Best1DCols(wavethresh)
Best1DCols()所属R语言包：wavethresh
Extract the best (one-dimensional) nondecimated WP packets
提取最佳（一维）nondecimated：WP报文
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This function takes the whole set of nondecimated wavelet packets and selects those packets that correlate best with the "response" groups. The idea is to reduce the large dimensionality (number of packets) into something more manageable which can then be fed into a proper discriminator.
此功能需要一整套nondecimated小波包，并选择那些与“响应”组相关的数据包，最好的。我们的想法是减少大维（的数据包的数量）的成更容易管理的，它可以然后被送入一个适当的鉴别。
用法----------Usage----------
Best1DCols(w2d, mincor= 0.69999999999999996)
参数----------Arguments----------
参数：w2d
An object that gets returned from a call to the wpst2discr function which turns a wpst class object into a regular multivariate matrix
返回一个对象，该对象调用的wpst2discr类的对象变成一个WPST的的功能，成为一个经常性的多元矩阵
参数：mincor
The threshold above which variables (packets) get included into the final mix if their correlation with the groups variable is higher than this value.
的阈值以上的变量（数据包）浏览包含到最终混合，如果它们与组变量的相关性是高于此值。
Details
详细信息----------Details----------
This function is not intended for direct user use. In this function, the w2d object contains a matrix where each column contains the coefficients of a single packet from a non-decimated wavelet packet transform. The number of rows of the matrix is the same as the original time series and hence each column can be correlated with a separate groups variable that contains the group membership of a separate variable which changes over time. Those packet columns that have correlation greater than the mincor value are extracted and returned in the BasisMatrix item of the returned list.
此功能的目的不是供用户直接使用。在这个函数中，W2D对象包含一个矩阵，其中每一列都包含一个单一的数据包从一个非抽取小波包变换的系数。作为原始时间序列的矩阵的行的数量是相同的，因此，每一列都可以与一个单独的组变量，它包含一个单独的变量，随着时间的推移而变化的组成员身份。这些分组列有相关性大于mincor值BasisMatrix返回的列表中的项目进行提取和返回。
值----------Value----------
A list with the following components: <table summary="R valueblock"> <tr valign="top"><td>nlevels</td> <td> The number of levels of the nondecimated wavelet packet encapsulator, w2d</td></tr> <tr valign="top"><td>BasisMatrix</td> <td> The highest correlating packets, sorted according to decreasing correlation</td></tr> <tr valign="top"><td>level</td> <td> The levels corresponding to the selected packets</td></tr> <tr valign="top"><td>pkt</td> <td> The packet indices corresponding to the selected packets</td></tr> <tr valign="top"><td>basiscoef</td> <td> The sorted correlations</td></tr> <tr valign="top"><td>groups</td> <td> The groups time series</td></tr> </table>
与下列组件的列表：<table summary="R valueblock"> <tr valign="top"> <TD>nlevels</ TD> <TD>水平的所nondecimated的小波包封装的数量， W2D </ TD> </ TR> <tr valign="top"> <TD> BasisMatrix </ TD> <TD>的最高相关的数据包，根据相关性下降排序</ TD> </ TR> <tr valign="top"> <TD> level </ TD> <TD>水平对应到选定的数据包</ TD> </ TR> <tr valign="top"> <TD> pkt </ TD> <TD>对应到选定的数据包的包索引</ TD> </ TR> <tr valign="top"> <TD> basiscoef</ TD> <TD>排序的相关性</ TD> </ TR> <tr valign="top"> <TD> groups </ TD> <TD>组时间序列</ TD> </ TR> </ TABLE>
（作者）----------Author(s)----------
G P Nason
参见----------See Also----------
makewpstDO,wpst2discr
makewpstDO，wpst2discr
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 17:13:45
