JT.test(SAGx)
JT.test()所属R语言包：SAGx
Jonckheere-Terpstra trend test
jonckheere特普斯特拉趋势测试
译者：生物统计家园网 机器人LoveR
描述----------Description----------
The test is testing for a monotone trend in terms of the class parameter.
测试测试一类参数的单调趋势。
用法----------Usage----------
JT.test(data, class, labs = NULL, alternative = c("two-sided", "decreasing", "increasing"), ties = FALSE)
参数----------Arguments----------
参数：data
A matrix with genes in rows and subjects in columns
与矩阵中的行和列科目的基因
参数：class
the column labels, if not an ordered fctor it will be redefined to be one.
列标签，如果没有一个有序的fctor将是一个重新定义。
参数：labs
the labels of the categories coded by class
按类别编码类别的标签
参数：alternative
two-sided, decreasing or increasing
双面，减少或增加
参数：ties
Adjustment for ties
调整的关系
Details
详情----------Details----------
Assumes that groups are given in increasing order, if the class variable is not an ordered factor, it will be redefined to be one. The p-value is calculated through a normal approximation.<br>
假设组递增的顺序，类变量，如果没有一个有序的因素，它会被重新定义为一个。 p值是通过正常的近似计算参考。
The implementation owes to suggestions posted to R list. <br>
实施欠发布的R列表的建议。参考
The definition of predictive strength appears in Flandre and O'Quigley.
预测强度的定义出现在FLANDRE和OQuigley。
值----------Value----------
an object of class JT-test, which extends the class htest, and includes the following slots
JT测试类的对象，这扩展了类htest，包括以下插槽
参数：statistic
the observed JT statistic
观察托德统计的
参数：parameter
the null hypothesis parameter, if other value than 0.
虚无假设参数，如果其他值，大于0。
参数：p.value
the p-value for the two-sided test of no trend.
p值没有趋势的双面测试。
参数：method
Jonckheere-Terpstra
jonckheere-特普斯特拉
参数：alternative
The relations between the levels: decreasing, increasing or two-sided
水平之间的关系：减少，增加或双面
参数：data.name
the name of the input data
输入数据的名称
参数：median1 ... mediann
the medians for the n groups
N组的中位数
参数：trend
the rank correlation with category
同类别的等级相关
参数：S1
Predictive strength
预测强度
作者（S）----------Author(s)----------
Per Broberg, acknowledging input from Christopher Andrews at SUNY Buffalo
参考文献----------References----------
Flandre, Philippe and O'Quigley, John, Predictive strength of Jonckheere's test for trend: an application to genotypic scores in HIV infection,
举例----------Examples----------
# Enter the data as a vector[输入的数据作为向量]
A <- as.matrix(c(99,114,116,127,146,111, 125,143,148,157,133,139, 149, 160, 184))
# create the class labels[创建类的标签]
g <- c(rep(1,5),rep(2,5),rep(3,5))
# The groups have the medians[该组中位数]
tapply(A, g, median)
# JT.test indicates that this trend is significant at the 5% level[JT.test表明，这种趋势是显着水平为5％]
JT.test(data = A, class = g, labs = c("GRP 1", "GRP 2", "GRP 3"), alternative = "two-sided")
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 2012-2-26 13:47:26
