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

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,
  ...)

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.

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).

See also

mean , rowMeans, or colMeans for the base R implementation

Examples

# NOT RUN {
h2o.init()
prosPath <- system.file("extdata", "prostate.csv", package="h2o")
prostate.hex <- h2o.uploadFile(path = prosPath)
# Default behavior. Will return list of means per column.
h2o.mean(prostate.hex$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.hex,na.rm=TRUE,axis=1,return_frame=TRUE)
# }