# # - eval = FALSE --------------------------------------------------------------- # 如果(!requireNamespace(“BiocManager”,悄悄地= TRUE)) # install.packages (BiocManager) # BiocManager::安装(“globalSeq ") ## ----------------------------------------------------------------------------- 库(globalSeq) # # - eval = FALSE --------------------------------------------------------------- # 附加(toydata) # #——回声= FALSE --------------------------------------------------------------- 名称< -名称(toydata)(我在1:长度(名字)){分配(名字(我),rm toydata[[我]])}(名字)# # - eval = FALSE --------------------------------------------------------------- # 功效:帮助(globalSeq) #跑龙套::装饰图案(“globalSeq ") ## ----------------------------------------------------------------------------- cbind X (y) ) ## ----------------------------------------------------------------------------- set.seed(1)综合(y、X ) ## ----------------------------------------------------------------------------- rbind (y,抵消)# #----------------------------------------------------------------------------- set.seed(1)综合(y、X,抵消=抵消 ) ## ----------------------------------------------------------------------------- rbind (y)组 ) ## ----------------------------------------------------------------------------- set.seed(1)综合(y, X,组=组 ) ## ----------------------------------------------------------------------------- set.seed(1)综合(y, X,φ= 0)# #----------------------------------------------------------------------------- X1 < - X [c (1:11, 15)] X2 < - X [12:14 ] ## ----------------------------------------------------------------------------- set.seed(1)综合(y,列表(X1, X2) )) ## ---- 结果= '隐藏 '----------------------------------------------------------- 综合(y, X = 1) #原油排列测试综合(y, X = 0.05) #打断排列混合(y, X = 0) # # #控制变量的方法——结果=‘隐藏’,fig.width = 5, fig.height = 2.5,无花果。显示= '举行 '---------------- proprius (y、X、类型=“样品”)proprius协变量(y、X、类型= " ") ## ---- 结果= '隐藏',fig.width = 5, fig.height = 3,无花果。显示= '举行 '------------------ proprius (y、X、类型=“共”,α= 0.05 ) ## ----------------------------------------------------------------------------- cbind (Yloc Ychr Y) cbind (Vloc Vchr, V) cbind (Wloc Wchr W) # #——回声= FALSE --------------------------------------------------------------- (我在1:长度(Yloc)){猫(粘贴(名字(Yloc[我]),”:猫”,9 = " "))(名称(Vloc) [Yloc[我]5 < Vloc & Vloc < Yloc[我]+ 5],“\ n ") } ## ---- 结果= '隐藏',消息= FALSE --------------------------------------------- set.seed (1) cursus (Y, Yloc, V, Vloc窗口= 5)# # =“隐藏”——结果,消息= FALSE --------------------------------------------- set.seed (1) cursus (Y, Yloc, V, Vloc窗口= 5,Ychr, Vchr) # # =“隐藏”——结果,消息= FALSE --------------------------------------------- 抵消< - colSums (Y) #库大小set.seed (1)cursus (Y, Yloc, V, Vloc窗口= 5,抵消=抵消)# #——消息= FALSE ------------------------------------------------------------ set.seed (1) cursus (Y, Yloc,列表(V, W), (Vloc Wloc)列表,列表(5,50 )) ## ---- eval = FALSE --------------------------------------------------------------- # 列表< -磨边机:DGEList (Y) # <列表-磨边机::calcNormFactors列表(列表)# < -磨边机::estimateDisp(列表)# #自由。size <- colsum (Y) # offset <- lib.size/exp(mean(log(lib.size))) # norm。因子<- list$samples$norm。因子# offset <- norm。factors*offset # # phi <- list$tagwise.dispersion # # cursus(Y,Yloc,V,Vloc,window=5,offset=offset,phi=phi)