N-V-Vm.vgc(zipfR)
N-V-Vm.vgc()所属R语言包:zipfR
Access Methods for Vocabulary Growth Curves (zipfR)
访问方法词汇增长曲线(zipfR)的
译者:生物统计家园网 机器人LoveR
描述----------Description----------
Return the vector of sample sizes (N.vgc), vocabulary sizes (V.vgc) or class sizes (Vm.vgc) from the vocabulary growth curve (VGC) represented by a vgc object. For an expected or interpolated VGC with variance information, VV.vgc returns the vector of variances of the vocabulary size and VVm.vgc the variance vectors for individual spectrum elements.
返回向量的样本量(N.vgc),词汇量(V.vgc)或班级规模(Vm.vgc)表示从词汇的生长曲线(VGC)的vgc对象。对于一个预期,或插VGC与方差信息,VV.vgc返回向量的词汇量和VVm.vgc的变化向量为个人频谱元素的差异。
Note that these functions are not user-visible. They can be called implicitly through the generic methods N, V, Vm, VV and VVm, applied to an object of type vgc.
需要注意的是,这些功能是用户不可见。他们可以通过隐式调用的一般方法N,V,Vm,VV和VVm,适用的对象类型vgc 。
用法----------Usage----------
## S3 method for class 'vgc'
N(obj, ...)
## S3 method for class 'vgc'
V(obj, ...)
## S3 method for class 'vgc'
Vm(obj, m, ...)
## S3 method for class 'vgc'
VV(obj, N=NA, ...)
## S3 method for class 'vgc'
VVm(obj, m, N=NA, ...)
参数----------Arguments----------
参数:obj
an object of class vgc, representing an observed, interpolated or expected VGC
vgc,占所观察到的类的一个对象,内插或预期VGC
参数:m
positive integer value determining the frequency class m for which the vector of class sizes is returned
正整数的值确定频率类m返回矢量每班人数
参数:N
not applicable (this argument of the generic method is not used by the implementation for vgc objects and must not be specified)
不适用(此参数的通用方法不使用的实现vgc对象的,并且必须不能指定)
参数:...
additional arguments passed on from generic method will be ignored
从泛型方法传递额外的参数将被忽略
Details
详细信息----------Details----------
VV.vgc a VVm.vgc will fail if the object obj does not include variance data. Vm.vgc and VVm.vgc will fail if the selected frequency class is not included in the VGC data.
VV.vgc,VVm.vgc将失败,如果对象obj不包括方差数据。 Vm.vgc和VVm.vgc将失败,如果所选择的频度等级没有包括在VGC数据,。
值----------Value----------
N.vgc returns the vector of sample sizes N, V.vgc returns the corresponding vocabulary sizes V(N) (or expected vocabulary sizes E[V(N)]), and Vm.vgc returns the vector of class sizes V_m(N) (or the expected spectrum elements E[V_m(N)]) for the selected frequency class m.
N.vgc返回向量的样本大小N,V.vgc返回相应的词汇量V(N)(或预期的词汇量E[V(N)])Vm.vgc返回矢量每班人数V_m(N)(或预期的光谱元素E[V_m(N)])为选定的频度等级m。
For an expected or interpolated VGC with variance information, VV.vgc returns the vector of variances Var[V(N)] of the expected vocabulary size, and VVm.vgc returns vector of variances Var[V_m(N)] for the selected frequency class m.
对于一个预期,或插VGC与方差信息,VV.vgc返回向量的差异Var[V(N)]的预期词汇量的大小,和VVm.vgc返回向量的差异Var[V_m(N)]选定的频率类m。
参见----------See Also----------
N, V, Vm, VV, VVm for the generic methods and links to other implementations
N,V,Vm,VV,VVm的一般方法和链接到其他的实现
vgc for details on vocabulary growth curve objects and links to other relevant functions
vgc词汇增长曲线对象的有关详细信息,并链接到其他相关的功能
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。
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