corr: corr

In SparkR: R Front End for 'Apache Spark'

Description

Computes the Pearson Correlation Coefficient for two Columns.

Usage

corr(x, ...)

## S4 method for signature 'Column'
corr(x, col2)

## S4 method for signature 'SparkDataFrame'
corr(x, colName1, colName2, method = "pearson")

Arguments

x	a Column or a SparkDataFrame.
...	additional argument(s). If x is a Column, a Column should be provided. If x is a SparkDataFrame, two column names should be provided.
col2	a (second) Column.
colName1	the name of the first column
colName2	the name of the second column
method	Optional. A character specifying the method for calculating the correlation. only "pearson" is allowed now.

Value

The Pearson Correlation Coefficient as a Double.

Note

corr since 1.6.0

corr since 1.6.0

See Also

Other aggregate functions: avg(), column_aggregate_functions, count(), cov(), first(), last()

Other stat functions: approxQuantile(), cov(), crosstab(), freqItems(), sampleBy()

Examples

## Not run: 
df <- createDataFrame(cbind(model = rownames(mtcars), mtcars))
head(select(df, corr(df$mpg, df$hp)))
## End(Not run)

## Not run: 
corr(df, "mpg", "hp")
corr(df, "mpg", "hp", method = "pearson")
## End(Not run)

SparkR documentation built on June 3, 2021, 5:05 p.m.