statVisual: The Wrapper Function Incorporating All Wrapper Functions in...

In statVisual: Statistical Visualization Tools

Description

The wrapper function incorporating all wrapper functions in statVisual.

Usage

statVisual(type, ...)

Arguments

type	character. Indicate the functions to be called. It can take the following values: “BiAxisErrBar”, “Box”, “BoxROC”, “cv_glmnet_plot”, “Den”, “Dendro”, “ErrBar”, “Heat”, “Hist”, “ImpPlot”, “iprcomp”, “LinePlot”, “PCA_score”, “PVCA”, “statVisual”, “Volcano”, “XYscatter”.
...	input parameters for the functions specified by type.

Author(s)

Wenfei Zhang <[e-mail]>, Weiliang Qiu <[e-mail]>, Xuan Lin <[e-mail]>, Donghui Zhang <[e-mail]>

See Also

BiAxisErrBar, Box, BoxROC, cv_glmnet_plot, Den, Dendro, ErrBar, Heat, Hist, ImpPlot, iprcomp, LinePlot, PCA_score, PVCA, statVisual, Volcano, XYscatter.

Examples

data(esSim)
print(esSim)

# expression data
dat = exprs(esSim)
print(dim(dat))
print(dat[1:2,])

# phenotype data
pDat = pData(esSim)
print(dim(pDat))
print(pDat[1:2,])

# feature data
fDat = fData(esSim)
print(dim(fDat))
print(fDat[1:2,])

# choose the first probe which is over-expressed in cases
pDat$probe1 = dat[1,]

# check histograms of probe 1 expression in cases and controls
print(table(pDat$grp, useNA = "ifany"))

statVisual(type = 'Hist', 
       data = pDat, 
       y = 'probe1', 
       group = 'grp') 

statVisual documentation built on Feb. 21, 2020, 1:08 a.m.