plot.wst(wavethresh)
plot.wst()所属R语言包：wavethresh
Plot packet-ordered non-decimated wavelet transform coefficients.
图分组排序的非抽取小波变换系数。
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This function plots packet-ordered non-decimated wavelet transform coefficients arising from a wst.object object.
此函数曲线分组排序的非抽取小波变换系数所产生的一个wst.object对象。
用法----------Usage----------
## S3 method for class 'wst':
plot(x, main = "Nondecimated Wavelet (Packet) Decomposition",
sub, first.level = 5, scaling = "compensated", dotted.turn.on = 5,
aspect = "Identity", ...)
参数----------Arguments----------
参数：x
The wst object whose coefficients you wish to plot.
WST对象，你想绘制的系数。
参数：main
The main title of the plot.
主标题的图。
参数：sub
A subtitle for the plot.
字幕的图。
参数：first.level
The first resolution level to begin plotting at. This argument can be quite useful when you want to suppress some of the coarser levels in the diagram.
第一项决议，开始图。当你想抑制一些粗糙的水平在图中，此参数可以是非常有用的。
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 coefficient to be included on the plot that has the largest absolute value. The global option is useful when comparing coefficients 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 coefficient 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. The other option is compensated which is the same as global except for that finer scales' coefficients are scaled up by a factor of SQRT(2)
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。规模因素取决于系数的绝对值最大的图，被列入。全局选项是很有用的比较系数时，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。的比例因子的水平取决于在该水平上的系数具有的最大绝对值。 by.level选项是有用的，当你想比较的分辨率级别内的系数。另一种选择是compensated这是相同的为全局的除外，更精细的尺度系数缩放由一个因素SQRT（2）
I don't know why compensated is the default option? It is a bit silly.
我不知道为什么补偿是默认选项？这是一个有点傻。
参数：dotted.turn.on
The plot usually includes some dotted vertical bars that separate wavelet packets to make it clearer which packets are which. This option controls the coarsest resolution level at which dotted lines appear. All levels equal to and finer than this level will receive the vertical dotted lines.
图通常包括一些点缀的竖线，使其更清晰的数据包是不同的小波包。此选项可控制的粗分辨率的水平虚线出现。所有级别等于或小于这个水平将收到的垂直的虚线。
参数：aspect
A transform to apply to the coefficients before plotting. If the coefficients are complex-valued and aspect="Identity" then the modulus of the coefficients are plotted.
一个转换，适用于之前绘制的系数。如果系数是复数值和纵横=“身份”，然后绘制的系数的模量。
参数：...
Other arguments to plot
其他参数绘制
Details
详细信息----------Details----------
A packet-ordered non-decimated wavelet object contains coefficients of a signal (usually obtained by the wst packet-ordered non-decimated wavelet transform, but also functions that derive such objects, such as threshold.wst).
一个数据包有序非抽取小波的对象的包含信号的系数（通常是通过wst包排序，非抽取小波变换，但也派生的功能，这样的对象，如threshold.wst）。
A packet-ordered nondecimated wavelet object, x, possesses nlevels(x) resolution levels. In WaveThresh the coarsest level is level 0 and the finest is level nlevels-1. For packet-ordered nondecimated wavelet the number of blocks (packets) at level j is 2^(nlevels-j).
数据包排序，nondecimated小波对象，X，拥有nlevels(x)的分辨率水平。在WaveThresh最粗的级别为0和最好的水平nlevels-1。对于分组下令nondecimated小波的块的个数（数据包），在水平j是2^(nlevels-j)。
This function plots the coefficients. At the bottom of the plot the original input function (if present) is plotted. Then levels above the original plot successively coarser wavelet coefficients. Each packet of coefficients is plotted within dotted vertical lines. At the finest level there are two packets: one (the left one) correspond to the wavelet coefficients that would be obtained using the (standard) decimated wavelet transform function, wd, and the other packet are those coefficients that would have been obtained using the standard decimated wavelet transform after a unit cyclic shift.
此函数曲线的系数。在底部的图的原始的输入功能（如果存在的话）绘制。然后以上的原创图的先后粗糙的小波系数的水平。绘制虚线的垂直线范围内的系数的每一个数据包。在最好的水平，有两个数据包：一个（左边的一个）对应的小波系数，将使用的（标准）抽取小波变换函数，wd方式获得，和其他的数据包是那些系数，将有得到使用的是标准的抽取小波变换后的单元的循环移位。
For coarser levels there are more packets corresponding to different cyclic shifts (although the computation is not performed using shifting operations the effect is the same). For full details see Nason and Silverman, 1995.
对于粗糙的水平，有更多的数据包相对应的不同的循环移位（虽然计算不进行变速操作的效果是相同的）。如需完整的详细信息，请参阅利晨和Silverman，1995年。
Packets are drawn on the plot and can be separated by vertical dotted lines. The resolution levels at which this happens can be controlled by the dotted.turn.on option. The coarsest resolution level to be drawn is controlled by the first.level option.
报文的图上绘制，并可以由垂直虚线分隔。分辨率级别在发生这种情况，可以通过dotted.turn.on选项。最粗糙的分辨率级要绘制控制由first.level option。
It should be noted that the packets referred to here are just the blocks of nondecimated wavelet coefficients in a packet-ordering. These are different to wavelet packets (produced by wp) and nondecimated wavelet packets (produced by wpst)
应该指出的是，这里所指的数据包都只是块的分组顺序中nondecimated小波系数。这些不同的小波包（wp）和nondecimated小波包（wpst）
值----------Value----------
Nothing
无
（作者）----------Author(s)----------
G P Nason
参见----------See Also----------
实例----------Examples----------
#[]
# Generate some test data[生成一些测试数据。]
#[]
v <- DJ.EX()$heavi
#[]
# Let's plot these to see what they look like[让我们来绘制这些看他们的样子]
#[]
## Not run: plot(v, type="l")[＃未运行图（V，类型为“L”）]
#[]
# Do a packet-ordered non-decimated wavelet packet transform[数据包的排序的非抽取小波包变换]
#[]
vwst <- wst(v)
#[]
# Now plot the coefficients[现在绘制的系数]
#[]
## Not run: plot(vwst)[＃不运行：图（vwst）]
#[]
# Note that the "original" function is at the bottom of the plot.[需要注意的是“原始”的功能是底部的图。]
# The finest scale coefficients (two packets) are immediately above.[正上方最好的尺度系数（两包）。]
# Increasingly coarser scale coefficients are above that![越来越多较粗的尺度系数高于！]
#[]
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 17:29:42
