seqecmpgroup(TraMineR)
seqecmpgroup()所属R语言包：TraMineR
Identifying discriminating subsequences
确定歧视的子序列
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Identify and sort the most discriminating subsequences by their discriminating power.
最挑剔的子序列进行识别和分类，通过他们的鉴别能力。
用法----------Usage----------
seqecmpgroup(subseq, group, method="chisq", pvalue.limit=NULL,
weighted = TRUE)
参数----------Arguments----------
参数：subseq
A subseqelist object (list of subsequences) such as produced by seqefsub
Asubseqelist对象（子序列列表）产生的seqefsub
参数：group
Group membership, i.e., a variable or factor defining the groups which we want to discriminate
集团的成员，即定义一个变量或因素的群体，我们要歧视
参数：method
The discrimination method; one of "bonferroni" or "chisq"
判别方法;"bonferroni"或"chisq"
参数：pvalue.limit
Can be used to filter the results. Only subsequences with a p-value lower than this parameter are selected. If NULL all subsequences are returned (regardless of their p-values).
可用于对结果进行筛选。只有被选择的子序列与一个p值低于此参数。如果NULL返回所有的子序列（不管他们的p值）。
参数：weighted
Logical. If TRUE, seqecmpgroup uses the weights specified in subseq, (see seqefsub).
逻辑。如果TRUE，seqecmpgroup使用中指定的权重subseq（seqefsub）。
Details
详细信息----------Details----------
The following discrimination test functions are implemented: chisq, the Pearson Independence Chi-squared test, and bonferroni, the Pearson Independence Chi-squared test with Bonferroni correction.
下面的歧视测试功能的实现：chisq，皮尔森独立性卡方检验，和bonferroni，皮尔逊独立的卡方检验和Bonferroni校正。
值----------Value----------
An objet of type subseqelistchisq (subtype of subseqelist) with the following elements
OBJET巴黎家居装饰博览会包含下列元素的类型subseqelistchisq（subseqelist）亚型
参数：subseq
Sorted list of found discriminating subsequences
排序的列表发现歧视的子序列，
参数：seqe
The event sequence object on which the tests were computed
事件序列对象的测试计算
参数：constraint
Time constraints used for searching the subsequences (see seqeconstraint)
用于搜索的子序列的时间限制（见seqeconstraint）
参数：labels
Levels (value labels) of the target group variable
水平（值标签）的目标群体变量
参数：type
Type of test used
所使用的测试类型
参数：data
A data frame with columns support, index (original order of the subsequence) and a pair of frequency and Pearson residual columns for each group
为每个组列的支持，指数（原来的顺序的子序列）和一个对频率和Pearson残余列的数据框与
参考文献----------References----------
参见----------See Also----------
See also plot.subseqelistchisq to plot the results
plot.subseqelistchisq绘制的结果
实例----------Examples----------
data(actcal.tse)
actcal.seqe <- seqecreate(actcal.tse)
##Searching for frequent subsequences, that is, appearing at least 20 times[＃搜索频繁的子序列，即，出现至少20倍]
fsubseq <- seqefsub(actcal.seqe, pMinSupport=0.01)
##searching for susbsequences discriminating the most men and women[＃寻找susbsequences鉴别大多数男人和女人]
data(actcal)
discr <- seqecmpgroup(fsubseq, group=actcal$sex, method="bonferroni")
##Printing discriminating subsequences[＃打印歧视的子序列]
print(discr)
##Plotting the six most discriminating subsequences[＃绘制六最挑剔的子序列]
plot(discr[1:6])
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 11:37:30
