plot.CorrData {IdMappingAnalysis} | R Documentation

## Scatterplot of experiment data

### Description

Scatterplot of experiment data.

### Usage

    ## S3 method for class 'CorrData'
    plot(x, input, outcomePairs=NULL, xlab="protein count", ylab="mRNA expression (log10)", method="spearman", proteinNames=NULL, cols=brewer.pal(9, "Set1"), cex=1, cex.main=1.2, cex.lab=1, cex.axis=1, font=1, font.main=3, par.zoom=1, ...)

### Arguments

`input` | character vector of primary IDs, or either vector or list of match pairs.
`outcomePairs` | The pairs <sample ID, outcome> or `NULL` (default). In the first case the scatterplot points are plotted with symbol corresponding to the first letter of the outcome keyword. In the second, if there are more than one pair is plotted the point set for each pair is marked as 1, 2, etc. and if there is only one pair is present the unfilled circles are used
`xlab` | The X axis label. Default is 'protein count'.
`ylab` | The Y axis label. Default is 'mRNA expression'.
`method` | the method used to compute the correlation coefficient between X and Y data. Default is "spearman".
`proteinNames` | extra comments in the plot main title. Default is `NULL` (no extra comments).
`cols` | the (recycled) vector of colors to plot each data series with for the particular match pair. Default is RColorBrewer::brewer.pal(9,"Set1").
`cex` | Plot font size. Default is 1.
`cex.main` | Main title font size. Default is 1.2.
`cex.lab` | X and Y titles font size. Default is 1.
`cex.axis` | X and Y axis labels font size. Default is 1.
`font` | data points and axis labels font. Default is 2.
`font.main` | main title font type. Default is 3.
`par.zoom` | graphics parameters zoom factor. Scales the graphical parameters like cex, lwd, mai etc. Default is 1.
`...` | Additional graphical parameters

### Author(s)

Alex Lisovich, Roger Day

### See Also

For more information see `CorrData`.

### Examples

     #scatterplot with outcome for Uniprot="P07355" (annexin 2), probe set ID="213503_x_at"
     examples$corrData$plot(input=list(c("P07355", "213503_x_at")),
    	xlab="spectral count",
    	outcomePairs=examples$outcomeMap, proteinNames="ANXA2",
    	cols=c("green", "red", "darkblue"));

[Package IdMappingAnalysis version 1.24.0 Index]