tsLib-class(TargetSearch)
tsLib-class()所属R语言包：TargetSearch
Class for representing a reference library
类为代表的参考库
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This is a class representation of a reference library.
这是一个参考图书馆类表示。
类的对象----------Objects from the Class----------
Objects can be created by the function ImportLibrary.
对象可以创建功能ImportLibrary。
插槽----------Slots----------
Name: "character", the metabolite or analyte names.
Name："character"，代谢物或分析物的名称。
RI: "numeric", the expected retention time indices (RI) of the metabolites/analytes.
RI："numeric"，预期停留时间指数（RI）的代谢物/分析物。
medRI: "numeric", the median RI calculated from the samples.
medRI："numeric"，计算RI样本中位数。
RIdev: "matrix", the RI deviation windows, k = 1,2,3. A three column matrix
RIdev："matrix"，国际扶轮偏差窗口，K = 1,2,3。一个三列的矩阵
selMass: "list", every component is a numeric vector containing the selective masses.
selMass："list"，每一个组件是一个数值向量含有选择性群众的。
topMass: "list", every component is a numeric vector containing the top masses.
topMass："list"，每一个组件是一个数值向量含有顶端群众的。
quantMass: "numeric", the mass used for quantification.
quantMass："numeric"，量化的质量。
libData: "data.frame", additional library information.
libData："data.frame"，额外的库信息。
spectra: "list", the metabolite spectra. Each component is a two column matrix: m/z and intensity.
spectra："list"，代谢物谱。每个组件是一个两列矩阵的m / z和强度。
方法----------Methods----------
[ signature(x = "tsLib"): Selects a subset of metabolites from the library.
[signature(x = "tsLib")：选择从库中代谢产物的一个子集。
$name signature(x = "tsLib"): Access column name of libData slot.
$namesignature(x = "tsLib")：访问列namelibData插槽。
libId signature(obj = "tsLib"): Returns a vector of indices.
libIdsignature(obj = "tsLib")：返回一个矢量指数。
length signature(x = "tsLib"): returns the length of the library. i.e., number of metabolites.
length的signature(x = "tsLib")：返回库的长度。即代谢产物。
libData signature(obj = "tsLib"): gets/sets the libData slot.
libDatasignature(obj = "tsLib")：获取/设置libData插槽。
libName signature(obj = "tsLib"): gets the Name slot.
libNamesignature(obj = "tsLib")：得到Name槽。
libRI signature(obj = "tsLib"): gets the RI slot.
libRIsignature(obj = "tsLib")：得到RI槽。
medRI signature(obj = "tsLib"): gets the medRI slot.
medRIsignature(obj = "tsLib")：得到medRI槽。
refLib signature(obj = "tsLib"): Low level method to create a matrix representation of the library.
refLibsignature(obj = "tsLib")：低层次的方法来创建一个图书馆的矩阵表示。
RIdev signature(obj = "tsLib"): gets the RI deviations.
RIdev的signature(obj = "tsLib")：获得国际扶轮的偏差。
RIdev<- signature(obj = "tsLib"): sets the RI deviations.
RIdev<-signature(obj = "tsLib")：设置RI偏差。
quantMass signature(obj = "tsLib"): gets the quantification mass.
quantMass的signature(obj = "tsLib")：得到量化的质量。
quantMass<- signature(obj = "tsLib"): sets the quantification mass.
quantMass<-signature(obj = "tsLib")：设置量化的质量。
selMass signature(obj = "tsLib"): gets the selective masses.
selMasssignature(obj = "tsLib")：获得选择性的群众。
show signature(object = "tsLib"): show method.
showsignature(object = "tsLib")的show方法。
spectra signature(obj = "tsLib"): gets the spectra.
spectra的signature(obj = "tsLib")：得到的光谱。
topMass signature(obj = "tsLib"): gets the top masses.
topMasssignature(obj = "tsLib")：获得顶级的群众。
作者（S）----------Author(s)----------
Alvaro Cuadros-Inostroza, Matthew Hannah, Henning Redestig
参见----------See Also----------
ImportLibrary
ImportLibrary
举例----------Examples----------
showClass("tsLib")
# define some metabolite names[定义一些代谢物的名称]
libNames <- c("Metab1", "Metab2", "Metab3")
# the expected retention index[预计保留指数]
RI <- c(100,200,300)
# selective masses to search for. A list of vectors.[选择性群众寻找。向量列表。]
selMasses <- list(c(95,204,361), c(87,116,190), c(158,201,219))
# define the retention time windows to look for the given selective masses.[定义保留时间窗口，寻找选择性群众。]
RIdev <- matrix(rep(c(10,5,2), length(libNames)), ncol = 3, byrow = TRUE)
# Set the mass spectra. A list object of two-column matrices, or set to [设置质谱。一个两列的矩阵列表中的对象，或设置为]
# an empty list if the spectra is not available[一个空列表，如果没有谱是]
spectra <- list()
# some extra information about the library[一些额外的信息库]
libData <- data.frame(Name = libNames, Lib_RI = RI)
# create a reference library object[创建一个引用库对象]
refLibrary <- new("tsLib", Name = libNames, RI = RI, medRI = RI, RIdev = RIdev,
selMass = selMasses, topMass = selMasses, spectra = spectra, libData = libData)
# get the metabolite names[获得的代谢物的名称]
libName(refLibrary)
# set new names[设置新的名字]
libName(refLibrary) <- c("Metab01", "Metab02", "Metab03")
# get the expected retention times[得到预期的保留时间]
libRI(refLibrary)
# set the retention time index for metabolite 3 to 310 seconds[设置的代谢产物3至310秒的停留时间指数]
libRI(refLibrary)[3] <- 310
# change the seleccion and top masses of metabolite 3[改变代谢产物3 seleccion和顶部群众的]
selMass(refLibrary)[[3]] <- c(158,201,219,220,323)
topMass(refLibrary)[[3]] <- c(158,201,219,220,323)
# change the retention time deviations[改变保留时间偏差]
RIdev(refLibrary)[3,] <- c(8,4,1)
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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发表于 2012-2-26 15:24:51
