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Dear All: I tried to use heatmap.2 to generate hierarchical clustering using the following command: heatmap.2(datamatrix, scale="row", trace="none", col=greenred(256), labRow=genelist[,1], margins=c(10,10), Rowv=TRUE, Colv=TRUE) datamatrix is subset of a RMA normalized data subset by a genelist. The problem is a lot of times, the z-score in key are from, like -5 to 15 or

...ayes" [29] "JointAI" "lava" "lme4" "lmeresampler" [33] "lmtest" "logistf" "MASS" "maxLik" [37] "metafor" "mitml" "MKmisc" "mmrm" [41] "mosaic" "MplusAutomation" "multcomp" "ordinal" [45] "papaja" "parsnip" "prodlim" "R2admb" [49] "rethinking" "riskRegress...

? Tue, 21 May 2024 08:00:11 +0000 Dario Strbenac via R-devel <r-devel at r-project.org> ?????: > Would a less resource-intensive value, such as 1, be a safer default > CPU value for confint? Which confint() method do you have in mind? There is at least four of them by default in R, and many additional classes could make use of stats:::confint.default by implementing vcov(). >

...egrativeME (1.2), integrOmics (2.55), interval (0.9-9.6), ipw (1.0-4), kml (1.1.1), ks (1.6.11), latticeExtra (0.6-9), lda (1.2), lokern (1.0-9), longitudinalData (0.6.3), MAc (1.0.5), MAc (1.0.6), MAd (0.2), mboost (2.0-3), mc2d (0.1-7), mclust (3.4.3), MCMCglmm (2.03), mhsmm (0.3.2), mixAK (0.8), MKmisc (0.6.1), monomvn (1.8-1), MplusAutomation (0.2-2), MplusAutomation (0.2-3), multcomp (1.1-6), mvpart (1.3-1), ncvreg (2.0), neuralnet (1.3), nlstools (0.0-10), noia (0.94), nor1mix (1.1-2), party (0.9-9993), pcaPP (1.8), penalized (0.9-30), pgirmess (1.4.4), phyclust (0.1-5), picante (1.0-1), plotr...

...yperbolic (0.8-0), GGEBiplotGUI (1.0-1), ggmap (2.0), growcurves (0.1.1), gWidgetsRGtk2 (0.0-81), hash (2.1.0.1), HiddenMarkov (1.7-0), ISIPTA (0.1-7), lavaan (0.4-13), lcmm (1.5.1), lifecontingencies (0.9.2), LIHNPSD (0.2.1), LMERConvenienceFunctions (1.6.8.2), markdown (0.4), medAdherence (1.03), MKmisc (0.91), modTempEff (1.5.1), mvnormtest (0.1-9), ncdf4 (1.6), ncdf4 (1.6.1), negenes (1.0-1), oposSOM (0.1-4), pcaPP (1.9-46), phenology (3.29), polySegratioMM (0.6-2), pomp (0.41-3), psgp (0.3-1), QCA (1.0-1), QCA3 (0.0-5), quantreg (4.79), Rcmdr (1.8-4), RcppArmadillo (0.3.0.1), RcppArmadillo (0.3...