cov

Compute the covariance between two expressions.

Usage

cov(x, ...)

covar_samp(col1, col2)

covar_pop(col1, col2)

# S4 method for class 'characterOrColumn'
cov(x, col2)

# S4 method for class 'characterOrColumn,characterOrColumn'
covar_samp(col1, col2)

# S4 method for class 'characterOrColumn,characterOrColumn'
covar_pop(col1, col2)

# S4 method for class 'SparkDataFrame'
cov(x, colName1, colName2)

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.

col1

the first Column.

col2

the second Column.

colName1

the name of the first column

colName2

the name of the second column

Value

The covariance of the two columns.

Details

cov: Compute the sample covariance between two expressions.

covar_sample: Alias for cov.

covar_pop: Computes the population covariance between two expressions.

cov: When applied to SparkDataFrame, this calculates the sample covariance of two numerical columns of one SparkDataFrame.

Note

cov since 1.6.0

covar_samp since 2.0.0

covar_pop since 2.0.0

cov since 1.6.0

See also

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

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

Examples

if (FALSE) { # \dontrun{
df <- createDataFrame(cbind(model = rownames(mtcars), mtcars))
head(select(df, cov(df$mpg, df$hp), cov("mpg", "hp"),
                covar_samp(df$mpg, df$hp), covar_samp("mpg", "hp"),
                covar_pop(df$mpg, df$hp), covar_pop("mpg", "hp")))} # }

if (FALSE) { # \dontrun{
cov(df, "mpg", "hp")
cov(df, df$mpg, df$hp)} # }