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wrGraph (version 1.3.7)

Graphics in the Context of Analyzing High-Throughput Data

Description

Additional options for making graphics in the context of analyzing high-throughput data are available here. This includes automatic segmenting of the current device (eg window) to accommodate multiple new plots, automatic checking for optimal location of legends in plots, small histograms to insert as legends, histograms re-transforming axis labels to linear when plotting log2-transformed data, a violin-plot function for a wide variety of input-formats, principal components analysis (PCA) with bag-plots to highlight and compare the center areas for groups of samples, generic MA-plots (differential- versus average-value plots) , staggered count plots and generation of mouse-over interactive html pages.

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Version

Install

install.packages('wrGraph')

Monthly Downloads

773

Version

1.3.7

License

GPL-3

Maintainer

Wolfgang Raffelsberger

Last Published

January 22nd, 2024

Functions in wrGraph (1.3.7)

Make matrix for layout to partition plotting area

Search Column Name This function provides help when seraching column names

foldChangeArrow

Add arrow for expected Fold-Change to VolcanoPlot or MA-plot

Histogram (version by WR)

mouseOverHtmlFile

Create mouse-over interactive html-pages (with links)

Predict and return pixel location of points of current plot

Transform levels into index

Add histogram to existing plot

.sampNoDeMArrayLM

Locate sample index from index or name of pair-wise comparisons

Display numeric content of matrix as image

PCA plot with bag-plot to highlight groups

Plot linear regression and confidence interval of regression

Violin-plots version W

Separate and plot data by 2 groups

x-y plot with 2 legends

staggerdCountsPlot

Staggered Chart for Ploting Counts to Multiple Leveles of the Threshold used

Plot profiles according to CLustering

convertPlotCoordPix

Convert points of plot to coordinates in pixels

Add bagplot to existing plot

Find best place on plot for placing legend

Search best corner of plot for placing for legend This function aims to find best corner for plotting a legend.

Volcano-Plot (Statistical Test Outcome versus Relative Change)

Cumulative (or sorted) frequency plot (takes columns of 'dat' as separate series)

.addTextToPoints

Add text to points on plot

.determFigMargPix

Estimate size/distance of margin to edge of image (png) in pixels

Colors based on p-Values

MA-plot (differential intensity versus average intensity)