Plots the simple co-occurrence based tabulation of X vs Y as a heatmap, where X and Y are two Vecs in a given dataset. This function requires suggested ggplot2 package.
# S3 method for H2OTabulate plot(x, xlab = x$cols[1], ylab = x$cols[2], base_size = 12, ...)
x | An H2OTabulate object for which the heatmap plot is desired. |
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xlab | A title for the x-axis. Defaults to what is specified in the given H2OTabulate object. |
ylab | A title for the y-axis. Defaults to what is specified in the given H2OTabulate object. |
base_size | Base font size for plot. |
... | additional arguments to pass on. |
Returns a ggplot2-based heatmap of co-occurance.
# NOT RUN { library(h2o) h2o.init() df <- as.h2o(iris) tab <- h2o.tabulate(data = df, x = "Sepal.Length", y = "Petal.Width", weights_column = NULL, nbins_x = 10, nbins_y = 10) plot(tab) # }