rsgcc (version 1.0.6)

rsgcc.gui: graphical user interface (GUI) of rsgcc package

Description

This function provides a graphical user interface (GUI) to perform the correlation and clustering analysis via a series of mouse actions without command-line based R programmming. The output of clustering informaiton in "CDT" format can be further visulized and analyzed by TreeView program.

Usage

rsgcc.gui(margins = c(1, 1), labRow = "", labCol = "",  lwid = c(0.5, 0.05, 0.01, 0.5, 0.01, 0.05, 0.5),  keynote = "FPKM")

Arguments

margins

a numeric vector containing 2 elements specifying the margins for heat map. See (par(mar=*)).

labRow

character strings indicating the lables of rows. Default to rownames(x).

labCol

character strings indicating the lables of columns. Default to colnames(x).

lwid

column width for visual layout.

keynote

a character string indicating the lable of color key.

Details

For heat map of ts-genes, rsgcc will run the gcc.tsheatmap function. the lwid could be c(0.5, 0.05, 0.01, 0.5, 0.01, 0.05, 0.5). The 2nd, 4th and 6th elements are column widths of color tissue bar, heat map and color key bar. The 3rd and 5th are the widths of separation for these three figures. The The first and last elements are the widths of "blank region" for displaying the labels of tissue and key bar. If the option "Find and cluster ts-genes" is not selected, rsgcc will call the gcc.heatmap for clustering analysis. In this case, the lwid should be a numeric vector with two elements(e.g.,c(0.65,4)). Here 0.65 is the width of column for row dendrogram. 4 is the width of heat map.

See Also

gcc.tsheatmap, gcc.heatmap.

Examples

## Not run: 
#    library("gWidgetsRGtk2")
# 
#    library(rsgcc)
# 
#    ## the GUI of rsgcc will show up after the GUI toolkit "gWidgetsRGtk2" is selected.
#    rsgcc.gui()
# ## End(Not run)