# # = FALSE,消息,结果= "隐藏 "-------------------------------------------- 图书馆sesameDataCache(芝麻) () ## ---- qc1 eval = FALSE ---------------------------------------------------------- # ## 计算指标在所有IDATs在一个特定的文件夹# qc = openSesame (idat_dir,准备= ",func = sesameQC_calcStats) # #——回声= FALSE --------------------------------------------------------------- 库(knitr) kable (data.frame(“短键”= c(“检测”、“numProbes”,“强度”、“通道”,“dyeBias”、“贝塔”),“描述”= c(“信号检测”、“探针”,“信号强度”、“颜色通道”、“染料偏见”,“贝塔值 "))) ## ---- qc2 ---------------------------------------------------------------------- 自卫队< - sesameDataGet(“EPIC.5.SigDF.normal”)[1:2]# # #两个例子只计算信号检测统计数据质量控制= openSesame (sdf,准备= " ",func = sesameQC_calcStats,乐趣=“检测”)质量控制[[1 ]] ## ---- qc3 ---------------------------------------------------------------------- sesameQC_getStats (qc[[1]],”frac_dt ") ## ---- qc4 ---------------------------------------------------------------------- ## sesameQC列表合并成一个数据帧头(做的。调用(rbind lapp (qc, as.data.frame ))) ## ---- qc5、消息= FALSE ------------------------------------------------------- 自卫队< - sesameDataGet(“EPIC.1.SigDF”)qc = openSesame (sdf,准备= ",func = sesameQC_calcStats乐趣= c(“检测”))# #相当于直接调用qc = sesameQC_calcStats (sdf, c(“检测”))qc # #——qc6回声= FALSE ---------------------------------------------------------- 选项(rmarkdown.html_vignette。# #——qc7 check_title = FALSE) ---------------------------------------------------------------------- 自卫队< - sesameDataGet (EPIC.1.SigDF) qc < - sesameQC_calcStats (sdf,“强度”)qc sesameQC_rankStats (qc、平台= "史诗 ") ## ----------------------------------------------------------------------------- sessionInfo ()