Here is the traditionalplyrapproach. It usescolwiseto compute summary statistics on all columns. means<-ddply(iris,.(Species),colwise(mean))sds<-ddply(iris,.(Species),colwise(sd))merge(means,sds,by="Species",suffixes=(".mean",".sd")) <-# Helper function similar to "colwise...
.clear all.sysuse auto(1978 automobile data) .dtable i.foreign mpg if rep78==3, name(a1).dtable i.foreign mpg if rep78==4, name(a2).dtable i.foreign mpg if rep78==5, name(a3).collect combine all = a1 a2 a3.*change the display format for means and sds.collect style cell re...
Next, to elucidate the mechanism and regulation of RPA phase separation, we turned again to the cellular optoDroplet system for the following reasons: the induction of optoDroplets by blue light not only provides a means to reversibly trigger protein condensation in the natural environment of livin...
Table 2. Pearson correlations, Cronbach’s alpha, means, SDs, and possible ranges of the study variables (N = 356). 3.4. Structural Equation Modeling for Examining Relationships between Study Variables To test the research model, we first conducted a Confirmatory Factor Analysis (CFA) to exa...
Table 2. Pearson correlations, Cronbach’s alpha, means, SDs, and possible ranges of the study variables (N = 356). 3.4. Structural Equation Modeling for Examining Relationships between Study Variables To test the research model, we first conducted a Confirmatory Factor Analysis (CFA) to exa...