h2o.tabulate | R Documentation |
Simple Co-Occurrence based tabulation of X vs Y, where X and Y are two Vecs in a given dataset. Uses histogram of given resolution in X and Y. Handles numerical/categorical data and missing values. Supports observation weights.
h2o.tabulate(data, x, y, weights_column = NULL, nbins_x = 50, nbins_y = 50)
data |
An H2OFrame object. |
x |
predictor column |
y |
response column |
weights_column |
(optional) observation weights column |
nbins_x |
number of bins for predictor column |
nbins_y |
number of bins for response column |
Returns two TwoDimTables of 3 columns each count_table: X Y counts response_table: X meanY counts
## 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)
## End(Not run)
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