我使用R包已经运行完软阈值，在做模板聚类图时，软件一直提示错误
代码
pow=7
net = blockwiseModules(datExpr, power =
pow, maxBlockSize = 9000,
TOMType =
"unsigned", minModuleSize = 30,
reassignThreshold = 0,
mergeCutHeight = 0.25,
numericLabels = TRUE,
pamRespectsDendro = FALSE,
saveTOMs = TRUE,
saveTOMFileBase =
"FPKM-TOM",
verbose = 3)
运行结果
Calculating module eigengenes block-wise from all genes
Flagging genes and samples with too many missing values...
..step 1
Error in goodGenes(datExpr, weights, goodSamples, goodGenes, minFraction = minFraction, :
datExpr must contain numeric data.
然后我又试了一个，Rnet = blockwiseModules(dataExpr, power =7, maxBlockSize =9000, TOMType = type, minModuleSize = 30, reassignThreshold = 0,
mergeCutHeight = 0.25, numericLabels = TRUE, pamRespectsDendro = FALSE,
saveTOMs=TRUE, corType = corType, maxPOutliers=maxPOutliers, loadTOMs=TRUE,
saveTOMFileBase = paste0(exprMat, ".tom"), verbose = 3)
提示错误 Error in pmatch(corType, .corTypes) : 找不到对象'corType'
