Mercurial > repos > iuc > ggplot2_histogram
diff ggplot_histogram.xml @ 0:9d060114554c draft
planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/ggplot2 commit 6e466ce83e2e5c0dd0ba30356d0488cf74574b8f
author | iuc |
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date | Tue, 22 Aug 2017 06:41:36 -0400 |
parents | |
children | f52035800250 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/ggplot_histogram.xml Tue Aug 22 06:41:36 2017 -0400 @@ -0,0 +1,138 @@ +<tool id="ggplot2_histogram" name="Histogram w ggplot2" version="@VERSION@"> + <macros> + <import>macros.xml</import> + </macros> + <expand macro="requirements"> + <requirement type="package" version="1.4.2">r-reshape2</requirement> + </expand> + <command detect_errors="exit_code"><![CDATA[ +cat '$script' && +Rscript '$script' + ]]></command> + <configfiles> + <configfile name="script"><![CDATA[ + +@R_INIT@ + +## Import library +library("reshape2") +library("ggplot2") + +integrated <- read.csv('$input1', sep='\t', header=TRUE) +input <- melt(integrated) + +## Show/hide legend +#if $legend == "yes" + gg_legend = NULL +#else + gg_legend = theme(legend.position="none") +#end if + +## density +#if $density == "counts" + gg_density = ggplot(input,aes(value, color=variable)) + gg_freq = NULL +#elif $density == "nfreq" + gg_density = ggplot(input,aes(value, ..ncount.., color=variable)) + gg_freq = NULL +#elif $density == "freq" + gg_density = ggplot(input,aes(value, color=variable)) + gg_freq = aes(y=..count../sum(..count..)) +#end if + +@XY_SCALING@ + +gg_width = $with_output_dim +gg_height = $height_output_dim + + +@TRANSFORM@ + +#if $facet == "facet" + gg_facet = facet_wrap(~ variable) +#else + gg_facet = NULL +#end if + +#if $coloring.colorscheme == "Default" + gg_colorscale = NULL +#else + gg_colorscale = scale_color_brewer(palette=$coloring.colors, direction=$coloring.colororder) +#end if + +gg_density+ +geom_freqpoly(gg_freq, binwidth=$binwidth, size=$size)+gg_facet+gg_colorscale+ +gg_scalex+gg_scaley+theme_bw()+xlab('$xlab')+ylab('$ylab')+gg_legend+ggtitle('$title') + +ggsave(file='Rplot.pdf') +dev.off() + ]]></configfile> + </configfiles> + <inputs> + <param name="input1" type="data" format="tabular" label="Input should have column headers - these will be the columns that are plotted"/> + <expand macro="title" /> + <expand macro="xy_lab" /> + <param name="size" type="float" value="1.0" label="relative line width" /> + <param name="binwidth" type="float" value="0.5" label="Bin width for plotting"/> + + <expand macro="transform" /> + + <param name="density" type="select" label="Advanced - plot counts or density"> + <option value="counts">Plot counts on the y-axis</option> + <option value="freq">Plot frequency on the y-axis</option> + <option value="nfreq">Plot normalized frequency on the y-axis</option> + </param> + <param name="facet" type="select" label="Advanced - faceting"> + <option value="none">Plot my groups on one plot</option> + <option value="facet">Plot my groups on individual plots</option> + </param> + <conditional name="coloring"> + <param name="colorscheme" type="select" label="Advanced - coloring groups" > + <option value="Default" selected="True">No thanks - just use the default scheme to color code my groups (columns)</option> + <option value="Defined">I want to use defined color palettes to differentiate my groups (columns) </option> + </param> + <when value="Default"> + </when> + <when value="Defined"> + <expand macro="colors" /> + <param name="colororder" type="select" label="Reverse color scheme" > + <option value="1">Default order of color scheme</option> + <option value="-1">Reverse the order of my color scheme</option> + </param> + </when> + </conditional> + <expand macro="xy_scaling" /> + <expand macro="dimensions" /> + <param name="legend" type="select" label="Legend options"> + <option value="yes">Include legend on plot</option> + <option value="no">Hide legend</option> + </param> + </inputs> + <outputs> + <!-- <data name="output1" format="png" from_work_dir="Rplot.png"/> + ToDo: It would be nice to have different output formats for all tools + --> + <data name="output1" format="pdf" from_work_dir="Rplot.pdf"/> + </outputs> + <tests> + <test> + <param name="input1" value="mtcars.txt"/> + <output name="output1" file="ggplot_histogram_result1.pdf" compare="sim_size"/> + </test> + </tests> + <help><![CDATA[ + +This tool will generate a histogram representing the distrinutions of each numerical column. Each column should have a descriptive header with no spaces, which will be used in the plot legend to represent the corresponding column (group). + +Input data example: +ID Cond_A Cond_B +gene_A 10 15 +gene_B 8 12 +gene_C 10 15 +gene_D 6 9 +gene_E 9 13.5 +gene_F 8 12 + + ]]></help> + <expand macro="citations"/> +</tool>