tr.wgaim(wgaim)
tr.wgaim()所属R语言包：wgaim
Display diagnostic information about wgaim QTL model
关于wgaim QTL模型的诊断信息显示。
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Displays diagnostic infomation about QTL detection and significance for the sequence of models used in a wgaim fit.
有关QTL检测及意义的序列模型在wgaim适合的显示诊断INFOMATION的。
用法----------Usage----------
## S3 method for class 'wgaim'
tr(object, iter = 1:length(object$QTL$effects),
diag.out = TRUE, ...)
参数----------Arguments----------
参数：object
an object of class "wgaim"
一个类的对象“wgaim。”
参数：iter
a vector of integers describing the rows of the p-value matrix to display
描述要显示的行的p-值矩阵的矢量的整数
参数：diag.out
logical value. If TRUE then diagnostic information about the testing of the genetic variance is given for all iterations.
逻辑值。如果TRUE那么的遗传变异测试的所有迭代的诊断信息。
参数：...
arguments passed to print.default for displaying of information
参数显示的信息传递给print.default
Details
详细信息----------Details----------
By default the printing of the objects occur with arguments quote = FALSE and right = TRUE. Users should avoid including these arguments.
默认情况下，打印的对象发生的参数quote = FALSE和right = TRUE。包括这些参数，用户应该避免。
值----------Value----------
A probability value matrix for the successvie QTL selected is displayed with rows according to the iterations specified. If diag.out = TRUE then a matrix with rows consisting of the likelihood with genetic variance, the likelihood without genetic variance (NULL model), the statistic and the p-value for the statistic.
根据指定的迭代选择的successvie QTL的概率值矩阵的行显示。如果diag.out = TRUE然后一个矩阵的行与遗传变异的可能性，可能没有遗传变异（NULL模型），统计和p值的统计。
（作者）----------Author(s)----------
Julian Taylor
参考文献----------References----------
average interval mapping and a random effects formulation. Theoretical and Applied Genetics. Submitted.
Bi-Parental Populations Using Linear Mixed Models. Journal of Statistical Software, 40(7), 1-18. URL http://www.jstatsoft.org/v40/i07/.
参见----------See Also----------
wgaim
wgaim
实例----------Examples----------
## Not run: [＃不运行：]
# read in data[读入数据]
data(zinc, package = "wgaim")
data(raccas, package = "wgaim")
# subset linkage map and convert to "interval" object[子集遗传连锁图谱，并将其转换为“间隔”对象]
raccas <- subset(raccas, chr = c("1A1", "2D1", "4D2", "6A1"))
raccas <- cross2int(raccas, missgeno = "Martinez")
# base model[示范碱基]
zn.fm <- asreml(znconc ~ Type, random = ~ Block + id, data = zinc)
# find QTL's[发现QTL的]
zn.qtl <- wgaim(zn.fm, phenoData = zinc, intervalObj = raccas,
merge.by = "id", trace = "trace.txt", na.method.X = "include")
# diagnostic check[诊断检查]
tr(zn.qtl, digits = 4)
## End(Not run)[＃（不执行）]
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 21:04:52
