the original noise structure on the coefficients.
高值的变异系数对应的小波系数很大的差异，但由于不规则的设计，而不是原来的噪音结构的系数。
值----------Value----------
If rhlab==TRUE then the scaling factors applied to each scale level are returned. Otherwise NULL is returned.
如果rhlab==TRUE然后返回适用于每个级的比例因子。否则NULL返回。
（作者）----------Author(s)----------
Arne Kovac
实例----------Examples----------
#[]
# The help for makegrid contains an example[帮助makegrid包含一个例子]
# of using this function.[使用此功能。]
#[]
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
注1：为了方便大家学习，本文档为生物统计家园网机器人LoveR翻译而成，仅供个人R语言学习参考使用，生物统计家园保留版权。
注2：由于是机器人自动翻译，难免有不准确之处，使用时仔细对照中、英文内容进行反复理解，可以帮助R语言的学习。
注3：如遇到不准确之处，请在本贴的后面进行回帖，我们会逐渐进行修订。
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发表于 2012-10-1 17:28:51
