norm.labov(vowels)
norm.labov()所属R语言包：vowels
Normalize Vowels with Labov ANAE Method
标准化元音拉波夫ANAE法
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Normalizes acoustic vowel formant data using Labovs modification of Nearey, from the Atlas of North American English.
标准化的声学元音的共振峰数据使用Labovs修改Nearey，从Atlas的北美英语。
用法----------Usage----------
norm.labov(vowels, G.value=NA, use.f3=FALSE, geomean=TRUE)
参数----------Arguments----------
参数：vowels
a required dataframe of the format: speaker_id, vowel_id, context, F1, F2, F3, F1_glide, F2_glide, F3_glide. The context column and glide columns must exist but can be empty.
所需的数据框的格式为：speaker_id，vowel_id，上下文，F1，F2，F3，F1_glide，F2_glide，F3_glide。上下文列和滑行列必须存在，但是可以为空。
参数：G.value
the overall "grand mean" value to use in the normalization formula. See details, below. If NA, the function uses the default value of 6.896874, which Labov in his Telsur project found to be a stable group mean for 345 American English speakers. Differences in G.value for a set of data probably only effect of the scaling.
整体“大平均”值使用标准化公式。查看详细信息，如下。如果不适用，该函数使用的默认值6.896874，拉波夫在他的Telsur项目是一个稳定的组平均为345美国英语为母语的。差异在G.value为一组数据可能只效果的缩放。
参数：use.f3
if TRUE, the normalization procedure includes F3 values in the process. This both generates normalization F3' values AND impacts the values obtained for F1' and F2'. Default is FALSE.
如果为TRUE，标准化的过程在这个过程中包括F3的值。这既产生标准化F3的价值和影响得到的数值为F1和F2。默认值是false。
参数：geomean
following Labov, the default (TRUE) uses the geometric mean instead of the arithmetic mean to calculate the normalized values. The results of the method are slightly different depending on which mean strategy is used, but testing has indicated the differences are insignificant.
继拉波夫，默认值（TRUE），使用的几何平均值，而不是的算术平均值来计算的归一化值。结果的方法略有不同，这取决于意味着使用策略，但测试已表明的差别是微不足道的。
Details
详细信息----------Details----------
Labov's method - the normalization approach used by the phonological Atlas of North American English (Labov et al. 2006) - is a modification of Nearey's. While it also uses a log-mean method to normalize the formant values, the primary difference is that it computes a single grand mean for all speakers included in the study (i.e. it's speaker-extrinsic, while Nearey is typically speaker-intrinsic). Also, unlike Nearey, it computes a scaling factor for each individual which is then used to modify each individual's vowel space rather than computing a set of non-Hertz-like values. In other words, since it is speaker-extrinsic, it is able to scale the original Hertz values as a part of its normalization process.
拉波夫的方法 - 归一化方法，所使用的语音图集的北美英语（拉波夫等人，2006） - 是修改Nearey的。虽然它也使用log的意思标准化的共振峰值的方法，主要的区别是，它计算的总平均为所有扬声器的研究（即它的扬声器外在的，而Nearey通常是扬声器内在的）。此外，不像Nearey，计算每个个体然后用于修改每个个体的元音，而不是计算一组非赫兹样值的空间的比例因子。换句话说，因为它是外在的扬声器，它是能够扩展其归一化处理的一部分的值作为原始赫兹。
NORM's implementation of the Labov method follows the formulas laid out by Labov et al. (2006: 39-40). A logarithmic grand geometric mean, G, is required for all vowels for all speakers. A logarithmic mean value, S, is then calculated for each speaker by taking the natural log of the F1 and F2 values for all of that speaker's vowels. The anti-log of the difference, G - S, is taken for F, the scaling factor for that speaker. Each individual's formant values are then multiplied by the scaling factor F to obtain her or his normalized values.
NORM的执引号况如下的拉波夫方法的拉波夫等人所规定的公式。 （2006：39-40）。对数盛大的几何平均值，G，所有的扬声器所需的所有元音字母。的对数的平均值，S，然后计算各扬声器的采取所有该扬声器的元音的F1和F2的值的自然对数。反log的区别，G - S，取为F，该扬声器的缩放因子。然后每个个体的共振峰值乘以缩放因子F，以获得他或她的归一化值。
值----------Value----------
A data frame in one of two formats: If use.f3 is TRUE: speaker_id, vowel_id, F1', F2', F3', F1'gl, F2'gl, F3'gl If use.f3 is FALSE: speaker_id, vowel_id, F1', F2', F1'gl, F2'gl, with the attribute "no.f3s" == TRUE
一个数据框两种格式之一：如果use.f3是TRUE：speaker_id，vowel_id，F1，F2，F3，F1gl，F2gl，F3gl如果use.f3是FALSE：speaker_id，vowel_id ，F1，F2，F1gl，F2gl，与的属性“no.f3s”== TRUE
警告----------Warning ----------
The development of the library and this function are ongoing. The arguments to the function may change in future version.
该库开发的功能，该功能仍在进行中。在未来版本的功能的参数可能会改变。
（作者）----------Author(s)----------
Kendall, Tyler <tsk3@duke.edu>
参考文献----------References----------
Labov, William, Sharon Ash, and Charles Boberg. 2006. The Atlas of North American English: Phonology, Phonetics, and Sound Change. A Multimedia Reference Tool. Berlin: Mouton de Gruyter.
参见----------See Also----------
norm.bark, norm.lobanov, norm.nearey, norm.wattfabricius
norm.bark，norm.lobanov，norm.nearey，norm.wattfabricius
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 16:32:04
