plot.modwt(wavelets)
plot.modwt()所属R语言包：wavelets
Plot MODWT Coefficients
图MODWT系数
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Plot MODWT wavelet and scaling coefficients.
的图MODWT小波和缩放系数。
用法----------Usage----------
## S3 method for class 'modwt'
plot(x, levels = NULL, draw.boundary = FALSE, type = "stack",
col.plot = "black", col.boundary = "red", X.xtick.at = NULL, X.ytick.at
= NULL, Stack.xtick.at = NULL, Stack.ytick.at = NULL, X.xlab = "t",
y.rlabs = TRUE, plot.X = TRUE, plot.W = TRUE, plot.V = TRUE, ...)
参数----------Arguments----------
参数：x
An object of class dwt.
对象的类dwt。
参数：levels
Number, vector, or list of two vectors indicating range of levels to plot. See details.
数，向量，两个向量的指示范围内的水平图名单。查看详细信息。
参数：draw.boundary
Logical value indicating whether to draw boundary coefficients.
逻辑值，该值指示是否绘制边界系数。
参数：type
Type of plot to draw. Currently only "stack" is implemented.
图绘制的类型。目前，只有“堆栈”的实施。
参数：col.plot
Color of wavelet and scaling coefficients.
小波和缩放系数的颜色。
参数：col.boundary
Color of boundary coefficient lines.
颜色的边界系数行。
参数：X.xtick.at
Vector specifying the extreme tick mark locations and the number of intervals between those extreme tick marks on the horizontal axis of the plot of the original times series. This vector takes the form similar to par("xaxp"), and is defaulted to par("xaxp") when X.xtick.at is not specified.
矢量指定的极端的刻度标记的位置和这些极端的原来的时间序列的图上的水平轴的刻度标记之间的间隔的数目。这个向量的形式类似面值（“xaxp”），默认为面值（“xaxp”）X.xtick.at不指定。
参数：X.ytick.at
Vector specifying the extreme tick mark locations and the number of intervals between those extreme tick marks on the vertical axis of the plot of the original times series. This vector takes the form similar to par("yaxp"), and is defaulted to par("yaxp") when X.ytick.at is not specified.
矢量指定的极端的刻度标记的位置和这些极端的原始的时间序列的图上的垂直轴的刻度标记之间的间隔的数目。这个向量的形式类似面值（“yaxp”），默认为面值（“yaxp”）X.ytick.at不指定。
参数：Stack.xtick.at
Vector of form similar to X.xtick.at specifying the tick mark locations on the horizontal axis of the stacked plot. This is applicable only if plot.X is FALSE.
向量的形式类似X.xtick.at指定刻度线的位置，在横轴上堆叠的图。这是适用的，只有plot.X是FALSE。
参数：Stack.ytick.at
Vector of form similar to X.ytick.at specifying the tick mark locations on the vertical axis of the stacked plot. This is applicable only if plot.X is FALSE.
向量的形式类似X.ytick.at指定的刻度线位置的垂直轴堆叠的图。这是适用的，只有plot.X是FALSE。
参数：X.xlab
String specifying the label of the horizontal axis of the plot of the original time series.
字符串指定标签的水平轴的原始时间序列的图。
参数：y.rlabs
Logical flag indicating whether to draw the vertical labels on the right vertical axis of the stacked plot. These labels indicate the number of boundary coefficients to the right of the right boundary line, and the level of decomposition of the wavelet (or scaling) coefficients.
逻辑标志，指示是否要绘制的层叠积的右边垂直轴垂直的标签上。这些标签表示边界系数的数量的权利的权利的边界线，和分解的小波（或缩放）系数的水平。
参数：plot.X
Logical flag indicating whether to draw original time series.
逻辑标志指示，是否绘制原来的时间序列。
参数：plot.W
Logical flag indicating whether to draw the wavelet coefficients in the stacked plot.
