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    <title>Exploration on BioViz Graph Gallery</title>
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    <description>Recent content in Exploration on BioViz Graph Gallery</description>
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      <title>Lineplots</title>
      <link>/post/lineplots/</link>
      <pubDate>Wed, 12 Jul 2017 00:00:00 +0000</pubDate>
      
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      <description>Generate Data library(BioViz) library(reshape2) library(ggplot2) n=7 df &amp;lt;- data.frame(Dose1=exp((1/2)*1:n), Dose2=exp((1/3)*1:n), Dose3=exp((1/4)*1:n), Dose4=exp((1/5)*1:n), Dose5=exp((1/6)*1:n), Dose6=exp((1/7)*1:n), Visit=1:n) df &amp;lt;- melt(df, id=c(&amp;quot;Visit&amp;quot;)) colnames(df) &amp;lt;- c(&amp;quot;Visit&amp;quot;, &amp;quot;Dose&amp;quot;, &amp;quot;Measure&amp;quot;)   Lineplot with Errorbars general.lineplot(df, upper.err=1, lower.err=1, var.type=&amp;quot;errorbar&amp;quot;) ## Warning: Ignoring unknown aesthetics: fill  Lineplot with Errorbars and log transformed y-axis general.lineplot(df, upper.err=1, lower.err=1, var.type=&amp;quot;errorbar&amp;quot;, y.log10trans = T) ## Warning: Ignoring unknown aesthetics: fill  Facetted Lineplot general.lineplot(df, by=&amp;quot;Dose&amp;quot;, facet.row=3, upper.err=1, lower.err=1, var.type=&amp;quot;errorbar&amp;quot;, y.log10trans = T) ## Warning: Ignoring unknown aesthetics: fill  Lineplot with Error Ribbons general.</description>
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      <title>Principle Components</title>
      <link>/post/principle-components/</link>
      <pubDate>Wed, 12 Jul 2017 00:00:00 +0000</pubDate>
      
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      <description>Component Plot The components of the PCA dimensionality reduction will be displayed in a pairs plot. Each of the components are plottet against each other.
 The lower diagonal shows the data points projected to the respective two dimensional component space. The upper diagonal shows a contour plot of the data projected the respective two dimensional component space. The diagonal shows a density plot of the projection of variables to a principal component axis.</description>
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      <title>Scatterplots</title>
      <link>/post/scatterplot/</link>
      <pubDate>Tue, 11 Jul 2017 00:00:00 +0000</pubDate>
      
      <guid>/post/scatterplot/</guid>
      <description>Definition A scatter plot (also called a scatter graph, scatter chart, scattergram, or scatter diagram) is a type of plot or mathematical diagram using Cartesian coordinates to display values for typically two variables for a set of data. If the points are color-coded, one additional variable can be displayed. The data is displayed as a collection of points, each having the value of one variable determining the position on the horizontal axis and the value of the other variable determining the position on the vertical axis.</description>
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