h2o (version 3.40.0.4)

h2o.mean: Compute the frame's mean by-column (or by-row).

Description

Compute the frame's mean by-column (or by-row).

Usage

h2o.mean(x, na.rm = FALSE, axis = 0, return_frame = FALSE, ...)
# S3 method for H2OFrame
mean(x, na.rm = FALSE, axis = 0, return_frame = FALSE, ...)

Value

Returns a list containing the mean for each column (NaN for non-numeric columns) if return_frame is set to FALSE. If return_frame is set to TRUE, then it will return an H2O frame with means per column or row (depends on axis argument).

Arguments

x

An H2OFrame object.

na.rm

logical. Indicate whether missing values should be removed.

axis

integer. Indicate whether to calculate the mean down a column (0) or across a row (1). NOTE: This is only applied when return_frame is set to TRUE. Otherwise, this parameter is ignored.

return_frame

logical. Indicate whether to return an H2O frame or a list. Default is FALSE (returns a list).

...

Further arguments to be passed from or to other methods.

See Also

Round for base R implementation, mean() and colSums for the base R implementation, colMeans().

Examples

if (FALSE) {
library(h2o)
h2o.init()

prostate_path <- system.file("extdata", "prostate.csv", package = "h2o")
prostate <- h2o.uploadFile(path = prostate_path)
# Default behavior. Will return list of means per column.
h2o.mean(prostate$AGE)
# return_frame set to TRUE. This will return an H2O Frame
# with mean per row or column (depends on axis argument)
h2o.mean(prostate, na.rm = TRUE, axis = 1, return_frame = TRUE)
}