ml_corr: Compute correlation matrix
In rstudio/sparklyr: R Interface to Apache Spark

ml_corr

R Documentation

Compute correlation matrix

Description

Compute correlation matrix

Usage

ml_corr(x, columns = NULL, method = c("pearson", "spearman"))

Arguments

`x`	A `tbl_spark`.
`columns`	The names of the columns to calculate correlations of. If only one column is specified, it must be a vector column (for example, assembled using `ft_vector_assember()`).
`method`	The method to use, either `"pearson"` or `"spearman"`.

Value

A correlation matrix organized as a data frame.

Examples

## Not run: 
sc <- spark_connect(master = "local")
iris_tbl <- sdf_copy_to(sc, iris, name = "iris_tbl", overwrite = TRUE)

features <- c("Petal_Width", "Petal_Length", "Sepal_Length", "Sepal_Width")

ml_corr(iris_tbl, columns = features, method = "pearson")

## End(Not run)

rstudio/sparklyr documentation built on March 29, 2024, 3:30 p.m.