This package creates plots using quantile binning.
Quantile binning is an exploratory data analysis tool that helps to see the distribution of the variables in a dataset as a function of the variable that is binned.
A data.frame is quantile binned on a variable x using qbin() and then
plotted with one of the avaible plot functions.
qbinplots offers various types of plots:
qbin_* quantile binned plots that show the distribution of the variables in the quantile bins.
cond_* conditional quantile plots that show the distribution of the variables conditional on the x variable.
qbin_lineplot() highlights the change in median between qbins, shows the distribution within qbins.
qbin_barplot() shows the size of medians or expected value of qbins.
qbin_boxplot() shows the distribution within qbins.
qbin_heatmap() shows the distribution within the qbins.
cond_boxplot() shows the distribution of the variables conditional on the x variable.
cond_barplot() shows the expected median/mean of the variables conditional on the x variable.
funq_plot() shows a functional view of the data, plotting the median and
interquartile range of numerical variables and level frequency of the other
variables as a function of the x variable using quantile bins.
Useful links: