Facets divide a ggplot into subplots based on the values of one or more categorical variables. When you are creating multiple plots that share axes, you should consider using facet functions from ggplot2 You write your ggplot2 code as if you were putting all of the data onto one plot, and...
Correlogram lets you examine the correlation of multiple continuous variables present in the same dataframe. This is conveniently implemented using the ggcorrplot package. # devtools::install_github("kassambara/ggcorrplot") library(ggplot2) library(ggcorrplot) # Correlation matrix data(mtcars) corr <...
Create a scatter plot of y = f(x) Add, for example, the box plot of the variables x and y inside the scatter plot using the function annotation_custom() As the inset box plot overlaps with some points, a transparent background is used for the box plots. # Create a transparent theme...
Aestheticsis used to indicate x and y variables. It can also be used to control thecolor, thesizeor theshapeof points, the height of bars, etc….. Geometrydefines the type of graphics (histogram,box plot,line plot,density plot,dot plot, ….) ...
Barplot with multiple groups Create stacked and dodged bar plots. Use the functionsscale_color_manual()andscale_fill_manual()to set manually the bars border line colors and area fill colors. # Stacked bar plots of y = counts by x = cut,# colored by the variable colorggplot(df2, aes(x ...
ggplot(df, aes(x = x, fill = group)) + geom_bar() stat = “identity” Settingstat = "identity"you can create a stacked bar plot for multiple variables. In this scenario you can pass other variable toaes, representing the value or count of that variable. ...
Same idea, but using 2 categorical variables for the faceting. Customized An advanced examples to make sure you know how to make your small multiple pretty. Strip features Customize the general layout with the strip option. Mixing charts
# One limitationofggExtra is that it can’t copewithmultiple groupsinthe scatter plot and the marginal plots.#Asolution is providedinthefunctionggscatterhist()[ggpubr]:library(ggpubr)# Grouped Scatter plotwithmarginal density plotsggscatterhist(iris,x="Sepal.Length",y="Sepal.Width",color="Spe...
Multiple Variables library(reshape2) library(plotly) test_data <- data.frame( var0 = 100 + c(0, cumsum(runif(49, -20, 20))), var1 = 150 + c(0, cumsum(runif(49, -10, 10))), date = seq(as.Date("2002-01-01"), by="1 month", length.out=100) ) test_data_long <- mel...
A plot may have multiple layers, as in the example where we overlaid a smoothed line on a scatterplot. All together, the layered grammar defines a plot as the combination of: • A default dataset and set of mappings from variables to aesthetics. • One or more layers, each composed ...