multiplot {DeconRNASeq} | R Documentation

## Draw the plots of proportions of cells determined from deconvolution vs. proportions of the cells actually mixed (when available) with RMSE.

### Description

A function is used to draw the multiple plots of proportions of cells determined from deconvolution vs. proportions of the cells actually mixed. Each plot corresponds to one tissue/cell.

### Usage

    multiplot(..., plotlist = NULL, cols)

### Arguments

`...` | any number of the plot objects that store the scatter plots for all the cells/tissue types
`plotlist` | any other plot objects
`cols` | columns of the plots, default = 1

### Value

A pdf file with the plots of proportions of cells determined from deconvolution vs. proportions of the cells actually mixed with RMSE

### Author(s)

Ting Gong tinggong@gmail.com Joseph D. Szustakowski joseph.szustakowski@novartis.com

### References

Gong, T., et al. (2011) Optimal Deconvolution of Transcriptional Profiling Data Using Quadratic Programming with Application to Complex Clinical Blood Samples, PLoS One, 6, e27156.

### Examples

    ## The function is currently defined as
    function (..., plotlist = NULL, cols)
    {
        pdf("scatterplots.pdf")
        require(grid)
        plots <- c(list(...), plotlist)
        numPlots = length(plots)
        plotCols = cols
        plotRows = ceiling(numPlots/plotCols)
        grid.newpage()
        pushViewport(viewport(layout = grid.layout(plotRows, plotCols)))
        vplayout <- function(x, y) viewport(layout.pos.row = x, layout.pos.col = y)
        for (i in 1:numPlots) {
            curRow = ceiling(i/plotCols)
            curCol = (i - 1)%%plotCols + 1
            print(plots[[i]], vp = vplayout(curRow, curCol))
        }
        dev.off()
      }

[Package DeconRNASeq version 1.32.0 Index]