summary.samediff(sensR)
summary.samediff()所属R语言包:sensR
Summary method for samediff objects.
总结方法samediff对象。
译者:生物统计家园网 机器人LoveR
描述----------Description----------
Makes a summary of a samediff object with option to use profile likelihood for confidence intervals and p-values or the assymptotic variance-covariance matrix.
一个samediff对象选项,使用配置文件置信区间和P-值或assymptotic的的方差 - 协方差矩阵的可能性进行了总结。
用法----------Usage----------
## S3 method for class 'samediff'
summary(object, profile = TRUE, ...)
参数----------Arguments----------
参数:object
a samediff object
samediff对象
参数:profile
logical: Should the profile likelihood be used for confidence intervals and p-values for the parameters? Defaults to TRUE. If FALSE the assymptotic variance-covariance matrix derived from the observed Fisher information matrix will be used. See Details for more information.
逻辑的个人资料可能被用于参数的置信区间和p值?默认为TRUE的。如果FALSE的assymptotic的方差 - 协方差矩阵,将使用来自所观察到的Fisher信息矩阵。请参阅更多信息的详细信息。
参数:...
can be level, eg 0.95 to specify the confidence level of the intervals.
可以level,例如0.95至指定的时间间隔的信心水平。
Details
详细信息----------Details----------
Note that the variance-covariance matrix does not always exist in contrast to the profile likelihood. profile = FALSE may therefore cause confidence intervals etc. to be NA.
请注意,并不总是存在的方差 - 协方差矩阵,在对比的档案可能性。 profile = FALSE可能因此导致的置信区间等为NA。
值----------Value----------
An object of class summary.samediff inheriting elements from the samediff object and with the following additional elements <table summary="R valueblock"> <tr valign="top"><td>table</td> <td> matrix with parameter estimates, standard errors, confidence intervals and p-values.</td></tr> <tr valign="top"><td>AIC</td> <td> the AIC of the object.</td></tr> </table>
一个对象的类summary.samediff samediff对象具有以下附加元素表summary="R valueblock"> <tr valign="top"> <TD> table继承元素<TD>矩阵参数估计值,标准误,置信区间和p值</ TD> </ TD> </ TR> <tr valign="top"> <TD> AIC</ TD> <TD>的AIC的对象。</ TD> </ TR> </ TABLE>
(作者)----------Author(s)----------
Rune Haubo B Christensen
参见----------See Also----------
confint.samediff, profile.samediff
confint.samediff,profile.samediff
实例----------Examples----------
# data: 8 of the same samples were judged to be same[数据:8的相同的样本被判定为相同的]
# 5 of the same samples were judged to be different[5相同的样本被判定为不同的]
# 4 of the different samples were judged to be same[不同的样品4的被判定为相同的]
# 9 of the different samples were judged to be different[不同的样品9的被判定为不同的]
sadi <- samediff(8, 5, 4, 9)
summary(sadi)
summary(sadi, FALSE)
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
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