Summarizes the columns of an H2OFrame.
A method for the summary generic. Summarizes the columns of an H2O data frame or subset of
columns and rows using vector notation (e.g. dataset[row, col]).
h2o.summary(object, factors = 6L, exact_quantiles = FALSE, ...) ## S3 method for class 'H2OFrame' summary(object, factors, exact_quantiles, ...)
object |
An H2OFrame object. |
factors |
The number of factors to return in the summary. Default is the top 6. |
exact_quantiles |
Compute exact quantiles or use approximation. Default is to use approximation. |
... |
Further arguments passed to or from other methods. |
By default it uses approximated version of quantiles computation, however, user can modify this behavior by setting up exact_quantiles argument to true.
A table displaying the minimum, 1st quartile, median, mean, 3rd quartile and maximum for each numeric column, and the levels and category counts of the levels in each categorical column.
## Not run:
library(h2o)
h2o.init()
prostate_path <- system.file("extdata", "prostate.csv", package = "h2o")
prostate <- h2o.importFile(path = prostate_path)
summary(prostate)
summary(prostate$GLEASON)
summary(prostate[, 4:6])
summary(prostate, exact_quantiles = TRUE)
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.