逻辑标志，指示是否绘制在堆叠图的小波系数。
参数：plot.V
Logical flag indicating whether to draw the scaling coefficients in the stacked plot.
逻辑标志，指示是否在堆叠图绘制缩放系数。
参数：...
Additional paramters that are acceptable arguments to the generic plot function
额外的参数研究的通用plot函数的参数是可以接受的
Details
详细信息----------Details----------
plot.modwt plots the MODWT wavelet and scaling coefficients. The type parameter species the type of plot, which is currently only stack. If the MODWT object is defined for multiple time series, only the data pertaining to the first time series of the MODWT object is plotted. Thus, only the wavelet coefficients and scaling coefficients of the first time series of the MODWT object will be plotted. If a single number is specified for levels, then the wavelet coefficients of levels 1 through levels will be plotted. Otherwise, a vector or the first element of a list will specify which levels of the wavelet coefficients will be plotted. Unless specified in the second element of a list, only one level of scaling coefficients will be plotted and this level is equal to the highest level of the wavelet coefficients plotted.
plot.modwt绘制MODWT小波和尺度系数。 type参数种类型的图，这是目前唯一的堆栈。如果MODWT对象被定义为多个时间序列中，只有数据有关的第一个时间序列的MODWT对象绘制。因此，只有对小波系数和缩放系数，所述第一时间序列的MODWT对象将被绘制。如果一个单一的数字被指定为levels，然后的小波系数等级1至levels会被绘制。否则，一个向量或列表中的第一个元素将指定将被绘制的小波系数的层次。除非另外指定，在列表中的第二个元素，只有一个水平缩放系数将被绘制，这个水平是等于到最高级别的小波系数绘制。
For each respective axis, the distance between a tick mark on the plot of the original time series is equivalent to the distance between a tick mark on the stacked plot. Thus, when altering the relative spacing of the tick marks on the plot of the original time series using X.xtick.at or X.ytick.at, the tick marks of the stacked plot are automatically adjusted. If the plot of the original time series is not drawn, then the user can alter the spacing of the tick marks using Stack.xtick.at and Stack.ytick.at for the horizontal and vertical axes, respectively.
对于各自的轴，图的原始时间序列上的一个刻度线之间的距离，相当于一个刻度线之间的距离在堆叠的图。因此，图的原始时间序列的改变相对间隔的刻度时，X.xtick.at或X.ytick.at，堆叠的图的刻度会自动调整。如果原始时间序列的图不被显示，那么用户就可以改变的刻度间距Stack.xtick.at和Stack.ytick.at的水平轴和垂直轴，分别。
One of plot.W or plot.V must be TRUE.
plot.W或plot.V必须为True。
（作者）----------Author(s)----------
Kelvin Ma, kkym@u.washington.edu
参考文献----------References----------
Series Analysis, Cambridge University Press.
参见----------See Also----------
stackplot
stackplot
实例----------Examples----------
X <- rnorm(2048)
modwtobj <- modwt(X)
# Plotting wavelet coefficients at levels 1 through 6 and scaling[绘制小波系数的水平1至6和缩放]
# coefficients at level 6.[系数6级。]
plot.modwt(modwtobj, levels = 6)
# Plotting wavelet coefficients of levels 1, 3, 5, and scaling[绘制小波系数的水平1，3，5，和缩放]
# coefficients of levels 4 and 5, and green boundary coefficients[4级和5，绿色边界系数系数]
# lines.[线。]
plot.modwt(modwtobj, levels = list(c(1,3,5),c(4,5)), draw.boundary =
TRUE, col.boundary = "green")
# Plotting wavelet coefficients at level 1 through 6 and not plotting[绘制小波系数在1级至第6，而不是绘制]
# any scaling coefficients.[任何缩放系数。]
plot.modwt(modwtobj, levels = 6, plot.V = FALSE)
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。
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发表于 2012-10-1 16:58:55
