/categories/general/ Recent content in General on BioViz Graph Gallery Hugo -- gohugo.io en-us Wed, 12 Jul 2017 00:00:00 +0000 /post/lineplots/ Wed, 12 Jul 2017 00:00:00 +0000 /post/lineplots/ Generate Data library(BioViz) library(reshape2) library(ggplot2) n=7 df <- 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 <- melt(df, id=c("Visit")) colnames(df) <- c("Visit", "Dose", "Measure") Lineplot with Errorbars general.lineplot(df, upper.err=1, lower.err=1, var.type="errorbar") ## Warning: Ignoring unknown aesthetics: fill Lineplot with Errorbars and log transformed y-axis general.lineplot(df, upper.err=1, lower.err=1, var.type="errorbar", y.log10trans = T) ## Warning: Ignoring unknown aesthetics: fill Facetted Lineplot general.lineplot(df, by="Dose", facet.row=3, upper.err=1, lower.err=1, var.type="errorbar", y.log10trans = T) ## Warning: Ignoring unknown aesthetics: fill Lineplot with Error Ribbons general. /post/scatterplot/ Tue, 11 Jul 2017 00:00:00 +0000 /post/scatterplot/ 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. /post/volcano_plot/ Fri, 07 Jul 2017 00:00:00 +0000 /post/volcano_plot/ Volcano Plot A volcano plot is a type of scatter-plot that is used to quickly identify changes in large data sets composed of replicate data. It plots significance versus fold-change on the y and x axes, respectively. These plots are increasingly common in omic experiments such as genomics, proteomics, and metabolomics where one often has a list of many thousands of replicate data points between two conditions and one wishes to quickly identify the most meaningful changes.